Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS
In the current study, a renewable system with two potential wind and solar energies for electricity production, cooling, and heating has been investigated. The proposed system included reverse osmosis, heat pumps, fuel cell subsystems, wind turbines, photovoltaic/thermal panel units, battery storage...
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Veröffentlicht in: | Renewable energy 2023-05, Vol.208, p.512-537 |
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creator | Dezhdar, Ali Assareh, Ehsanolah Agarwal, Neha bedakhanian, Ali Keykhah, Sajjad fard, Ghazaleh yeganeh zadsar, Narjes Aghajari, Mona Lee, Moonyong |
description | In the current study, a renewable system with two potential wind and solar energies for electricity production, cooling, and heating has been investigated. The proposed system included reverse osmosis, heat pumps, fuel cell subsystems, wind turbines, photovoltaic/thermal panel units, battery storage, and a hydrogen storage tank. Given Iran's high potential for renewable energy, a performance analysis of six cities, Esfahan, Zanjan, Bandar Anzali, Ahvaz, Bandar Abbas, and Tabriz was done to determine where the proposed power plant should be located. Six decision factors were analyzed for system performance: solar panel angle, solar panel count, wind turbine count, cooling capacity, heating capacity, and fuel cell power. The findings demonstrate that the number of solar panels, wind turbines, and fuel cells significantly influences power, fuel consumption, and system costs. Finally, the outcomes were analyzed by the Response surface method to choose the best system that can satisfy the demand for residential units for one year. To evaluate the effectiveness of the suggested method, a 100-unit apartment building with a 196-square-meter floor space was considered. The results also showed that the combination of hydrogen units and battery storage reduced variations in supply and demand and correctly stabilized the stored energy during a drop in output. The suggested system has a life cycle cost of 674278.4$/h and the capacity to generate 225694.8 kWh of surplus power for residential units with a thermal comfort index. According to the optimization results, the system's optimal panel count was 106, the optimal angle was 26°, the optimal fuel cell power was 65.6 kW, the ideal wind turbine count was 24, the ideal heating capacity was 20.2 kW, and the optimal cooling capacity was 48.7 kW. |
doi_str_mv | 10.1016/j.renene.2023.03.019 |
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The proposed system included reverse osmosis, heat pumps, fuel cell subsystems, wind turbines, photovoltaic/thermal panel units, battery storage, and a hydrogen storage tank. Given Iran's high potential for renewable energy, a performance analysis of six cities, Esfahan, Zanjan, Bandar Anzali, Ahvaz, Bandar Abbas, and Tabriz was done to determine where the proposed power plant should be located. Six decision factors were analyzed for system performance: solar panel angle, solar panel count, wind turbine count, cooling capacity, heating capacity, and fuel cell power. The findings demonstrate that the number of solar panels, wind turbines, and fuel cells significantly influences power, fuel consumption, and system costs. Finally, the outcomes were analyzed by the Response surface method to choose the best system that can satisfy the demand for residential units for one year. To evaluate the effectiveness of the suggested method, a 100-unit apartment building with a 196-square-meter floor space was considered. The results also showed that the combination of hydrogen units and battery storage reduced variations in supply and demand and correctly stabilized the stored energy during a drop in output. The suggested system has a life cycle cost of 674278.4$/h and the capacity to generate 225694.8 kWh of surplus power for residential units with a thermal comfort index. According to the optimization results, the system's optimal panel count was 106, the optimal angle was 26°, the optimal fuel cell power was 65.6 kW, the ideal wind turbine count was 24, the ideal heating capacity was 20.2 kW, and the optimal cooling capacity was 48.7 kW.</description><identifier>ISSN: 0960-1481</identifier><identifier>EISSN: 1879-0682</identifier><identifier>DOI: 10.1016/j.renene.2023.03.019</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>batteries ; Clean electricity ; Cooling ; desalination ; electricity ; electricity generation ; Energy storage ; energy use and consumption ; fuel cells ; fuels ; heat ; Heating ; hydrogen ; Hydrogen production ; Iran ; life cycle costing ; Multi-generation system ; power plants ; renewable energy sources ; response surface methodology ; reverse osmosis ; solar collectors ; supply balance ; wind ; wind turbines</subject><ispartof>Renewable energy, 2023-05, Vol.208, p.512-537</ispartof><rights>2023 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-966e957448f3aef10385538393dfcb49264867abc537594d694b72d872dfb9b03</citedby><cites>FETCH-LOGICAL-c339t-966e957448f3aef10385538393dfcb49264867abc537594d694b72d872dfb9b03</cites><orcidid>0000-0001-8203-8886</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0960148123003051$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Dezhdar, Ali</creatorcontrib><creatorcontrib>Assareh, Ehsanolah</creatorcontrib><creatorcontrib>Agarwal, Neha</creatorcontrib><creatorcontrib>bedakhanian, Ali</creatorcontrib><creatorcontrib>Keykhah, Sajjad</creatorcontrib><creatorcontrib>fard, Ghazaleh yeganeh</creatorcontrib><creatorcontrib>zadsar, Narjes</creatorcontrib><creatorcontrib>Aghajari, Mona</creatorcontrib><creatorcontrib>Lee, Moonyong</creatorcontrib><title>Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS</title><title>Renewable energy</title><description>In the current study, a renewable system with two potential wind and solar energies for electricity production, cooling, and heating has been investigated. The proposed system included reverse osmosis, heat pumps, fuel cell subsystems, wind turbines, photovoltaic/thermal panel units, battery storage, and a hydrogen storage tank. Given Iran's high potential for renewable energy, a performance analysis of six cities, Esfahan, Zanjan, Bandar Anzali, Ahvaz, Bandar Abbas, and Tabriz was done to determine where the proposed power plant should be located. Six decision factors were analyzed for system performance: solar panel angle, solar panel count, wind turbine count, cooling capacity, heating capacity, and fuel cell power. The findings demonstrate that the number of solar panels, wind turbines, and fuel cells significantly influences power, fuel consumption, and system costs. Finally, the outcomes were analyzed by the Response surface method to choose the best system that can satisfy the demand for residential units for one year. To evaluate the effectiveness of the suggested method, a 100-unit apartment building with a 196-square-meter floor space was considered. The results also showed that the combination of hydrogen units and battery storage reduced variations in supply and demand and correctly stabilized the stored energy during a drop in output. The suggested system has a life cycle cost of 674278.4$/h and the capacity to generate 225694.8 kWh of surplus power for residential units with a thermal comfort index. According to the optimization results, the system's optimal panel count was 106, the optimal angle was 26°, the optimal fuel cell power was 65.6 kW, the ideal wind turbine count was 24, the ideal heating capacity was 20.2 kW, and the optimal cooling capacity was 48.7 kW.</description><subject>batteries</subject><subject>Clean electricity</subject><subject>Cooling</subject><subject>desalination</subject><subject>electricity</subject><subject>electricity generation</subject><subject>Energy storage</subject><subject>energy use and consumption</subject><subject>fuel cells</subject><subject>fuels</subject><subject>heat</subject><subject>Heating</subject><subject>hydrogen</subject><subject>Hydrogen production</subject><subject>Iran</subject><subject>life cycle costing</subject><subject>Multi-generation system</subject><subject>power plants</subject><subject>renewable energy sources</subject><subject>response surface methodology</subject><subject>reverse osmosis</subject><subject>solar collectors</subject><subject>supply balance</subject><subject>wind</subject><subject>wind turbines</subject><issn>0960-1481</issn><issn>1879-0682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9UU2PFCEQJUYTx9V_4IGjh-0RGrobLiZm41ey0cQdD54IDdWzTGgYgXbT_ih_o4zt2VAEKu9VvVQ9hF5SsqeE9q9P-wShnn1LWrYnNah8hHZUDLIhvWgfox2RPWkoF_QpepbziRDaiYHv0O9D0iE7CAXHc3Gz-6WLiwHHCWsc4AHn6HVqHlyweF58cc2xCqWNlNdcYMZTTPh-tSlWCJ9TtIu5wNfYQtbeBb1lxoMOGDyYkpxxZb3G91CxcKxYjP7vR1edi8BxxbnEpI-Al1wRfPj6-e773XP0ZNI-w4t_7xX69v7d4eZjc_vlw6ebt7eNYUyWRvY9yG7gXExMw0QJE13HBJPMTmbksu256Ac9mo4NneS2l3wcWivqnUY5EnaFXm196zg_FshFzS4b8F4HiEtWrWCcSkHoUKl8o5oUc04wqXNys06rokRd7FEntdmjLvYoUoPKWvZmK4M6xk8HSWVTbTBgXaobUja6_zf4A1FZnmY</recordid><startdate>202305</startdate><enddate>202305</enddate><creator>Dezhdar, Ali</creator><creator>Assareh, Ehsanolah</creator><creator>Agarwal, Neha</creator><creator>bedakhanian, Ali</creator><creator>Keykhah, Sajjad</creator><creator>fard, Ghazaleh yeganeh</creator><creator>zadsar, Narjes</creator><creator>Aghajari, Mona</creator><creator>Lee, Moonyong</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-8203-8886</orcidid></search><sort><creationdate>202305</creationdate><title>Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS</title><author>Dezhdar, Ali ; Assareh, Ehsanolah ; Agarwal, Neha ; bedakhanian, Ali ; Keykhah, Sajjad ; fard, Ghazaleh yeganeh ; zadsar, Narjes ; Aghajari, Mona ; Lee, Moonyong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-966e957448f3aef10385538393dfcb49264867abc537594d694b72d872dfb9b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>batteries</topic><topic>Clean electricity</topic><topic>Cooling</topic><topic>desalination</topic><topic>electricity</topic><topic>electricity generation</topic><topic>Energy storage</topic><topic>energy use and consumption</topic><topic>fuel cells</topic><topic>fuels</topic><topic>heat</topic><topic>Heating</topic><topic>hydrogen</topic><topic>Hydrogen production</topic><topic>Iran</topic><topic>life cycle costing</topic><topic>Multi-generation system</topic><topic>power plants</topic><topic>renewable energy sources</topic><topic>response surface methodology</topic><topic>reverse osmosis</topic><topic>solar collectors</topic><topic>supply balance</topic><topic>wind</topic><topic>wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dezhdar, Ali</creatorcontrib><creatorcontrib>Assareh, Ehsanolah</creatorcontrib><creatorcontrib>Agarwal, Neha</creatorcontrib><creatorcontrib>bedakhanian, Ali</creatorcontrib><creatorcontrib>Keykhah, Sajjad</creatorcontrib><creatorcontrib>fard, Ghazaleh yeganeh</creatorcontrib><creatorcontrib>zadsar, Narjes</creatorcontrib><creatorcontrib>Aghajari, Mona</creatorcontrib><creatorcontrib>Lee, Moonyong</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Renewable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dezhdar, Ali</au><au>Assareh, Ehsanolah</au><au>Agarwal, Neha</au><au>bedakhanian, Ali</au><au>Keykhah, Sajjad</au><au>fard, Ghazaleh yeganeh</au><au>zadsar, Narjes</au><au>Aghajari, Mona</au><au>Lee, Moonyong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS</atitle><jtitle>Renewable energy</jtitle><date>2023-05</date><risdate>2023</risdate><volume>208</volume><spage>512</spage><epage>537</epage><pages>512-537</pages><issn>0960-1481</issn><eissn>1879-0682</eissn><abstract>In the current study, a renewable system with two potential wind and solar energies for electricity production, cooling, and heating has been investigated. The proposed system included reverse osmosis, heat pumps, fuel cell subsystems, wind turbines, photovoltaic/thermal panel units, battery storage, and a hydrogen storage tank. Given Iran's high potential for renewable energy, a performance analysis of six cities, Esfahan, Zanjan, Bandar Anzali, Ahvaz, Bandar Abbas, and Tabriz was done to determine where the proposed power plant should be located. Six decision factors were analyzed for system performance: solar panel angle, solar panel count, wind turbine count, cooling capacity, heating capacity, and fuel cell power. The findings demonstrate that the number of solar panels, wind turbines, and fuel cells significantly influences power, fuel consumption, and system costs. Finally, the outcomes were analyzed by the Response surface method to choose the best system that can satisfy the demand for residential units for one year. To evaluate the effectiveness of the suggested method, a 100-unit apartment building with a 196-square-meter floor space was considered. The results also showed that the combination of hydrogen units and battery storage reduced variations in supply and demand and correctly stabilized the stored energy during a drop in output. The suggested system has a life cycle cost of 674278.4$/h and the capacity to generate 225694.8 kWh of surplus power for residential units with a thermal comfort index. According to the optimization results, the system's optimal panel count was 106, the optimal angle was 26°, the optimal fuel cell power was 65.6 kW, the ideal wind turbine count was 24, the ideal heating capacity was 20.2 kW, and the optimal cooling capacity was 48.7 kW.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.renene.2023.03.019</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0001-8203-8886</orcidid></addata></record> |
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subjects | batteries Clean electricity Cooling desalination electricity electricity generation Energy storage energy use and consumption fuel cells fuels heat Heating hydrogen Hydrogen production Iran life cycle costing Multi-generation system power plants renewable energy sources response surface methodology reverse osmosis solar collectors supply balance wind wind turbines |
title | Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS |
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