Air conditioner consumption optimization in an office building considering user comfort

Detalhes bibliográficos
Autor(a) principal: Khorram Ghahfarrokhi, Mahsa
Data de Publicação: 2020
Outros Autores: Faria, Pedro, Abrishambaf, Omid, Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/16799
Resumo: The rapid growth of energy consumption and its consequences in the last decades, made the world persuaded to energy optimization and energy management. Therefore, producers and prosumers should be equipped with the automation infrastructures to perform the management programs, such as demand response programs. Office buildings are considering as a proper case for implementing energy consumption minimization since they are responsible for a huge portion of total energy consumption in the world. This paper proposes a multi-period optimization algorithm implemented in Supervisory Control and Data Acquisition system of an office building. The developed optimization algorithm is an efficient solution considered for minimizing the power consumption of air conditioners by considering the user comfort constraints. Two determinative parameters are defined to prevent over-power reduction from certain devices. In order to respect to user preferences, priority numbers are dedicated to each air conditioner to present the importance of each device. A case study with several scenarios is implemented to verify the performance of the proposed algorithm in real life using real data of the building. The obtained results show the impacts of proposed parameters and different comfort constraints of algorithm while the main target of the optimization has been reached.
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spelling Air conditioner consumption optimization in an office building considering user comfortMulti-period optimizationAir conditionerUser comfortSCADA systemOffice buildingThe rapid growth of energy consumption and its consequences in the last decades, made the world persuaded to energy optimization and energy management. Therefore, producers and prosumers should be equipped with the automation infrastructures to perform the management programs, such as demand response programs. Office buildings are considering as a proper case for implementing energy consumption minimization since they are responsible for a huge portion of total energy consumption in the world. This paper proposes a multi-period optimization algorithm implemented in Supervisory Control and Data Acquisition system of an office building. The developed optimization algorithm is an efficient solution considered for minimizing the power consumption of air conditioners by considering the user comfort constraints. Two determinative parameters are defined to prevent over-power reduction from certain devices. In order to respect to user preferences, priority numbers are dedicated to each air conditioner to present the importance of each device. A case study with several scenarios is implemented to verify the performance of the proposed algorithm in real life using real data of the building. The obtained results show the impacts of proposed parameters and different comfort constraints of algorithm while the main target of the optimization has been reached.The present work was done and funded in the scope of the following projects: MAS-Society Project PTDC/EEI-EEE/28954/2017 and UID/EEA/00760/2019 funded by FEDER, Spain Funds through COMPETE program and byNational Funds through FCT, Portugal.ElsevierRepositório Científico do Instituto Politécnico do PortoKhorram Ghahfarrokhi, MahsaFaria, PedroAbrishambaf, OmidVale, Zita2021-01-29T15:13:32Z2020-032020-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/16799eng2352-484710.1016/j.egyr.2019.08.029info: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:RCAAP2023-03-13T13:04:23Zoai:recipp.ipp.pt:10400.22/16799Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:36:25.936681Repositório 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 Air conditioner consumption optimization in an office building considering user comfort
title Air conditioner consumption optimization in an office building considering user comfort
spellingShingle Air conditioner consumption optimization in an office building considering user comfort
Khorram Ghahfarrokhi, Mahsa
Multi-period optimization
Air conditioner
User comfort
SCADA system
Office building
title_short Air conditioner consumption optimization in an office building considering user comfort
title_full Air conditioner consumption optimization in an office building considering user comfort
title_fullStr Air conditioner consumption optimization in an office building considering user comfort
title_full_unstemmed Air conditioner consumption optimization in an office building considering user comfort
title_sort Air conditioner consumption optimization in an office building considering user comfort
author Khorram Ghahfarrokhi, Mahsa
author_facet Khorram Ghahfarrokhi, Mahsa
Faria, Pedro
Abrishambaf, Omid
Vale, Zita
author_role author
author2 Faria, Pedro
Abrishambaf, Omid
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 Khorram Ghahfarrokhi, Mahsa
Faria, Pedro
Abrishambaf, Omid
Vale, Zita
dc.subject.por.fl_str_mv Multi-period optimization
Air conditioner
User comfort
SCADA system
Office building
topic Multi-period optimization
Air conditioner
User comfort
SCADA system
Office building
description The rapid growth of energy consumption and its consequences in the last decades, made the world persuaded to energy optimization and energy management. Therefore, producers and prosumers should be equipped with the automation infrastructures to perform the management programs, such as demand response programs. Office buildings are considering as a proper case for implementing energy consumption minimization since they are responsible for a huge portion of total energy consumption in the world. This paper proposes a multi-period optimization algorithm implemented in Supervisory Control and Data Acquisition system of an office building. The developed optimization algorithm is an efficient solution considered for minimizing the power consumption of air conditioners by considering the user comfort constraints. Two determinative parameters are defined to prevent over-power reduction from certain devices. In order to respect to user preferences, priority numbers are dedicated to each air conditioner to present the importance of each device. A case study with several scenarios is implemented to verify the performance of the proposed algorithm in real life using real data of the building. The obtained results show the impacts of proposed parameters and different comfort constraints of algorithm while the main target of the optimization has been reached.
publishDate 2020
dc.date.none.fl_str_mv 2020-03
2020-03-01T00:00:00Z
2021-01-29T15:13:32Z
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/10400.22/16799
url http://hdl.handle.net/10400.22/16799
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2352-4847
10.1016/j.egyr.2019.08.029
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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