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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Energy Res.</journal-id>
<journal-title>Frontiers in Energy Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Energy Res.</abbrev-journal-title>
<issn pub-type="epub">2296-598X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">735474</article-id>
<article-id pub-id-type="doi">10.3389/fenrg.2021.735474</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Energy Research</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Study on Waste Heat-Driven Refrigeration System for Energy Saving and Fast Cooling of Dust Collector in Monocrystalline Silicon Manufacture</article-title>
<alt-title alt-title-type="left-running-head">Hou and Xu</alt-title>
<alt-title alt-title-type="right-running-head">Ejection Refrigeration Cooling Dust Collector</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hou</surname>
<given-names>Jiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Yingjie</given-names>
</name>
<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/975711/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>School of Mechanical and Energy Engineering, Zhejiang University of Science &#x26; Technology, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>College of Mechanical Engineering, Zhejiang University of Technology, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/975566/overview">Ning Mao</ext-link>, The University of Tokyo, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1215137/overview">Yudong Xia</ext-link>, Hangzhou Dianzi University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1427578/overview">Bicui Ye</ext-link>, Zhejiang Sci-Tech University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yingjie Xu, <email>xuyingjie@zjut.edu.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Process and Energy Systems Engineering, a section of the journal Frontiers in Energy Research</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>09</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>735474</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>08</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Hou and Xu.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Hou and Xu</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Single-crystal silicon is key raw material in photovoltaic industry. In its manufacture, silicon monoxide dust, a byproduct, is collected under vacuum environment. To clean the dust collector, air is recharged into the collector, reacting with the dust and causing very high temperature. Collector components may be damaged. It also takes several hours to cool down. In this paper, a cooling system based on ejection refrigeration cycle is proposed, which collects the reaction heat and simultaneously controls the collector temperature around 100&#xb0;C. Then, it is driven by stored waste reaction heat and cools down the dust to a lower temperature. The designed cooling system, employing a 9.7972&#xa0;m<sup>2</sup> fin-tube heat exchanger, can simultaneously meet the cooling load of four dust collectors with 330L/S capacity. By a thermodynamic model established in this work, performance analysis is carried out. Generating temperature around 73&#xb0;C and evaporating temperature around 6&#xb0;C are recommended for system operation. Results also show the cooling system is able to provide 3270&#xa0;kJ cooling energy that is needed by the collector, for fast cooling down the dust no longer than 620&#xa0;s. It is about 92% shorter than the time of current collector, indicating the cooling system is effective and feasible.</p>
</abstract>
<kwd-group>
<kwd>ejector</kwd>
<kwd>cooling</kwd>
<kwd>single-crystal silicon</kwd>
<kwd>waste heat</kwd>
<kwd>heat driven</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Today, with growing concerns on energy consumption and greenhouse gas emission in residential activity and industry process, the combustion of fossil fuels is restricted (<xref ref-type="bibr" rid="B19">Xu et&#x20;al., 2021a</xref>). Therefore, several renewable energy alternatives have been under consideration. Among them, solar energy is regarded as one of the most promising candidates (<xref ref-type="bibr" rid="B3">Aligolzadeh and Hakkaki-Fard, 2019</xref>), which is mainly utilized with photovoltaic technology. As a result, photovoltaic industry develops very quickly. One of the most important key raw materials in photovoltaic industry is single-crystal silicon (monocrystalline silicon). With the burgeoning photovoltaic industry, there is an increasing demand in high purity single-crystal silicon ingots, to satisfy the need of photovoltaic cell (<xref ref-type="bibr" rid="B12">Kato et&#x20;al., 2021</xref>).</p>
<p>Now, large diameter and high-quality single-crystal silicon ingots are mainly produced from the Czochralski (CZ) process (<xref ref-type="bibr" rid="B15">Qi et&#x20;al., 2020</xref>). Firstly, silicon is melted in the crucible surrounded by annular heaters. Secondly, the seed crystal mounted at the end of pulling rod is pulled upward (<xref ref-type="bibr" rid="B1">Bukhari et&#x20;al., 2019</xref>). Thirdly, a meniscus between the growing crystal and the molten silicon can be formed by the pulling process. Finally, high-quality single-crystal silicon ingots can be processed and exploited in the photovoltaic cell. It should be noted that, over 1400&#xb0;C operating temperature in the single-crystal furnace exists, leading to the production of many oxides (mainly silicon monoxide dust). Unfortunately, the two-stage screw drought vacuum pump, which is usually employed as the auxiliary component, is very sensitive to the dust particles in the exhaust gas. It can be easily damaged when the diameter of dust is over 1&#xa0;&#x3bc;m.</p>
<p>For the reliability of the vacuum pump, a dust collector is usually used in the CZ process to filter silicon monoxide. However, silicon monoxide is chemically active, being flammable in air. Therefore, when air is charged into the collector after CZ process is finished, lot of heat is generated and high temperature is created, causing probable damage of the filter bag. In order to cool down the collector, the conventional way is leaving it in a ventilated environment to cool by natural convection. This method is simple but inefficient, which often lasts more than 4&#xa0;hours, leading to immeasurable potential economic losses to plants. To the best of the author&#x2019;s knowledge, most manufacturers have no reasonable approaches yet. Hence, it is in urgent need of development of an efficient and energy-saving cooling system that can prevent high temperature and cool down the accumulated silicon monoxide dust to ambient temperature in short&#x20;time.</p>
<p>The ejector refrigeration cycle (ERC) is a promising technology, as it not only offers a potential for low-temperature waste heat recovery but also produces considerable amount of cooling energy. In an ERC, the ejector is served as compression equipment which increases the pressure of secondary entrained stream and obtains the middle-pressure mixed flow (<xref ref-type="bibr" rid="B17">Wang et&#x20;al., 2020</xref>). ERC has a lot of merits such as simple design, high energy efficiency, reliability, little maintenance, no moving parts, low initial and operating cost, and long lifespan (<xref ref-type="bibr" rid="B16">Vidal and Colle, 2010</xref>). Therefore, it has been widely applied in energy engineering and industry process, attracting lot of attention of research studies (<xref ref-type="bibr" rid="B11">Huang et&#x20;al., 2020</xref>). Much investigation had been carried out on the performance of ejector refrigeration systems based on experimental and numerical studies. <xref ref-type="bibr" rid="B4">Ben Mansour et&#x20;al. (2014)</xref> developed the thermodynamic model of hybrid ejector-compression refrigeration cycle and compared it with two different configurations of cascade systems, conventional ejector cycle, and compressor cycle. They confirmed that, with optimized pressure and temperature, the hybrid ejector system will be promising. <xref ref-type="bibr" rid="B7">Chen et&#x20;al. (2014)</xref> analyzed a typical ejector refrigeration system based on a general mathematical model, aiming to investigate the interactions between internal and external parameters and its implication on ejector behavior and system performances. <xref ref-type="bibr" rid="B2">Akbari and Sorin (2020)</xref> proposed a systematic optimizing approach on the ERC, by first system-scale optimization and second component-scale optimization. The results of optimal status of a system demonstrated that the investigated ERC system can work very well. <xref ref-type="bibr" rid="B5">Besagni et&#x20;al. (2015)</xref> investigated the influence of working fluids on the performance of heat-driven ejector refrigeration systems based on the lumped parameter model. They claimed that the system performance is enhanced by increasing the generating and evaporating temperature and decreasing the condensing temperature. <xref ref-type="bibr" rid="B21">Yu et&#x20;al. (2007)</xref> modeled a new ERC with mechanical subcooling and compared it with conventional ERC. Theoretical analysis revealed that the new system can efficiently improve the system COP. <xref ref-type="bibr" rid="B14">Mwesigye et&#x20;al. (2020)</xref> presented a novel ERC model which considered ejector loss coefficients. The developed mathematical model showed that the COP increases with higher area ratios, higher generator temperatures, and lower condensing temperatures. <xref ref-type="bibr" rid="B13">Lu et&#x20;al. (2020)</xref> carried out an experiment on a freezer adopted with the ERC under &#x2212;40&#xb0;C low freezing temperature. The validated results showed that ERC had considerable advantages with 6.2, 21.7, and 38.9% energy consumption reduction to CRS prototype, respectively.</p>
<p>Besides the operating parameters, the ejector configuration is also decisive on the refrigerant system performance, which has received much attention from many studies. <xref ref-type="bibr" rid="B23">Zhang et&#x20;al. (2017)</xref> investigated the effect of nozzle position on entrainment ratio, pressure lift ratio, and the ejector performance, based on the version of the <italic>k</italic>&#x2013;<italic>&#x3b5;</italic> RNG turbulence model. They showed that there exists an optimal nozzle position of 6&#xa0;mm which contributed to the highest entrainment ratio and maximum COP. <xref ref-type="bibr" rid="B10">Garc&#xed;a del Valle et&#x20;al. (2014)</xref> investigated the performance of ERC operating with refrigerant R134a, aiming at improving its expansion work recovery. They studied the influence of both the nozzle longitudinal position and the vapor superheating of the primary and secondary fluid stagnation states at meantime. <xref ref-type="bibr" rid="B22">Zhang et&#x20;al. (2020)</xref> finished an ejector experiment and contrasted the result with three different numerical models, which includes a modified nucleation model. They also investigated the internal flow structures and ejector performance under different modes using the new nucleation model. <xref ref-type="bibr" rid="B9">Galindo et&#x20;al. (2021)</xref> presented a jet&#x2013;ejector refrigeration system adopting an adjustable spindle to enlarge its operational range. They also compared its performance with a fixed refrigeration system, finding that the adjustable system showed a significant enhancement than the fixed system during the whole year. <xref ref-type="bibr" rid="B8">Dong et&#x20;al. (2017)</xref> discussed the effect of nozzle exit position as well as the ejector area ratio on the system performance, under a low generating temperature. The results demonstrated that ERC is a very promising technology.</p>
<p>It can be seen that literature studies are rare in the field of cooling system for a single-crystal silicon dust collector. And, a general conclusion can be also drawn from the above literature survey that ERC performs well with low economic cost and simple operation, consuming low-grade waste heat. Since the accumulated oxide in the bottom of the tank reacts chemically and generates excessive heat when contact with air during recharge operation, the heat can be removed and collected to decrease temperature and then the ERC can be driven to produce cooling energy. Therefore, to fill this research gap, an ERC-based cooling system, driven by the waste heat recovered from the dust collector, is proposed in this paper. The ERC is coupled and operates in special working environment for the need of collector cooling, with special driven heat temperature and power, refrigeration temperature, and heat transfer for dust. Under these circumstances, the cycle and main component are designed, and the system is analyzed to the study the performance and verify the feasibility.</p>
</sec>
<sec id="s2">
<title>Cooling System</title>
<sec id="s2-1">
<title>Waste Heat-Driven Ejection Cooling Cycle</title>
<p>
<xref ref-type="fig" rid="F1">Figure&#x20;1A</xref> shows the schematic diagram of the waste heat-driven ejection cooling cycle, which consists of two parts: collector cycle and ejector refrigeration cycle. The collector cycle mainly composes water tank 1 (low temperature), water tank 2 (high temperature), a series (four in the case of this paper) of dust collectors, and two water pumps. For the ERC, it consists of three heat exchangers (a generator, a condenser, and an evaporator), an ejector, a circulation pump, and an expansion valve. <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>(b) shows the ejection cycle in <italic>p&#x2013;h</italic>&#x20;chart.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Collector cooling system. <bold>(A)</bold> The schematic diagram; <bold>(B)</bold> <italic>p&#x2013;h</italic> diagram.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g001.tif"/>
</fig>
<p>In the basis of ERC, the working fluid is compressed to a high-pressure state by the pump and then absorbs heat in the generator. The heat is recovered from the collector and stored in water tank 2. The primary fluid vaporised in the generator enters the ejector nozzle, so as to entrain the low-pressure secondary vapor coming from the evaporator (<xref ref-type="bibr" rid="B2">Akbari and Sorin, 2020</xref>). The two flows then undergo mixing and introduce shock trains in the mixing chamber, followed by pressure recovery in the diffuser of the ejector (<xref ref-type="bibr" rid="B6">Chen et&#x20;al., 2015</xref>). The mixed middle-pressure stream enters the condenser, releasing heat into the environment. After then, the stream flows to two parts: one passes through the expansion valve and then enters the evaporator, while the other is compressed by the pump and returns to the generator to complete the&#x20;cycle.</p>
<p>The collector cycle is boxed by green-dashed line in <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>. Water tank 1, where low-temperature water with a temperature of 80&#xb0;C is stored, is connected to several parallelly arranged dust collectors, passing valve 1 and pump 1. Water tank 2 receives and stores high-temperature water (about 90&#xb0;C) from collectors. It is connected to pump 2, which is further connected to the generator.</p>
</sec>
<sec id="s2-2">
<title>Operating Procedure</title>
<p>The temperature of the collector is controlled by water from water tank 1, and the reaction heat is simultaneously stored in water tank 2. Then, with this heat, the ERC further cools the collectors. Therefore, the cooling process of the collector system consists of two main&#x20;steps.</p>
<p>In the first step, air is slowly charged into the dust collector, which is vacuum during the production process. It takes no shorter than 2&#xa0;h to avoid violent chemical reaction (2SiO &#x2b; O<sub>2</sub> &#x3d; 2SiO<sub>2</sub>) in the collector that may release a large amount of heat energy and damage collector components. To remove the heat, valve 1 and valve 2 are both open, and the system is directly cooled by water from water tank 1. The cooling water flows through the tube-fin heat exchanger at the bottom of the collector (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>), maintaining the temperature in the collector around 100&#xb0;C. In other words, the waste reaction heat is delivered and stored into water tank 2, carried by&#x20;water.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Structure of the dust collector and its components.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g002.tif"/>
</fig>
<p>The second step (step 2) starts when air pressure in the collector reaches one atmospheric pressure after enough air is fed into the collector (the reaction almost ends). In this step, valve 1 and valve 2 are closed, while valve 3, valve 4, and valve 5 are all open. Driven by the low-temperature heat energy source from water tank 2, ERC works with a high efficiency. The collectors are cooled down (expected in 15&#xa0;min) much faster than conventional ones (3&#x2013;8&#xa0;h) by water from the evaporator <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>until. When the reaction product temperature is lower than 20&#xb0;C, step 2 ends, and the collector is ready for cleaning operation.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Comparison of the performance of ejection and absorption refrigeration cycles.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g003.tif"/>
</fig>
</sec>
<sec id="s2-3">
<title>Design and Models</title>
<p>A dust collector with typical 330L/S processing capacity is chosen for this study, which can reach 99.9% dust collection efficiency. The Q235-made collector body is 1012&#xa0;mm in diameter and 2323&#xa0;mm in height. The upper temperature limit is 260&#xb0;C. With some of the reaction heat leaking from the collector wall, the total heat released in step 1 is tested as 4.3875MJ, which is determined by <xref ref-type="disp-formula" rid="e1">Eq. 1</xref> as water is used to remove the heat.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>Q</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>m</mml:mi>
<mml:mrow>
<mml:mi>h</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mi>p</mml:mi>
</mml:msub>
<mml:mi>&#x394;</mml:mi>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>where <italic>m</italic>
<sub>ht</sub> is the mass of cooling water, <italic>c</italic>
<sub>p</sub> is water isobaric specific heat, and &#x394;<italic>T</italic>
<sub>t</sub> is temperature change of water. Since step 1 is finished in 2&#xa0;hours, heat dissipating capacity can be found as 609W. Thus, the fin-tube heat exchanger is designed with tube diameter being 4&#xa0;mm (0.15&#xa0;mm wall thickness), tube pitch (<italic>c</italic>
<sub>t</sub>) being 10mm, aluminum fin thickness (<italic>&#x3b4;</italic>
<sub>f</sub>) being 0.13mm, and fin space (<italic>c</italic>
<sub>f</sub>) being 2.2&#xa0;mm. The total length of heat exchange tube and aluminum fin can be determined by<disp-formula id="e2">
<mml:math id="m2">
<mml:mrow>
<mml:mi>L</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>2</mml:mn>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mo>/</mml:mo>
<mml:mi>c</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:munderover>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:msqrt>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msup>
<mml:mi>r</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>n</mml:mi>
<mml:mi>c</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:mstyle>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<p>In <xref ref-type="disp-formula" rid="e2">Eq. 2</xref>, for tube, <italic>c</italic>
<sub>t</sub> &#x3d; 10mm, and for fin, <italic>c</italic>
<sub>f</sub> &#x3d; 2.6&#xa0;mm. The total length is obtained as 80 and 309.1&#xa0;m for tube and fin, respectively. The heat exchange area of fin can be calculated by <xref ref-type="disp-formula" rid="e3">Eq. 3</xref>.<disp-formula id="e3">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>L</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mo>&#x22c5;</mml:mo>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x3c0;</mml:mi>
<mml:msup>
<mml:mi>r</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<p>The heat exchanger area of tube is given by<disp-formula id="e4">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mtext>t</mml:mtext>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mi>&#x3c0;</mml:mi>
<mml:mi>d</mml:mi>
<mml:msub>
<mml:mi>L</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
<mml:mi>&#x3c0;</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
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<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mo>&#x2212;</mml:mo>
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</mml:msub>
<mml:msub>
<mml:mi>&#x3b4;</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
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<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
<p>Consequently, heat exchange area <italic>A</italic>
<sub>L</sub> of one tube layer can be obtained as 4.8986&#xa0;m<sup>2</sup>, with 0.68 fin efficiency. <italic>A</italic>
<sub>f</sub> is calculated as 5.7936&#xa0;m<sup>2</sup>, and <italic>A</italic>
<sub>
<italic>t</italic>
</sub> is calculated as 0.959&#xa0;m<sup>2</sup>, using <xref ref-type="disp-formula" rid="e5">Eq. 5</xref>.<disp-formula id="e5">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mo>&#x22c5;</mml:mo>
<mml:msub>
<mml:mi>&#x3b7;</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>t</mml:mi>
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<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>With designed average temperature difference (&#x394;<italic>T</italic>) of 15&#x20;&#xb0;C and overall estimated heat transfer coefficient (<italic>h</italic>) of 5&#xa0;W/(m<sup>2</sup>K), the needed heat transfer area <italic>A</italic>
<sub>n</sub> can be obtained as 8.12&#x20;m<sup>2</sup> from <xref ref-type="disp-formula" rid="e6">Eq. 6</xref>.<disp-formula id="e6">
<mml:math id="m6">
<mml:mrow>
<mml:mi>Q</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
<mml:mi>h</mml:mi>
<mml:mi>&#x394;</mml:mi>
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<mml:mo>.</mml:mo>
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</mml:math>
<label>(6)</label>
</disp-formula>
</p>
<p>Therefore, choosing heat exchanger layers to be 2, the designed area <italic>A</italic>
<sub>tot</sub> is now 9.7972&#x20;m<sup>2</sup>. It has a 20.7% design margin, showing the design may be suitable.</p>
<p>Based on the above heat exchanger, a mathematical model of the cooling system including the heat exchanger is proposed, aiming at the verification of the feasibility of the cooling system and investigation of system performance. The theoretical model is established with main equations shown in <xref ref-type="table" rid="T1">Table&#x20;1</xref>, based on the following assumptions:<list list-type="simple">
<list-item>
<p>1) The flow inside the ejector is steady and one-dimensional.</p>
</list-item>
<list-item>
<p>2) The wall surface of ejector is regarded as adiabatic.</p>
</list-item>
<list-item>
<p>3) The primary flow and the secondary flow are saturated, and their velocities are negligible before entering the ejector. The velocity of the mixed flow leaving the ejector is also neglected.</p>
</list-item>
<list-item>
<p>4) The refrigerant is assumed saturated at the exits of the condenser and the evaporator.</p>
</list-item>
<list-item>
<p>5) The pressure drop and heat loss in the heat exchangers and connecting pipes are negligible.</p>
</list-item>
</list>
</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Energy and mass balance equations for components of the cooling system.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Components</th>
<th align="center">Balance equations</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">Generator</td>
<td align="center">
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<mml:mrow>
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>4</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
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<mml:mo>&#x2d9;</mml:mo>
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<mml:mrow>
<mml:mn>10</mml:mn>
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<mml:msub>
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<mml:mn>1</mml:mn>
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</inline-formula>
</td>
</tr>
<tr>
<td align="center">
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<mml:msub>
<mml:mi>Q</mml:mi>
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>7</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>8</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>7</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>8</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Condenser</td>
<td align="center">
<inline-formula id="inf3">
<mml:math id="m9">
<mml:mrow>
<mml:msub>
<mml:mi>Q</mml:mi>
<mml:mi>c</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Throttling valve</td>
<td align="center">
<inline-formula id="inf4">
<mml:math id="m10">
<mml:mrow>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>5</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Evaporator</td>
<td align="center">
<inline-formula id="inf5">
<mml:math id="m11">
<mml:mrow>
<mml:msub>
<mml:mi>Q</mml:mi>
<mml:mi>e</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
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<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>8</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="center">
<inline-formula id="inf6">
<mml:math id="m12">
<mml:mrow>
<mml:msub>
<mml:mi>Q</mml:mi>
<mml:mi>e</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
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<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>9</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>9</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mrow>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mrow>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Pump</td>
<td align="center">
<inline-formula id="inf7">
<mml:math id="m13">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mtext>pump</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mn>4</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c1;</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mrow>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b7;</mml:mi>
<mml:mrow>
<mml:mtext>pump</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="center">
<inline-formula id="inf8">
<mml:math id="m14">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mtext>pump</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>4</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Ejector</td>
<td align="center">
<inline-formula id="inf9">
<mml:math id="m15">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>6</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>6</mml:mn>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>m</mml:mi>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Taking real gas model and constant pressure mixing assumption into account, the ejector model of this work is obtained, which is the same as the study by <xref ref-type="bibr" rid="B20">Xu et&#x20;al. (2021b</xref>). In that work, the ejection model was employed in an ejection&#x2013;compression cycle and validated by comparing against two experimental datasets. The relative average and minimum deviations with variations in condensing temperature were 13.6 and 3.0%, respectively. And, those with variations in evaporating temperature were 6.8 and 14.9%, respectively, indicating the model performance was acceptable. In step 2, dust temperature decreases as cooling system works. The relation between dust temperature and cooling temperature can be simplified using lumped parameter method, as shown in <xref ref-type="disp-formula" rid="e7">Eq. 7</xref>.<disp-formula id="e7">
<mml:math id="m16">
<mml:mrow>
<mml:mrow>
<mml:mi>&#x3b8;</mml:mi>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b8;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>e</mml:mi>
<mml:mi>x</mml:mi>
<mml:mi>p</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>h</mml:mi>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mi>t</mml:mi>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mo>&#x22c5;</mml:mo>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mi>p</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
<label>(7)</label>
</disp-formula>where <italic>&#x3b8;</italic> is the temperature difference between dust and coolant, as shown in <xref ref-type="disp-formula" rid="e8">Eq. 8</xref>.<disp-formula id="e8">
<mml:math id="m17">
<mml:mrow>
<mml:mi>&#x3b8;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mi>c</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(8)</label>
</disp-formula>
</p>
<p>
<italic>T</italic>
<sub>cool</sub> is simply calculated as the average of temperature of cooling water entering and exiting the heat exchanger, as the temperature increase is not large. In <xref ref-type="disp-formula" rid="e7">Eq. 7</xref>, subscript 0 indicates the parameter gives initial value of the beginning of step 2. <italic>c</italic>
<sub>p</sub> is the equivalent specific heat of the cooled substance. From the experiment test, about 10% of the reaction occurs in step 2, as well as the cooling process of dust occurs from 100 to 20&#xb0;C. Based on testing data, it can be calculated using <xref ref-type="disp-formula" rid="e1">Eq. 1</xref> that total heat of step 2 is 3270.7&#xa0;kJ.&#x20;Assuming that the heat is uniformly released with time, equivalent specific heat can be estimated as 20.97&#xa0;kJ/kg/K. With constant heat transfer coefficient <italic>h</italic> and designed area <italic>A</italic>
<sub>
<italic>tot</italic>
</sub>, the time (<italic>t</italic>) needed for step 2 can be calculated. The working condition used in modeling and analysis is listed in <xref ref-type="table" rid="T2">Table&#x20;2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Baseline working condition for analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameters</th>
<th align="center">Value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Heat source temperature (stored heat)</td>
<td align="center">85&#xb0;C</td>
</tr>
<tr>
<td align="left">Generating temperature</td>
<td align="center">69&#x2013;75&#xb0;C (73&#xb0;C)</td>
</tr>
<tr>
<td align="left">Coolant temperature in the condenser</td>
<td align="center">26&#xb0;C</td>
</tr>
<tr>
<td align="left">Temperature of cooling water exiting the evaporator</td>
<td align="center">2&#x2013;14&#xb0;C</td>
</tr>
<tr>
<td align="left">Temperature of cooling water returning the evaporator</td>
<td align="center">4&#x2013;16&#xb0;C</td>
</tr>
<tr>
<td align="left">Evaporating temperature</td>
<td align="center">&#x2212;4&#x223c;8&#xb0;C (3&#xb0;C)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="results|discussion" id="s3">
<title>Results and Discussion</title>
<p>System performance is simulated and studied with generating temperature ranging from 69 to 75&#xb0;C, evaporating temperature ranging from &#x2212;4&#x2013;8&#xb0;C, and condenser temperature difference (&#x394;<italic>T</italic>
<sub>con</sub>) ranging from 2 to 8&#xb0;C.</p>
<p>Before analysis, the comparison of ejection cycle and absorption cycle is shown in <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>, to verify the selection of ejection. The calculation of absorption cycle is based on <xref ref-type="bibr" rid="B18">Xu et&#x20;al.&#x2019;s (2017)</xref> model. In spite of high thermal COP (COP<sub>th</sub>) in most generating temperature range, the absorption refrigeration cycle almost cannot work when generating temperature is lower than 76&#xb0;C. In contrast, the ejection cycle can work properly and has better performance at generating temperature around 70&#xb0;C. For the safety of the collector, the temperature of waste heat is controlled relatively low. Therefore, the ejection cycle is more suitable in this&#x20;paper.</p>
<sec id="s3-1">
<title>Effects of Generating Temperature on System Performance</title>
<p>
<xref ref-type="fig" rid="F4">Figure&#x20;4</xref> illustrates that the total cooling energy can be provided by the ejection refrigeration cycle, which is driven by the waste heat collected in step 1. Since the temperature of heat source (waste heat in water tank) is constant, superheating degree in generator decreases with increasing generating temperature (<xref ref-type="fig" rid="F4">Figure&#x20;4</xref>). With constant &#x394;<italic>T</italic>
<sub>con</sub> of 2&#xb0;C, as generating temperature (<italic>T</italic>
<sub>g</sub>) increases (superheating degree decreases), total cooling energy firstly increases to 3255&#x20;kJ at <italic>T</italic>
<sub>g</sub> &#x3d; 73&#xb0;C and then decreases. This is because when generating temperature is higher than 73&#xb0;C, the ejector runs under the critical mode, whose entrainment ratio decreases as generating pressure increases. With an increasing condenser temperature difference, the maximum cooling energy reduces, while the corresponding optimization generating temperature raises. For the curve of condenser temperature difference higher than 4&#xb0;C, its optimization generating temperature is beyond the studied range. Therefore, to meet the requirement of cooling load, a generating temperature not too high combining with a small condenser temperature difference is suitable for system operation.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Variation in cooling energy of ERC and superheating temperature of the generator with generating temperature.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g004.tif"/>
</fig>
<p>Since the system is mainly driven by recovered waste heat, which can be considered as totally free, thermal COP is no longer important, and cooling energy provided by ERC is what we focus on. However, in ERC, small quantity of electricity is still consumed by the pump, and the second variable should be carefully investigated is COP<sub>e</sub>, which is defined as the ratio of cooling energy of ERC to pump electric energy, as shown in <xref ref-type="fig" rid="F5">Figure&#x20;5</xref>. The curves of COP<sub>e</sub> also have a optimizing point with low condenser temperature difference. However, comparing with the curves in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>, the best generating temperature for COP<sub>e</sub> is smaller than that of cooling energy. For example, at &#x394;<italic>T</italic>
<sub>con</sub> &#x3d; 2&#xb0;C, the best generating temperature lies between 72&#xb0;C and 73&#xb0;C. The reason is that the pump electricity consumption decreases with decreasing generating temperature, as long as the ejector can still work. Therefore, it is better to choose generating temperature for operation, a little smaller than the best generating temperature for cooling energy.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Effects of generating temperature on electricity COP (COP<sub>e</sub>).</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g005.tif"/>
</fig>
<p>It can also be found that the curves in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref> and <xref ref-type="fig" rid="F5">Figure&#x20;5</xref> seem similar, which is again related to pump electricity cost shown in <xref ref-type="fig" rid="F6">Figure&#x20;6</xref>. The reason is that the decrease in pump electricity costs with the increasing condenser temperature difference is very light (within 1% per Celsius degree), which will not change the interval between curves too much. To explain the behavior of pump electricity cost, we refer to <xref ref-type="fig" rid="F7">Figure&#x20;7</xref>. Firstly, as generating temperature decreases, specific generating heat increases, but specific pump work decreases. Since the collected waste heat remains unchanged, the total refrigerant mass decreases, which leads to decrease in pump electricity consumption with the joint effect of the specific pump work. Secondly, as temperature difference in the condenser increases, total refrigerant mass and specific pump work vary in opposite ways this time. The former increases as the specific generating heat decreases, while the latter decreases, resulting in a negligible light decrease in pump electricity&#x20;cost.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Effects of generating temperature on pump electricity consumption.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Effects of generating temperature on specific generating&#x20;heat.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g007.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Effects of Evaporating Temperature on System Performance</title>
<p>With temperature difference in the evaporator is 7&#xb0;C, cooling water temperature ranges from 2 to 14&#xb0;C, and return water temperature ranges from 4 to 16&#xb0;C, then studied evaporating temperature ranges from &#x2212;4&#x2013;8&#xb0;C. Using the conclusion of the previous subsection, <italic>T</italic>
<sub>g</sub> is 73&#xb0;C. For the same reason as <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>, cooling energy is the key parameter, which decreases with a decreased evaporating temperature and increased condenser temperature difference (<xref ref-type="fig" rid="F8">Figure&#x20;8</xref>). The tested cooling energy requirement is shown as a horizontal dashed line of 3270kJ, above which the cooling energy is qualified. In the qualified region, the highest condenser temperature difference is 5&#xb0;C at an evaporating temperature of 8&#xb0;C and the lowest evaporating temperature is 3&#xb0;C with a condenser temperature difference of 2&#xb0;C. During the cooling operation, temperatures need to be controlled in this range. Another important performance parameter is the time taken to cool the dust to the desired temperature. As shown in <xref ref-type="fig" rid="F9">Figure&#x20;9</xref>, the lower the evaporating temperature, the faster the cooling speed can be achieved for a larger heat exchange rate. Considering both cooling energy and speed, an evaporating temperature around 6&#xb0;C may be suitable. Anyway, even with the largest evaporating temperature of 8&#xb0;C, the longest cooling down time is only 620s, much faster (about 92% faster) than the conventional method (about 2&#xa0;h). These results indicate the new cooling system can save a lot of time and significantly improve the producing efficiency of single-crystal silicon.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Analysis on cooling energy of ERC with variation in evaporating temperature and condenser temperature difference.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g008.tif"/>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Time cost for the cooling process in step 2.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g009.tif"/>
</fig>
<p>To explain the variation trends in cooling energy, <xref ref-type="fig" rid="F10">Figure&#x20;10</xref> is illustrated. With constant condensing temperature and generating temperature, the ejector entrainment ratio slowly decreases with the decrease in evaporating temperature first. When the evaporating temperature is low enough, the ejector reaches the critical point as shown in <xref ref-type="fig" rid="F9">Figure&#x20;9</xref>. From then on, as the evaporating temperature goes on decreasing, the ejector works under the subcritical mode and degradation in the entrainment ratio accelerates. Based on this trend, as total cycled refrigerant mass keeps unchanged (both generating heat and specific generating heat would not change), cooling energy can be decided with specific cooling capacity shown in <xref ref-type="fig" rid="F11">Figure&#x20;11</xref>. Because specific cooling capacity presents an almost linear variation with the evaporating temperature, the trends of cooling energy with evaporating temperature are similar to that of the entrainment ratio, showing the same critical point. The decrease in specific cooling capacity with the increasing condenser temperature difference is even smaller (about 1% per Celsius degree), and the trends of cooling energy with condenser temperature difference are very similar to those of the entrainment&#x20;ratio.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Effects of evaporating temperature on the entrainment&#x20;ratio.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g010.tif"/>
</fig>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Effects of evaporating temperature on specific cooling capacity.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g011.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="F12">Figure&#x20;12</xref> shows the total heat rejected from the condenser. The difference in total condensing heat is relatively small compared to their absolute value. At the critical point, the total condensing heat is 17231kJ, which is just 12.9% smaller than the largest total condensing heat of 19778&#xa0;kJ at the largest cooling energy point. The result indicates that the size of the condenser does not need to change too much for different designs, neither does its cost. In other words, not much attention needs to be paid on the condenser.</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Effects of evaporating temperature on total condensing&#x20;heat.</p>
</caption>
<graphic xlink:href="fenrg-09-735474-g012.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>Conclusion</title>
<p>To recover the waste heat from collected dust and speed up the producing process for single-crystal silicon, a cooling system based on heat-driven ERC is designed and analyzed. Some important conclusions are drawn as follows:<list list-type="simple">
<list-item>
<p>1) Parallelly connecting with 4&#x20;330L/S dust collectors, a cooling system based on ERC is proposed, in which a two-layer fin-tube heat exchanger with 9.7972&#xa0;m<sup>2</sup> area is designed.</p>
</list-item>
<list-item>
<p>2) Two steps make up the whole cooling process. Reaction occurs mainly in step 1, and its heat is stored. In step 2, ERC is driven by stored heat providing cooling energy to offset heat of residual reaction and cooling the dust down to safe temperature.</p>
</list-item>
<list-item>
<p>3) Optimizing generating temperature with different condenser temperature difference is observed for both cooling energy and COP<sub>e</sub>. Considering their effects together, the best generating temperature is recommended around 73&#xb0;C.</p>
</list-item>
<list-item>
<p>4) According to the amount of cooling energy, qualified region with the largest/smallest condenser temperature difference of 5/2&#xb0;C and highest/lowest evaporating temperature of 8/3&#xb0;C is obtained.</p>
</list-item>
<list-item>
<p>5) It is found that, in the studied range, cooling down time is within 620s, which is significantly shorter than currently used dust collector, indicating the proposed cooling system can improve the producing efficiency.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>JH contributed to conception, testing, and proof reading; YX contributed to analysis and first draft of the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="s7">
<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>
<p>The reviewer (BY) declared a shared affiliation with the authors to the handling editor at the time of review.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<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>
<ack>
<p>The authors would like to acknowledge the support from program &#x201c;Development of External Online Feeding Technology for Czochralski Crystal Furnace&#x201d; (No. 20180064)</p>
</ack>
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</ref-list>
<sec id="s9">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fenrg.2021.735474">
<bold>Nomenclature</bold>
</term>
</def-item>
<def-item>
<term id="G2-fenrg.2021.735474">
<italic>
<bold>A</bold>
</italic>
</term>
<def>
<p>Heat transfer area&#x20;(m<sup>2</sup>)</p>
</def>
</def-item>
<def-item>
<term id="G3-fenrg.2021.735474">
<italic>
<bold>A</bold>
</italic>
<sub>
<italic>
<bold>tot</bold>
</italic>
</sub>
</term>
<def>
<p>Designed heat transfer area&#x20;(m<sup>2</sup>)</p>
</def>
</def-item>
<def-item>
<term id="G4-fenrg.2021.735474">
<italic>
<bold>A</bold>
</italic>
<sub>
<italic>
<bold>need</bold>
</italic>
</sub>
</term>
<def>
<p>Needed heat transfer area&#x20;(m<sup>2</sup>)</p>
</def>
</def-item>
<def-item>
<term id="G5-fenrg.2021.735474">
<bold>COP</bold>
</term>
<def>
<p>Coefficient of performance</p>
</def>
</def-item>
<def-item>
<term id="G6-fenrg.2021.735474">
<italic>
<bold>C</bold>
</italic>
<sub>
<italic>
<bold>p</bold>
</italic>
</sub>
</term>
<def>
<p>Specific heat capacity (kJ/kg&#xb7;K)</p>
</def>
</def-item>
<def-item>
<term id="G7-fenrg.2021.735474">
<bold>
<italic>c</italic>
<sub>
<italic>t</italic>
</sub>
</bold>
</term>
<def>
<p>Tube pitch (mm)</p>
</def>
</def-item>
<def-item>
<term id="G8-fenrg.2021.735474">
<bold>
<italic>c</italic>
<sub>
<italic>f</italic>
</sub>
</bold>
</term>
<def>
<p>Fin space (mm)</p>
</def>
</def-item>
<def-item>
<term id="G9-fenrg.2021.735474">
<italic>
<bold>h</bold>
</italic>
</term>
<def>
<p>Heat transfer coefficient (W/(m<sup>2</sup>K))</p>
</def>
</def-item>
<def-item>
<term id="G10-fenrg.2021.735474">
<italic>
<bold>L</bold>
</italic>
</term>
<def>
<p>Total length of the heat exchange tube</p>
</def>
</def-item>
<def-item>
<term id="G11-fenrg.2021.735474">
<italic>
<bold>m</bold>
</italic>
</term>
<def>
<p>Mass flow rate(kg/s)</p>
</def>
</def-item>
<def-item>
<term id="G12-fenrg.2021.735474">
<italic>
<bold>n</bold>
</italic>
</term>
<def>
<p>Number</p>
</def>
</def-item>
<def-item>
<term id="G13-fenrg.2021.735474">
<italic>
<bold>P</bold>
</italic>
</term>
<def>
<p>Power (W)</p>
</def>
</def-item>
<def-item>
<term id="G14-fenrg.2021.735474">
<inline-formula id="inf10">
<mml:math id="m18">
<mml:mrow>
<mml:mover accent="true">
<mml:mi mathvariant="bold-italic">Q</mml:mi>
<mml:mo>.</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>
</term>
<def>
<p>Heat transfer rate&#x20;(W)</p>
</def>
</def-item>
<def-item>
<term id="G15-fenrg.2021.735474">
<italic>
<bold>r</bold>
</italic>
</term>
<def>
<p>Radius (mm)</p>
</def>
</def-item>
<def-item>
<term id="G16-fenrg.2021.735474">
<italic>
<bold>T</bold>
</italic>
</term>
<def>
<p>Temperature (&#xb0;C)</p>
</def>
</def-item>
<def-item>
<term id="G17-fenrg.2021.735474">
<italic>
<bold>&#x25b3;T</bold>
</italic>
</term>
<def>
<p>Temperature difference (&#xb0;C)</p>
</def>
</def-item>
<def-item>
<term id="G18-fenrg.2021.735474">
<bold>
<italic>&#x394;T</italic>
<sub>
<italic>t</italic>
</sub>
</bold>
</term>
<def>
<p>Temperature change of water (&#xb0;C)</p>
</def>
</def-item>
<def-item>
<term id="G19-fenrg.2021.735474">
<italic>
<bold>U</bold>
</italic>
</term>
<def>
<p>Entrainment&#x20;ratio</p>
</def>
</def-item>
<def-item>
<term id="G20-fenrg.2021.735474">
<italic>
<bold>v</bold>
</italic>
</term>
<def>
<p>Specific volume (m<sup>3</sup>/kg)</p>
</def>
</def-item>
<def-item>
<term id="G21-fenrg.2021.735474">
<bold>Subscript</bold>
</term>
</def-item>
<def-item>
<term id="G22-fenrg.2021.735474">
<bold>cool</bold>
</term>
<def>
<p>Coolant</p>
</def>
</def-item>
<def-item>
<term id="G23-fenrg.2021.735474">
<bold>con</bold>
</term>
<def>
<p>Condenser</p>
</def>
</def-item>
<def-item>
<term id="G24-fenrg.2021.735474">
<bold>dust</bold>
</term>
<def>
<p>Dust collector</p>
</def>
</def-item>
<def-item>
<term id="G25-fenrg.2021.735474">
<bold>e</bold>
</term>
<def>
<p>Evaporator</p>
</def>
</def-item>
<def-item>
<term id="G26-fenrg.2021.735474">
<bold>f</bold>
</term>
<def>
<p>Fin</p>
</def>
</def-item>
<def-item>
<term id="G27-fenrg.2021.735474">
<bold>g</bold>
</term>
<def>
<p>Generator</p>
</def>
</def-item>
<def-item>
<term id="G28-fenrg.2021.735474">
<bold>L</bold>
</term>
<def>
<p>Layer</p>
</def>
</def-item>
<def-item>
<term id="G29-fenrg.2021.735474">
<bold>pump</bold>
</term>
<def>
<p>Pump</p>
</def>
</def-item>
<def-item>
<term id="G30-fenrg.2021.735474">
<bold>t</bold>
</term>
<def>
<p>Tube</p>
</def>
</def-item>
<def-item>
<term id="G31-fenrg.2021.735474">
<bold>Greek letter</bold>
</term>
</def-item>
<def-item>
<term id="G32-fenrg.2021.735474">
<italic>
<bold>&#x3c1;</bold>
</italic>
</term>
<def>
<p>Density(kg/m<sup>3</sup>)</p>
</def>
</def-item>
<def-item>
<term id="G33-fenrg.2021.735474">
<italic>
<bold>&#x3b8;</bold>
</italic>
</term>
<def>
<p>Temperature difference between dust and coolant</p>
</def>
</def-item>
<def-item>
<term id="G34-fenrg.2021.735474">
<italic>
<bold>&#x3b7;</bold>
</italic>
</term>
<def>
<p>Efficiency</p>
</def>
</def-item>
<def-item>
<term id="G35-fenrg.2021.735474">
<italic>
<bold>&#x3b4;</bold>
</italic>
</term>
<def>
<p>Fin thickness (mm)</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>