Stochastic nonlinear modelling and application of price-based energy flexibility

Detalhes bibliográficos
Autor(a) principal: Junker, Rune Grønborg
Data de Publicação: 2020
Outros Autores: Kallesøe, Carsten Skovmose, Real, Jaume Palmer, Howard, Bianca, Lopes, Rui Amaral, Madsen, Henrik
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/117159
Resumo: DSF1305-00027B 8090-00069B EP/S001670/1
id RCAP_330a3b3820597e441466fc6240eea9dc
oai_identifier_str oai:run.unl.pt:10362/117159
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Stochastic nonlinear modelling and application of price-based energy flexibilityDemand responseEnergy flexibilityFlexibility functionState space modelStochastic differential equationsBuilding and ConstructionEnergy(all)Mechanical EngineeringManagement, Monitoring, Policy and LawSDG 7 - Affordable and Clean EnergyDSF1305-00027B 8090-00069B EP/S001670/1If CO2-emissions are to be reduced, the shares of renewable energy sources will have to be significantly increased. However, energy flexibility is required to cope with the increased share of renewable energy. Utilising it necessitates mathematical models of the operational response of energy flexible consumers. In this paper we present an accurate and general dynamic model of energy flexibility based on stochastic differential equations. The intuitive interpretation of the parameters is explained, to show the generality of the proposed model. To validate the approach, the parameters are estimated for three water towers and three buildings controlled by economic model predictive controllers. The model is then used to offer the energy flexibility on the current electricity market of Scandinavia, Nord Pool, using the so called “flexi orders”. Finally, the energy flexibility is used by controlling the demand of the water towers indirectly, through price signals designed based on the proposed model. Compared to having perfect foresight of electricity prices and future demand, between 63% and 98% of the potential savings were obtained in for these case studies. This shows that even without direct control of energy flexible systems, most of the potential can be reached under the current market conditions.CTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNJunker, Rune GrønborgKallesøe, Carsten SkovmoseReal, Jaume PalmerHoward, BiancaLopes, Rui AmaralMadsen, Henrik2021-05-05T23:28:01Z2020-10-012020-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/117159eng0306-2619PURE: 28985101https://doi.org/10.1016/j.apenergy.2020.115096info: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:RCAAP2024-03-11T05:00:13Zoai:run.unl.pt:10362/117159Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:43:30.637085Repositório 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 Stochastic nonlinear modelling and application of price-based energy flexibility
title Stochastic nonlinear modelling and application of price-based energy flexibility
spellingShingle Stochastic nonlinear modelling and application of price-based energy flexibility
Junker, Rune Grønborg
Demand response
Energy flexibility
Flexibility function
State space model
Stochastic differential equations
Building and Construction
Energy(all)
Mechanical Engineering
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
title_short Stochastic nonlinear modelling and application of price-based energy flexibility
title_full Stochastic nonlinear modelling and application of price-based energy flexibility
title_fullStr Stochastic nonlinear modelling and application of price-based energy flexibility
title_full_unstemmed Stochastic nonlinear modelling and application of price-based energy flexibility
title_sort Stochastic nonlinear modelling and application of price-based energy flexibility
author Junker, Rune Grønborg
author_facet Junker, Rune Grønborg
Kallesøe, Carsten Skovmose
Real, Jaume Palmer
Howard, Bianca
Lopes, Rui Amaral
Madsen, Henrik
author_role author
author2 Kallesøe, Carsten Skovmose
Real, Jaume Palmer
Howard, Bianca
Lopes, Rui Amaral
Madsen, Henrik
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv CTS - Centro de Tecnologia e Sistemas
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
RUN
dc.contributor.author.fl_str_mv Junker, Rune Grønborg
Kallesøe, Carsten Skovmose
Real, Jaume Palmer
Howard, Bianca
Lopes, Rui Amaral
Madsen, Henrik
dc.subject.por.fl_str_mv Demand response
Energy flexibility
Flexibility function
State space model
Stochastic differential equations
Building and Construction
Energy(all)
Mechanical Engineering
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
topic Demand response
Energy flexibility
Flexibility function
State space model
Stochastic differential equations
Building and Construction
Energy(all)
Mechanical Engineering
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
description DSF1305-00027B 8090-00069B EP/S001670/1
publishDate 2020
dc.date.none.fl_str_mv 2020-10-01
2020-10-01T00:00:00Z
2021-05-05T23:28:01Z
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/10362/117159
url http://hdl.handle.net/10362/117159
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0306-2619
PURE: 28985101
https://doi.org/10.1016/j.apenergy.2020.115096
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.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
repository.mail.fl_str_mv
_version_ 1799138044610084864

Registros relacionados