Lighting Consumption Optimization in a Residential House Based on Electricity Price

Detalhes bibliográficos
Autor(a) principal: Ghahfarrokhi, Mahsa Khorram
Data de Publicação: 2021
Outros Autores: Nogueira, Teresa Alexandra
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.34630/neutroaterra.vi24.4417
Resumo: The increment of the electricity consumption around the world has led many efforts on the network operators to reduce the consumption in the demand side and encourage to increase the use of renewable energies. Since the buildings have a significant part in energy consumption, and lighting systems have an important role in the energy consumption of the buildings, the optimization of the lighting system should be effective. Hence, the focus of this paper is to minimize the lamps consumption of a residential house based on electricity price and try to take advantages from photovoltaic generation as much as possible. The methodology of this work is proposed as a linear optimization problem that manages the generation of a renewable energy re-source, which supplies a part of the energy consumption of the house. For the case studies, the amount of the renewable energy generation, total consumption of building, consumption of the lights, and electricity price are considered.
id RCAP_9f991cb50c97ec4bfe182215a74bb782
oai_identifier_str oai:oai.parc.ipp.pt:article/4417
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Lighting Consumption Optimization in a Residential House Based on Electricity PriceOptimizationRenewable EnergyPhotovoltaicThe increment of the electricity consumption around the world has led many efforts on the network operators to reduce the consumption in the demand side and encourage to increase the use of renewable energies. Since the buildings have a significant part in energy consumption, and lighting systems have an important role in the energy consumption of the buildings, the optimization of the lighting system should be effective. Hence, the focus of this paper is to minimize the lamps consumption of a residential house based on electricity price and try to take advantages from photovoltaic generation as much as possible. The methodology of this work is proposed as a linear optimization problem that manages the generation of a renewable energy re-source, which supplies a part of the energy consumption of the house. For the case studies, the amount of the renewable energy generation, total consumption of building, consumption of the lights, and electricity price are considered.Instituto Superior de Engenharia do Porto2021-11-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.34630/neutroaterra.vi24.4417oai:oai.parc.ipp.pt:article/4417Neutro à Terra; No. 24 (2019): Revista Técnico-Científica (Segundo Semestre); 45-49Neutro à Terra; N.º 24 (2019): Revista Técnico-Científica (Segundo Semestre); 45-491647-5496reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://parc.ipp.pt/index.php/neutroaterra/article/view/4417https://doi.org/10.34630/neutroaterra.vi24.4417https://parc.ipp.pt/index.php/neutroaterra/article/view/4417/2175https://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessGhahfarrokhi, Mahsa KhorramNogueira, Teresa Alexandra2022-09-22T10:29:47Zoai:oai.parc.ipp.pt:article/4417Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:57:44.111503Repositório 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 Lighting Consumption Optimization in a Residential House Based on Electricity Price
title Lighting Consumption Optimization in a Residential House Based on Electricity Price
spellingShingle Lighting Consumption Optimization in a Residential House Based on Electricity Price
Ghahfarrokhi, Mahsa Khorram
Optimization
Renewable Energy
Photovoltaic
title_short Lighting Consumption Optimization in a Residential House Based on Electricity Price
title_full Lighting Consumption Optimization in a Residential House Based on Electricity Price
title_fullStr Lighting Consumption Optimization in a Residential House Based on Electricity Price
title_full_unstemmed Lighting Consumption Optimization in a Residential House Based on Electricity Price
title_sort Lighting Consumption Optimization in a Residential House Based on Electricity Price
author Ghahfarrokhi, Mahsa Khorram
author_facet Ghahfarrokhi, Mahsa Khorram
Nogueira, Teresa Alexandra
author_role author
author2 Nogueira, Teresa Alexandra
author2_role author
dc.contributor.author.fl_str_mv Ghahfarrokhi, Mahsa Khorram
Nogueira, Teresa Alexandra
dc.subject.por.fl_str_mv Optimization
Renewable Energy
Photovoltaic
topic Optimization
Renewable Energy
Photovoltaic
description The increment of the electricity consumption around the world has led many efforts on the network operators to reduce the consumption in the demand side and encourage to increase the use of renewable energies. Since the buildings have a significant part in energy consumption, and lighting systems have an important role in the energy consumption of the buildings, the optimization of the lighting system should be effective. Hence, the focus of this paper is to minimize the lamps consumption of a residential house based on electricity price and try to take advantages from photovoltaic generation as much as possible. The methodology of this work is proposed as a linear optimization problem that manages the generation of a renewable energy re-source, which supplies a part of the energy consumption of the house. For the case studies, the amount of the renewable energy generation, total consumption of building, consumption of the lights, and electricity price are considered.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-10T00:00:00Z
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 https://doi.org/10.34630/neutroaterra.vi24.4417
oai:oai.parc.ipp.pt:article/4417
url https://doi.org/10.34630/neutroaterra.vi24.4417
identifier_str_mv oai:oai.parc.ipp.pt:article/4417
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://parc.ipp.pt/index.php/neutroaterra/article/view/4417
https://doi.org/10.34630/neutroaterra.vi24.4417
https://parc.ipp.pt/index.php/neutroaterra/article/view/4417/2175
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Superior de Engenharia do Porto
publisher.none.fl_str_mv Instituto Superior de Engenharia do Porto
dc.source.none.fl_str_mv Neutro à Terra; No. 24 (2019): Revista Técnico-Científica (Segundo Semestre); 45-49
Neutro à Terra; N.º 24 (2019): Revista Técnico-Científica (Segundo Semestre); 45-49
1647-5496
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)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799130444824838144