Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/20667 |
Resumo: | This paper proposed a Mixed Binary Linear Programming (MBLP) approach to find the optimal size of some components of a Smart Building (SB) attempting to reduce the overall cost. The considered SB is equipped with local resources such as Photovoltaic (PV) panels, Electrical Vehicles (EVs), and the Battery Energy Storage System (BESS). Moreover, the SB is only connected with the grid by an Energy Management System (EMS) in which the whole SB has a single Contract Power (CP) such that EMS manages the power flow among external grid, local resources, apartments, and common services, for the goal of reducing the electricity bill. Hence, the wrong choice of CP and BESS capacity will impose unnecessary charges on the electricity bill. As a results, EMS has played a crucial role in SB in determining the best CP and BESS values. The obtained results of this work show the efficiency of the model in which by finding the optimal capacity of CP and BESS, the electricity bill improves by a 34% reduction |
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Optimal Contract Power and Battery Energy Storage System Capacity for Smart BuildingsEnergy Management SystemMixed Binary Linear ProgrammingOptimal value of Contract PowerOptimal Size of BESSRenewable EnergySmart BuildingThis paper proposed a Mixed Binary Linear Programming (MBLP) approach to find the optimal size of some components of a Smart Building (SB) attempting to reduce the overall cost. The considered SB is equipped with local resources such as Photovoltaic (PV) panels, Electrical Vehicles (EVs), and the Battery Energy Storage System (BESS). Moreover, the SB is only connected with the grid by an Energy Management System (EMS) in which the whole SB has a single Contract Power (CP) such that EMS manages the power flow among external grid, local resources, apartments, and common services, for the goal of reducing the electricity bill. Hence, the wrong choice of CP and BESS capacity will impose unnecessary charges on the electricity bill. As a results, EMS has played a crucial role in SB in determining the best CP and BESS values. The obtained results of this work show the efficiency of the model in which by finding the optimal capacity of CP and BESS, the electricity bill improves by a 34% reductionThis work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project BENEFICE-PTDC/EEI-EEE/29070/2017 and UIDB/00760/2020 under CEECIND/02814/2017 grant.IEEERepositório Científico do Instituto Politécnico do PortoForoozandeh, ZahraRamos, SérgioSoares, JoãoVale, Zita2022-07-07T08:44:26Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdftext/plain; charset=utf-8http://hdl.handle.net/10400.22/20667eng10.1109/ISGTEurope52324.2021.9640123info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:16:12Zoai:recipp.ipp.pt:10400.22/20667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:40:43.230073Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings |
title |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings |
spellingShingle |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings Foroozandeh, Zahra Energy Management System Mixed Binary Linear Programming Optimal value of Contract Power Optimal Size of BESS Renewable Energy Smart Building |
title_short |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings |
title_full |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings |
title_fullStr |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings |
title_full_unstemmed |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings |
title_sort |
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings |
author |
Foroozandeh, Zahra |
author_facet |
Foroozandeh, Zahra Ramos, Sérgio Soares, João Vale, Zita |
author_role |
author |
author2 |
Ramos, Sérgio Soares, João Vale, Zita |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Foroozandeh, Zahra Ramos, Sérgio Soares, João Vale, Zita |
dc.subject.por.fl_str_mv |
Energy Management System Mixed Binary Linear Programming Optimal value of Contract Power Optimal Size of BESS Renewable Energy Smart Building |
topic |
Energy Management System Mixed Binary Linear Programming Optimal value of Contract Power Optimal Size of BESS Renewable Energy Smart Building |
description |
This paper proposed a Mixed Binary Linear Programming (MBLP) approach to find the optimal size of some components of a Smart Building (SB) attempting to reduce the overall cost. The considered SB is equipped with local resources such as Photovoltaic (PV) panels, Electrical Vehicles (EVs), and the Battery Energy Storage System (BESS). Moreover, the SB is only connected with the grid by an Energy Management System (EMS) in which the whole SB has a single Contract Power (CP) such that EMS manages the power flow among external grid, local resources, apartments, and common services, for the goal of reducing the electricity bill. Hence, the wrong choice of CP and BESS capacity will impose unnecessary charges on the electricity bill. As a results, EMS has played a crucial role in SB in determining the best CP and BESS values. The obtained results of this work show the efficiency of the model in which by finding the optimal capacity of CP and BESS, the electricity bill improves by a 34% reduction |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2022-07-07T08:44:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/20667 |
url |
http://hdl.handle.net/10400.22/20667 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1109/ISGTEurope52324.2021.9640123 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/plain; charset=utf-8 |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131495571390464 |