Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings

Detalhes bibliográficos
Autor(a) principal: Foroozandeh, Zahra
Data de Publicação: 2021
Outros Autores: Ramos, Sérgio, Soares, João, Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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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spelling 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% reductionIEEEREPOSITÓRIO P.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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T03:04:24Zoai:recipp.ipp.pt:10400.22/20667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:39:14.734446Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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 P.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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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