A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification

Heating decarbonisation through electrification is a difficult challenge due to the considerable increase in peak power demand. This research proposes a novel modelling approach that utilises easily accessible national-level data to identify the required heat storage volume in buildings to decrease...

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Autores: Lizana Moral, Francisco Jesús, Halloran, Claire E., Wheeler, Scot, Amghar, Nabil, Renaldi, Renaldi, Killendahl, Markus, Pérez Maqueda, Luis Allan, McCulloch, Malcolm, Chacartegui, Ricardo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/142546
Acceso en línea:https://hdl.handle.net/11441/142546
https://doi.org/10.1016/j.energy.2022.125298
Access Level:acceso abierto
Palabra clave:Thermal energy storage
Energy flexibility
Heating
Demand-side response
Heat pump
Heating decarbonisation
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spelling A national data-based energy modelling to identify optimal heat storage capacity to support heating electrificationLizana Moral, Francisco JesúsHalloran, Claire E.Wheeler, ScotAmghar, NabilRenaldi, RenaldiKillendahl, MarkusPérez Maqueda, Luis AllanMcCulloch, MalcolmChacartegui, RicardoThermal energy storageEnergy flexibilityHeatingDemand-side responseHeat pumpHeating decarbonisationHeating decarbonisation through electrification is a difficult challenge due to the considerable increase in peak power demand. This research proposes a novel modelling approach that utilises easily accessible national-level data to identify the required heat storage volume in buildings to decrease peak power demand and maximises carbon reductions associated with electrified heating technologies through smart demand-side response. The approach assesses the optimal shifting of heat pump operation to meet thermal heating demand according to different heat storage capacities in buildings, which are defined in relation to the time (in hours) in which the heating demand can be provided directly from the heat battery, without heat pump operation. Ten scenarios (S) are analysed: two baselines (S1–S2) and eight load shifting strategies (S3–S10) based on hourly and daily demand-side responses. Moreover, they are compared with a reference scenario (S0), with heating currently based on fossil fuels. The approach was demonstrated in two different regions, Spain and the United Kingdom. The optimal heat storage capacity was found on the order of 12 and 24 h of heating demand in both countries, reducing additional power capacity by 30–37% and 40–46%, respectively. However, the environmental benefits of heat storage alternatives were similar to the baseline scenario due to higher energy consumption and marginal power generation based on fossil fuels. It was also found that load shifting capability below 4 h presents limited benefits, reducing additional power capacity by 10% at the national scale. The results highlight the importance of integrated heat storage technologies with the electrification of heat in highly gas-dependent regions. They can mitigate the need for an additional fossil-based dispatchable generation to meet high peak demand. The modelling approach provides a high-level strategy with regional specificity that, due to common datasets, can be easily replicated globally. For reproducibility, the code base and datasets are found on GitHub.ElsevierIngeniería EnergéticaTEP137: Máquinas y motores térmicosMinisterio de Ciencia e Innovación (MICIN). EspañaMinisterio de Educación, Cultura y Deporte (MECD). EspañaUnión Europea - H20202023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/142546https://doi.org/10.1016/j.energy.2022.125298reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergy, 262, part A, 125298.FJC2019-039480-IPRE2018-085866Marie Skłodowska-Curie grant agreement No 101023241https://www.sciencedirect.com/science/article/pii/S036054422202182Xinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/1425462026-06-17T12:51:07Z
dc.title.none.fl_str_mv A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
title A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
spellingShingle A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
Lizana Moral, Francisco Jesús
Thermal energy storage
Energy flexibility
Heating
Demand-side response
Heat pump
Heating decarbonisation
title_short A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
title_full A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
title_fullStr A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
title_full_unstemmed A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
title_sort A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification
dc.creator.none.fl_str_mv Lizana Moral, Francisco Jesús
Halloran, Claire E.
Wheeler, Scot
Amghar, Nabil
Renaldi, Renaldi
Killendahl, Markus
Pérez Maqueda, Luis Allan
McCulloch, Malcolm
Chacartegui, Ricardo
author Lizana Moral, Francisco Jesús
author_facet Lizana Moral, Francisco Jesús
Halloran, Claire E.
Wheeler, Scot
Amghar, Nabil
Renaldi, Renaldi
Killendahl, Markus
Pérez Maqueda, Luis Allan
McCulloch, Malcolm
Chacartegui, Ricardo
author_role author
author2 Halloran, Claire E.
Wheeler, Scot
Amghar, Nabil
Renaldi, Renaldi
Killendahl, Markus
Pérez Maqueda, Luis Allan
McCulloch, Malcolm
Chacartegui, Ricardo
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería Energética
TEP137: Máquinas y motores térmicos
Ministerio de Ciencia e Innovación (MICIN). España
Ministerio de Educación, Cultura y Deporte (MECD). España
Unión Europea - H2020
dc.subject.none.fl_str_mv Thermal energy storage
Energy flexibility
Heating
Demand-side response
Heat pump
Heating decarbonisation
topic Thermal energy storage
Energy flexibility
Heating
Demand-side response
Heat pump
Heating decarbonisation
description Heating decarbonisation through electrification is a difficult challenge due to the considerable increase in peak power demand. This research proposes a novel modelling approach that utilises easily accessible national-level data to identify the required heat storage volume in buildings to decrease peak power demand and maximises carbon reductions associated with electrified heating technologies through smart demand-side response. The approach assesses the optimal shifting of heat pump operation to meet thermal heating demand according to different heat storage capacities in buildings, which are defined in relation to the time (in hours) in which the heating demand can be provided directly from the heat battery, without heat pump operation. Ten scenarios (S) are analysed: two baselines (S1–S2) and eight load shifting strategies (S3–S10) based on hourly and daily demand-side responses. Moreover, they are compared with a reference scenario (S0), with heating currently based on fossil fuels. The approach was demonstrated in two different regions, Spain and the United Kingdom. The optimal heat storage capacity was found on the order of 12 and 24 h of heating demand in both countries, reducing additional power capacity by 30–37% and 40–46%, respectively. However, the environmental benefits of heat storage alternatives were similar to the baseline scenario due to higher energy consumption and marginal power generation based on fossil fuels. It was also found that load shifting capability below 4 h presents limited benefits, reducing additional power capacity by 10% at the national scale. The results highlight the importance of integrated heat storage technologies with the electrification of heat in highly gas-dependent regions. They can mitigate the need for an additional fossil-based dispatchable generation to meet high peak demand. The modelling approach provides a high-level strategy with regional specificity that, due to common datasets, can be easily replicated globally. For reproducibility, the code base and datasets are found on GitHub.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/142546
https://doi.org/10.1016/j.energy.2022.125298
url https://hdl.handle.net/11441/142546
https://doi.org/10.1016/j.energy.2022.125298
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energy, 262, part A, 125298.
FJC2019-039480-I
PRE2018-085866
Marie Skłodowska-Curie grant agreement No 101023241
https://www.sciencedirect.com/science/article/pii/S036054422202182X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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