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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Cities</journal-id>
<journal-title>Frontiers in Sustainable Cities</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Cities</abbrev-journal-title>
<issn pub-type="epub">2624-9634</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frsc.2021.632109</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Cities</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Estimating Rooftop Solar Potential in Urban Environments: A Generalized Approach and Assessment of the Gal&#x000E1;pagos Islands</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tian</surname> <given-names>Amy</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1049854/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Z&#x000FC;nd</surname> <given-names>Daniel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1149519/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bettencourt</surname> <given-names>Lu&#x000ED;s M. A.</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="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/319869/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Mansueto Institute for Urban Innovation, The University of Chicago</institution>, <addr-line>Chicago, IL</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Ecology &#x00026; Evolution, The University of Chicago</institution>, <addr-line>Chicago, IL</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Santa Fe Institute</institution>, <addr-line>Santa Fe, NM</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jin Yang, China University of Geosciences, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Shauhrat S. Chopra, City University of Hong Kong, China; Jesus Ramos-Martin, Universitat Aut&#x000F2;noma de Barcelona, Spain</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Lu&#x000ED;s M. A. Bettencourt <email>bettencourt&#x00040;uchicago.edu</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Urban Energy End-Use, a section of the journal Frontiers in Sustainable Cities</p></fn></author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>3</volume>
<elocation-id>632109</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>11</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>05</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Tian, Z&#x000FC;nd and Bettencourt.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Tian, Z&#x000FC;nd and Bettencourt</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p></license> </permissions>
<abstract><p>Presently, many island communities are largely dependent on fossil fuel resources for energy, leaving the abundance of renewable energy resources largely untapped. Although various solar energy potential modeling tools have been developed, most require high-resolution data, which do not presently exist for many developing countries or remote areas. Here, we calculate the potential of rooftop solar systems using low-cost, readily obtainable data and methods. This approach can be replicated by local communities and decision-makers to obtain an estimate of solar potential before investing in more detailed analysis. We illustrate the use of these methods on the two major urban centers on the Gal&#x000E1;pagos Islands (Ecuador), Puerto Baquerizo Moreno and Puerto Ayora. Our results show that a minimum of 21% and 27% of the total rooftop area must be covered with today&#x00027;s solar energy production technology to meet the current electricity demand of Puerto Baquerizo Moreno and Puerto Ayora, respectively. Additionally, the results demonstrate that Puerto Baquerizo Moreno has a higher production potential than Puerto Ayora, making it an attractive option for solar development that does not compete with the scarce land resources, most of which must be preserved as natural protected areas.</p></abstract>
<kwd-group>
<kwd>built environment</kwd>
<kwd>infrastructure electrification</kwd>
<kwd>sustainable development</kwd>
<kwd>islands</kwd>
<kwd>transportation</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="1"/>
<ref-count count="65"/>
<page-count count="11"/>
<word-count count="8554"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1. Introduction</title>
<p>Small island communities are highly vulnerable to major energy supply disruptions as a result of their remoteness, size, and susceptibility to natural disasters (Briguglio, <xref ref-type="bibr" rid="B6">1995</xref>). As expanding tourism (Izurieta, <xref ref-type="bibr" rid="B34">2017</xref>) has brought rapid urbanization to many of these communities, reliable green energy supply has come to play a more central concern for the socioeconomic growth of island systems (Wolf et al., <xref ref-type="bibr" rid="B64">2016</xref>). For the majority of island nations, the energy grid heavily relies on imported diesel for electricity generation, which leaves local economies vulnerable to supply disruptions, price volatility in global oil markets and the consequences of oil spills (Phuangpornpitak and Kumar, <xref ref-type="bibr" rid="B54">2011</xref>). However, there is increasing consensus that island nations can champion livelihood resilience and more sustainable adaptation by taking the lead in developing their own energy independence from fossil fuels (Notton, <xref ref-type="bibr" rid="B50">2015</xref>).</p>
<p>Despite abundant resources and rapidly dropping costs, only a small fraction of electricity is still produced from solar energy globally (Lewis and Nocera, <xref ref-type="bibr" rid="B43">2006</xref>). A significant barrier to adoption for many governments of developing nations is the upfront cost of conducting a detailed evaluation of technical and economic potential (Castellanos et al., <xref ref-type="bibr" rid="B11">2017</xref>). Previous studies have demonstrated that preliminary technical knowledge of specialized modeling methods, which use expensive data such as Light Detection and Ranging (LiDAR), can deter further investments in renewable energy (Mirza et al., <xref ref-type="bibr" rid="B48">2009</xref>; Karatayev et al., <xref ref-type="bibr" rid="B38">2016</xref>; Yaqoot et al., <xref ref-type="bibr" rid="B65">2016</xref>). While several photovoltaic (PV) modeling tools have been recently developed, many use 3D mapping technologies including LiDAR and high-quality satellite imagery that are expensive to obtain and complex to utilize. Moreover, despite increasing accuracy of remote and aerial sensing, data and modeling tools still lag for locations outside major cities and densely-populated areas (Carl, <xref ref-type="bibr" rid="B9">2014</xref>).</p>
<p>In Ecuador, solar energy has represented only a small portion of its electric energy source despite abundant solar resources available. Previous studies assessing solar potential in the country have found that the Gal&#x000E1;pagos Islands are one of the most suitable areas for development because they receive one of highest solar radiation in the country (Cevallos-Sierra and Ramos-Martin, <xref ref-type="bibr" rid="B13">2018</xref>; Garc&#x00301;&#x00131;a et al., <xref ref-type="bibr" rid="B25">2019</xref>). Most of the limited number of solar studies in Ecuador are focused on the mainland and highly urbanized areas (Albarracin, <xref ref-type="bibr" rid="B2">2017</xref>; Icaza et al., <xref ref-type="bibr" rid="B32">2021</xref>). To our knowledge, there is no study specifically evaluating the solar potential of the Gal&#x000E1;pagos Islands, which is a region that has the potential to greatly benefit tapping their from plentiful solar resources.</p>
<p>In order to mitigate these challenges, this study quantifies the potential of rooftop PV systems using inexpensive and readily available data. We adopt the Galapagos Islands as a case study because it is an iconic ecosystem experiencing rapid urbanization from exploding tourism and economic development.</p>
<p>Isolated 1,000 km off the coast of Ecuador, the Gal&#x000E1;pagos Islands have no native sources of fossil fuel energy and depend heavily on imported diesel fuel from the mainland as the basis for their electricity generation (Jacome, <xref ref-type="bibr" rid="B36">2007</xref>; Apolo et al., <xref ref-type="bibr" rid="B4">2019</xref>). With a residential population of 30,000 and over 200,000 annual tourists providing a vital source of income to local populations and the nation, rapid urbanization has made electric energy demand a pressing concern for the long-term sustainability of the islands (Apolo et al., <xref ref-type="bibr" rid="B4">2019</xref>; Kvan and Karakiewicz, <xref ref-type="bibr" rid="B40">2019</xref>). The current electric consumption of the entire archipelago is 52,792 MWh per year with a majority of production from fossil fuels comprised of virtually all diesel at 84.2%, followed by 11.3% wind and 4.5% solar power (<xref ref-type="fig" rid="F1">Figure 1</xref>) (Granda, <xref ref-type="bibr" rid="B27">2019</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Existing energy sources used for electricity generation on the Gal&#x000E1;pagos Islands in 2018. Fossil fuels comprise the majority of electricity generation on the islands at around 44,450 MWh out of the 52,792 MWh produced total (84.2%) (Granda, <xref ref-type="bibr" rid="B27">2019</xref>).</p></caption>
<graphic xlink:href="frsc-03-632109-g0001.tif"/>
</fig>
<p>Historically, the Ecuadorian government has subsidized diesel fuel to ensure a minimum standard of living and to compensate Gal&#x000E1;pagos residents for the isolation and restrictions associated with living in a remote protected area (Jacome, <xref ref-type="bibr" rid="B36">2007</xref>). Yet, these subsidies result in high public costs, economic inefficiencies, hide externalities, and distort markets that result in unregulated growth (Watkins and Cruz, <xref ref-type="bibr" rid="B62">2007</xref>). Between 2003 and 2015, the electricity consumption on San Crist&#x000F3;bal Island alone increased by 275% and is projected to rapidly increase into 2024 (Vintimilla et al., <xref ref-type="bibr" rid="B61">2016</xref>).</p>
<p>As diesel must be transported to the Gal&#x000E1;pagos by sea, fossil fuels have proven to be an unreliable energy source that compromise the ecological integrity and economic resiliency of the islands. For instance, in 2001, the Jessica oil tanker hit a reef and spilled three million liters of oil into the pristine marine reserve while delivering fuel from the mainland (Edgar et al., <xref ref-type="bibr" rid="B19">2002</xref>). The spill was considered one of the worst marine disasters the Gal&#x000E1;pagos history, triggering an international initiative to transition the Gal&#x000E1;pagos away from fossil fuels.</p>
<p>In 2007, the Ecuadorian and Gal&#x000E1;pagos governments put forward the &#x0201C;Zero Fossil Fuel Gal&#x000E1;pagos Initiative&#x0201D;, which aims to eradicate the use of petroleum-derived fuels. The original goals set out to produce 100% renewable energy by 2020 using mostly biofuels and wind (Carvajal, <xref ref-type="bibr" rid="B10">2012</xref>). Since then, several renewable energy projects were initiated with investment from the United Nations Development Programme, and the Ecuadorian, German, and South Korean governments. Despite these efforts, the archipelago still struggles to meet their energy goals as fossil fuels continue to generate 84% of the current electricity consumed (Granda, <xref ref-type="bibr" rid="B27">2019</xref>).</p>
<p>A major renewable energy generation project is the San Crist&#x000F3;bal Wind Project, which erected three diesel-wind hybrid turbines. Its development illustrates some of the real world challenges to green energy production in the Islands. Although wind power has yielded some production capacity, the site was placed at a less than optimal location to avoid bird collisions with the endangered Gal&#x000E1;pagos Petrel nesting in the area. In addition to an expensive 12 km transmission line required to transport the generated energy to the utility grid, investment costs remain disproportionately high (Lahmeyer International GmbH, <xref ref-type="bibr" rid="B41">2006</xref>). Overall, and despite good environmental conditions, onshore wind systems remain a costly and unreliable option for expanding renewable energy production in harmony with the Island&#x00027;s fragile ecosystems. Further, the expansion plan for electricity generation does not indicate wind projects to be undertaken in the future (Chumo et al., <xref ref-type="bibr" rid="B14">2018</xref>). Several recent papers point to a diesel/PV/wind/battery hybrid system as the most economical and environmentally friendly solution (Benalcazar et al., <xref ref-type="bibr" rid="B5">2020</xref>; Eras-Almeida et al., <xref ref-type="bibr" rid="B22">2020</xref>). In the Gal&#x000E1;pagos, solar and wind resources are also complementary and negatively correlated in time such that a hybrid system can help overcome fluctuations in different energy resources (Eras-Almeida et al., <xref ref-type="bibr" rid="B22">2020</xref>). Thus, PV is the most feasible renewable energy alternative to satisfy additional demand (Eras-Almeida et al., <xref ref-type="bibr" rid="B22">2020</xref>).</p>
<p>While major projects include the construction of 1 MW solar fields on Santa Cruz and Isabela Islands, there is a conflict between protected areas and land available for renewable energy generation (Eras-Almeida et al., <xref ref-type="bibr" rid="B22">2020</xref>). Land open to human development is extremely constrained by design in the Islands, with over 97% of the total land area being strictly protected as Gal&#x000E1;pagos National Park. The large land area required may result in land use changes with undesirable impacts to biodiversity and ecological health (Hernandez et al., <xref ref-type="bibr" rid="B29">2014</xref>). Thus, to protect their treasured ecosystems, the Gal&#x000E1;pagos must find alternative sources of renewable energy that maintain their environmental integrity.</p>
<p>The Gal&#x000E1;pagos Provincial Government&#x00027;s &#x0201C;Gal&#x000E1;pagos Development and Land Use Plan&#x0201D; highlights expanding renewable energy and clean transportation as its major development goals (Granda, <xref ref-type="bibr" rid="B27">2019</xref>). Given strict land protection policies, we evaluate here the alternative of using the rooftop solar potential of the existing built environment in the Islands, which is a largely untapped source for renewable energy generation (Granda, <xref ref-type="bibr" rid="B27">2019</xref>). By making use of existing urban space on rooftops, further land uses are avoided, also helping reduce the costs of expensive transmission infrastructure required by wind turbines (Gagnon et al., <xref ref-type="bibr" rid="B24">2016</xref>) or solar farms. In addition to residential consumption, we estimate the solar energy potential required to meet the current transportation demand in the islands, assuming that all registered vehicles are replaced with electric motorcycles and cars. This is a desirable scenario outlined by the local government. Policies are already underway to strictly control imports of new vehicles in favor of replacing gasoline with electric vehicles (Granda, <xref ref-type="bibr" rid="B27">2019</xref>).</p>
<p>Rooftop PV modeling tools vary widely in their data inputs and capabilities, making some better suited for analysis at certain locations than others (Freitas et al., <xref ref-type="bibr" rid="B23">2015</xref>). For a robust evaluation, typical inputs include the amount of solar radiation at the location, area, shading, slope, and aspect of the building which are laborious to measure manually (Carl, <xref ref-type="bibr" rid="B9">2014</xref>). To automate this process on urban scales, LiDAR is an aerial mapping technology which uses airborne laser sensors to extract the 3D surface structure of buildings.</p>
<p>While this approach has become the preferred method currently for PV potential estimations, LiDAR data collection still requires expensive airborne procedures and technology. Consequently, most tools are based on existing data generated for the US or Europe, leaving large parts of the world without coverage (Lee et al., <xref ref-type="bibr" rid="B42">2019</xref>). For instance, Mapdwell (Mapdwell LLC, <xref ref-type="bibr" rid="B45">2020</xref>) and Google&#x00027;s Project Sunroof (Google, <xref ref-type="bibr" rid="B26">2020</xref>) tools both use LiDAR data but estimates are mostly limited to the US and to populous cities.</p>
<p>There are a few existing tools with greater international capabilities. However, the lack of ground-based measurement remains a challenge for less developed countries (Psomopoulos et al., <xref ref-type="bibr" rid="B56">2015</xref>; Olomiyesan and Oyedum, <xref ref-type="bibr" rid="B53">2016</xref>). The Global Solar Atlas (Solargis and World Bank Group, <xref ref-type="bibr" rid="B60">2020</xref>) notes that while its data are the most accurate currently available, they are not yet fully validated due to limited measurement stations. For similar reasons, the Photovoltaic Geographical Information System (PVGIS) (Joint Research Centre, <xref ref-type="bibr" rid="B37">2020</xref>) can calculate PV potential around the globe but is not currently available for large parts of South America, Eurasia, Australia, and Polynesia. The US National Renewable Energy Laboratory (NREL) developed PVWatts (NREL, <xref ref-type="bibr" rid="B51">2018</xref>) which calculates PV potential at any location globally but its strength is mainly confined within US borders. As a recent comparative study demonstrated, PVGIS has relatively greater accuracy at the international locations with greater data availability (Psomopoulos et al., <xref ref-type="bibr" rid="B56">2015</xref>).</p>
<p>As a remote and isolated archipelago, the Gal&#x000E1;pagos Islands are characterized by a lack of accurate data coverage and measuring ability. Here, we show how to use open-source, inexpensive, and readily obtainable data, including real world benchmarks from existing installations, in combination with a generalized calculation method to estimate the PV potential for the archipelago.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>2. Materials and Methods</title>
<p>Only four of the 13 larger islands in the Gal&#x000E1;pagos archipelago are inhabited. We chose the two largest settlements for our case studies, Puerto Baquerizo Moreno on San Crist&#x000F3;bal Island and Puerto Ayora on Santa Cruz Island, with a permanent population of almost seven thousand and 15 thousand in 2015, respectively (Andrade and Ferri, <xref ref-type="bibr" rid="B3">2019</xref>). Both settlements have a fast growing population (Epler, <xref ref-type="bibr" rid="B21">2007</xref>; Kvan and Karakiewicz, <xref ref-type="bibr" rid="B40">2019</xref>) and projected increasing electric energy demands (Vintimilla et al., <xref ref-type="bibr" rid="B61">2016</xref>). In this study, energy demand refers to the electricity demand used annually to meet the power needed by all customers, including both residents and tourists. The climate of the Islands is characterized as tropical and semi-arid with temperatures ranging 18&#x02013;27&#x000B0; Celsius throughout the dry and wet seasons. Due to its location near the equator, the archipelago receives high annual solar radiation and has therefore substantial potential for harnessing solar energy (Garc&#x00301;&#x00131;a et al., <xref ref-type="bibr" rid="B25">2019</xref>) for its local uses, though some variability due to weather is also typical.</p>
<p>The majority of buildings in both settlements have flat roofs built as a concrete slab, in a way that is typical of warmer climates where there is less rainfall and no freezing temperatures (Kvan and Karakiewicz, <xref ref-type="bibr" rid="B40">2019</xref>; Mapillary, <xref ref-type="bibr" rid="B46">2020</xref>). <xref ref-type="fig" rid="F2">Figure 2</xref> is street level imagery from the open source software Mapillary that demonstrates the prevalence of the flat roof design across the Gal&#x000E1;pagos Islands. In contrast to sloped roofs, a flat roof is nearly level and has a low pitch of approximately 10&#x000B0;. Flat roofs are particularly attractive for solar PV installation in equatorial regions because the optimal tilt of panels is approximately 0&#x000B0; and a tilt mount is not required (Jacobson and Jadhav, <xref ref-type="bibr" rid="B35">2018</xref>). As a result of low building heights, and the flat roof design, there is also minimal shading of the roofs as displayed in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Street level imagery of building topography from Mapillary open source software. The images on the software demonstrate the flat roof design that is highly prevalent on the Gal&#x000E1;pagos. (Mapillary, <xref ref-type="bibr" rid="B46">2020</xref>).</p></caption>
<graphic xlink:href="frsc-03-632109-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Aerial view imagery of Puerto Ayora on the Gal&#x000E1;pagos Islands. The image demonstrates the building topography of the prevalent flat roof design and low buildings that have minimal shading effects. (Microsoft Bing, <xref ref-type="bibr" rid="B47">2021</xref>).</p></caption>
<graphic xlink:href="frsc-03-632109-g0003.tif"/>
</fig>
<p>Therefore, we use recently generated area data for the full set of building footprints in each island as a proxy for total area available for solar development with the assumption that installed solar panels will lay flat. We will express solar requirements for powering present and future energy consumption in the Islands as a fraction of this area.</p>
<p>PV potential requirements can be estimated using several different methods that take into consideration local parameters such as panel tilt, efficiency, losses during conversion, solar radiation, and rooftop area (Carl, <xref ref-type="bibr" rid="B9">2014</xref>). We use a simple equation 1, developed by the US National Renewable Energy Laboratory (NREL), to incorporate these various factors and calculate the annual PV system output for both Puerto Baquerizo Moreno and Puerto Ayora (Environmental Protection Agency, <xref ref-type="bibr" rid="B20">2017</xref>; NREL, <xref ref-type="bibr" rid="B51">2018</xref>, <xref ref-type="bibr" rid="B52">2020</xref>). Equation 1 uses conservative estimates when it is combined with NREL&#x00027;s Annual Technology Baseline tool (NREL, <xref ref-type="bibr" rid="B52">2020</xref>) to determine the relevant factors.</p>
<p>The annual energy produced by a photovoltaic systems, <italic>E</italic><sub>yr</sub>, is then given by</p>
<disp-formula id="E1"><label>(1)</label><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>E</mml:mi></mml:mrow><mml:mrow><mml:mtext>yr</mml:mtext></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi>A</mml:mi><mml:mo>*</mml:mo><mml:mi>r</mml:mi><mml:mo>*</mml:mo><mml:mi>H</mml:mi><mml:mo>*</mml:mo><mml:msub><mml:mrow><mml:mi>P</mml:mi></mml:mrow><mml:mrow><mml:mi>r</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where <italic>A</italic> is the total rooftop area, <italic>r</italic> is the solar panel efficiency (a dimensionless number), <italic>H</italic> is the annual average solar radiation on tilted panels, and <italic>P</italic><sub><italic>r</italic></sub> is performance ratio of the panels (another dimensionless number).</p>
<p>Typical poly-crystalline or mono-crystalline silicon modules have a (fast improving) solar panel efficiency, <italic>r</italic> of about 15%. This number accounts for the portion of incident sunlight that is converted into electric energy (Dobos, <xref ref-type="bibr" rid="B18">2014</xref>; Environmental Protection Agency, <xref ref-type="bibr" rid="B20">2017</xref>; NREL, <xref ref-type="bibr" rid="B52">2020</xref>). Similarly, we use a typical performance ratio, <italic>P</italic><sub><italic>r</italic></sub>, of 86% for a current typical PV system. This describes energy losses of the operational systems due to inverter and transformer efficiency limitations, mismatch losses, diodes and connections, DC and AC wiring, soiling and system availability (Environmental Protection Agency, <xref ref-type="bibr" rid="B20">2017</xref>; NREL, <xref ref-type="bibr" rid="B52">2020</xref>). Since the performance ratio is location and climate dependent, a value of 0.86 was used after taking the median of the monthly performance ratios from solar panels in five different Peruvian cities (Camarena-Gamarra et al., <xref ref-type="bibr" rid="B8">2020</xref>). Since Ecuador and Peru are located next to each other in South America and near the equator, the study provides location specific support for the chosen <italic>P</italic><sub><italic>r</italic></sub>. To account for differences in weather, we further supported this parameter choice with a wind-corrected performance ratio study because the Gal&#x000E1;pagos Islands are in a windy location with average monthly wind speeds of 4.4 m/s from January to April and 6.7 m/s for the other months of the year (Dierauf et al., <xref ref-type="bibr" rid="B17">2013</xref>; Hu et al., <xref ref-type="bibr" rid="B31">2015</xref>). In the study, the <italic>P</italic><sub><italic>r</italic></sub> for locations with a higher annual wind speed of &#x0003E; 3 m/s was 0.86, which additionally provided climate specific support for our chosen performance ratio (Dierauf et al., <xref ref-type="bibr" rid="B17">2013</xref>). To account for variation in performance ratio, we additionally include estimates in <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref> for the upper and lower boundary (0.9 and 0.7, respectively) of annual performance ratios, as found in a study for 100 PV systems in Germany and five in Peru (Reich et al., <xref ref-type="bibr" rid="B57">2012</xref>; Camarena-Gamarra et al., <xref ref-type="bibr" rid="B8">2020</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>PV potential estimates for 2018.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>P<sub><italic>r</italic></sub></bold></th>
<th valign="top" align="left"><bold>Rooftop area fraction</bold></th>
<th valign="top" align="center"><bold>Puerto Baquerizo</bold></th>
<th valign="top" align="center"><bold>Puerto</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Moreno</bold></th>
<th valign="top" align="center"><bold>Ayora</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">0.70</td>
<td valign="top" align="left">To sustain energy consumption</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">To sustain energy &#x00026; transportation demand</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">0.86</td>
<td valign="top" align="left">To sustain energy consumption</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">To sustain energy &#x00026; transportation demand</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.47</td>
</tr>
<tr>
<td valign="top" align="left">0.90</td>
<td valign="top" align="left">To sustain energy consumption</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">To sustain energy &#x00026; transportation demand</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.45</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The minimum energy required to sustain electricity demand for Puerto Baquerizo Moreno and Puerto Ayora is 17 million kWh and 27 million kWh, respectively. To sustain both electricity and energy from transportation if all vehicles are electrified, the minimum energy required to sustain electricity demand for Puerto Baquerizo Moreno and Puerto Ayora is 30 million kWh and 48 million kWh, respectively</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Projections of PV potential estimates for 2024.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>P<sub><italic>r</italic></sub></bold></th>
<th valign="top" align="left"><bold>Rooftop area fraction</bold></th>
<th valign="top" align="center"><bold>Puerto Baquerizo</bold></th>
<th valign="top" align="center"><bold>Puerto</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Moreno</bold></th>
<th valign="top" align="center"><bold>Ayora</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">0.70</td>
<td valign="top" align="left">To sustain energy consumption</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.47</td>
</tr>
<tr>
<td valign="top" align="left">0.86</td>
<td valign="top" align="left">To sustain energy consumption</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left">0.90</td>
<td valign="top" align="left">To sustain energy consumption</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.36</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The minimum energy required to sustain electricity demand for Puerto Baquerizo Moreno and Puerto Ayora is 25 million kWh and 38 million kWh, respectively</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>To obtain an estimate of the Gal&#x000E1;pagos average annual solar radiation, <italic>H</italic>, we use the Global Solar Atlas (Solargis and World Bank Group, <xref ref-type="bibr" rid="B60">2020</xref>). This parameter accounts for the solar electromagnetic energy reaching the Earth&#x00027;s surface. Incident solar radiation energy is heavily dependent on location, as its intensity depends on the tilt of the sun, the season, and time of day. For our case study, the average annual solar radiation is estimated to be 2045 kWh/m<sup>2</sup> at a spatial resolution of nominally 1 km (Solargis and World Bank Group, <xref ref-type="bibr" rid="B60">2020</xref>), but see <xref ref-type="fig" rid="F4">Figure 4</xref> for disaggregated daily traces and their variability. While the Ecuadorian government produces a Solar Atlas called CONELEC, it does not cover solar radiation data that includes the Gal&#x000E1;pagos Islands (Consejo Nacional de Electricidad, <xref ref-type="bibr" rid="B16">2017</xref>). Comparing the values of Global Solar Atlas with CONELEC, we find that these two different data sources are generally in good agreement. Taking Quito as an example, the solar radiation cited is 5.4 kWh/m<sup>2</sup>/day in Global Solar Atlas compared to 5.5 kWh/m<sup>2</sup>/day in CONELEC (Consejo Nacional de Electricidad, <xref ref-type="bibr" rid="B16">2017</xref>; Solargis and World Bank Group, <xref ref-type="bibr" rid="B60">2020</xref>). Having checked the compatibility of values with government data, we chose the Global Solar Atlas to obtain radiation values for the Gal&#x000E1;pagos Islands.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Average incident daily solar radiation (green) on the Gal&#x000E1;pagos Islands for 2018 compared to the average annual solar radiation used in our baseline solar panel calculations. The shaded area shows the one standard deviation around the average annual solar radiation value of 5.6 kWh/m<sup>2</sup>/day <bold>(A)</bold>. Worst case scenarios of lowest average daily solar radiation per number of consecutive days over 2018 (gray) and average of lowest 20% for each period. The shaded area shows the standard deviation around the mean for the worst 20% <bold>(B)</bold>. (NASA, <xref ref-type="bibr" rid="B49">2020</xref>).</p></caption>
<graphic xlink:href="frsc-03-632109-g0004.tif"/>
</fig>
<p>To estimate the total rooftop area, <italic>A</italic>, we use building footprints provided by the Gal&#x000E1;pagos Provincial Government. <xref ref-type="fig" rid="F5">Figure 5</xref> depicts the map of these footprints for both case studies, in Puerto Baquerizo Moreno, the political capital of the archipelago, and in Puerto Ayora, its largest urban settlement.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Building footprints (dark green polygons) of Puerto Ayora <bold>(A)</bold> and Puerto Baquerizo Moreno <bold>(B)</bold>. Puerto Ayora is a larger settlement with more urban sprawl but smaller buildings compared with Puerto Baquerizo Moreno.</p></caption>
<graphic xlink:href="frsc-03-632109-g0005.tif"/>
</fig>
<p>In both settlements, a few local small-scale PV systems already exist providing us with ground truth performance metrics. One system is operated by the Universidad San Francisco de Quito (USFQ) on San Crist&#x000F3;bal Island and another by the Charles Darwin Research Station (CDRS) in Puerto Ayora. We use the data for system performance from both installations for comparison and validation of our estimates. The solar panels at USFQ provide an especially good baseline, since we have access to performance reports for all months in 2018 with daily, monthly, and annual data timeseries.</p>
<p>In order to estimate the solar energy potential required to electrify the current transportation demand, we use data from the Gal&#x000E1;pagos Provincial Government (Granda, <xref ref-type="bibr" rid="B27">2019</xref>) on the total number of registered motorcycles and cars (see <xref ref-type="table" rid="T3">Table 3</xref>). Puerto Baquerizo Moreno had 501 registered motorcycles and 444 registered cars in 2019. The larger urban settlement of Puerto Ayora has 611 registered motorcycles and 715 cars. In order to calculate the energy demand for a complete electrification of the archipelago, including transportation, we use selected electric vehicles that correspond to the local speed requirements for the uneven roads and distance requirements for taxi drivers that typically make longer travel than average residents (Clairand et al., <xref ref-type="bibr" rid="B15">2018</xref>). The selected models are the Z Electric Vehicle (ZEV) model S-4100 for motorcycles and Kia Soul EV for cars based on previous literature (Clairand et al., <xref ref-type="bibr" rid="B15">2018</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Number of registered motor vehicles in 2018 (Granda, <xref ref-type="bibr" rid="B27">2019</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Vehicle type</bold></th>
<th valign="top" align="center"><bold>Puerto Baquerizo Moreno</bold></th>
<th valign="top" align="center"><bold>Puerto Ayora</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Motorcycles</td>
<td valign="top" align="center">501</td>
<td valign="top" align="center">611</td>
</tr>
<tr>
<td valign="top" align="left">Cars</td>
<td valign="top" align="center">444</td>
<td valign="top" align="center">715</td>
</tr>
</tbody>
</table>
</table-wrap></sec>
<sec sec-type="results" id="s3">
<title>3. Results</title>
<p>Comparing the estimated result of the theoretical panels using the best parameter choices described in Materials and Methods we find that the estimated PV generation per square meter in kWh/m<sup>2</sup> is slightly higher than the actual PV installed systems on both islands. Specifically, we estimate a potential output per unit area of 264 kWh/m<sup>2</sup> compared to the USFQ Gal&#x000E1;pagos Campus panels that yielded 218 kWh/m<sup>2</sup> and the Charles Darwin Research Station which yielded 240 kWh/m<sup>2</sup>. These differences are likely due to the age of the installed panel systems, and their initial lower efficiency relative to newer technology.</p>
<p>While the two case study areas vary greatly in population size, they have comparable total rooftop surface areas of 324 thousand m<sup>2</sup> and 393 thousand m<sup>2</sup> for Puerto Baquerizo Moreno and Puerto Ayora, respectively (see <xref ref-type="table" rid="T4">Table 4</xref>). This similarity can be explained by the different functions of the two settlements in the archipelago, and is expressed in the building statistics. Puerto Ayora has a far greater number of buildings: 4677 compared to 2710 in Puerto Baquerizo Moreno. However, Puerto Baquerizo Moreno has a higher mean and median surface area per building than Puerto Ayora. The standard deviation of the rooftop surface area per building is far greater in Puerto Baquerizo Moreno with 146 m<sup>2</sup> compared to Puerto Ayora (101 m<sup>2</sup>). Puerto Baquerizo Moreno is the local capital and home to the largest hospital, a naval military base and other government services, and thus some larger buildings with larger roof space, which are natural targets for solar installations. Puerto Ayora, however, is the main entry point for tourists and has many more residential buildings and small hotels.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Building statistics.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Puerto Baquerizo</bold></th>
<th valign="top" align="center"><bold>Puerto</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Moreno</bold></th>
<th valign="top" align="center"><bold>Ayora</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total rooftop area (m<sup>2</sup>)</td>
<td valign="top" align="center">323,968</td>
<td valign="top" align="center">392,728</td>
</tr>
<tr>
<td valign="top" align="left">Building count</td>
<td valign="top" align="center">2,710</td>
<td valign="top" align="center">4,677</td>
</tr>
<tr>
<td valign="top" align="left">Building mean area (m<sup>2</sup>)</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">84</td>
</tr>
<tr>
<td valign="top" align="left">Building median area (m<sup>2</sup>)</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">67</td>
</tr>
<tr>
<td valign="top" align="left">Standard deviation (m<sup>2</sup>)</td>
<td valign="top" align="center">146</td>
<td valign="top" align="center">101</td>
</tr>
<tr>
<td valign="top" align="left">Annual energy consumption (kWh)</td>
<td valign="top" align="center">17,456,528</td>
<td valign="top" align="center">27,087,647</td>
</tr>
<tr>
<td valign="top" align="left">Per capita energy consumption (kWh/person)</td>
<td valign="top" align="center">1895</td>
<td valign="top" align="center">1817</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The annual energy demand for Puerto Baquerizo Moreno in 2018 is an estimated 17 million kWh. As all parameters, except for the area of solar panel coverage, <italic>A</italic>, in equation 1, are known or measured, we can solve for the required area of PV required to meet this total energy demand. The minimum proportion of rooftop surface area coverage needed for solar energy production to meet demand is about 21% of all buildings with calculated performance ratio boundaries of [0.20, 0.26] (see <xref ref-type="table" rid="T1">Table 1</xref>). In Puerto Ayora, the energy demand in 2018 was estimated to be 25 million kWh. The minimum proportion of surface rooftop area coverage needed for solar energy production to meet demand is about 27% [0.25, 0.33] of all buildings, due to a larger population and smaller rooftop surface area per capita.</p>
<p>We further calculated the PV requirements for 2024 in Puerto Baquerizo Moreno, based on a projection of about 25 million kWh (Vintimilla et al., <xref ref-type="bibr" rid="B61">2016</xref>). To meet this energy demand expansion, about 30% [0.28, 0.36] of the <italic>current</italic> total rooftop area would be required to be covered by solar panels (<xref ref-type="table" rid="T2">Table 2</xref>). Additionally, Puerto Ayora had a projected future energy demand of about 39 million kWh in 2024. In order to meet this future demand, 38% [0.36, 0.47] of the current total rooftop area would be required for solar panel coverage.</p>
<p>One of the main sustainability goals in the Gal&#x000E1;pagos Islands in the context of its urbanization is to fully electrify local transportation. Currently, an average combustion engine vehicle in the Gal&#x000E1;pagos Islands travels about 20,000 <italic>km</italic>/<italic>year</italic>, using an average of 17.21 liters of gasoline per 100 km (Granda, <xref ref-type="bibr" rid="B27">2019</xref>). To compensate this energy demand with solar energy production of the selected car and motorcycle models, we estimate that the proportion of minimum rooftop area coverage increases to 36% [0.35, 0.44] for Puerto Baquerizo Moreno and 47% [0.45, 0.57] for Puerto Ayora (<xref ref-type="table" rid="T2">Table 2</xref>). This leads to an estimated energy production potential for each urban center of about 30 million kWh and 48 million kWh, respectively.</p>
<p>Finally, it is important to estimate the reliability of solar radiation, and the need to plan sufficient energy production overcapacity and/or storage for achieving uninterrupted service. A certain amount of energy storage is always necessary when relying on local solar production to supply consumption during the night. However, we would like to estimate how much additional storage or additional capacity should be planned to deal with weather events that reduce production over longer periods of time, especially on the time scale of a few days.</p>
<p><xref ref-type="fig" rid="F4">Figure 4A</xref> shows the daily variation of incident solar energy available for rooftop production during the entire year of 2018. This figure displays solar radiation data for the Gal&#x000E1;pagos Islands from the NASA POWER database (NASA, <xref ref-type="bibr" rid="B49">2020</xref>). Despite the absence of seasonality, equatorial regions such as the Gal&#x000E1;pagos experience extended rainy periods with greater cloud cover, which typically occurs between June and October. We also see substantial short-term variation in incident radiation on the time scale of hours to days.</p>
<p>To appreciate these facts, the annual mean incident solar energy assumed in our calculations above is shown as the green line in <xref ref-type="fig" rid="F4">Figure 4A</xref>, where the shaded area shows one standard deviation (67% confidence interval). We see that there is a relatively large daily variation, on top of a seasonal drop during the summer months. We also show the daily solar radiation for the worst period of one, two, etc., days (<xref ref-type="fig" rid="F4">Figure 4B</xref>), which accounts for the worst possible case with a given time duration. This shows that the worst day corresponds to as little as 50% of the annual average, but that the worst daily average over a few days quickly rises to approach about 80% of the annual mean for about a 10 day period or longer. These time periods with very low radiation are rare events as the average and the standard deviation of the worst 20% actual consecutive days shows.</p>
<p>These temporary drops in production will require additional production capacity or, more conventionally, back up from other sources or storage. This could take the form of other energy generating sources, including wind and existing diesel, and/or storage, such as batteries, including possibly those in vehicles.</p>
<p>Consideration of these hedging factors toward uninterrupted renewable energy supply are not likely to be essential during the initial expansion of solar energy production, where existing fossil fuel and wind can be managed to compensate for periods of lower solar generation. They will however become critical to make these communities resilient if and when total energy consumption becomes dependent on (nearly) 100% solar generation.</p></sec>
<sec id="s4">
<title>4. Discussion and Conclusions</title>
<p>To reach the goal of clean, fossil fuel free, and self-sustained energy production in the Gal&#x000E1;pagos Islands, solar energy production is a natural and viable choice due to the location of the Islands close to the equator. However, space for land development is very limited in the archipelago, as only about 3% of the total area is available for urban uses due to land regulation laws linked to natural preservation. This land scarcity limits the development of large-scale ground mounted PV systems with sufficient capacity to meet the current or future energy demands of the archipelago&#x00027;s population. Other sources of renewable energy production, such as onshore wind, also pose substantial challenges to the ecology, infrastructure and financial development of these remote communities. We quantified here the energy potential of rooftop PV installations on the recently mapped, existing urban fabric of the Gal&#x000E1;pagos Islands and found that it can be used in principle to satisfy most human energy consumption in the archipelago.</p>
<p>To overcome the knowledge and financial burden of conducting detailed assessments for remote areas, we provide a simple, streamlined method to estimate solar panel coverage and potential that is comparable to actual solar panel data existing on the islands. As more capacity is installed, model parameters can be updated to reflect ground truth in performance, as we started to do here.</p>
<p>Specifically, we found that the two major urban centers of the Gal&#x000E1;pagos, Puerto Baquerizo Moreno on San Crist&#x000F3;bal Island and Puerto Ayora on Santa Cruz Island, have estimated total solar energy production potentials of about 4.8 and 3.7 times their current local energy demand, respectively. To satisfy present energy demand, 21% (Puerto Baquerizo Moreno) and 27% (Puerto Ayora) of rooftop area would suffice for each urban settlements, using only rooftop PV installations (<xref ref-type="table" rid="T1">Table 1</xref>). Land transportation accounts for more than 40% of the total energy use on the islands. Thus, for a complete electrification of transportation on the islands, an additional 15% and 20% of rooftop area would be necessary to meet those additional energy demands based on 2018 energy consumption (<xref ref-type="table" rid="T1">Table 1</xref>). A complete self-sustained, emission free energy production with solar roof installations is therefore possible using less than half the existing roof surface, specifically 36% and 47% of total rooftop area with current panel technology in Puerto Baquerizo Moreno and Puerto Ayoro, respectively (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>The notable differences between the two islands arise for two reasons. The first is the difference in population sizes. Puerto Ayora has a significantly larger population than Puerto Baquerizo Moreno, 15.4 thousand and 7 thousand in 2015 (Andrade and Ferri, <xref ref-type="bibr" rid="B3">2019</xref>). However, the former has only a marginally higher total rooftop area than the latter (see <xref ref-type="table" rid="T4">Table 4</xref>). Our results demonstrated that Puerto Baquerizo Moreno has a higher mean, median, and standard deviation for area per building. These statistics reveal that the buildings have a relatively larger surface area in Puerto Baquerizo Moreno than in Puerto Ayora. Since energy production is dependent on area (see Equation 1), this suggests that Puerto Baquerizo Moreno has a higher production potential. Notably, the per capita production is significantly higher in Puerto Baquerizo Moreno because it has nearly half the population of Puerto Ayora and rooftop area is larger on average per building. The main contribution to the PV potential in buildings is the available roof area (Izquierdo et al., <xref ref-type="bibr" rid="B33">2008</xref>), even when shading effects are taken into consideration (Karteris et al., <xref ref-type="bibr" rid="B39">2013</xref>). Given that most of the large roofed buildings are government or non-privately owned buildings, this gives Puerto Baquerizo Moreno a possible head start for the implementation of a publicly-led, self-sustaining, emission free energy production.</p>
<p>As for most remote archipelagos, data availability is limited on the Gal&#x000E1;pagos Islands. To our knowledge, there exists no tool that provides consistent estimates for solar energy potentials in these circumstances. Additionally, no comprehensive data exists on the 3D structures of the built environment which would otherwise be extremely costly to obtain.</p>
<p>Thus, we made specific assumptions in order to generate our estimates of PV potential. One important assumption is that the proportion of rooftop area required to be covered by PV systems can feasibly install solar panels. In reality, some of the rooftops may lack the structural integrity to support panels. For instance, corrugated metal roofs observed on both urban centers may be unable to bear the additional load of solar panels. Another barrier is the presence of steel reinforcement bars that local builders often leave exposed in order to continue construction in later years. While a large portion of buildings seem to be strong enough for solar installation (Mapillary, <xref ref-type="bibr" rid="B46">2020</xref>), case-by-case assessments are needed before actual implementation.</p>
<p>An additional challenge to rooftop solar implementation on the Gal&#x000E1;pagos is public perception. In order to install solar panels on privately owned buildings, owners must agree to host them on their roofs. Ecuador is an oil producing country that has low oil prices relative to other countries. Presently, the Ecuadorian government contributes significantly to the supply of fossil fuels and energy generation on the Gal&#x000E1;pagos through an estimated $15.3 million USD in subsidies annually (Jacome, <xref ref-type="bibr" rid="B36">2007</xref>). The incentive for residents not to change building practices, technologies or energy sources may be high due in part to these subsidies. Informal discussions with local residents made us aware of common current misunderstandings of what solar energy is, how it works, and how much it costs. In the Gal&#x000E1;pagos, passive social acceptance by residential and commercial consumers may hinder the adoption of rooftop PV without further financial incentives and trust building (Eras-Almeida et al., <xref ref-type="bibr" rid="B22">2020</xref>).</p>
<p>The implementation of our presented results has several relevant policy implications regarding solar energy incentives, local support, and coordination with local governments. Identifying and collaborating with relevant partners to build community support and participation, including among the informal builders who construct most houses, is essential to help inform what potential implementation barriers exist and how to increase the rapid adoption of rooftop solar (Santos et al., <xref ref-type="bibr" rid="B59">2014</xref>). Firstly, because the Gal&#x000E1;pagos Zero Fossil Fuel Initiative currently has a less robust plan for solar development, our results recommend that the initiative should develop a rooftop PV solar implementation plan that works toward the minimum panel coverage in <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref> to achieve full energy independence. A potential deployment approach could be to first develop rooftop PV on San Crist&#x000F3;bal Island given its higher production potential and larger average rooftop surface area. Secondly, fiscal incentives could be provided at the residential and commercial levels to encourage adoption of solar PV. For instance, electricity subsidies could be redirected from diesel to solar energy for funding the upfront costs of installation. These subsidies could be adjusted in conversation with the Ecuadorian government and the local energy provider, ELECGal&#x000E1;pagos, to maintain the same or lower average electricity cost of US $0.10/kWh to incentivize residents to adopt rooftop PV systems (Llerena-Pizarro et al., <xref ref-type="bibr" rid="B44">2019</xref>). A net metering scheme has been an effective policy choice to motivate residents to adopt solar in countries such as Chile that has socioeconomic and geographic similarities with Ecuador (Watts et al., <xref ref-type="bibr" rid="B63">2015</xref>). Additionally, the flourishing tourist economies of the archipelago and other island communities can create other fiscal incentives and catalyze innovative solutions that harness current frameworks to fund a sustainable transition for the Islands. In the Gal&#x000E1;pagos, a &#x0201C;green tourist tax&#x0201D; model could be applied on airfares to the islands or entrance tickets to the Gal&#x000E1;pagos National Park, which can raise funds that finance renewable energy projects and sustainable tourism. Tourists are more likely to pay an additional tax when improvements in their experiences are indicated and visible (Cetin et al., <xref ref-type="bibr" rid="B12">2017</xref>). Current tourism taxes range from $3 USD for Ecuadorians to $100 USD for international travelers. In a study of the Gal&#x000E1;pagos Islands, visitors were willing to pay an additional $50 USD fee per visit to support carbon emissions reduction initiatives (Powell and Ham, <xref ref-type="bibr" rid="B55">2008</xref>). Other means of financing solar projects include collaboration with international partners. Clean energy investment in low and middle-income nations increased 6% to USD 61.6 billion in 2019, a record high (REN21, <xref ref-type="bibr" rid="B58">2019</xref>). In the Gal&#x000E1;pagos, past investments in clean energy have already involved a number of private and public partnerships with foreign countries, detailed in the Introduction, but have not explored the rooftop potential of the already existing built environment as we propose could be done here. Lastly, joint educational programming from the Ecuador Ministry of the Environment and electric power sector about how rooftop solar energy works could be thoroughly discussed with residents. While there is some engagement and education through the Center of Information on Renewable Energy&#x00027;s museum on Santa Cruz Island and regular government media surrounding sustainability, interventions that are perceived to have an impact on daily living have been historically controversial (Heylings and Cruz, <xref ref-type="bibr" rid="B30">1998</xref>). For instance, new marine protection plans have actively been resisted and protested by local fishers despite the environmental protections offered (Burbano and Meredith, <xref ref-type="bibr" rid="B7">2020</xref>). Because rooftop solar at the scale proposed here would necessarily impact residential buildings, greater solar energy information and education may help build trust between market or state providers and local customers or adopters (Hasnain et al., <xref ref-type="bibr" rid="B28">1998</xref>).</p>
<p>Along with increased investment in more analysis, careful case studies from new installations and collaboration between governments, builders and residents, this study makes the quantitative recommendation that rooftop solar is an extremely promising and appropriate pathway for a sustainable Gal&#x000E1;pagos archipelago over the very short term. Small island communities like the Gal&#x000E1;pagos face a mosaic of growing challenges in a rapidly changing world. These places are global treasures of biodiversity, support vibrant economies, provide memorable experiences for tourism, and nurture heritage and rich cultures for a combined population of 65 million residents (SID, <xref ref-type="bibr" rid="B1">2015</xref>). With growing tourism and urbanization comes a critical need for these communities to transition away from heavy reliance on fossil fuels and mitigate pollution and biodiversity loss. While our study yields promising findings for practical implementation, it is designed as a launching point to estimate rooftop PV potential in an area that has not yet conducted a systemic analysis of this kind. We presented a streamlined and inexpensive methodology to estimate PV potential that can provide valuable information to decision makers and urban planners, especially in areas where the costs of an initial assessment may be a barrier due to their remoteness and a lack of 3D data coverage. These replicable methods can serve as the catalyst for other small island communities to achieve self-sufficiency and build more resilient futures via the development of scalable sustainable urban infrastructure.</p></sec>
<sec sec-type="data-availability-statement" id="s5">
<title>Data Availability Statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here GitHub (<ext-link ext-link-type="uri" xlink:href="https://github.com/mansueto-institute/solarGalapagos">https://github.com/mansueto-institute/solarGalapagos</ext-link>).</p></sec>
<sec id="s6">
<title>Author Contributions</title>
<p>AT and DZ wrote the manuscript and performed analysis. LB wrote the manuscript and designed the study. All authors contributed to the article and approved the submitted version.</p></sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
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<ack><p>We thank the Galapagos International Architecture Studio and especially Jaime L&#x000F3;pez and John Dunn for hosting our team and encouraging this study. We thank Patricia Romero-Lankao and Joshua Sperling at the National Renewable Energy Laboratory&#x00027;s Transportation and Hydrogen Systems Center for discussions and technical guidance. We also thank the Diana Petty at the Mansueto Institute for Urban Innovation and Sabina Shaikh and Alison Anastasio at the Program on the Global Environment at the University of Chicago for their support. This study would not have been possible without the help of Luis Tasipanta from the USFQ Gal&#x000E1;pagos Science Center, who provided us with data from the local PV installation.</p>
</ack>
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<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> Grant funding was received from the University of Chicago Center for Research &#x00026; Fellowships which provided student research grants. The Program on the Global Environment and the Collegiate Social Sciences Division also contributed funding to the research program.</p>
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</article> 