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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Built Environ.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Built Environment</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Built Environ.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2297-3362</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1741763</article-id>
<article-id pub-id-type="doi">10.3389/fbuil.2025.1741763</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Harnessing daylight strategies for maximizing visual comfort in architectural design studios</article-title>
<alt-title alt-title-type="left-running-head">Mohammed</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fbuil.2025.1741763">10.3389/fbuil.2025.1741763</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Mohammed</surname>
<given-names>Mohammed Alhaji</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3272148"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal Analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
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<aff id="aff1">
<label>1</label>
<institution>Department of Architectural Engineering and Construction Management, King Fahd University of Petroleum and Minerals (KFUPM)</institution>, <city>Dhahran</city>, <country country="SA">Saudi Arabia</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Interdisciplinary Research Center for Construction and Building Materials, KFUPM</institution>, <city>Dhahran</city>, <country country="SA">Saudi Arabia</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Mohammed Alhaji Mohammed, <email xlink:href="mailto:mohammed.mohammed@kfupm.edu.sa">mohammed.mohammed@kfupm.edu.sa</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>11</volume>
<elocation-id>1741763</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>11</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Mohammed.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Mohammed</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Lighting quality in educational facilities impacts visual comfort, particularly in architectural design studios where drawing and drafting require optimal conditions. This study examines daylighting in a design studio located in Nigeria to improve visual comfort. </p>
</sec>
<sec>
<title>Methods</title>
<p>The research employed questionnaire surveys, full-scale illuminance measurements, and Dialux Evo-9.2 simulations, with measurements validated within an acceptable error margin of &#x2264;20%. </p>
</sec>
<sec>
<title>Results</title>
<p>The survey results showed that 72% of respondents found the lighting to be either too bright or dim, while 73% reported poor daylight distribution. Respondents agreed daylight was adequate near windows but insufficient at the center. Measurements confirmed illumination levels below the required 500 lux, averaging 54.36, 147.97, and 140.25 lux across the locations, validating an uneven distribution. Simulations showed that high-level windows and clerestory openings would improve illuminance levels. The optimal orientation had the longer side (the longer fa&#xe7;ade side with a greater proportion of openings) facing the southern hemisphere, yielding the highest illuminance. The Daylight Glare Probability (&#x3c;0.3) and uniformity ratio (&#x3e;0.4) were within acceptable limits.</p>
</sec>
<sec>
<title>Discussion</title>
<p> The study recommends practical strategies to enhance daylighting efficiency in design studios, ensuring visual comfort, energy conservation, and optimal learning environments for future studio planning and policy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>daylighting</kwd>
<kwd>design studio</kwd>
<kwd>glare index</kwd>
<kwd>illuminance</kwd>
<kwd>opening</kwd>
<kwd>simulation</kwd>
<kwd>visual comfort</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The publication fee was supported by King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.</funding-statement>
</funding-group>
<counts>
<fig-count count="10"/>
<table-count count="11"/>
<equation-count count="1"/>
<ref-count count="115"/>
<page-count count="27"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Indoor Environment</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Visual comfort is critical in educational spaces, particularly design studios, where appropriate daylighting reduces reliance on artificial lighting and improves energy efficiency (<xref ref-type="bibr" rid="B15">Besagni and Borgarello, 2018</xref>). In tropical regions with frequent energy shortages, passive daylighting is a crucial aspect of sustainable building design (<xref ref-type="bibr" rid="B75">OAS, 2013</xref>). Globally, the building sector accounts for about 40% of total energy consumption (<xref ref-type="bibr" rid="B77">Omrany et al., 2016</xref>). Rising energy demand exacerbates urban heat islands, climate change, and CO<sub>2</sub> emissions, highlighting the value of passive strategies such as solar shading, optimal orientation, natural ventilation, and vegetation (<xref ref-type="bibr" rid="B113">Ismail et al., 2018</xref>; <xref ref-type="bibr" rid="B115">Mohammed, 2012</xref>; <xref ref-type="bibr" rid="B63">Lawal, 2008</xref>; <xref ref-type="bibr" rid="B4">Ajibola, 2001</xref>). Lighting energy use is strongly influenced by building geometry, orientation, and window-to-wall ratio (WWR) (<xref ref-type="bibr" rid="B96">Tavares and Martins, 2007</xref>; <xref ref-type="bibr" rid="B86">Roetzel and Tsangrassoulis, 2012</xref>). In Nigeria, where only about 40% of the population has access to electricity and generation capacity remains low (<xref ref-type="bibr" rid="B117">Sadik, 2015</xref>; <xref ref-type="bibr" rid="B26">Chad-Umoren and Ebiwonjumi, 2013</xref>), many buildings prioritize aesthetics over energy performance. This context highlights the need for passive daylighting to improve comfort, reduce energy use, and support sustainable design (<xref ref-type="bibr" rid="B74">Nwofe, 2014</xref>; <xref ref-type="bibr" rid="B110">Alagbe et al., 2019</xref>). Inadequate lighting negatively affects academic performance, with a national study indicating that only 14% of classrooms meet recommended illuminance levels (<xref ref-type="bibr" rid="B51">Ibhadode et al., 2017</xref>). Studies show that lighting conditions influence student performance, comprehension, and cognitive function (<xref ref-type="bibr" rid="B48">Heschong-Mahone-Group, 1999</xref>; <xref ref-type="bibr" rid="B49">Heschong-Mahone-Group, 2003</xref>; <xref ref-type="bibr" rid="B116">New Building Institute, 2002</xref>; <xref ref-type="bibr" rid="B55">Kehinde and Asojo, 2021</xref>), making optimal daylighting especially important in visually demanding studio environments.</p>
<p>Integrating passive daylighting elements into the building envelope can enhance indoor lighting quality and reduce artificial lighting demand (<xref ref-type="bibr" rid="B69">Mirrahimi et al., 2016</xref>). Daylighting, defined as the controlled use of natural light to decrease artificial lighting and conserve energy, supports visual comfort, productivity, and sustainability (<xref ref-type="bibr" rid="B10">Ander, 2023</xref>). Skylights, well-designed windows, and daylight-responsive controls help reduce artificial lighting when natural light is available (<xref ref-type="bibr" rid="B102">Wong, 2017</xref>; <xref ref-type="bibr" rid="B10">Ander, 2023</xref>), although high initial costs and limited contextual studies hinder their widespread adoption (<xref ref-type="bibr" rid="B102">Wong, 2017</xref>). Beyond energy savings, daylighting improves visual performance, regulates circadian rhythms, and promotes health, including reduced myopia risk and enhanced Vitamin D synthesis (<xref ref-type="bibr" rid="B70">Mott et al., 2014</xref>). Because people spend approximately 87% of their time indoors (<xref ref-type="bibr" rid="B58">Klepeis et al., 2001</xref>), appropriate daylighting in learning spaces fosters cognitive and developmental growth (<xref ref-type="bibr" rid="B55">Kehinde and Asojo, 2021</xref>) while lowering energy costs and daytime electricity demand.</p>
<p>Daylighting performance in classrooms is typically evaluated through illuminance, glare, and uniformity. Guidelines and rating systems (<xref ref-type="bibr" rid="B37">DfEE, 1999</xref>; LEED; BREEAM) specify minimum illuminance and glare control criteria to ensure visual comfort. Illuminance, measured in lux as luminous flux per unit area, is the primary metric (<xref ref-type="bibr" rid="B22">Carlucci et al., 2015</xref>). Minimum classroom illuminance is generally set at 300 lux, while laboratories, art rooms, and whiteboard areas require at least 500 lux (<xref ref-type="bibr" rid="B22">Carlucci et al., 2015</xref>). Glare, caused by excessive luminance contrasts, is classified as disability glare and discomfort glare (<xref ref-type="bibr" rid="B52">IESNA, 2000</xref>). Disability glare arises when sky luminance greatly exceeds interior surfaces, reducing visibility (<xref ref-type="bibr" rid="B37">DfEE, 1999</xref>), whereas discomfort glare, more common in classrooms, occurs when localized bright areas trigger eye strain, squinting, and headaches (<xref ref-type="bibr" rid="B45">Farshad, 2009</xref>; <xref ref-type="bibr" rid="B78">Osterhaus, 2005</xref>). Luminance, expressed in nits (cd/m<sup>2</sup>), quantifies light intensity in a given direction (<xref ref-type="bibr" rid="B22">Carlucci et al., 2015</xref>); while no universal threshold exists, 2000 nits is often considered acceptable and 6,000 nits intolerable (<xref ref-type="bibr" rid="B99">Wienold and Christoffersen, 2006</xref>). Glare indices such as the Unified Glare Rating (UGR), with a recommended maximum of 19 for offices (<xref ref-type="bibr" rid="B88">Sendrup, 2001</xref>), and Discomfort Glare Probability (DG) are commonly used to assess glare (<xref ref-type="bibr" rid="B31">Costanzo et al., 2017</xref>). Spatial Visual Discomfort (SVD), proposed by <xref ref-type="bibr" rid="B108">Zomorodian and Tahsildoost (2017)</xref>, defines spaces as uncomfortable when DG &#x3e; 0.45 occurs in more than 20% of the area; it recommends SVD &#x3c; 10% for classroom comfort.</p>
<p>Uniformity is another significant indicator, as large brightness variations can cause eye strain when occupants shift focus between over-lit and under-lit zones (<xref ref-type="bibr" rid="B22">Carlucci et al., 2015</xref>). The Uniformity Ratio, defined as minimum-to-mean (U1) or minimum-to-maximum (U2) illuminance, describes the evenness of light distribution (<xref ref-type="bibr" rid="B29">CIBSE, 2011</xref>; <xref ref-type="bibr" rid="B64">LedsMaster, 2021</xref>). Higher ratios indicate better uniformity, with 1.0 as the theoretical ideal (<xref ref-type="bibr" rid="B64">LedsMaster, 2021</xref>). BREEAM recommends a minimum of 0.4, whereas <xref ref-type="bibr" rid="B29">CIBSE (2011)</xref> suggests 0.7 for working areas, and classroom studies often exceed 0.4 (<xref ref-type="bibr" rid="B20">BREEAM, 2008</xref>). Achieving such values using daylight alone in side-lit classrooms is challenging; thus, BREEAM allows a lower threshold (U &#x3e; 0.3). Daylighting in schools must also support visually intensive tasks such as reading and writing while maintaining a glare-free learning environment (<xref ref-type="bibr" rid="B37">DfEE, 1999</xref>). Balanced daylighting therefore entails blocking direct sunlight and glare while providing diffuse daylight in task areas (<xref ref-type="bibr" rid="B45">Farshad, 2009</xref>). <xref ref-type="bibr" rid="B62">Lam (1977)</xref> argues, however, that perfectly uniform lighting is not always desirable: non-uniform daylight and sun patches can enhance visual interest and mood in non-task spaces such as corridors and atria. The National Best Practice Manual (<xref ref-type="bibr" rid="B111">CHPS, 2006</xref>) consolidates these considerations by outlining essential daylighting metrics for educational buildings, summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Metrics used to assess daylight performance in classrooms.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Metric</th>
<th align="center">Symbol</th>
<th align="center">Recommendations (classrooms)</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="center">Illuminance</td>
<td align="left">
<italic>E</italic>
</td>
<td align="left">
<italic>Em</italic> &#x3e; 300 lux</td>
<td align="left">[<xref ref-type="bibr" rid="B29">CIBSE, 2011</xref>; <xref ref-type="bibr" rid="B40">EN 12464-1, 2011</xref>; UNI EN 17037, 2018]</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">
<italic>E</italic> &#x3e; 300 lux for &#x2265;2000&#xa0;h/year</td>
<td align="left">(<xref ref-type="bibr" rid="B19">BRE Global Ltd, 2014</xref>)</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">300 &#x3c; <italic>Em</italic> &#x3c; 3,000 lux on &#x2265; 90% of floor area (clear-sky equinox, 9:00/15:00)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">[U.S. Green building council, 2017]</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">500 lux (detailed work, e.g., crafts rooms, studio)</td>
<td align="left">(<xref ref-type="bibr" rid="B37">DfEE, 1999</xref>)</td>
</tr>
<tr>
<td rowspan="4" align="center">Uniformity ratio</td>
<td align="left">
<italic>U</italic>
</td>
<td align="left">
<italic>U</italic> &#x3e; 0.6 (task area)<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">[<xref ref-type="bibr" rid="B29">CIBSE, 2011</xref>; <xref ref-type="bibr" rid="B40">EN 12464-1, 2011</xref>]</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">
<italic>U</italic> &#x3e; 0.4 (surroundings)</td>
<td align="left">[<xref ref-type="bibr" rid="B29">CIBSE, 2011</xref>; <xref ref-type="bibr" rid="B40">EN 12464-1, 2011</xref>]</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">
<italic>U</italic> &#x3e; 0.3 (<italic>U</italic> &#x3e; 0.7 for glazed roofs)</td>
<td align="left">(<xref ref-type="bibr" rid="B19">BRE Global Ltd, 2014</xref>)</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">0.8 (general/specialized teaching spaces)</td>
<td align="left">(<xref ref-type="bibr" rid="B37">DfEE, 1999</xref>)</td>
</tr>
<tr>
<td rowspan="3" align="center">Daylight factor</td>
<td align="left">
<italic>DF</italic>
</td>
<td align="left">
<italic>DFavg</italic> &#x3e; 3% and&#xa0;<italic>DFmin/DFmax</italic> &#x3e; 0.16</td>
<td align="left">[UNI EN 17037:2018]</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">
<italic>DFavg</italic> &#x3e; 5% and&#xa0;<italic>DFmin</italic> &#x3e; 2% &#x2a;&#x2a;&#x2a;</td>
<td align="left">(<xref ref-type="bibr" rid="B29">CIBSE, 2011</xref>)</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">
<italic>DF</italic> &#x3e; 2% on &#x2265; 80% of room</td>
<td align="left">(<xref ref-type="bibr" rid="B19">BRE Global Ltd, 2014</xref>)</td>
</tr>
<tr>
<td align="center">Glare index</td>
<td align="left">
<italic>DGP</italic>
</td>
<td align="left">Imperceptible (DGP &#x3c; 0.3), perceptible (0.3-0.35), disturbing (0.35-0.4), and intolerable (&#x3e;0.45)</td>
<td align="left">(<xref ref-type="bibr" rid="B99">Wienold and Christoffersen, 2006</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>The values have to be met both for 09:00 a.m. and 03:00 p.m. on a clear-sky day at the equinox. The condition can be verified either through simulations or measurements; however, in the second case, the highest score is attributed.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>This condition is strictly relevant for artificial lighting. In the case of daylighting, lower values can be accepted.</p>
</fn>
<fn>
<p>&#x2a;&#x2a;&#x2a; In the calculation, it is recommended to leave a 0.5&#xa0;m zone around the classroom perimeter.</p>
</fn>
<fn>
<p>Source: adopted and revised from <xref ref-type="bibr" rid="B31">Costanzo et al. (2017)</xref>.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In Nigeria, several studies have examined daylighting across different building types. A fa&#xe7;ade redesign study on low-income housing in Abuja showed that reorientation reduced visual discomfort by up to 29%, while external shading components provided a further 29% reduction (<xref ref-type="bibr" rid="B1">Abdulkareem et al., 2018</xref>). In Ogbomoso, an assessment of residential typologies using occupants&#x2019; satisfaction ratings revealed that medium-density Brazilian &#x201c;face-me-I-face-you&#x201d; houses delivered better daylight conditions than compound houses in high-density areas and nuclear-family apartments in low-density zones (<xref ref-type="bibr" rid="B11">Atolagbe, 2013</xref>). An investigation of museums in southwest Nigeria identified domes, clerestory windows, atria, light tubes, and anti-solar glazing as effective daylighting and energy-efficiency features, and informed an architectural design model for museum spaces (<xref ref-type="bibr" rid="B3">Adewale et al., 2019</xref>). <xref ref-type="bibr" rid="B2">Adeleke et al. (2025)</xref> similarly reported illuminance levels in private student hostels below the CIBSE-recommended 300&#x2013;500 lux range. These studies improve understanding of daylighting performance in Nigerian buildings but focus primarily on housing, museums, and hostels, with limited attention to design studios.</p>
<p>Internationally, research on daylighting and visual comfort in architectural design studios remains limited. <xref ref-type="bibr" rid="B109">Zoubi et al. (2024)</xref> found that lighting conditions significantly affect student comfort, collaboration, and fatigue. <xref ref-type="bibr" rid="B56">Kharat and Dhamankar (2024)</xref> reported that visual comfort in architecture studios is shaped by orientation, distance from windows, and task type, with glare a key source of discomfort. <xref ref-type="bibr" rid="B43">Fani et al. (2023)</xref> emphasised that higher wall reflectance and collaborative desk configurations improve circadian daylighting. In related classroom work, <xref ref-type="bibr" rid="B81">Prasertseree and Tuaycharoen (2025)</xref> showed that curved light shelves and translucent ceilings enhanced daylighting, although uniformity still fell short of the 0.8 standard.</p>
<p>Previous research on daylighting in educational buildings has largely focused on conventional classrooms, offering limited insight into the distinct spatial, functional, and visual demands of architectural design studios. Existing studio-based studies are relatively few, often context-specific, and typically address isolated aspects of visual comfort (e.g., glare or circadian effects) rather than providing an integrated assessment that simultaneously considers illuminance, glare, and uniformity. Moreover, there is a notable lack of empirical work on design studios in tropical and sub-Saharan African contexts, where chronic energy shortages and high solar exposure make daylighting performance particularly critical.</p>
<p>The aim of this study is to develop and evaluate daylighting strategies for architectural design studios in a tropical context, focusing on building envelope configuration, spatial geometry, orientation, and window-to-wall ratio (WWR) as key determinants of visual comfort and energy-conscious design. The study is novel in three main respects: first, it offers a comprehensive multi-metric assessment of daylight performance (illuminance, glare indices, and uniformity ratios) specifically tailored to the requirements of design studios; second, it applies this framework to a tropical, sub-Saharan setting that is under-represented in the literature; and third, it adopts an integrative methodology that combines post-occupancy evaluation (POE) data with validated simulation results. Unlike studies based solely on simulations or solely on subjective assessments, this mixed-methods approach anchors performance evaluation in both quantitative lighting metrics and qualitative user feedback, generating context-specific, evidence-based insights to inform the design and retrofit of creative, task-oriented academic spaces.</p>
<sec id="s1-1">
<label>1.1</label>
<title>Daylighting strategies</title>
<p>Daylight, combining direct and indirect sunlight, is integrated into architectural design to reduce energy use and enhance visual quality (<xref ref-type="bibr" rid="B33">Dahlan and Eissa, 2015</xref>). Daylighting strategies prioritize indirect natural light, with building shape, orientation, and openings governing daylight distribution, while devices such as light shelves, screens, and light tubes optimize its use (<xref ref-type="bibr" rid="B75">OAS, 2013</xref>). Numerous studies emphasize achieving adequate illuminance and uniform light distribution for visual comfort (<xref ref-type="bibr" rid="B29">CIBSE, 2011</xref>; <xref ref-type="bibr" rid="B31">Costanzo et al., 2017</xref>) in educational buildings, including classrooms (<xref ref-type="bibr" rid="B5">Al junaibi et al., 2018</xref>; <xref ref-type="bibr" rid="B8">Alkhatatbeh et al., 2023</xref>; <xref ref-type="bibr" rid="B6">AL-Mowallad et al., 2024</xref>; <xref ref-type="bibr" rid="B13">Bakmohammadi and Noorzai, 2020</xref>; <xref ref-type="bibr" rid="B47">Guan and Yan, 2016</xref>) and architectural design studios (<xref ref-type="bibr" rid="B9">Anas Bin Othman et al., 2017</xref>; <xref ref-type="bibr" rid="B17">Boubekri et al., 2014</xref>; <xref ref-type="bibr" rid="B36">Demirbilek et al., 2009</xref>; <xref ref-type="bibr" rid="B42">Fak&#x131;baba Dedeo&#x11f;lu and Yal&#xe7;&#x131;n, 2025</xref>; <xref ref-type="bibr" rid="B87">Samir et al., 2019</xref>), where sufficient and well-distributed lighting is essential.</p>
<p>Artificial lighting is expected to complement natural daylight using energy-efficient fixtures (<xref ref-type="bibr" rid="B75">OAS, 2013</xref>). While lighting significantly affects occupant wellbeing (<xref ref-type="bibr" rid="B50">Hou, 2018</xref>), artificial lighting alone can account for about 40% of total building energy use and up to 35% of office electricity consumption (<xref ref-type="bibr" rid="B28">Chirarattananon et al., 2002</xref>; <xref ref-type="bibr" rid="B61">Krarti et al., 2005</xref>; <xref ref-type="bibr" rid="B66">Mardaljevic, 2012</xref>). Passive solar strategies such as daylighting and passive space heating, therefore, offer more sustainable options (<xref ref-type="bibr" rid="B102">Wong, 2017</xref>). Moreover, the potential of Building Automation and Control Systems (BACS) is significant, particularly for regulating lighting power in response to daylight availability and thereby reducing electricity use. <xref ref-type="bibr" rid="B44">Fantozzi et al. (2019)</xref> note that BACS, implemented through affordable, user-friendly sensors and actuators, have become an essential feature of modern energy-efficient buildings, enabling automatic adjustment of lighting to daylight variations over the year while maintaining satisfactory indoor comfort and lowering energy consumption. Recommended lighting design typically provides 250&#x2013;500 lumen/m<sup>2</sup> at workstations, with lower levels in computer areas, and incorporates dimmers, motion sensors, and daylight sensors to enhance energy efficiency (<xref ref-type="bibr" rid="B75">OAS, 2013</xref>).</p>
<p>Building geometry and orientation strongly influence lighting and energy performance. <xref ref-type="bibr" rid="B80">Pathirana et al. (2019)</xref> found that square buildings consume more lighting energy than L-shaped configurations, while elongated forms, atriums, and courtyards support deeper daylight penetration (<xref ref-type="bibr" rid="B7">Alfitri et al., 2015</xref>). <xref ref-type="bibr" rid="B23">Catalina et al. (2011)</xref> reported average illuminance of 366 lux in rectangular buildings versus 244 lux in square ones, a 30% reduction, and <xref ref-type="bibr" rid="B107">Zhang et al. (2017)</xref> showed that south-facing rectangular forms maximize energy efficiency. Orientation also affects solar gains; in tropical climates, East-West orientation can reduce heat gain and cooling loads (<xref ref-type="bibr" rid="B63">Lawal, 2008</xref>), while appropriate building spacing improves daylight access and natural ventilation (<xref ref-type="bibr" rid="B75">OAS, 2013</xref>). Managing solar radiation through fa&#xe7;ade screens, second-skin systems, vegetation, and fa&#xe7;ade-specific louvre configurations helps balance heat gain and daylight. Transition spaces such as atriums, corridors, stairways, and terraces act as thermal buffers, and the opaque-to-transparent surface ratio must be tuned to admit daylight while limiting heat gain (<xref ref-type="bibr" rid="B75">OAS, 2013</xref>). In tropical settings, <xref ref-type="bibr" rid="B65">Mangkuto et al. (2016)</xref> identified optimal daylighting with a 30% window-to-wall ratio (WWR), wall reflectance of 0.8, and south-facing orientation. <xref ref-type="bibr" rid="B80">Pathirana et al. (2019)</xref> further showed that WWR changes result in relatively modest variations (1.5%&#x2013;9.5%) in lighting energy demand, indicating that building shape and orientation play a more dominant role in daylighting performance.</p>
</sec>
<sec id="s1-2">
<label>1.2</label>
<title>Daylight and seasonal variations</title>
<p>Seasonal solar variation strongly affects daylight design, particularly in Nigeria, which has two main seasons: wet (April-October) and dry (November-March). These seasonal shifts are driven by Earth&#x2019;s axial tilt, which causes the solstices and equinoxes (<xref ref-type="bibr" rid="B38">Eldridge, 2021</xref>). Solstices in June (20-21) and December (21-22) mark the Sun&#x2019;s greatest angular distance from the Equator, while the March (21) and September (23) equinoxes represent nearly equal day and night (<xref ref-type="bibr" rid="B38">Eldridge, 2021</xref>). Most window optimization studies focus on higher latitudes (beyond 23.5&#xb0;N and 23.5&#xb0;S), where the Sun remains predominantly in the southern sky (<xref ref-type="bibr" rid="B46">Goia et al., 2013</xref>; <xref ref-type="bibr" rid="B53">Inanici and Demirbilek, 2000</xref>; <xref ref-type="bibr" rid="B76">Ochoa et al., 2012</xref>). In contrast, tropical regions (10&#xb0;N-10&#xb0;S) experience the Sun shifting between the northern and southern sky, producing longer annual daylight availability and distinct wet and dry seasons (<xref ref-type="bibr" rid="B65">Mangkuto et al., 2016</xref>). These conditions require daylighting strategies different from those used in higher latitudes.</p>
<p>The wet and dry seasons broadly reflect prevailing sky conditions: clearer skies and higher daylight intensity in the dry season, and increased cloud cover, lower illuminance, and more diffuse daylight in the wet season. This study is set in Maiduguri, Nigeria (latitude 11.8&#xb0;N, longitude 13.1&#xb0;E), within the Sudano-Sahelian tropical climate zone, where these seasonal and solar characteristics directly influence daylighting performance.</p>
</sec>
<sec id="s1-3">
<label>1.3</label>
<title>Visual comfort in buildings</title>
<p>Visual comfort is essential for health and productivity (<xref ref-type="bibr" rid="B18">Boyce, 2010</xref>). Proper lighting enhances morale and productivity (<xref ref-type="bibr" rid="B34">David et al., 2011</xref>; <xref ref-type="bibr" rid="B12">Baeza Moyano et al., 2020</xref>), ensuring balanced illumination, distribution, and glare control (<xref ref-type="bibr" rid="B34">David et al., 2011</xref>). Natural and artificial lighting impact performance and creativity (<xref ref-type="bibr" rid="B106">Yunitsyna and Toska, 2023</xref>). Daylighting improves cognitive function, reduces drowsiness, and boosts vitality (<xref ref-type="bibr" rid="B68">Michael and Heracleous, 2017</xref>; <xref ref-type="bibr" rid="B71">M&#xfc;nch et al., 2012</xref>; <xref ref-type="bibr" rid="B90">Shishegar and Boubekri, 2016</xref>) while enhancing alertness and reducing fatigue (<xref ref-type="bibr" rid="B97">Vandewalle et al., 2006</xref>; <xref ref-type="bibr" rid="B68">Michael and Heracleous, 2017</xref>). Lighting strategies in schools affect reading and concentration (<xref ref-type="bibr" rid="B14">Barkmann et al., 2012</xref>). While <xref ref-type="bibr" rid="B67">McCoy and Evans (2002)</xref> found no link to creativity, <xref ref-type="bibr" rid="B16">Blomberg and Kallio (2022)</xref> argue that illumination affects creativity. Bright lighting stimulates thought, while excess light causes glare (<xref ref-type="bibr" rid="B25">Ceylan et al., 2008</xref>; <xref ref-type="bibr" rid="B101">Winterbottom and Wilkins, 2009</xref>). LED lighting with dimming zones enhances visual comfort (<xref ref-type="bibr" rid="B91">Soleimanipirmorad et al., 2018</xref>). Window seating with pleasant views is preferred, and high-contrast environments improve productivity (<xref ref-type="bibr" rid="B57">Kilic and Hasirci, 2011</xref>; <xref ref-type="bibr" rid="B103">Xue et al., 2022</xref>; <xref ref-type="bibr" rid="B83">Rahman, 2018</xref>). Dark lighting fosters creativity in performing arts, while visual arts require precise lighting (<xref ref-type="bibr" rid="B93">Steidle and Werth, 2013</xref>). Reducing artificial lighting supports sustainability (<xref ref-type="bibr" rid="B68">Michael and Heracleous, 2017</xref>).</p>
<p>Visual comfort is critical in learning environments (<xref ref-type="bibr" rid="B68">Michael and Heracleous, 2017</xref>). EN 12665:2011 defines it as subjective wellbeing based on lighting conditions (<xref ref-type="bibr" rid="B41">EN 12665, 2022</xref>). Proper lighting improves task performance and productivity (<xref ref-type="bibr" rid="B60">Kr&#xe1;likov&#xe1;, 2015</xref>). <xref ref-type="bibr" rid="B27">Chen et al. (2022)</xref> found illumination above 500 lux with warm CCT boosts productivity, with 590 lux optimal. <xref ref-type="bibr" rid="B30">CIBSE (2014)</xref> and <xref ref-type="bibr" rid="B52">IESNA (2000)</xref> recommend 300 lux for classrooms (<xref ref-type="bibr" rid="B68">Michael and Heracleous, 2017</xref>). United Kingdom Environmental Design Guidelines (<xref ref-type="bibr" rid="B32">Crown, 2003</xref>) and European Standard (<xref ref-type="bibr" rid="B39">EN 12464-1, 2021</xref>) specify 300 lux for classrooms, 500 lux for workshops and auditoriums, and 750 lux for art rooms. <xref ref-type="bibr" rid="B72">Nabil and Mardaljevic (2005)</xref> suggest 500&#x2013;2000 lux for paperwork and computer tasks. For glare control, classrooms should maintain DGP &#x3c; 0.3 for technical drawing. Standard classrooms should maintain 0.6 uniformity (Uo) and a Color Rendering Index (Ra) of 80, while visual art rooms require Ra &#x3e;90 for color rendering (<xref ref-type="bibr" rid="B52">IESNA, 2000</xref>).</p>
</sec>
</sec>
<sec id="s2">
<label>2</label>
<title>Research methodology</title>
<p>This study adopts a case study approach to analyze an existing design studio building and generate insights for the proposed School of Environmental Studies. The case study method is well-suited to answering &#x201c;how&#x201d; and &#x201c;why&#x201d; questions (<xref ref-type="bibr" rid="B105">Yin, 2009</xref>) and to explaining the specific characteristics of individual cases (<xref ref-type="bibr" rid="B21">Bryman, 2008</xref>). It is selected here based on the nature of the research questions, the lack of control over real-world events, and the focus on contemporary rather than historical conditions (<xref ref-type="bibr" rid="B105">Yin, 2009</xref>). The research examines daylighting in two architectural design studios, evaluating current facilities to inform the design of similar future spaces. The collected data were implemented in DIALux Evo simulations to assess daylight performance. <xref ref-type="fig" rid="F1">Figure 1</xref> summarizes the research methodology.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Research methodology developed.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing a research design approach. &#x22;Case study&#x22; branches into &#x22;Data Collection&#x22; and &#x22;Data Analysis.&#x22; Data Collection uses methods like Questionnaire Survey, Physical Observation, Full-Scale Measurement, DiaLux Simulation, yielding outcomes such as user satisfaction and quantitative data on illumination. Data Analysis employs Quantitative and Qualitative methods, resulting in statistical trends and thematic insights.</alt-text>
</graphic>
</fig>
<p>The methodology followed a sequential, mixed-methods approach. First, a questionnaire survey captured users&#x2019; perceptions of daylight quality and visual comfort. Second, physical observations documented studio layout, window characteristics, shading devices, and use of artificial lighting. Third, full-scale illuminance measurements were taken at selected points and times to provide reference data for model validation. Fourth, DIALux evo 9.2 simulations were developed and calibrated against the measurements to test alternative daylighting configurations and orientations. The resulting data were then examined using quantitative analysis (survey statistics and measured/simulated illuminance) and qualitative analysis (interpretation of observations and user feedback) to provide an integrated assessment of daylight performance. The physical observation using walkthrough evaluations records real-time conditions without interviews, preventing bias from past behavior or future intentions (<xref ref-type="bibr" rid="B59">Kothari, 2004</xref>), and was essential for documenting openings and envelope characteristics. Daylight measurements were conducted with a BENETECH Digital Lux Meter (Model GM1010), equipped with a silicon diode sensor measuring 0-200,000 lux with &#xb1;3%&#x2013;4% accuracy and rapid (2&#xa0;Hz) updates, making it suitable for professional lighting evaluation.</p>
<p>This study employed DIALux evo 9.2, the version available throughout the study period, to simulate daylight levels and lighting strategies in architectural design studios, analyzing natural and artificial lighting performance, energy consumption, and potential daylighting energy savings. Simulations were configured with site-specific inputs (latitude, longitude, elevation, time zone, and true north). DIALux evo calculates daylight using CIE reference sky models (Overcast, Intermediate/Average, Clear) parameterized by location, date, and time (CIE 110-1994; <xref ref-type="bibr" rid="B35">De Rosa et al., 2010</xref>). To align with onsite measurements, the CIE sky type, date, and time were selected to match observed sky conditions and measurement timestamps so that solar position corresponded to field conditions. Seasonal representativeness was addressed by simulating four design days: summer solstice (21 June), winter solstice (22 December), and the vernal (21 March) and autumnal (23 September) equinoxes. In this study, measurements were conducted with the studio doors open under overcast conditions for Experiment 1 and clear-sky conditions for Experiments 2 and 3. The sky condition at each measurement interval was visually assessed using the OKTA scale (0-8), following standard meteorological practice (<xref ref-type="bibr" rid="B79">Pag&#xe8;s et al., 2003</xref>).</p>
<p>Overcast sky conditions are derived from luminance distribution models that compute zenith luminance and use radiosity-based calculations for indoor illuminance, validated with a 1:5 scale model under overcast skies in Osaka (<xref ref-type="bibr" rid="B35">De Rosa et al., 2010</xref>). Clear sky conditions are modelled using the CIE Clear Sky Model (CIE S 011/E:2003), which simulates sky luminance with a brightness gradient near the sun and includes both direct and diffuse components, requiring accurate geographic settings. In all measurement points A-J, the reference plane for illuminance analysis was set at 0.9&#xa0;m above finished floor level, corresponding to the drawing board surfaces, as the studios are task-oriented spaces where this work plane is critical for visual comfort.</p>
<p>Questionnaire surveys were administered via Google Forms to collect data on user characteristics and actions, taking advantage of efficient, low-error digital collection (<xref ref-type="bibr" rid="B82">Preston, 2009</xref>; <xref ref-type="bibr" rid="B84">Regmi et al., 2016</xref>). Respondents were current students and recent graduates who actively used the studios; all completed the survey during daytime occupancy to reduce recall bias. Existing daylighting instruments, such as the Center for the Built Environment survey (<xref ref-type="bibr" rid="B24">CBE, 2000</xref>), are comprehensive but general. To capture studio-specific experiences in spaces combining natural and artificial light, a tailored questionnaire was developed, informed by the CBE framework. Items were organized into domains of perceived daylight adequacy, glare discomfort, lighting control, and overall visual comfort, with Likert-scale questions for quantitative analysis and open-ended items for richer feedback. The draft survey underwent pilot testing with students, and their feedback was used to refine clarity and contextual relevance.</p>
<p>Convenience sampling was employed via WhatsApp groups using Google Forms, targeting architecture students who regularly used the design studios. This non-probability strategy, widely adopted in clinical and qualitative research for its efficiency and practicality (<xref ref-type="bibr" rid="B73">Nigel et al., 2007</xref>; <xref ref-type="bibr" rid="B94">Stratton, 2021</xref>), was deemed suitable for capturing occupants&#x2019; perceptions rather than achieving statistical generalization. The questionnaire was administered in English, and participation was entirely voluntary. Data analysis combined qualitative and quantitative techniques to strengthen validity and reliability (<xref ref-type="bibr" rid="B89">Sheikh and Bibi, 2009</xref>). Responses were edited, coded, classified, and tabulated for interpretation (<xref ref-type="bibr" rid="B59">Kothari, 2004</xref>), with the analysis focusing on frequencies, averages, and percentages, complemented by contour plots derived from measurements and simulations (<xref ref-type="bibr" rid="B95">Susan, 2012</xref>). Findings were ultimately presented through tables, charts, and illuminance maps, supported by qualitative interpretation of the simulation outputs.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Result analysis and discussion</title>
<sec id="s3-1">
<label>3.1</label>
<title>Case study design studio characteristics</title>
<p>The case study is located in Maiduguri, at latitude 11&#x2da;51&#x2dd; N and longitude 13&#x2da;05&#x2dd; E, and stands 354&#xa0;m above sea level (<xref ref-type="bibr" rid="B114">Maxlock Group Nigeria, 1976</xref>). The architectural design studio is a standalone twin-studio bungalow, oriented East-West. It features an access road to the east and trees to the southwest, which provide minimal shade from direct sunlight. The southern side has denser tree cover, casting some shade on the southern fa&#xe7;ade (<xref ref-type="fig" rid="F2">Figures 2a,b</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Architectural design studio&#x2013;<bold>(a)</bold> Floor Plan with measurement locations; <bold>(b)</bold> Studio 3D View showing Eastern Fa&#xe7;ade.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g002.tif">
<alt-text content-type="machine-generated">Floor plan and exterior view of a building. The floor plan shows two main studios labeled HND and ND, offices, verandahs, and restrooms. The building&#x27;s exterior features a blue roof, white pillars, and is set against a clear sky.</alt-text>
</graphic>
</fig>
<p>The floor plan (<xref ref-type="fig" rid="F2">Figure 2a</xref>) includes two identical studios, two storage rooms, and rear toilets with all measurement locations. Each studio measures 15.7&#xa0;m &#xd7; 15.0&#xa0;m, with a rear projection of 10.9&#xa0;m &#xd7; 3.6&#xa0;m and a height of 3.8&#xa0;m. A 2.6&#xa0;m-wide verandah on the eastern fa&#xe7;ade serves as a sun-shading device, especially in the morning, and is divided into five sections by rectangular concrete columns. Each studio has five windows (1.800&#xa0;m &#xd7; 1.2&#xa0;m) on the west fa&#xe7;ade, three on the east, and two doors (1.2&#xa0;m &#xd7; 2.1&#xa0;m), optimizing natural ventilation and daylighting. The concrete fins on the east and west sides extend 0.25&#xa0;m from the wall surface (<xref ref-type="fig" rid="F2">Figures 2a,b</xref>). The walls are light green, the doors are white, the floor tiles are light brown ceramic, and the ceiling is white rubber. Each studio is equipped with 18 ceiling fans, 22 bulbs, and four fluorescent lights. Detailed specifications are presented in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Characteristics of the design studio building and indoor surfaces.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Category</th>
<th align="center">Element</th>
<th align="center">Description</th>
<th align="center">Surface reflectance; transmission; refractive index</th>
<th align="center">Material type</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Location</td>
<td align="left">Coordinates</td>
<td align="left">Maiduguri, Nigeria (13.15&#xb0;N, 11.83&#xb0;E)</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td rowspan="3" align="left">Structure</td>
<td align="left">Storeys</td>
<td align="left">Single-storey bungalow</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Building area</td>
<td align="left">680.76&#xa0;m<sup>2</sup>
</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Structure</td>
<td align="left">Reinforced concrete</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td rowspan="3" align="left">Studio layout</td>
<td align="left">Floor area</td>
<td align="left">274.74&#xa0;m<sup>2</sup>
</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Dimensions</td>
<td align="left">15.0&#xa0;m (L) &#xd7; 15.7&#xa0;m (W) &#x2b; 3.6&#xa0;m extension</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Floor-to-ceiling height</td>
<td align="left">3.8&#xa0;m</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td rowspan="3" align="left">Openings</td>
<td align="left">Windows (Qty/Size)</td>
<td align="left">8 per studio (1.8&#xa0;m &#xd7; 1.2&#xa0;m; 5 west, 3 east)</td>
<td align="left">10%; 90%; 1.5</td>
<td align="left">Glass (transparent single clear glazing)</td>
</tr>
<tr>
<td align="left">Doors (Qty/Size)</td>
<td align="left">2 per studio (1.2&#xa0;m &#xd7; 2.1&#xa0;m)</td>
<td align="left">10%; 90%; 1.5</td>
<td align="left">Glass (transparent single clear glazing)</td>
</tr>
<tr>
<td align="left">Window-to-wall ratio</td>
<td align="left">10%</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td rowspan="4" align="left">Surfaces characteristics</td>
<td align="left">Walls</td>
<td align="left">Hollow concrete block walls</td>
<td align="left">60%</td>
<td align="left">Paint</td>
</tr>
<tr>
<td align="left">Floor</td>
<td align="left">Light brown ceramic tiles</td>
<td align="left">50%</td>
<td align="left">Ceramic tiles</td>
</tr>
<tr>
<td align="left">Ceiling</td>
<td align="left">White rubber board</td>
<td align="left">90%</td>
<td align="left">Rubber board</td>
</tr>
<tr>
<td align="left">Drawing boards</td>
<td align="left">Formica (H &#x3d; 0.9&#xa0;m, L &#x3d; 1.06&#xa0;m, W &#x3d; 0.8&#xa0;m)</td>
<td align="left">50%</td>
<td align="left">Formica</td>
</tr>
<tr>
<td rowspan="2" align="left">Systems</td>
<td align="left">Lighting</td>
<td align="left">22 Halogen bulbs &#x2b;4 fluorescents per studio</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Ceiling fans</td>
<td align="left">18 per studio</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td rowspan="2" align="left">Aesthetics</td>
<td align="left">Wall color</td>
<td align="left">Light green</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Ceiling color</td>
<td align="left">White</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Visual comfort survey in studio spaces</title>
<sec id="s3-2-1">
<label>3.2.1</label>
<title>Respondents characteristics</title>
<p>The survey results from 112 studio users were first examined in terms of respondent characteristics to support the validity of the findings (<xref ref-type="table" rid="T3">Table 3</xref>). The age distribution showed that 7% were under 20, 76% were from 20-30, 13% were from 31-40, and 4% were above 40, consistent with typical National Diploma (ND) and Higher National Diploma (HND) student profiles. Gender analysis indicated that 93.8% of respondents were male and 6.2% female, reflecting the persistently low female enrolment in technical programs in Northern Nigeria. All respondents (100%) had either studied or were currently studying at the Polytechnic, with 67% being graduates and 33% current students, and all (100%) reported using the Architectural Design Studio, confirming their suitability to evaluate lighting conditions.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of survey respondents&#x2019; characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Parameters</th>
<th colspan="5" align="center">Descriptions</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">Age</td>
<td align="center">&#x3c;20 Years</td>
<td align="center">20&#x2013;30 Years</td>
<td align="center">31&#x2013;40 Years</td>
<td align="center">&#x3e;40 Years</td>
<td align="center">-</td>
</tr>
<tr>
<td align="center">7%</td>
<td align="center">76%</td>
<td align="center">13%</td>
<td align="center">4%</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td rowspan="2" align="left">Gender</td>
<td align="center">Male</td>
<td align="center">Female</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="center">93.8%</td>
<td align="center">6.2%</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td rowspan="2" align="left">Respondents Status</td>
<td align="center">Current</td>
<td align="center">Graduated</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="center">33%</td>
<td align="center">67%</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td rowspan="2" align="left">Time spent in the studio daily</td>
<td align="center">0&#x2013;1 hours</td>
<td align="center">2&#x2013;3 hours</td>
<td align="center">4&#x2013;5 hours</td>
<td align="center">&#x3e;5 hours</td>
<td align="center">-</td>
</tr>
<tr>
<td align="center">0%</td>
<td align="center">15.2%</td>
<td align="center">30.4%</td>
<td align="center">54.5%</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td rowspan="2" align="left">Activities performed in the studio</td>
<td align="center">Drawing/Drafting</td>
<td align="center">Reading</td>
<td align="center">Discussion</td>
<td align="center">Lecture</td>
<td align="center">Others</td>
</tr>
<tr>
<td align="left">92.9%</td>
<td align="center">36.6%</td>
<td align="center">32.1%</td>
<td align="center">48.2%</td>
<td align="center">6.3%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In terms of studio use, 54.5% of respondents spent more than 5&#xa0;h per day in the studio, 30.4% spent 4&#x2013;5&#xa0;h, and 15.2% spent 2&#x2013;3&#xa0;h, indicating substantial exposure to the space and its visual environment. Reported activities included drawing/drafting (92.9%), reading (36.6%), discussions (32.1%), lectures (48.2%), and modelling/jury sessions (1%&#x2013;2%), underscoring the range of visually demanding tasks undertaken in the studios.</p>
</sec>
<sec id="s3-2-2">
<label>3.2.2</label>
<title>Analysis of perceived visual comfort in studios</title>
<p>A post-occupancy survey of 112 architectural design studio users evaluated nine visual performance variables on a five-point Likert scale (1 &#x3d; Strongly Disagree to 5 &#x3d; Strongly Agree), with mean scores classified as &#x3c;1.25 (Strongly Disagree), 1.25-2.25 (Disagree), 2.25-3.25 (Neutral), 3.25-4.25 (Agree), and &#x3e;4.25 (Strongly Agree) (<xref ref-type="table" rid="T4">Table 4</xref>). The responses reveal pronounced inconsistency in the daylighting conditions. When asked whether the lighting was uncomfortably bright, 25.9% strongly agreed, and 46.4% agreed, evidence of glare problems associated with the large 1800&#xa0;mm &#xd7; 1,200&#xa0;mm windows used to serve the deep studio plan. At the same time, 25.9% strongly agreed, and 47.3% agreed that the lighting was uncomfortably dim, indicating underlit zones further from the fa&#xe7;ade. This contrast is reinforced by the finding that 28.6% strongly agreed and 44.6% agreed that daylight was unevenly distributed, and 18.8% strongly agreed and 39.3% agreed that they needed lanterns or spotlights even at noon.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Psychosocial survey results.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">No</th>
<th rowspan="2" align="center">Variables</th>
<th colspan="5" align="center">Frequency (N &#x3d; 112)</th>
<th rowspan="2" align="center">Mean</th>
<th rowspan="2" align="center">Remark</th>
</tr>
<tr>
<th align="center">SA</th>
<th align="center">A</th>
<th align="center">N</th>
<th align="center">D</th>
<th align="center">SD</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="left">The lighting is uncomfortably bright for the task I perform in the studio</td>
<td align="center">29</td>
<td align="center">52</td>
<td align="center">17</td>
<td align="center">11</td>
<td align="center">3</td>
<td align="center">3.8</td>
<td align="center">A</td>
</tr>
<tr>
<td align="center">2</td>
<td align="left">The lighting is uncomfortably dim for the task I perform in the studio</td>
<td align="center">29</td>
<td align="center">53</td>
<td align="center">10</td>
<td align="center">17</td>
<td align="center">3</td>
<td align="center">3.8</td>
<td align="center">A</td>
</tr>
<tr>
<td align="center">3</td>
<td align="left">The daylight is poorly distributed in the studio</td>
<td align="center">32</td>
<td align="center">50</td>
<td align="center">9</td>
<td align="center">20</td>
<td align="center">1</td>
<td align="center">3.8</td>
<td align="center">A</td>
</tr>
<tr>
<td align="center">4</td>
<td align="left">I Use Lantern/Spotlight to augment/improve the daylight even when it is noon time</td>
<td align="center">21</td>
<td align="center">44</td>
<td align="center">15</td>
<td align="center">24</td>
<td align="center">8</td>
<td align="center">3.4</td>
<td align="center">A</td>
</tr>
<tr>
<td align="center">5</td>
<td align="left">The daylight is adequate near the windows in the studio</td>
<td align="center">47</td>
<td align="center">53</td>
<td align="center">9</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">4.3</td>
<td align="center">SA</td>
</tr>
<tr>
<td align="center">6</td>
<td align="left">The daylight is poor at the center of the studio and areas far away from the windows</td>
<td align="center">40</td>
<td align="center">41</td>
<td align="center">16</td>
<td align="center">13</td>
<td align="center">2</td>
<td align="center">3.9</td>
<td align="center">A</td>
</tr>
<tr>
<td align="center">7</td>
<td align="left">I Used to always &#x2018;ON&#x2019; artificial light even when all the windows are opened in the studio</td>
<td align="center">17</td>
<td align="center">50</td>
<td align="center">14</td>
<td align="center">24</td>
<td align="center">7</td>
<td align="center">3.4</td>
<td align="center">A</td>
</tr>
<tr>
<td align="center">8</td>
<td align="left">The daylight is poor all over the studio</td>
<td align="center">20</td>
<td align="center">40</td>
<td align="center">12</td>
<td align="center">31</td>
<td align="center">9</td>
<td align="center">3.3</td>
<td align="center">A</td>
</tr>
<tr>
<td align="center">9</td>
<td align="left">Overall, I am satisfied with the lighting level in the studio</td>
<td align="center">18</td>
<td align="center">35</td>
<td align="center">24</td>
<td align="center">29</td>
<td align="center">6</td>
<td align="center">3.3</td>
<td align="center">A</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Perceptions of adequacy clearly varied with location in the room. Near the windows, 42.0% strongly agreed, and 47.3% agreed that daylight was sufficient, whereas at the center of the studio, 35.7% strongly agreed and 36.6% agreed that daylight was inadequate. The non-uniformity of daylight was further confirmed by reported daytime use of artificial lighting (15.2% strongly agreed, 44.6% agreed). Overall, 17.9% strongly agreed, and 35.7% agreed that daylight provision in the studios was inadequate. Satisfaction ratings reflect these issues: only 16.1% were very satisfied and 31.3% satisfied, while 21.4% were neutral, 25.9% dissatisfied, and 5.3% strongly dissatisfied, meaning over half of the respondents (53%) expressed dissatisfaction. Taken together, these results show that visual comfort in the existing studios is highly dependent on seating position relative to the windows, with excessive brightness and glare near the fa&#xe7;ade and insufficient illuminance toward the interior, highlighting the need for a more balanced daylighting strategy.</p>
</sec>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Full-scale measurement of studio lighting levels</title>
<p>Visual comfort is essential in design studios where visually intensive tasks require optimal lighting. This study analyzes a design studio by measuring lighting levels using digital lux meters at various locations, investigating lighting insufficiency identified in the questionnaire survey. The measurement points (<xref ref-type="fig" rid="F2">Figure 2a</xref>), labeled A to K, were placed: A, B, and C near western openings, D, E, F, and G at the studio center, and H, I, J, and K near eastern openings, analyzing lighting variation based on window placement.</p>
<p>The HND II studio contains 36 drawing boards, and the ND II has 50, with a session capacity of 48. Measurements were taken with studio doors open under overcast conditions for experiment 1, and clear skies for experiments 2 and 3. The selection of measurement points under overcast conditions (11 drawing boards) and clear sky conditions (22 drawing boards) was based on spatial significance. Positions A, B, and C were near western openings without verandas, D, E, F, and G were central to assess daylight penetration, while H, I, J, and K were near eastern openings with verandas. Similar measuring positions were used in previous studies (<xref ref-type="bibr" rid="B85">Reinhart and Walkenhorst, 2001</xref>; <xref ref-type="bibr" rid="B6">AL-Mowallad et al., 2024</xref>; <xref ref-type="bibr" rid="B87">Samir et al., 2019</xref>) to study daylight in offices, classrooms, and studios. Readings were conducted on 21 February 2021&#xa0;at 4:15 p.m., 22 February 2021&#xa0;at 10:09 a.m., and 12:00 p.m. <xref ref-type="table" rid="T5">Table 5</xref> presents the measured lighting levels from the experiments alongside the simulation results used for validation. The experimental values were consistently below the recommended standards of 300 lux for classrooms and 500 lux for design studios, highlighting conditions likely to cause visual discomfort. These results are further supported by the psychosocial survey, in which users reported dissatisfaction with the existing lighting environment.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Lighting level percentage difference between measurements and simulations.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Measurement position</th>
<th colspan="3" align="center">Experiment 1: Illuminance (lux)</th>
<th colspan="3" align="center">Experiment 2: Illuminance (lux)</th>
<th colspan="3" align="center">Experiment 3: Illuminance (lux)</th>
</tr>
<tr>
<th align="center">Measurement</th>
<th align="center">Simulation</th>
<th align="center">% difference</th>
<th align="center">Measurement</th>
<th align="center">Simulation</th>
<th align="center">% difference</th>
<th align="center">Measurement</th>
<th align="center">Simulation</th>
<th align="center">% difference</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">A</td>
<td align="center">89</td>
<td align="center">91</td>
<td align="center">&#x2212;2.2</td>
<td align="center">143.86</td>
<td align="center">189</td>
<td align="right">&#x2212;23.9</td>
<td align="center">180.33</td>
<td align="center">204</td>
<td align="center">&#x2212;11.6</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">107</td>
<td align="center">123</td>
<td align="center">&#x2212;13.0</td>
<td align="center">201.96</td>
<td align="center">255</td>
<td align="right">&#x2212;20.8</td>
<td align="center">271.8</td>
<td align="center">280</td>
<td align="center">&#x2212;2.9</td>
</tr>
<tr>
<td align="center">C</td>
<td align="center">114.29</td>
<td align="center">126</td>
<td align="center">&#x2212;9.3</td>
<td align="center">221.4</td>
<td align="center">275</td>
<td align="right">&#x2212;19.5</td>
<td align="center">249.6</td>
<td align="center">322</td>
<td align="center">&#x2212;22.5</td>
</tr>
<tr>
<td align="center">D</td>
<td align="center">31.64</td>
<td align="center">39</td>
<td align="center">&#x2212;18.9</td>
<td align="center">104.5</td>
<td align="center">112</td>
<td align="right">&#x2212;6.7</td>
<td align="center">89</td>
<td align="center">98</td>
<td align="center">&#x2212;9.2</td>
</tr>
<tr>
<td align="center">E</td>
<td align="center">33.25</td>
<td align="center">41</td>
<td align="center">&#x2212;18.9</td>
<td align="center">92.33</td>
<td align="center">113</td>
<td align="right">&#x2212;18.3</td>
<td align="center">123.17</td>
<td align="center">107</td>
<td align="center">15.1</td>
</tr>
<tr>
<td align="center">F</td>
<td align="center">31.36</td>
<td align="center">39</td>
<td align="center">&#x2212;19.6</td>
<td align="center">110.63</td>
<td align="center">108</td>
<td align="right">2.4</td>
<td align="center">121.4</td>
<td align="center">103</td>
<td align="center">17.9</td>
</tr>
<tr>
<td align="center">G</td>
<td align="center">29</td>
<td align="center">24</td>
<td align="center">20.0</td>
<td align="center">60.14</td>
<td align="center">75</td>
<td align="right">&#x2212;19.8</td>
<td align="center">65</td>
<td align="center">68</td>
<td align="center">&#x2212;4.4</td>
</tr>
<tr>
<td align="center">H</td>
<td align="center">51.17</td>
<td align="center">60</td>
<td align="center">&#x2212;14.7</td>
<td align="center">228</td>
<td align="center">209</td>
<td align="right">9.1</td>
<td align="center">132.6</td>
<td align="center">160</td>
<td align="center">&#x2212;17.1</td>
</tr>
<tr>
<td align="center">I</td>
<td align="center">39.69</td>
<td align="center">48</td>
<td align="center">&#x2212;17.3</td>
<td align="center">144.38</td>
<td align="center">163</td>
<td align="right">&#x2212;11.4</td>
<td align="center">110</td>
<td align="center">126</td>
<td align="center">&#x2212;12.7</td>
</tr>
<tr>
<td align="center">J</td>
<td align="center">48.93</td>
<td align="center">55</td>
<td align="center">&#x2212;11.0</td>
<td align="center">194.75</td>
<td align="center">186</td>
<td align="right">4.7</td>
<td align="center">145.8</td>
<td align="center">146</td>
<td align="center">&#x2212;0.1</td>
</tr>
<tr>
<td align="center">K</td>
<td align="center">22.6</td>
<td align="center">21</td>
<td align="center">7.6</td>
<td align="center">81.67</td>
<td align="center">79</td>
<td align="right">3.4</td>
<td align="center">54</td>
<td align="center">60</td>
<td align="center">&#x2212;10.0</td>
</tr>
<tr>
<td align="center">Average</td>
<td align="center">54.36</td>
<td align="center">96.4</td>
<td align="center">-</td>
<td align="center">143.97</td>
<td align="center">199.0</td>
<td align="center">-</td>
<td align="center">140.25</td>
<td align="center">206</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>Validation and alternative strategies for daylighting simulation</title>
<sec id="s3-4-1">
<label>3.4.1</label>
<title>Base case simulation and validations</title>
<p>The simulation began with the base case model, replicating existing studio parameters to validate lighting measurements. Comparing simulation results with measured data strengthens validity and reliability. The sky conditions applied in the simulations were chosen to match the actual conditions observed during the field experiments, with clear skies recorded in the morning and midday, and overcast skies in the afternoon. <xref ref-type="fig" rid="F3">Figures 3a&#x2013;c</xref> illustrate illuminance level simulation contours showing three different experiments. Surface reflectance impacts lighting levels significantly, and this simulation used standard reflectance levels recommended by <xref ref-type="bibr" rid="B112">IESNA (2011)</xref>, incorporating glazing characteristics such as reflectance, transmission, refractive index, and material type (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Simulation Contours: <bold>(a)</bold> Experiment 1 (21/02/2021&#x40;4:15PM); <bold>(b)</bold> Experiment 2 (22/02/2021&#x40;10:09AM); <bold>(c)</bold> Experiment 2 (21/02/2021&#x40;12:00PM).</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g003.tif">
<alt-text content-type="machine-generated">Three contour maps labeled a, b, and c show varying data distributions. Map a has high concentrations of blue and green with some yellow. Map b predominantly features green with spots of yellow. Map c has a mix of green and blue with some purple at the edges. A color scale below ranges from dark blue to red, indicating data intensity levels.</alt-text>
</graphic>
</fig>
<p>When comparing measurements with DiaLux Evo simulations, it&#x27;s essential to account for methodological errors. <xref ref-type="bibr" rid="B104">Yang (2004)</xref> estimates measurement errors between 10% and 15%, while <xref ref-type="bibr" rid="B100">Willemsen and Wisse (2002)</xref> report errors as high as 20%. The comparative analysis showed percentage differences remained within the acceptable &#x3c;20% margin, with exceptions at point G (experiment 1), points A and B (experiment 2), and point C (experiment 3), where discrepancies slightly exceeded this threshold. <xref ref-type="table" rid="T5">Table 5</xref> provides a comparative analysis, showing full-scale measurements, DiaLux Evo simulations, and percentage differences. <xref ref-type="fig" rid="F4">Figures 4a&#x2013;c</xref> show line graphs comparing experimental measurement points with simulation results. The graphs indicate that DiaLux Evo generally overpredicted illuminance levels by approximately 2&#x2013;20%, although in certain cases the measured values exceeded the simulated results. These validation exercises confirm DiaLux Evo&#x2019;s accuracy in predicting daylighting performance within the architectural design studio. <xref ref-type="fig" rid="F5">Figures 5a&#x2013;d</xref> present the 3D views indicating interior views within the DiaLux Simulation Environment, showing: a) The studio within the DiaLux Simulation Environment; b) Measurement Plane in HND II; c) Measurement Plane within DiaLux Environment; and d) Measurement Plane in ND II.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Lighting level percentage difference between measurements and simulations &#x2013; <bold>(a)</bold> Experiment 1; <bold>(b)</bold> Experiment 2, and <bold>(c)</bold> Experiment 3.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g004.tif">
<alt-text content-type="machine-generated">Three line graphs labeled a, b, and c compare lighting levels in lux across measurement positions A to K. Each graph shows two lines: one for actual measurements and one for simulations. Graph a shows a decrease from position A, stabilizing at lower levels. Graph b displays varied peaks and troughs, with simulations consistently higher. Graph c presents both lines peaking at A and B, before decreasing and stabilizing, with simulations slightly higher.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>3D Interior views: <bold>(a)</bold> The studio within the DiaLux Simulation Environment; <bold>(b)</bold> Measurement Plane in HND II; <bold>(c)</bold> Measurement Plane within DiaLux Environment; <bold>(d)</bold> Measurement Plane in ND II.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g005.tif">
<alt-text content-type="machine-generated">a) 3D model of a studio&#x27;s interior space in the DiaLux environment, showing a layout of rooms and windows. b) Measurement plane in HND II, highlighted with a color gradient. c) 3D view of a measurement plane within the studio in DiaLux, showcasing room divisions and color-coded data. d) Another measurement plane in ND II, displaying varying colors indicating different measurement levels.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-2">
<label>3.4.2</label>
<title>Opening positions and window-to-wall ratio</title>
<p>Several design alternatives were explored in conjunction with the base case to enhance illuminance levels and visual comfort (<xref ref-type="table" rid="T6">Table 6</xref>). The base case retained original studio openings, while Alternative one added high-level windows on the west fa&#xe7;ade. Alternative two extended these windows to the west and east fa&#xe7;ades, and Alternative three increased the east fa&#xe7;ade glazing to compensate for daylight loss from the verandah (<xref ref-type="table" rid="T6">Table 6</xref> No. 5). Alternative four incorporated clerestory skylights (0.6 &#xd7; 1.8&#xa0;m), while Alternatives five and six used larger skylights (0.9 &#xd7; 1.8&#xa0;m and 1.2 &#xd7; 1.8&#xa0;m). The window-to-wall ratio (WWR) increased from 10% (base case) to 13.1%, 16.2%, 20.8%, 26.3%, 31.2%, and 36.2% across Alternatives 1&#x2013;6, with the window-to-floor area ratio following a similar trend (<xref ref-type="table" rid="T6">Table 6</xref>). <xref ref-type="fig" rid="F6">Figure 6</xref> shows 3D views of the existing studio with a hipped roof and Alternative 6 with clerestory windows. Alternatives such as clerestory openings were included not as a prescribed or universally cost-effective solution, but rather to evaluate their performance in comparison with other options. Accordingly, a cost&#x2013;benefit analysis is recommended before adopting any specific option.</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Descriptions of the studied alternatives.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">S/N</th>
<th align="center">Alternatives</th>
<th align="center">Descriptions</th>
<th align="center">Diagrams</th>
<th align="center">Window-to-wall ratio</th>
<th align="center">Window-to-floor area ratio</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">Base case</td>
<td align="left">Studio with normal 1.2 &#xd7; 1.8&#xa0;m windows at east and west facades</td>
<td align="center">
<inline-graphic xlink:href="fbuil-11-1741763-fx1.tif">
<alt-text content-type="machine-generated">Illustration of a cross-section of a building with two labeled areas: &#x2018;Studio&#x2019; on the left and &#x2018;Veranda&#x2019; on the right. The roof is triangular, and the structure shows basic wall divisions.</alt-text>
</inline-graphic>
</td>
<td align="center">1/10 (10.0%)</td>
<td align="center">1/16 (6.3%)</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">Alternative 1</td>
<td align="left">Adding high-level windows to the west fa&#xe7;ade</td>
<td align="center">
<inline-graphic xlink:href="fbuil-11-1741763-fx2.tif">
<alt-text content-type="machine-generated">Cross-section diagram of a simple house structure showing two areas: a larger room labeled &#x2018;Studio&#x2019; on the left and a smaller space labeled &#x2018;Veranda&#x2019; on the right, both under a single gabled roof.</alt-text>
</inline-graphic>
</td>
<td align="center">1/8 (13.1%)</td>
<td align="center">1/9 (10.2%)</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">Alternative 2</td>
<td align="left">Adding high-level windows to the west and east fa&#xe7;ades</td>
<td align="center">
<inline-graphic xlink:href="fbuil-11-1741763-fx3.tif">
<alt-text content-type="machine-generated">Cross-section diagram of a building labeled &#x2018;Studio&#x2019; on the left and &#x2018;Veranda&#x2019; on the right, with a gable roof and vertical lines indicating structural elements.</alt-text>
</inline-graphic>
</td>
<td align="center">1/6 (16.2%)</td>
<td align="center">1/12 (8.2%)</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">Alternative 3</td>
<td align="left">Adding glass elements to the east fa&#xe7;ade to make up for the lighting lost to the verandah</td>
<td align="center">
<inline-graphic xlink:href="fbuil-11-1741763-fx4.tif">
<alt-text content-type="machine-generated">Architectural elevation drawing of a building facade featuring a flat roof, vertical lines indicating structural elements, and multiple large rectangular windows distributed evenly.</alt-text>
</inline-graphic>
</td>
<td align="center">1/5 (20.8%)</td>
<td align="center">1/8 (13.2%)</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">Alternative 4</td>
<td align="left">Adding skylight windows (clerestory) size 0.6 &#xd7; 1.8&#xa0;m</td>
<td align="center">
<inline-graphic xlink:href="fbuil-11-1741763-fx5.tif">
<alt-text content-type="machine-generated">Cross-sectional diagram of a building with a clerestory above a central studio space. The studio is flanked by a veranda on the right. The clerestory adds height and likely allows additional light into the studio.</alt-text>
</inline-graphic>
</td>
<td align="center">&#xbc; (26.3%)</td>
<td align="center">1/5 (21.0%)</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">Alternative 5</td>
<td align="left">Adding skylight windows (clerestory) size 0.9 &#xd7; 1.8&#xa0;m</td>
<td align="center">
<inline-graphic xlink:href="fbuil-11-1741763-fx6.tif">
<alt-text content-type="machine-generated">Cross-sectional architectural diagram of a building, showing a clerestory at the top, a studio space below, and a veranda on the right. The roof extends over both the studio and veranda.</alt-text>
</inline-graphic>
</td>
<td align="center">1/3 (31.2%)</td>
<td align="center">&#xbc; (25.0%)</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">Alternative 6</td>
<td align="left">Adding skylight windows (clerestory) size 1.2 &#xd7; 1.8&#xa0;m</td>
<td align="center">
<inline-graphic xlink:href="fbuil-11-1741763-fx7.tif">
<alt-text content-type="machine-generated">Cross-sectional architectural diagram of a building featuring a clerestory at the top, allowing for added light. The main space, labeled &#x2018;Studio,&#x2019; occupies the central portion, flanked by a &#x2018;Veranda&#x2019; to the right.</alt-text>
</inline-graphic>
</td>
<td align="center">1/3 (36.2%)</td>
<td align="center">2/7 (28.9%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>3D view: <bold>(a)</bold> Base case, cases 1,2, and 3 with Hipped roof; <bold>(b)</bold> Cases 4,5, and 6 with Clerestory roof.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g006.tif">
<alt-text content-type="machine-generated">Two architectural model renderings labeled a) and b). Image a) shows a rectangular building with a dual-pitched roof and large windows along the side, featuring an elevated section with additional windows. Image b) depicts a polygonal building with a simpler blue roof and large, evenly spaced windows along its sides. Both buildings have light almond-colored walls and are situated on a flat, brown surface.</alt-text>
</graphic>
</fig>
<p>The study assessed illuminance levels at measuring points (A to K). The base case had the lowest average illuminance at 152.2 lux. Alternative 1, with high-level west fa&#xe7;ade windows, increased illuminance to 251.5 lux, though brightness remained higher near windows and lower at the studio center (points D, E, F, G). Alternative two added high-level windows on both fa&#xe7;ades, raising illuminance to 294.2 lux. Alternative three increased east fa&#xe7;ade glazing, improving illuminance to 318.7 lux, surpassing the 300 lux classroom standard but below the 500 lux studio requirement. Alternative four introduced 0.6 &#xd7; 1.8&#xa0;m clerestory skylights, raising illuminance to 433.4 lux. Alternative five expanded skylights to 0.9 &#xd7; 1.8&#xa0;m, achieving 534.4 lux, though some central points remained below 500 lux (<xref ref-type="table" rid="T7">Table 7</xref>). Alternative 6, with 1.2 &#xd7; 1.8&#xa0;m clerestory skylights, increased illuminance to 652.9 lux, meeting the 500 lux requirement across all points. The illuminance contours for Alternatives A1&#x2013;A6 demonstrate the impacts of various daylighting strategies (<xref ref-type="fig" rid="F8">Figure 8a</xref>).</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Average illuminance levels (Lux) of different simulated alternatives.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Measurement positions</th>
<th colspan="7" align="center">Average illuminance levels (lux) of different alternatives</th>
</tr>
<tr>
<th align="center">Base-case</th>
<th align="center">Alternative 1</th>
<th align="center">Alternative 2</th>
<th align="center">Alternative 3</th>
<th align="center">Alternative 4</th>
<th align="center">Alternative 5</th>
<th align="center">Alternative 6</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">A</td>
<td align="center">204</td>
<td align="center">525</td>
<td align="center">539</td>
<td align="center">551</td>
<td align="center">608</td>
<td align="center">662</td>
<td align="center">732</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">280</td>
<td align="center">448</td>
<td align="center">502</td>
<td align="center">505</td>
<td align="center">556</td>
<td align="center">635</td>
<td align="center">723</td>
</tr>
<tr>
<td align="center">C</td>
<td align="center">322</td>
<td align="center">481</td>
<td align="center">522</td>
<td align="center">531</td>
<td align="center">589</td>
<td align="center">682</td>
<td align="center">757</td>
</tr>
<tr>
<td align="center">D</td>
<td align="center">98</td>
<td align="center">189</td>
<td align="center">221</td>
<td align="center">241</td>
<td align="center">335</td>
<td align="center">452</td>
<td align="center">581</td>
</tr>
<tr>
<td align="center">E</td>
<td align="center">107</td>
<td align="center">191</td>
<td align="center">224</td>
<td align="center">251</td>
<td align="center">387</td>
<td align="center">550</td>
<td align="center">694</td>
</tr>
<tr>
<td align="center">F</td>
<td align="center">103</td>
<td align="center">169</td>
<td align="center">200</td>
<td align="center">216</td>
<td align="center">388</td>
<td align="center">544</td>
<td align="center">686</td>
</tr>
<tr>
<td align="center">G</td>
<td align="center">68</td>
<td align="center">106</td>
<td align="center">123</td>
<td align="center">140</td>
<td align="center">329</td>
<td align="center">484</td>
<td align="center">620</td>
</tr>
<tr>
<td align="center">H</td>
<td align="center">160</td>
<td align="center">169</td>
<td align="center">319</td>
<td align="center">354</td>
<td align="center">409</td>
<td align="center">446</td>
<td align="center">567</td>
</tr>
<tr>
<td align="center">I</td>
<td align="center">126</td>
<td align="center">199</td>
<td align="center">236</td>
<td align="center">310</td>
<td align="center">429</td>
<td align="center">500</td>
<td align="center">621</td>
</tr>
<tr>
<td align="center">J</td>
<td align="center">146</td>
<td align="center">186</td>
<td align="center">225</td>
<td align="center">274</td>
<td align="center">411</td>
<td align="center">509</td>
<td align="center">663</td>
</tr>
<tr>
<td align="center">K</td>
<td align="center">60</td>
<td align="center">103</td>
<td align="center">125</td>
<td align="center">133</td>
<td align="center">329</td>
<td align="center">414</td>
<td align="center">538</td>
</tr>
<tr>
<td align="center">Points average</td>
<td align="center">152.2</td>
<td align="center">251.5</td>
<td align="center">294.2</td>
<td align="center">318.7</td>
<td align="center">433.6</td>
<td align="center">534.4</td>
<td align="center">652.9</td>
</tr>
<tr>
<td align="center">Workplane average</td>
<td align="center">206</td>
<td align="center">317</td>
<td align="center">348</td>
<td align="center">375</td>
<td align="center">487</td>
<td align="center">585</td>
<td align="center">700</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4-3">
<label>3.4.3</label>
<title>Building orientation strategies</title>
<p>Building orientation is a key driver of indoor illuminance and visual comfort in passive daylighting strategies. Daylight levels in interior spaces depend not only on the position and size of openings, but also on how the building is oriented relative to the sun&#x2019;s path. In this study, orientation analysis was undertaken primarily to isolate the daylighting effect of verandahs, a common regional feature typically extending along one of the longer fa&#xe7;ades. Although orientation is widely recognized as a major determinant of daylight availability and distribution, the specific influence of verandahs on interior illuminance patterns and visual comfort remains underexplored. To address this gap, the simulations focused on building form and verandah configuration, while excluding external obstructions such as trees and neighboring buildings. On the actual site, trees are located along the shorter fa&#xe7;ade without windows and therefore have a negligible impact on the tested spaces. This modelling choice removes confounding shading effects and allows observed daylight outcomes to be attributed more clearly to orientation and verandah geometry, strengthening the inferences drawn about their roles in daylight performance and occupant comfort.</p>
<p>Eight orientations were examined, combining the main cardinal directions with verandah placement, to evaluate daylight distribution in the design studios. While four orientations would be sufficient for a fully symmetrical fa&#xe7;ade, the presence of a verandah on the front fa&#xe7;ade, typical of Nigerian studio buildings, necessitated a full set of eight cases to capture asymmetrical daylight responses. <xref ref-type="fig" rid="F7">Figure 7</xref> summarizes these orientations, including labels, azimuth angles, and key characteristics. The verandah&#x2019;s position relative to the glazing significantly affects indoor daylight levels, justifying this more comprehensive orientation analysis. For the existing base-case studio, the illuminance levels for all eight orientations were analyzed to assess orientation-related daylight performance. Average illuminance values ranged from 147.7 to 180.7 lux, well below the 500 lux recommended standard (<xref ref-type="table" rid="T8">Table 8</xref>). Since no orientation of the existing configuration delivered adequate daylighting, the results clearly indicate the need for design modifications, particularly adjustments to window position, size, and/or verandah treatment, to achieve acceptable daylight performance in the studios.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>The positions of the buildings and the verandah on the cardinal points.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g007.tif">
<alt-text content-type="machine-generated">Diagram depicting a radial arrangement with eight rectangular buildings around a central point, labeled Studios and Verandah. Each building is positioned at different compass directions (N, NE, E, SE, S, SW, W, NW) and angles (0&#xB0;, 45&#xB0;, 90&#xB0;, 135&#xB0;, 180&#xB0;, 225&#xB0;, 270&#xB0;, 315&#xB0;). The verandahs alternate sides around the central point.</alt-text>
</graphic>
</fig>
<table-wrap id="T8" position="float">
<label>TABLE 8</label>
<caption>
<p>Influence of orientation on illuminance level of the existing case and the best case (Alternative 6).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Measurement positions</th>
<th colspan="9" align="center">Existing building case</th>
<th colspan="9" align="center">Best case (Alternative 6)</th>
</tr>
<tr>
<th align="center">Base-case</th>
<th align="center">0&#xb0;</th>
<th align="center">45&#xb0;</th>
<th align="center">90&#xb0;</th>
<th align="center">135&#xb0;</th>
<th align="center">180&#xb0;</th>
<th align="center">225&#xb0;</th>
<th align="center">270&#xb0;</th>
<th align="center">315&#xb0;</th>
<th align="center">Best-case</th>
<th align="center">0&#xb0;</th>
<th align="center">45&#xb0;</th>
<th align="center">90&#xb0;</th>
<th align="center">135&#xb0;</th>
<th align="center">180&#xb0;</th>
<th align="center">225&#xb0;</th>
<th align="center">270&#xb0;</th>
<th align="center">315&#xb0;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">A</td>
<td align="left">204</td>
<td align="left">191</td>
<td align="left">184</td>
<td align="left">185</td>
<td align="left">200</td>
<td align="left">238</td>
<td align="left">284</td>
<td align="left">275</td>
<td align="left">222</td>
<td align="left">732</td>
<td align="left">725</td>
<td align="left">930</td>
<td align="left">1,059</td>
<td align="left">864</td>
<td align="left">841</td>
<td align="left">1,427</td>
<td align="left">1,478</td>
<td align="left">931</td>
</tr>
<tr>
<td align="center">B</td>
<td align="left">280</td>
<td align="left">270</td>
<td align="left">246</td>
<td align="left">244</td>
<td align="left">256</td>
<td align="left">318</td>
<td align="left">378</td>
<td align="left">374</td>
<td align="left">322</td>
<td align="left">723</td>
<td align="left">713</td>
<td align="left">974</td>
<td align="left">1,095</td>
<td align="left">863</td>
<td align="left">778</td>
<td align="left">1,356</td>
<td align="left">1,392</td>
<td align="left">923</td>
</tr>
<tr>
<td align="center">C</td>
<td align="left">322</td>
<td align="left">286</td>
<td align="left">260</td>
<td align="left">256</td>
<td align="left">268</td>
<td align="left">319</td>
<td align="left">393</td>
<td align="left">412</td>
<td align="left">360</td>
<td align="left">757</td>
<td align="left">756</td>
<td align="left">1,004</td>
<td align="left">1,065</td>
<td align="left">827</td>
<td align="left">751</td>
<td align="left">1,300</td>
<td align="left">1,432</td>
<td align="left">943</td>
</tr>
<tr>
<td align="center">D</td>
<td align="left">98</td>
<td align="left">97</td>
<td align="left">102</td>
<td align="left">105</td>
<td align="left">103</td>
<td align="left">108</td>
<td align="left">120</td>
<td align="left">117</td>
<td align="left">104</td>
<td align="left">581</td>
<td align="left">601</td>
<td align="left">999</td>
<td align="left">1,165</td>
<td align="left">879</td>
<td align="left">711</td>
<td align="left">1,224</td>
<td align="left">1,133</td>
<td align="left">759</td>
</tr>
<tr>
<td align="center">E</td>
<td align="left">107</td>
<td align="left">104</td>
<td align="left">106</td>
<td align="left">106</td>
<td align="left">104</td>
<td align="left">111</td>
<td align="left">125</td>
<td align="left">131</td>
<td align="left">111</td>
<td align="left">694</td>
<td align="left">701</td>
<td align="left">1,153</td>
<td align="left">1,284</td>
<td align="left">928</td>
<td align="left">723</td>
<td align="left">1,204</td>
<td align="left">1,294</td>
<td align="left">899</td>
</tr>
<tr>
<td align="center">F</td>
<td align="left">103</td>
<td align="left">101</td>
<td align="left">101</td>
<td align="left">106</td>
<td align="left">96</td>
<td align="left">101</td>
<td align="left">118</td>
<td align="left">125</td>
<td align="left">114</td>
<td align="left">686</td>
<td align="left">726</td>
<td align="left">1,177</td>
<td align="left">1,261</td>
<td align="left">909</td>
<td align="left">701</td>
<td align="left">1,182</td>
<td align="left">1,291</td>
<td align="left">908</td>
</tr>
<tr>
<td align="center">G</td>
<td align="left">68</td>
<td align="left">65</td>
<td align="left">66</td>
<td align="left">62</td>
<td align="left">63</td>
<td align="left">61</td>
<td align="left">67</td>
<td align="left">75</td>
<td align="left">72</td>
<td align="left">620</td>
<td align="left">653</td>
<td align="left">1,103</td>
<td align="left">1,108</td>
<td align="left">724</td>
<td align="left">551</td>
<td align="left">961</td>
<td align="left">1,187</td>
<td align="left">875</td>
</tr>
<tr>
<td align="center">H</td>
<td align="left">160</td>
<td align="left">165</td>
<td align="left">192</td>
<td align="left">206</td>
<td align="left">182</td>
<td align="left">152</td>
<td align="left">152</td>
<td align="left">151</td>
<td align="left">152</td>
<td align="left">567</td>
<td align="left">542</td>
<td align="left">834</td>
<td align="left">944</td>
<td align="left">730</td>
<td align="left">650</td>
<td align="left">1,083</td>
<td align="left">1,131</td>
<td align="left">717</td>
</tr>
<tr>
<td align="center">I</td>
<td align="left">126</td>
<td align="left">133</td>
<td align="left">148</td>
<td align="left">161</td>
<td align="left">140</td>
<td align="left">125</td>
<td align="left">123</td>
<td align="left">126</td>
<td align="left">124</td>
<td align="left">621</td>
<td align="left">611</td>
<td align="left">899</td>
<td align="left">995</td>
<td align="left">741</td>
<td align="left">684</td>
<td align="left">1,173</td>
<td align="left">1,247</td>
<td align="left">820</td>
</tr>
<tr>
<td align="center">J</td>
<td align="left">146</td>
<td align="left">147</td>
<td align="left">176</td>
<td align="left">180</td>
<td align="left">158</td>
<td align="left">136</td>
<td align="left">133</td>
<td align="left">139</td>
<td align="left">140</td>
<td align="left">663</td>
<td align="left">625</td>
<td align="left">960</td>
<td align="left">1,014</td>
<td align="left">749</td>
<td align="left">644</td>
<td align="left">1,138</td>
<td align="left">1,303</td>
<td align="left">849</td>
</tr>
<tr>
<td align="center">K</td>
<td align="left">60</td>
<td align="left">66</td>
<td align="left">66</td>
<td align="left">64</td>
<td align="left">56</td>
<td align="left">57</td>
<td align="left">59</td>
<td align="left">63</td>
<td align="left">80</td>
<td align="left">538</td>
<td align="left">511</td>
<td align="left">844</td>
<td align="left">813</td>
<td align="left">565</td>
<td align="left">495</td>
<td align="left">953</td>
<td align="left">1,096</td>
<td align="left">740</td>
</tr>
<tr>
<td align="left">Average</td>
<td align="left">152.2</td>
<td align="left">147.7</td>
<td align="left">149.7</td>
<td align="left">152.3</td>
<td align="left">147.8</td>
<td align="left">156.9</td>
<td align="left">177.5</td>
<td align="left">180.7</td>
<td align="left">163.7</td>
<td align="left">652.9</td>
<td align="left">651.3</td>
<td align="left">988.8</td>
<td align="left">1,073.0</td>
<td align="left">798.1</td>
<td align="left">684.5</td>
<td align="left">1,181.9</td>
<td align="left">1,271.3</td>
<td align="left">851.3</td>
</tr>
<tr>
<td align="left">Work plane average</td>
<td align="left">206</td>
<td align="left">195</td>
<td align="left">189</td>
<td align="left">189</td>
<td align="left">189</td>
<td align="left">212</td>
<td align="left">256</td>
<td align="left">265</td>
<td align="left">227</td>
<td align="left">700</td>
<td align="left">688</td>
<td align="left">1736</td>
<td align="left">2083</td>
<td align="left">970</td>
<td align="left">731</td>
<td align="left">2,365</td>
<td align="left">2,771</td>
<td align="left">1,105</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The daylighting performance of Alternative six was evaluated to assess the impact of orientation on visual comfort. Among the eight orientations, Orientation 7 (O-7) at 270&#xb0; produced the highest average illuminance (1,271.3 lux), significantly exceeding the 500 lux target (<xref ref-type="table" rid="T8">Table 8</xref>). In this configuration, the longer studio fa&#xe7;ade without a verandah faces south, aligning with the tropical sun path and receiving maximum solar radiation. While this enhances daylight availability, the elevated illuminance levels can contribute to overheating, thermal discomfort, and glare. Orientation 6 (O-6) at 225&#xb0; recorded the second-highest illuminance, with its southeast-facing fa&#xe7;ade receiving substantial solar exposure. Orientations 3, 2, 8, 5, and one followed in descending order, and all except Orientation one achieved higher illuminance than the base-case orientation of Alternative 6. The simulations also showed that positions D and H consistently recorded lower illuminance than other measurement points in the studio. Position D is located at the room center, farther from the primary daylight apertures, while Position H is near fa&#xe7;ade openings that are partially shaded by the verandah. In contrast, points adjacent to fa&#xe7;ade openings without a verandah generally maintained higher illuminance across most orientations, highlighting the shading impact of the verandah. <xref ref-type="fig" rid="F8">Figure 8b</xref> presents the illuminance contour plots for the simulated best-case alternatives (0&#xb0;&#x2013;315&#xb0;), illustrating how daylight distribution varies with orientation.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>The contours of simulated average illuminance levels (lux) &#x2013; <bold>(a)</bold> Alternative A1 to A6; <bold>(b)</bold> Best Case Orientations at 0&#x00B0; to 315&#xb0;.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g008.tif">
<alt-text content-type="machine-generated">Grid of twelve simulation graphics showing average illuminance levels across different design alternatives and orientations. Top six graphics labeled Alternatives A1 to A6 display varying green and yellow shading. Bottom six, labeled with orientations from zero to two hundred twenty-five degrees, show similar variations in shading, indicating changes in light intensity patterns.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-4">
<label>3.4.4</label>
<title>Evaluation of daylight glare index</title>
<p>The influence of glare on alternatives and daylight measures is pivotal for visual comfort, as it is affected by direct light on interior surfaces. In naturally lit buildings, window openings dictate light distribution, fluctuating with the sun&#x2019;s position, building geometry, and time of day. Areas near windows often encounter glare discomfort. This study evaluated the glare index at multiple studio locations. The research used the supplied Daylight Glare Probability (DGP), a linearized version of the comprehensive DGP model (<xref ref-type="bibr" rid="B99">Wienold and Christoffersen, 2006</xref>), for assessing glare risk based solely on vertical illuminance (Ev) at eye level (<xref ref-type="disp-formula" rid="e1">Equation 1</xref>). Although this simplification assumes a &#x201c;typical&#x201d; glare source and is less precise than the full DGP, it is useful for comparing design alternatives. A study by <xref ref-type="bibr" rid="B54">Jakubiec and Reinhart (2011)</xref> determined that Daylight Glare Probability (DGP) provides the most credible results in examined spaces and lighting conditions, as it is based on contrast and total vertical eye illuminance, while other metrics rely entirely on contrast.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mtext>DGP</mml:mtext>
<mml:mo>&#x2248;</mml:mo>
<mml:mn>5.87</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msup>
<mml:mn>10</mml:mn>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>5</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#xb7;</mml:mo>
<mml:mi>E</mml:mi>
<mml:mi>v</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>0.16</mml:mn>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>The DGP acceptability metrics (<xref ref-type="bibr" rid="B54">Jakubiec and Reinhart, 2011</xref>) classify daylight glare as imperceptible (no visual discomfort) when the DGP is less than 0.3, perceptible when it ranges between 0.3 and 0.35 (noticeable but tolerable glare), disturbing when it lies between 0.35 and 0.4 (disruptive glare; affects comfort), and intolerable when it exceeds 0.45 (severe glare; visual discomfort).</p>
<p>The analysis of Daylight Glare Probability (DGP) reveals consistent trends in visual comfort performance across all simulation scenarios. The results indicate that glare levels remain largely within acceptable limits, particularly in design alternatives that integrate daylight-enhancing strategies such as clerestory openings, high-level windows, and optimized orientations. In the study, which compares different design alternatives, the DGP values across all positions remained below the threshold of 0.35, classifying them as imperceptible glare levels, suggesting that each alternative, including the base case, performs well in managing daylight glare, which is due to careful daylight integration and moderate illuminance levels. Similarly, in terms of various orientations of the existing building and the best case, similar results were observed. Despite slight variations in illuminance due to orientation changes, DGP remained in the imperceptible range across all positions. This highlights that orientation alone, within the range tested, does not significantly impact glare perception under the modeled conditions.</p>
<p>Furthermore, the study analyzed Daylight Glare Probability (DGP) across various times of the day, revealing a significant range of variation. While most time slots exhibited imperceptible glare levels, a notable increase in glare was observed during the late afternoon, particularly around 5:00 p.m. (<xref ref-type="fig" rid="F9">Figure 9a</xref>), where DGP values occasionally surpassed 0.40. These readings were classified as &#x201c;disturbing&#x201d; or even &#x201c;intolerable&#x201d; at specific positions, indicating a temporal vulnerability in visual comfort. This finding highlights the necessity for targeted glare mitigation strategies, such as louvres, automated blinds, or dynamic glazing systems, during critical hours of the day. In contrast, the analysis of seasonal variation demonstrated that DGP values remained consistently below critical thresholds throughout most of the year. Even during periods of high solar intensity, such as the summer solstice (21 June) and winter solstice (22 December), glare levels across most positions remained within the imperceptible range, indicating a robust design response to seasonal shifts in daylight availability.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>The heatmap of the DGI classification by: <bold>(a)</bold> Time and position; <bold>(b)</bold> Seasons of the year.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g009.tif">
<alt-text content-type="machine-generated">Heatmap comparison of DGP and DGI classifications by time, position, and season. Top: Time-focused, showing intense glare at 5:00 PM from position A. Bottom: Seasonal focus, showing consistent glare levels in March, April, June, September, and December, predominantly at positions A, C, and E. Color scale: blue (imperceptible), yellow (perceptible), orange (disturbing), red (intolerable).</alt-text>
</graphic>
</fig>
<p>The analysis of the different design alternatives revealed a clear increase in glare intensity from the Base Case to Alternative 6. The Base Case consistently remained within the imperceptible glare category, whereas Alternatives five and six showed elevated glare levels, especially at positions A, B, and C, which are closest to the window openings and frequently reached the disturbing glare range. This pattern reflects a typical daylighting trade-off: increased daylight penetration enhances visual performance and reduces reliance on artificial lighting but simultaneously heightens glare risk, highlighting the need for passive or active glare control measures in high-performance daylighting strategies. The DGI classification across orientation scenarios further confirmed the strong influence of orientation on glare performance. Several measurement points experienced intolerable glare (DGI &#x2265; 25) for orientations between 45&#xb0; and 315&#xb0;, particularly in the best-case design alternatives with higher daylight illuminance. These findings emphasize the orientation-dependent nature of glare, where solar path, fa&#xe7;ade exposure, and window configuration collectively shape visual comfort outcomes. In contrast, some positions under 0&#xb0;, 135&#xb0;, and 180&#xb0; maintained DGI values within the imperceptible range, highlighting the importance of careful orientation and fa&#xe7;ade design in achieving a balance between sufficient daylight and acceptable glare levels.</p>
<p>Finally, the assessment of seasonal DGI variation (<xref ref-type="fig" rid="F9">Figure 9b</xref>) reinforces these observations. Glare levels remained largely imperceptible during the equinoxes (21 March and 23 September) and at the summer solstice (21 June. In contrast, a pronounced increase in DGI occurred during the winter solstice (22 December), when several positions, particularly those closest to the glazing (A, B, and C), reached intolerable glare levels. This outcome is likely driven by the lower solar altitude and deeper penetration of direct sunlight into the studio during winter. This seasonal peak in glare underlines the importance of dynamic or adaptive glare control strategies (e.g., adjustable shading, blinds, or electrochromic glazing) that can respond to changing solar geometry throughout the year, maintaining acceptable visual comfort while preserving the daylighting benefits of the fa&#xe7;ade design.</p>
</sec>
<sec id="s3-4-5">
<label>3.4.5</label>
<title>Indoor illuminance across different times of day</title>
<p>Daylight illuminance in indoor spaces naturally varies with solar radiation and sun position. In this study, the simulation period extended from 7:00 a.m. to 6:00 p.m., with illuminance recorded at hourly intervals, capturing the full daily cycle of daylight and allowing a comprehensive evaluation of both glare and illuminance performance in morning and afternoon periods. For the best-case configuration (Alternative 6), a more detailed analysis was conducted from 6:00 a.m. to 6:00 p.m. At 6:00 a.m., no daylight contribution was observed, and at 7:00 a.m., the illuminance was still below the 500 lux target (<xref ref-type="table" rid="T9">Table 9</xref>). Illuminance levels increased and peaked around 9:00 a.m., then decreased toward midday as the sun&#x2019;s higher altitude and changing incidence angle reduced daylight contribution through the fa&#xe7;ade. From 1:00 p.m. onward, illuminance began to rise again, reaching its highest values at 5:00 p.m. before declining toward sunset at 6:00 p.m. This diurnal pattern highlights the strong influence of solar geometry on indoor daylight availability and highlights the need to consider time-of-day effects when assessing daylighting performance.</p>
<table-wrap id="T9" position="float">
<label>TABLE 9</label>
<caption>
<p>Indoor illuminance level at various times of the day.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" align="center">Measurement positions</th>
<th colspan="12" align="center">Average illuminance levels (lux) of different time of the day (Alternative 6)</th>
</tr>
<tr>
<th align="center">T-1</th>
<th align="center">T-2</th>
<th align="center">T-3</th>
<th align="center">T-4</th>
<th align="center">T-5</th>
<th align="center">T-6</th>
<th align="center">T-7</th>
<th align="center">T-8</th>
<th align="center">T-9</th>
<th align="center">T-10</th>
<th align="center">T-11</th>
<th align="center">T-12</th>
</tr>
<tr>
<th align="center">7.00AM</th>
<th align="center">8.00AM</th>
<th align="center">9.00AM</th>
<th align="center">10.00PM</th>
<th align="center">11.00PM</th>
<th align="center">12.00PM</th>
<th align="center">1.00PM</th>
<th align="left">2.00PM</th>
<th align="left">3.00PM</th>
<th align="left">4.00PM</th>
<th align="left">5.00PM</th>
<th align="left">6.00PM</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">A</td>
<td align="center">331</td>
<td align="center">910</td>
<td align="center">1,081</td>
<td align="center">987</td>
<td align="center">781</td>
<td align="center">732</td>
<td align="center">1,144</td>
<td align="center">1933</td>
<td align="center">2,787</td>
<td align="center">2,878</td>
<td align="center">4,185</td>
<td align="center">325</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">376</td>
<td align="center">1,166</td>
<td align="center">1,274</td>
<td align="center">1,122</td>
<td align="center">810</td>
<td align="center">723</td>
<td align="center">1,130</td>
<td align="center">1881</td>
<td align="center">2,605</td>
<td align="center">2,527</td>
<td align="center">4,100</td>
<td align="center">286</td>
</tr>
<tr>
<td align="center">C</td>
<td align="center">418</td>
<td align="center">1855</td>
<td align="center">1,574</td>
<td align="center">1,184</td>
<td align="center">848</td>
<td align="center">757</td>
<td align="center">1,153</td>
<td align="center">1895</td>
<td align="center">2,596</td>
<td align="center">2,363</td>
<td align="center">1,321</td>
<td align="center">257</td>
</tr>
<tr>
<td align="center">D</td>
<td align="center">303</td>
<td align="center">826</td>
<td align="center">1,031</td>
<td align="center">968</td>
<td align="center">718</td>
<td align="center">581</td>
<td align="center">890</td>
<td align="center">1,335</td>
<td align="center">1,657</td>
<td align="center">1,580</td>
<td align="center">3,928</td>
<td align="center">192</td>
</tr>
<tr>
<td align="center">E</td>
<td align="center">369</td>
<td align="center">1,052</td>
<td align="center">1,334</td>
<td align="center">1,273</td>
<td align="center">872</td>
<td align="center">694</td>
<td align="center">1,039</td>
<td align="center">1,482</td>
<td align="center">1831</td>
<td align="center">1741</td>
<td align="center">3,926</td>
<td align="center">198</td>
</tr>
<tr>
<td align="center">F</td>
<td align="center">403</td>
<td align="center">1,381</td>
<td align="center">1,577</td>
<td align="center">1,393</td>
<td align="center">906</td>
<td align="center">686</td>
<td align="center">1,069</td>
<td align="center">1,477</td>
<td align="center">1813</td>
<td align="center">1,686</td>
<td align="center">3,918</td>
<td align="center">189</td>
</tr>
<tr>
<td align="center">G</td>
<td align="center">392</td>
<td align="center">1755</td>
<td align="center">2,103</td>
<td align="center">1,497</td>
<td align="center">846</td>
<td align="center">620</td>
<td align="center">1,053</td>
<td align="center">1,418</td>
<td align="center">1,562</td>
<td align="center">1,440</td>
<td align="center">988</td>
<td align="center">132</td>
</tr>
<tr>
<td align="center">H</td>
<td align="center">344</td>
<td align="center">891</td>
<td align="center">977</td>
<td align="center">902</td>
<td align="center">640</td>
<td align="center">567</td>
<td align="center">844</td>
<td align="center">1,309</td>
<td align="center">2038</td>
<td align="center">1932</td>
<td align="center">1,445</td>
<td align="center">196</td>
</tr>
<tr>
<td align="center">I</td>
<td align="center">439</td>
<td align="center">1,027</td>
<td align="center">1,136</td>
<td align="center">1,046</td>
<td align="center">716</td>
<td align="center">621</td>
<td align="center">977</td>
<td align="center">1,552</td>
<td align="center">2,244</td>
<td align="center">2092</td>
<td align="center">1,493</td>
<td align="center">191</td>
</tr>
<tr>
<td align="center">J</td>
<td align="center">836</td>
<td align="center">1,187</td>
<td align="center">1,287</td>
<td align="center">1,180</td>
<td align="center">745</td>
<td align="center">663</td>
<td align="center">1,016</td>
<td align="center">1,652</td>
<td align="center">2,190</td>
<td align="center">2097</td>
<td align="center">1,450</td>
<td align="center">195</td>
</tr>
<tr>
<td align="center">K</td>
<td align="center">321</td>
<td align="center">962</td>
<td align="center">1,153</td>
<td align="center">1,085</td>
<td align="center">666</td>
<td align="center">538</td>
<td align="center">916</td>
<td align="center">1,554</td>
<td align="center">2,135</td>
<td align="center">3,773</td>
<td align="center">1,138</td>
<td align="center">143</td>
</tr>
<tr>
<td align="center">Average</td>
<td align="center">412</td>
<td align="center">1,182.9</td>
<td align="center">1,320.6</td>
<td align="center">1,148.8</td>
<td align="center">777.1</td>
<td align="center">652.9</td>
<td align="center">1,021.0</td>
<td align="center">1,589.8</td>
<td align="center">2,132.5</td>
<td align="center">2,191.7</td>
<td align="center">2,535.6</td>
<td align="center">209.5</td>
</tr>
<tr>
<td align="center">Workplane average</td>
<td align="center">434</td>
<td align="center">1,380</td>
<td align="center">2,331</td>
<td align="center">1975</td>
<td align="center">973</td>
<td align="center">700</td>
<td align="center">1788</td>
<td align="center">4,017</td>
<td align="center">5,900</td>
<td align="center">3,995</td>
<td align="center">1944</td>
<td align="center">211</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4-6">
<label>3.4.6</label>
<title>Space illuminance uniformity ratio</title>
<p>The illumination uniformity ratio describes how evenly light is distributed across a space and is a key determinant of visual comfort. CIBSE recommends a target uniformity of 0.7, while <xref ref-type="bibr" rid="B20">BREEAM (2008)</xref> defines acceptable ranges of 0.30&#x2013;0.54 (morning), 0.45&#x2013;0.66 (midday) and 0.50&#x2013;0.56 (afternoon), all above the minimum requirement of 0.4. For classrooms, a ratio of 0.4 is generally acceptable, whereas studios undertaking intensive visual tasks are recommended to achieve 0.6&#x2013;0.8 (<xref ref-type="bibr" rid="B37">DfEE, 1999</xref>; <xref ref-type="bibr" rid="B29">CIBSE, 2011</xref>; EN 12464-1, 2011; <xref ref-type="bibr" rid="B19">BRE Global Ltd, 2014</xref>). In this study, uniformity was calculated using two indices: U1 (minimum/average illuminance) and U2 (minimum/maximum illuminance). The best-case configuration (Alternative 6) achieved 0.8 (U1) and 0.7 (U2) (<xref ref-type="table" rid="T10">Table 10</xref>), placing it at the upper end of the recommended range for studio environments. Across all eight orientations, uniformity ratios remained between 0.4 and 0.8 (<xref ref-type="table" rid="T10">Table 10</xref>; <xref ref-type="fig" rid="F10">Figure 10a</xref>), satisfying classroom criteria and, in many cases, approaching studio standards. For the orientation with the highest average illuminance (270&#xb0;), U1 and U2 were 0.4 and 0.7, respectively, indicating an acceptable balance between overall light level and distribution in an educational context.</p>
<table-wrap id="T10" position="float">
<label>TABLE 10</label>
<caption>
<p>Uniformity ratios of the best case (Alternative 6), various orientations, and different times of the day.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="center">Alternatives</th>
<th align="center">E_Minimum</th>
<th align="center">E_Maximum</th>
<th align="center">E_Average</th>
<th align="center">Uniformity ratio (U1)</th>
<th align="center">Uniformity ratio (U2)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="9" align="center">Orientation</td>
<td align="center">Best-case (alt. 6)</td>
<td align="center">538</td>
<td align="center">757</td>
<td align="center">700</td>
<td align="center">0.8</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">0&#xb0;</td>
<td align="center">511</td>
<td align="center">756</td>
<td align="center">688</td>
<td align="center">0.7</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">45&#xb0;</td>
<td align="center">834</td>
<td align="center">1,177</td>
<td align="center">1736</td>
<td align="center">0.5</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">90&#xb0;</td>
<td align="center">813</td>
<td align="center">1,284</td>
<td align="center">2083</td>
<td align="center">0.4</td>
<td align="center">0.6</td>
</tr>
<tr>
<td align="center">135&#xb0;</td>
<td align="center">565</td>
<td align="center">928</td>
<td align="center">970</td>
<td align="center">0.6</td>
<td align="center">0.6</td>
</tr>
<tr>
<td align="center">180&#xb0;</td>
<td align="center">495</td>
<td align="center">841</td>
<td align="center">731</td>
<td align="center">0.7</td>
<td align="center">0.6</td>
</tr>
<tr>
<td align="center">225&#xb0;</td>
<td align="center">953</td>
<td align="center">1,427</td>
<td align="center">2,365</td>
<td align="center">0.4</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">270&#xb0;</td>
<td align="center">1,096</td>
<td align="center">1,478</td>
<td align="center">2,771</td>
<td align="center">0.4</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">315&#xb0;</td>
<td align="center">717</td>
<td align="center">943</td>
<td align="center">1,105</td>
<td align="center">0.6</td>
<td align="center">0.8</td>
</tr>
<tr>
<td rowspan="12" align="center">Time of the day</td>
<td align="center">7:00 a.m.</td>
<td align="center">303</td>
<td align="center">836</td>
<td align="center">434</td>
<td align="center">0.7</td>
<td align="center">0.4</td>
</tr>
<tr>
<td align="center">8:00 a.m.</td>
<td align="center">826</td>
<td align="center">1855</td>
<td align="center">1,380</td>
<td align="center">0.6</td>
<td align="center">0.4</td>
</tr>
<tr>
<td align="center">9:00 a.m.</td>
<td align="center">977</td>
<td align="center">2,103</td>
<td align="center">2,331</td>
<td align="center">0.4</td>
<td align="center">0.5</td>
</tr>
<tr>
<td align="center">10:00 a.m.</td>
<td align="center">902</td>
<td align="center">1,497</td>
<td align="center">1975</td>
<td align="center">0.5</td>
<td align="center">0.6</td>
</tr>
<tr>
<td align="center">11:00 a.m.</td>
<td align="center">640</td>
<td align="center">906</td>
<td align="center">973</td>
<td align="center">0.7</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">12:00 p.m.</td>
<td align="center">538</td>
<td align="center">757</td>
<td align="center">700</td>
<td align="center">0.8</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">1:00 p.m.</td>
<td align="center">844</td>
<td align="center">1,153</td>
<td align="center">1788</td>
<td align="center">0.5</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">2:00 p.m.</td>
<td align="center">1,309</td>
<td align="center">1933</td>
<td align="center">4,017</td>
<td align="center">0.3</td>
<td align="center">0.7</td>
</tr>
<tr>
<td align="center">3:00 p.m.</td>
<td align="center">1,562</td>
<td align="center">2,787</td>
<td align="center">5,900</td>
<td align="center">0.3</td>
<td align="center">0.6</td>
</tr>
<tr>
<td align="center">4:00 p.m.</td>
<td align="center">1,440</td>
<td align="center">3,773</td>
<td align="center">3,995</td>
<td align="center">0.4</td>
<td align="center">0.4</td>
</tr>
<tr>
<td align="center">5:00 p.m.</td>
<td align="center">988</td>
<td align="center">4,185</td>
<td align="center">1944</td>
<td align="center">0.5</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="center">6:00 p.m.</td>
<td align="center">132</td>
<td align="center">325</td>
<td align="center">211</td>
<td align="center">0.6</td>
<td align="center">0.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>The uniformity ratios - <bold>(a)</bold> Best case (Alternative 6) and orientation alternatives; <bold>(b)</bold> Different times of the day.</p>
</caption>
<graphic xlink:href="fbuil-11-1741763-g010.tif">
<alt-text content-type="machine-generated">Two bar charts compare uniformity ratios U1 and U2. Chart a) shows these ratios across different orientation angles and alternatives, with values ranging from 0 to 0.9. Chart b) displays the ratios throughout the day from 7:00 AM to 6:00 PM, indicating fluctuations in the ratios.</alt-text>
</graphic>
</fig>
<p>Temporal analysis revealed that the illumination uniformity ratio varies over the day. Uniformity remained within acceptable limits for most hours, with two notable exceptions. Between 2:00&#x2013;3:00 p.m., U1 dipped slightly below the preferred threshold, although U2 stayed within acceptable bounds. At 5:00 p.m., the situation reversed: U1 remained acceptable (0.5), while U2 fell to 0.35, likely reflecting strong directional daylight and contrast associated with the lower solar altitude before sunset (<xref ref-type="table" rid="T10">Table 10</xref>; <xref ref-type="fig" rid="F10">Figure 10b</xref>). Despite these brief deviations, the overall uniformity remained generally satisfactory throughout the day, supporting the effectiveness of the proposed daylighting strategy in maintaining visually comfortable conditions in the design studios.</p>
</sec>
<sec id="s3-4-7">
<label>3.4.7</label>
<title>Seasonal consideration in daylighting simulation</title>
<p>This study considered six characteristic dates to capture the combined effects of seasonal solar geometry and local climatic variation on daylighting performance. Four of these dates correspond to the key astronomical reference days of the year, 21 March (Vernal Equinox), 21 June (Summer Solstice), 23 September (Autumn Equinox), and 22 December (Winter Solstice), when the sun&#x2019;s path and altitude represent the principal seasonal extremes and transitions. The equinoxes provide representative &#x201c;mid-season&#x201d; conditions with roughly equal day and night, while the solstices represent the highest and lowest solar paths, which are critical for assessing the range of daylight penetration and potential glare. In addition, two climate-specific dates were selected: 15 April (hottest month and onset of the rainy season) and 15 August (rainiest month), to reflect local extremes in temperature and cloud cover that may alter daylight availability. Together, these 6&#xa0;days offer a compact but representative set of conditions for evaluating annual daylight behavior in the studios of the study area.</p>
<p>The corresponding average illuminance levels are summarized in <xref ref-type="table" rid="T11">Table 11</xref>. Among these periods, the Winter Solstice (22 December) produced the highest average illuminance (977 lux), as the sun&#x2019;s lower altitude and tilt toward the south allowed deeper penetration of direct solar radiation into the studio. The Autumn Equinox (23 September) yielded the second-highest illuminance, benefiting from a favorable balance between solar height and fa&#xe7;ade exposure. By contrast, the Vernal Equinox (21 March) and Summer Solstice (21 June) recorded more moderate values of 685 lux and 692 lux, respectively, reflecting higher solar altitudes and reduced direct penetration into the interior. The hottest month (15 April) and the rainiest month (15 August) showed similar average illuminance levels (676 lux and 674 lux), indicating that, despite climatic differences in temperature and cloud cover, the overall daylight availability in the studio remained relatively stable across these two locally significant periods.</p>
<table-wrap id="T11" position="float">
<label>TABLE 11</label>
<caption>
<p>Average illuminance levels (lux) at different seasons of the year.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" align="center">Measurement positions</th>
<th colspan="6" align="center">Average illuminance levels (lux) at different seasons of the year (Alternative 6)</th>
</tr>
<tr>
<th align="center">S-1</th>
<th align="center">S-2</th>
<th align="center">S-3</th>
<th align="center">S-4</th>
<th align="center">S-5</th>
<th align="center">S-6</th>
</tr>
<tr>
<th align="center">21 March</th>
<th align="center">15 April</th>
<th align="center">21 June</th>
<th align="center">15 August</th>
<th align="center">23 September</th>
<th align="center">22 December</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">A</td>
<td align="center">738</td>
<td align="center">747</td>
<td align="center">772</td>
<td align="center">742</td>
<td align="center">739</td>
<td align="center">868</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">703</td>
<td align="center">703</td>
<td align="center">723</td>
<td align="center">719</td>
<td align="center">714</td>
<td align="center">857</td>
</tr>
<tr>
<td align="center">C</td>
<td align="center">745</td>
<td align="center">723</td>
<td align="center">730</td>
<td align="center">736</td>
<td align="center">734</td>
<td align="center">906</td>
</tr>
<tr>
<td align="center">D</td>
<td align="center">591</td>
<td align="center">626</td>
<td align="center">693</td>
<td align="center">639</td>
<td align="center">585</td>
<td align="center">674</td>
</tr>
<tr>
<td align="center">E</td>
<td align="center">682</td>
<td align="center">676</td>
<td align="center">737</td>
<td align="center">703</td>
<td align="center">681</td>
<td align="center">832</td>
</tr>
<tr>
<td align="center">F</td>
<td align="center">693</td>
<td align="center">673</td>
<td align="center">725</td>
<td align="center">701</td>
<td align="center">674</td>
<td align="center">865</td>
</tr>
<tr>
<td align="center">G</td>
<td align="center">616</td>
<td align="center">592</td>
<td align="center">582</td>
<td align="center">590</td>
<td align="center">613</td>
<td align="center">858</td>
</tr>
<tr>
<td align="center">H</td>
<td align="center">550</td>
<td align="center">537</td>
<td align="center">585</td>
<td align="center">546</td>
<td align="center">567</td>
<td align="center">658</td>
</tr>
<tr>
<td align="center">I</td>
<td align="center">593</td>
<td align="center">602</td>
<td align="center">609</td>
<td align="center">599</td>
<td align="center">623</td>
<td align="center">759</td>
</tr>
<tr>
<td align="center">J</td>
<td align="center">618</td>
<td align="center">616</td>
<td align="center">603</td>
<td align="center">599</td>
<td align="center">638</td>
<td align="center">829</td>
</tr>
<tr>
<td align="center">K</td>
<td align="center">511</td>
<td align="center">497</td>
<td align="center">463</td>
<td align="center">473</td>
<td align="center">518</td>
<td align="center">743</td>
</tr>
<tr>
<td align="center">Average</td>
<td align="center">640</td>
<td align="center">635.6</td>
<td align="center">656.5</td>
<td align="center">640.6</td>
<td align="center">644.2</td>
<td align="center">804.5</td>
</tr>
<tr>
<td align="center">Workplane average</td>
<td align="center">685</td>
<td align="center">676</td>
<td align="center">692</td>
<td align="center">674</td>
<td align="center">695</td>
<td align="center">977</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Source: Authors&#x2019; own creation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>From a design perspective, these seasonal patterns highlight the need for daylighting and shading strategies that perform robustly across the full annual range of solar conditions. The high illuminance levels observed at the Winter Solstice and Autumn Equinox suggest an increased risk of glare and local overheating during cooler seasons when deeper sun penetration occurs, whereas the more moderate illuminance at the Summer Solstice and during the hottest and rainiest months points to a different balance between daylight sufficiency and solar control. Effective fa&#xe7;ade design, combining orientation, glazing properties, and fixed or adaptive shading, must therefore address not only peak summer gains, but also winter and shoulder-season conditions, ensuring adequate daylight while mitigating seasonal glare and thermal discomfort throughout the year.</p>
</sec>
</sec>
<sec id="s3-5">
<label>3.5</label>
<title>Design recommendations derived from research findings</title>
<p>Based on the findings, the study recommends the following strategies to enhance illuminance levels and visual comfort:<list list-type="order">
<list-item>
<p>Increase Glazed Areas in Verandah-Covered Facades: Verandahs on studio and classroom facades reduce daylight penetration. To compensate, glazed areas should be larger, with a Window-to-Wall Ratio (WWR) of 20.8% and a Window-to-Floor Area Ratio (WFR) of 13.2%, enhancing perimeter daylight zones and improving visual comfort.</p>
</list-item>
<list-item>
<p>Integrate High-Level Openings: Due to the depth of design studios, adding high-level windows improves daylight penetration. Adding them to the west fa&#xe7;ade increased illuminance from 152.2 lux to 294.2 lux, and extending to both west and east fa&#xe7;ades raised it to 318.7 lux, while reducing glare and ensuring deeper light distribution.</p>
</list-item>
<list-item>
<p>Incorporate Clerestory Openings: To meet the 500 lux illuminance standard, integrating clerestory skylights is essential. This study found that adding clerestory openings increased illuminance from 152.2 lux to 652.9 lux, ensuring adequate lighting, improved uniformity, and minimized excessive brightness. The recommendation to add a clerestory level with window openings is justified by both the empirical findings of this study and the practical constraints of the existing structure. Clerestory windows provide a practical retrofit solution that enhances daylight penetration and uniformity in deep studio spaces, making them the most suitable choice for this context.</p>
</list-item>
<list-item>
<p>Optimize Building Orientation: Orientation plays a key role in daylighting performance. Orientation 7 (270&#xb0;) with a south-facing longer fa&#xe7;ade without a verandah achieved 1,271.3 lux, the highest illuminance. Orientation 6 (225&#xb0;), with a southeast-facing fa&#xe7;ade, recorded the second-highest illuminance, demonstrating that proper orientation maximizes daylight efficiency in tropical climates (latitude 11.8&#xb0;N, longitude 13.1&#xb0;E).</p>
</list-item>
<list-item>
<p>Increase Window-to-Wall Ratio (WWR): Increasing the WWR from 10% (base case) to 36.2% (best case) significantly improves illuminance, uniformity, and glare control, ensuring sufficient daylight across the space.</p>
</list-item>
<list-item>
<p>Use Sloped Ceilings for Better Light Distribution: Sloped ceilings direct daylight deeper into the space, increasing surface brightness and improving overall illuminance. Alternative 6, with a sloped ceiling, performed better than the base case without one.</p>
</list-item>
<list-item>
<p>Filter Daylight with Vegetation and Louvres: To reduce excessive solar radiation, daylight should be filtered using vegetation, curtains, or louvres, softening direct light, improving distribution, and minimizing glare, creating a balanced and visually comfortable environment.</p>
</list-item>
</list>
</p>
<p>These recommendations offer practical strategies to improve daylighting efficiency in design studios, ensuring visual comfort, energy savings, and optimal learning conditions.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Conclusions and recommendations</title>
<sec id="s4-1">
<label>4.1</label>
<title>Conclusions</title>
<p>Lighting plays a pivotal role in educational facilities, directly influencing the visual comfort and productivity of both students and teachers. In architectural design studios, spaces that demand intensive visual tasks, daylighting is particularly critical, especially in Nigeria, where energy shortages heighten the need for sustainable solutions. This study revealed significant shortcomings in existing studio lighting: 72% of students reported discomfort due to excessive brightness or dimness, 73% cited poor daylight distribution, and while 87% found daylight sufficient near windows, 72% noted inadequacy at the studio center. Full-scale illuminance measurements confirmed these perceptions, with levels far below the 500 lux standard (54.36, 147.97, and 140.25 lux), validating the uneven distribution highlighted in the survey.</p>
<p>To address these challenges, DIALux Evo simulations tested several enhancement strategies, validated against experimental data with error margins &#x2264;20%. The simulations identified high-level windows, clerestory openings, and optimized orientation as the most effective measures for achieving uniform daylight distribution and acceptable illuminance levels. For example, adding clerestory openings raised illuminance from 152.2 lux to 652.9 lux, surpassing the 500 lux requirement, while a south-facing fa&#xe7;ade orientation achieved an average illuminance of 1,271.3 lux. Furthermore, glare probability (&#x3c;0.3) and uniformity ratios (&#x3e;0.4) remained within recommended limits, confirming improved visual comfort.</p>
<p>In light of these findings, the study proposes several practical strategies to enhance daylight performance in design studios. Increasing the glazed areas on verandah-covered fa&#xe7;ades, with a Window-to-Wall Ratio (WWR) of 20.8% and a Window-to-Floor Area Ratio (WFR) of 13.2%, can significantly improve visual comfort. The integration of high-level windows facilitates deeper daylight penetration into studio spaces, while the incorporation of clerestory skylights ensures adherence to the 500 lux illuminance standard and promotes uniform light distribution. Optimizing building orientation further enhances daylight efficiency in tropical climates. Additional measures, such as increasing the WWR to 36.2% with sloped ceilings to direct light deeper into the interior, and filtering sunlight with vegetation or louvres, can further augment visual comfort and reduce glare.</p>
<p>This study is consistent with several United Nations Sustainable Development Goals (SDGs). Improving daylight performance in educational facilities supports SDG 3 (Good Health and Wellbeing) and SDG 4 (Quality Education) by fostering healthier and more effective learning environments. Optimized daylighting reduces dependence on artificial lighting, thereby contributing to SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action) through decreased energy demand and emissions. The incorporation of innovative design strategies directly advances SDG 9 (Industry, Innovation, and Infrastructure), while the policy and design recommendations promote SDG 11 (Sustainable Cities and Communities).</p>
<p>In conclusion, this study not only highlights the deficiencies of current daylighting conditions in architectural design studios in the study area but also provides validated, practical design strategies to improve illuminance and visual comfort. The findings contribute to evidence-based design guidelines and offer valuable insights for policymakers and practitioners developing building codes and daylighting standards for educational facilities in tropical climates.</p>
</sec>
<sec id="s4-2">
<label>4.2</label>
<title>Recommendations and suggestions for future studies</title>
<p>Given the strong link between daylighting and thermal comfort, increasing the window-to-wall ratio to enhance illuminance also affects thermal conditions. As this study focuses on daylighting, future research should investigate the thermal performance of architectural design studios with an increased window-to-wall ratio to optimize energy efficiency and occupant comfort. Cost&#x2013;benefit analysis is recommended prior to adopting any specific daylight design option.</p>
</sec>
<sec id="s4-3">
<label>4.3</label>
<title>Limitations</title>
<p>Building on previous studies (<xref ref-type="bibr" rid="B23">Catalina et al., 2011</xref>; <xref ref-type="bibr" rid="B7">Alfitri et al., 2015</xref>; <xref ref-type="bibr" rid="B107">Zhang et al., 2017</xref>), which identified rectangular buildings as optimal for lighting and energy performance, this study adopted a rectangular form for all daylighting simulations. The analysis focused primarily on daylighting strategies to enhance visual comfort, with artificial lighting treated as a secondary aspect. Larger spaces such as auditoriums and lecture theatres were excluded; only design studios accommodating fewer than 100 students were examined. The study also acknowledges that validation was carried out on three measurement days and that a non-probability sampling approach was used for the survey, since the intention was to capture the perceptions of studio users rather than to achieve statistical generalization to all building types. Furthermore, six representative days were modelled, 21 March (Vernal Equinox), 21 June (Summer Solstice), 23 September (Autumn Equinox), 22 December (Winter Solstice), 15 April (hottest month and onset of the rainy season), and 15 August (rainiest month), instead of a full-year simulation, which should be considered when extending the findings to other tropical contexts and studio configurations.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ramat Polytechnic Maiduguri Research and Ethics Committee (approval number RP/RC/ARC/2020/034. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>MM: Writing &#x2013; original draft, Resources, Formal Analysis, Data curation, Project administration, Writing &#x2013; review and editing, Conceptualization, Investigation, Methodology, Visualization, Software, Validation.</p>
</sec>
<ack>
<p>The author wishes to acknowledge the support provided by King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/166204/overview">Izuru Takewaki</ext-link>, Kyoto Arts and Crafts University, Japan</p>
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<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1501274/overview">Michele Rocca</ext-link>, University of Pisa, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1503035/overview">Giovanni Ciampi</ext-link>, Universit&#xe0; degli Studi della Campania Luigi Vanvitelli, Italy</p>
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