Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities

The emergence of novel demand-side management strategies is provoking that residential consumers cannot be longer categorized as inflexible loads. In that sense, new paradigms such as flexible demand and vehicle-to-home capabilities have appeared on pursuing a more efficient management of the differ...

ver descrição completa

Detalhes bibliográficos
Autores: Tostado-Véliz, Marcos, León-Japa, Rogelio S., Jurado-Melguizo, Francisco
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Recursos:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/2862
Acesso em linha:https://www.sciencedirect.com/science/article/pii/S0306261921006127
https://hdl.handle.net/10953/2862
Access Level:acceso abierto
Palavra-chave:Off-grid smart home
Flexible demand
Vehicle-to-home
Mixed-Integer Linear Programming
id ES_1893ec45600be2ea3faa721531f135b2
oai_identifier_str oai:ruja.ujaen.es:10953/2862
network_acronym_str ES
network_name_str España
repository_id_str
spelling Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilitiesTostado-Véliz, MarcosLeón-Japa, Rogelio S.Jurado-Melguizo, FranciscoOff-grid smart homeFlexible demandVehicle-to-homeMixed-Integer Linear ProgrammingThe emergence of novel demand-side management strategies is provoking that residential consumers cannot be longer categorized as inflexible loads. In that sense, new paradigms such as flexible demand and vehicle-to-home capabilities have appeared on pursuing a more efficient management of the different domestic assets such as smart appliances, small renewable generators and storage facilities. Consideration of such kind of management strategies plays a vital role on designing stages of electrifications systems for isolated homes. In this regard, a proper evaluation of possible demand-side capabilities enables a more accurate evaluation of the electrification project. This paper tackles this issue by developing a Mixed Integer Linear Programming formulation for optimal planning of electrification systems for off-grid dwellings. The developed framework allows to incorporate and analyse advanced demand-side strategies such as deferrable loads and vehicle-to-home processes by evaluating different project costs over various time horizons. The proposed approach is applied to a benchmark off-grid residential case study and various results are provided and analysed. As the most relevant result, it is worth remarking that total project cost can be reduced by ~21.2% and ~25.73% by considering flexible demand and vehicle-to-home capabilities, respectively. Nevertheless, the highest monetary savings were achieved when both strategies are jointly adopted, reducing the total project cost up to ~41.5%. The reported results demonstrate the importance of considering the different demand-side strategies on planning stages of electrification systems for off-grid dwellings.Elsevier202420242021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0306261921006127https://hdl.handle.net/10953/2862reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésApplied Energy [2021]; [298]; [117184]info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/28622026-06-24T12:41:07Z
dc.title.none.fl_str_mv Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
title Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
spellingShingle Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
Tostado-Véliz, Marcos
Off-grid smart home
Flexible demand
Vehicle-to-home
Mixed-Integer Linear Programming
title_short Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
title_full Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
title_fullStr Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
title_full_unstemmed Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
title_sort Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities
dc.creator.none.fl_str_mv Tostado-Véliz, Marcos
León-Japa, Rogelio S.
Jurado-Melguizo, Francisco
author Tostado-Véliz, Marcos
author_facet Tostado-Véliz, Marcos
León-Japa, Rogelio S.
Jurado-Melguizo, Francisco
author_role author
author2 León-Japa, Rogelio S.
Jurado-Melguizo, Francisco
author2_role author
author
dc.subject.none.fl_str_mv Off-grid smart home
Flexible demand
Vehicle-to-home
Mixed-Integer Linear Programming
topic Off-grid smart home
Flexible demand
Vehicle-to-home
Mixed-Integer Linear Programming
description The emergence of novel demand-side management strategies is provoking that residential consumers cannot be longer categorized as inflexible loads. In that sense, new paradigms such as flexible demand and vehicle-to-home capabilities have appeared on pursuing a more efficient management of the different domestic assets such as smart appliances, small renewable generators and storage facilities. Consideration of such kind of management strategies plays a vital role on designing stages of electrifications systems for isolated homes. In this regard, a proper evaluation of possible demand-side capabilities enables a more accurate evaluation of the electrification project. This paper tackles this issue by developing a Mixed Integer Linear Programming formulation for optimal planning of electrification systems for off-grid dwellings. The developed framework allows to incorporate and analyse advanced demand-side strategies such as deferrable loads and vehicle-to-home processes by evaluating different project costs over various time horizons. The proposed approach is applied to a benchmark off-grid residential case study and various results are provided and analysed. As the most relevant result, it is worth remarking that total project cost can be reduced by ~21.2% and ~25.73% by considering flexible demand and vehicle-to-home capabilities, respectively. Nevertheless, the highest monetary savings were achieved when both strategies are jointly adopted, reducing the total project cost up to ~41.5%. The reported results demonstrate the importance of considering the different demand-side strategies on planning stages of electrification systems for off-grid dwellings.
publishDate 2021
dc.date.none.fl_str_mv 2021
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0306261921006127
https://hdl.handle.net/10953/2862
url https://www.sciencedirect.com/science/article/pii/S0306261921006127
https://hdl.handle.net/10953/2862
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Applied Energy [2021]; [298]; [117184]
dc.rights.none.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:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869403994248445952
score 15,223283

Registos relacionados