Review and assessment of the different categories of demand response potentials

Detalhes bibliográficos
Autor(a) principal: Dranka, Geremi Gilson
Data de Publicação: 2019
Outros Autores: Ferreira, Paula Varandas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/70750
Resumo: Demand Response (DR) is a well-known concept which has been recognized as an increasingly valuable tool to provide flexibility to the power system, to support the integration of Variable Renewable Energy (VRE) resources and to manage the grid more efficiently. In recent years, there have been a growing number of publications focusing on the estimation of different categories of DR potentials (e.g. theoretical, technical, economic, and achievable) using different methodologies and assumptions in each research study. The contribution of the present study is twofold. Firstly, a literature review is undertaken focusing specifically on the categorization of the scientific approaches used to estimate the different categories of DR potentials. To the best of authors' knowledge, a general procedure for the estimation of each DR potential category is still missing. Therefore, a novel user-friendly and step-by-step theoretical framework for the determination of the different categories of DR potentials is presented. Findings of this study reveal that literature has extensively focused on the estimation of the technical DR potential followed by the economic, theoretical and achievable potentials respectively. A lack of understanding of the different categories of DR potentials was also identified, which sometimes have been unduly used in the literature. The proposed framework is supported on a small sample of numerical approaches and equations which results in a structured approach to bringing consensus to the DR potential assessment. (C) 2019 Elsevier Ltd. All rights reserved.
id RCAP_0e5a882051b5fc9d94c058d0337e0f30
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/70750
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str
spelling Review and assessment of the different categories of demand response potentialsDemand response (DR)Demand-side management (DSM)Load flexibilityCategories of DR potentialsRenewable energyScience & TechnologyDemand Response (DR) is a well-known concept which has been recognized as an increasingly valuable tool to provide flexibility to the power system, to support the integration of Variable Renewable Energy (VRE) resources and to manage the grid more efficiently. In recent years, there have been a growing number of publications focusing on the estimation of different categories of DR potentials (e.g. theoretical, technical, economic, and achievable) using different methodologies and assumptions in each research study. The contribution of the present study is twofold. Firstly, a literature review is undertaken focusing specifically on the categorization of the scientific approaches used to estimate the different categories of DR potentials. To the best of authors' knowledge, a general procedure for the estimation of each DR potential category is still missing. Therefore, a novel user-friendly and step-by-step theoretical framework for the determination of the different categories of DR potentials is presented. Findings of this study reveal that literature has extensively focused on the estimation of the technical DR potential followed by the economic, theoretical and achievable potentials respectively. A lack of understanding of the different categories of DR potentials was also identified, which sometimes have been unduly used in the literature. The proposed framework is supported on a small sample of numerical approaches and equations which results in a structured approach to bringing consensus to the DR potential assessment. (C) 2019 Elsevier Ltd. All rights reserved.This work is supported by the National Council for Scientific and Technological Development (CNPq), Brazil. This work has been supported by FCT - Fundacao para a Ciencia e Tecnologia (Portugal) within the Project Scope: UID/CEC/00319/2019 and the ERDF - European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation COMPETE 2020 Programme, and by National Funds through FCT, within project SAICTPAC/0004/2015 POCI/01/0145/FEDER/016434.ElsevierUniversidade do MinhoDranka, Geremi GilsonFerreira, Paula Varandas20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/70750eng0360-544210.1016/j.energy.2019.05.009https://www.sciencedirect.com/science/article/pii/S0360544219308722info: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:RCAAP2023-07-21T12:28:17ZPortal AgregadorONG
dc.title.none.fl_str_mv Review and assessment of the different categories of demand response potentials
title Review and assessment of the different categories of demand response potentials
spellingShingle Review and assessment of the different categories of demand response potentials
Dranka, Geremi Gilson
Demand response (DR)
Demand-side management (DSM)
Load flexibility
Categories of DR potentials
Renewable energy
Science & Technology
title_short Review and assessment of the different categories of demand response potentials
title_full Review and assessment of the different categories of demand response potentials
title_fullStr Review and assessment of the different categories of demand response potentials
title_full_unstemmed Review and assessment of the different categories of demand response potentials
title_sort Review and assessment of the different categories of demand response potentials
author Dranka, Geremi Gilson
author_facet Dranka, Geremi Gilson
Ferreira, Paula Varandas
author_role author
author2 Ferreira, Paula Varandas
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Dranka, Geremi Gilson
Ferreira, Paula Varandas
dc.subject.por.fl_str_mv Demand response (DR)
Demand-side management (DSM)
Load flexibility
Categories of DR potentials
Renewable energy
Science & Technology
topic Demand response (DR)
Demand-side management (DSM)
Load flexibility
Categories of DR potentials
Renewable energy
Science & Technology
description Demand Response (DR) is a well-known concept which has been recognized as an increasingly valuable tool to provide flexibility to the power system, to support the integration of Variable Renewable Energy (VRE) resources and to manage the grid more efficiently. In recent years, there have been a growing number of publications focusing on the estimation of different categories of DR potentials (e.g. theoretical, technical, economic, and achievable) using different methodologies and assumptions in each research study. The contribution of the present study is twofold. Firstly, a literature review is undertaken focusing specifically on the categorization of the scientific approaches used to estimate the different categories of DR potentials. To the best of authors' knowledge, a general procedure for the estimation of each DR potential category is still missing. Therefore, a novel user-friendly and step-by-step theoretical framework for the determination of the different categories of DR potentials is presented. Findings of this study reveal that literature has extensively focused on the estimation of the technical DR potential followed by the economic, theoretical and achievable potentials respectively. A lack of understanding of the different categories of DR potentials was also identified, which sometimes have been unduly used in the literature. The proposed framework is supported on a small sample of numerical approaches and equations which results in a structured approach to bringing consensus to the DR potential assessment. (C) 2019 Elsevier Ltd. All rights reserved.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
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 http://hdl.handle.net/1822/70750
url http://hdl.handle.net/1822/70750
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0360-5442
10.1016/j.energy.2019.05.009
https://www.sciencedirect.com/science/article/pii/S0360544219308722
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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)
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1777303765552988160