Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/80984 https://doi.org/10.1016/j.epsr.2014.07.012 |
Resumo: | The purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed. |
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Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity gridSimulation Demand response Energy Box Household sector Smart Grid Distribution system operatorThe purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed.FCT (SFRH/BD/88127/2012)Elsevier2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/80984http://hdl.handle.net/10316/80984https://doi.org/10.1016/j.epsr.2014.07.012por0378-7796Miguel, PedroNeves, LuísMartins, A. Gomesinfo: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:RCAAP2019-06-02T12:54:50Zoai:estudogeral.uc.pt:10316/80984Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:03:11.983736Repositório 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 |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid |
title |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid |
spellingShingle |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid Miguel, Pedro Simulation Demand response Energy Box Household sector Smart Grid Distribution system operator |
title_short |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid |
title_full |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid |
title_fullStr |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid |
title_full_unstemmed |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid |
title_sort |
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid |
author |
Miguel, Pedro |
author_facet |
Miguel, Pedro Neves, Luís Martins, A. Gomes |
author_role |
author |
author2 |
Neves, Luís Martins, A. Gomes |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Miguel, Pedro Neves, Luís Martins, A. Gomes |
dc.subject.por.fl_str_mv |
Simulation Demand response Energy Box Household sector Smart Grid Distribution system operator |
topic |
Simulation Demand response Energy Box Household sector Smart Grid Distribution system operator |
description |
The purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 |
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/10316/80984 http://hdl.handle.net/10316/80984 https://doi.org/10.1016/j.epsr.2014.07.012 |
url |
http://hdl.handle.net/10316/80984 https://doi.org/10.1016/j.epsr.2014.07.012 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
0378-7796 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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) |
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 |
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1799133924588257280 |