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Optimization & techno-economic analysis of a hybrid system with thermal energy storage within a LEC
The built environment is one of the most energy-intensive actors of energy. The formation of communities, which exploit energy locally, significantly affects the energy transition process to more viable scenarios. These communities, called Local Energy Communities (LECs), mainly use their primary en...
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Published in: | Renewable energy 2023-10, Vol.215, p.118920, Article 118920 |
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description | The built environment is one of the most energy-intensive actors of energy. The formation of communities, which exploit energy locally, significantly affects the energy transition process to more viable scenarios. These communities, called Local Energy Communities (LECs), mainly use their primary energy resources to cover their heating and cooling needs. Such a community is the LEC of DUTh’s University campus in Xanthi, Greece. The community has installed several Renewable Energy Sources (RES) technologies to exploit the available primary energy and to cover the respective demands. However, an inability to cover the demand is observed in periods like winter or in periods of low renewable energy availability. To tackle that phenomenon, the authors investigated several optimization scenarios, which aim to mitigate the cost of investment as well as the cost of energy (levelized cost of energy - LCoE) and to maximize the thermal energy produced simultaneously — to cover the thermal energy demand — and the RES penetration in the energy mix. A multi-integer linear optimization (MILP) strategy was developed to achieve that. The results were further analyzed via a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis. The results of the study concluded that an ideal solution for the system might be an increase in solar collector area (by 40%), the thermal energy storage system’s (TESS) volume (by 213%), and the biomass boiler’s capacity (by 107%) to meet the load of 1,814.48 MWhth/yr and to provide the required energy security to the community. The selected scenario provided an LCoE of 0.16 €/kWh, which is slightly improved compared to the baselines (0.18 €/kWh).
•Optimization strategy using MILP to find an optimal hybrid system solution for an existing installation.•TOPSIS analysis for the evaluation of the previous results of the optimization.•Enlargement of the main systems’ components to meet energy demands and ensure community energy security.•The results of the study concluded that this system could provide an LCoE of 0.16 €/kWh. |
doi_str_mv | 10.1016/j.renene.2023.118920 |
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•Optimization strategy using MILP to find an optimal hybrid system solution for an existing installation.•TOPSIS analysis for the evaluation of the previous results of the optimization.•Enlargement of the main systems’ components to meet energy demands and ensure community energy security.•The results of the study concluded that this system could provide an LCoE of 0.16 €/kWh.</description><identifier>ISSN: 0960-1481</identifier><identifier>DOI: 10.1016/j.renene.2023.118920</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>biomass ; Greece ; heat ; Hybrid system ; Local energy community ; Multi-integer linear programming ; Optimization ; primary energy ; renewable energy sources ; solar collectors ; Thermal energy ; winter</subject><ispartof>Renewable energy, 2023-10, Vol.215, p.118920, Article 118920</ispartof><rights>2023 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-22051ee514a93513a150d3c6ba87cf6b93633b6d80e0b3b844a13f12f32b6b373</citedby><cites>FETCH-LOGICAL-c339t-22051ee514a93513a150d3c6ba87cf6b93633b6d80e0b3b844a13f12f32b6b373</cites><orcidid>0000-0002-2815-594X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Lygouras, Eleftherios</creatorcontrib><creatorcontrib>Papatsounis, Adamantios G.</creatorcontrib><creatorcontrib>Botsaris, Pantelis N.</creatorcontrib><creatorcontrib>Pechtelidis, Alexandros</creatorcontrib><title>Optimization & techno-economic analysis of a hybrid system with thermal energy storage within a LEC</title><title>Renewable energy</title><description>The built environment is one of the most energy-intensive actors of energy. The formation of communities, which exploit energy locally, significantly affects the energy transition process to more viable scenarios. These communities, called Local Energy Communities (LECs), mainly use their primary energy resources to cover their heating and cooling needs. Such a community is the LEC of DUTh’s University campus in Xanthi, Greece. The community has installed several Renewable Energy Sources (RES) technologies to exploit the available primary energy and to cover the respective demands. However, an inability to cover the demand is observed in periods like winter or in periods of low renewable energy availability. To tackle that phenomenon, the authors investigated several optimization scenarios, which aim to mitigate the cost of investment as well as the cost of energy (levelized cost of energy - LCoE) and to maximize the thermal energy produced simultaneously — to cover the thermal energy demand — and the RES penetration in the energy mix. A multi-integer linear optimization (MILP) strategy was developed to achieve that. The results were further analyzed via a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis. The results of the study concluded that an ideal solution for the system might be an increase in solar collector area (by 40%), the thermal energy storage system’s (TESS) volume (by 213%), and the biomass boiler’s capacity (by 107%) to meet the load of 1,814.48 MWhth/yr and to provide the required energy security to the community. The selected scenario provided an LCoE of 0.16 €/kWh, which is slightly improved compared to the baselines (0.18 €/kWh).
•Optimization strategy using MILP to find an optimal hybrid system solution for an existing installation.•TOPSIS analysis for the evaluation of the previous results of the optimization.•Enlargement of the main systems’ components to meet energy demands and ensure community energy security.•The results of the study concluded that this system could provide an LCoE of 0.16 €/kWh.</description><subject>biomass</subject><subject>Greece</subject><subject>heat</subject><subject>Hybrid system</subject><subject>Local energy community</subject><subject>Multi-integer linear programming</subject><subject>Optimization</subject><subject>primary energy</subject><subject>renewable energy sources</subject><subject>solar collectors</subject><subject>Thermal energy</subject><subject>winter</subject><issn>0960-1481</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kD9PwzAQxT2ARCl8AwZPiCXBZydpsiChqvyRKnWB2XKcS-sqsYvtgsKnJyXM6IYb7r13ej9CboClwKC436ce7TgpZ1ykAGXF2RmZsapgCWQlXJDLEPaMQV4ushnRm0M0vflW0ThLb2lEvbMuQe2s642myqpuCCZQ11JFd0PtTUPDECL29MvEHY079L3q6PjSbwcaovNqi783Y0fLerW8Iuet6gJe_-05eX9avS1fkvXm-XX5uE60EFVMOGc5IOaQqUrkIBTkrBG6qFW50G1RV6IQoi6akiGrRV1mmQLRAm8Fr4taLMSc3E25B-8-jhii7E3Q2HXKojsGKSAfVTzL-SjNJqn2LgSPrTx40ys_SGDyxFHu5cRRnjjKieNoe5hsONb4NOhl0AatxsZ41FE2zvwf8AOJbH-N</recordid><startdate>202310</startdate><enddate>202310</enddate><creator>Lygouras, Eleftherios</creator><creator>Papatsounis, Adamantios G.</creator><creator>Botsaris, Pantelis N.</creator><creator>Pechtelidis, Alexandros</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-2815-594X</orcidid></search><sort><creationdate>202310</creationdate><title>Optimization & techno-economic analysis of a hybrid system with thermal energy storage within a LEC</title><author>Lygouras, Eleftherios ; Papatsounis, Adamantios G. ; Botsaris, Pantelis N. ; Pechtelidis, Alexandros</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-22051ee514a93513a150d3c6ba87cf6b93633b6d80e0b3b844a13f12f32b6b373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>biomass</topic><topic>Greece</topic><topic>heat</topic><topic>Hybrid system</topic><topic>Local energy community</topic><topic>Multi-integer linear programming</topic><topic>Optimization</topic><topic>primary energy</topic><topic>renewable energy sources</topic><topic>solar collectors</topic><topic>Thermal energy</topic><topic>winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lygouras, Eleftherios</creatorcontrib><creatorcontrib>Papatsounis, Adamantios G.</creatorcontrib><creatorcontrib>Botsaris, Pantelis N.</creatorcontrib><creatorcontrib>Pechtelidis, Alexandros</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>Lygouras, Eleftherios</au><au>Papatsounis, Adamantios G.</au><au>Botsaris, Pantelis N.</au><au>Pechtelidis, Alexandros</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization & techno-economic analysis of a hybrid system with thermal energy storage within a LEC</atitle><jtitle>Renewable energy</jtitle><date>2023-10</date><risdate>2023</risdate><volume>215</volume><spage>118920</spage><pages>118920-</pages><artnum>118920</artnum><issn>0960-1481</issn><abstract>The built environment is one of the most energy-intensive actors of energy. The formation of communities, which exploit energy locally, significantly affects the energy transition process to more viable scenarios. These communities, called Local Energy Communities (LECs), mainly use their primary energy resources to cover their heating and cooling needs. Such a community is the LEC of DUTh’s University campus in Xanthi, Greece. The community has installed several Renewable Energy Sources (RES) technologies to exploit the available primary energy and to cover the respective demands. However, an inability to cover the demand is observed in periods like winter or in periods of low renewable energy availability. To tackle that phenomenon, the authors investigated several optimization scenarios, which aim to mitigate the cost of investment as well as the cost of energy (levelized cost of energy - LCoE) and to maximize the thermal energy produced simultaneously — to cover the thermal energy demand — and the RES penetration in the energy mix. A multi-integer linear optimization (MILP) strategy was developed to achieve that. The results were further analyzed via a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis. The results of the study concluded that an ideal solution for the system might be an increase in solar collector area (by 40%), the thermal energy storage system’s (TESS) volume (by 213%), and the biomass boiler’s capacity (by 107%) to meet the load of 1,814.48 MWhth/yr and to provide the required energy security to the community. The selected scenario provided an LCoE of 0.16 €/kWh, which is slightly improved compared to the baselines (0.18 €/kWh).
•Optimization strategy using MILP to find an optimal hybrid system solution for an existing installation.•TOPSIS analysis for the evaluation of the previous results of the optimization.•Enlargement of the main systems’ components to meet energy demands and ensure community energy security.•The results of the study concluded that this system could provide an LCoE of 0.16 €/kWh.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.renene.2023.118920</doi><orcidid>https://orcid.org/0000-0002-2815-594X</orcidid></addata></record> |
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subjects | biomass Greece heat Hybrid system Local energy community Multi-integer linear programming Optimization primary energy renewable energy sources solar collectors Thermal energy winter |
title | Optimization & techno-economic analysis of a hybrid system with thermal energy storage within a LEC |
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