Lighting Consumption Optimization in a Residential House Based on Electricity Price
Main Author: | |
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Publication Date: | 2021 |
Other Authors: | |
Format: | Article |
Language: | por |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://doi.org/10.34630/neutroaterra.vi24.4417 |
Summary: | 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. |
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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron: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/4417/2175Ghahfarrokhi, Mahsa KhorramNogueira, Teresa Alexandrainfo:eu-repo/semantics/openAccess2022-09-22T10:29:47Zoai:oai.parc.ipp.pt:article/4417Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T10:17:45.917304Repositórios 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 |
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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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