Demand response strategies in residential buildings clusters to limit HVAC peak demand

Due to the increasing spread of residential heating systems electrically powered, buildings show a great potential in producing demand side management strategies addressing their thermal loads. Indeed, exploiting the intrinsic characteristics of the heating/cooling systems (i.e. the thermal inertia...

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Autores principales: Mugnini Alice, Polonara Fabio, Arteconi Alessia
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FR
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/7ebd816934414eb99e027b18716b8149
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spelling oai:doaj.org-article:7ebd816934414eb99e027b18716b81492021-11-08T15:18:51ZDemand response strategies in residential buildings clusters to limit HVAC peak demand2267-124210.1051/e3sconf/202131209001https://doaj.org/article/7ebd816934414eb99e027b18716b81492021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_09001.pdfhttps://doaj.org/toc/2267-1242Due to the increasing spread of residential heating systems electrically powered, buildings show a great potential in producing demand side management strategies addressing their thermal loads. Indeed, exploiting the intrinsic characteristics of the heating/cooling systems (i.e. the thermal inertia level), buildings could represent an interesting solution to reduce the electricity peak demand and to optimize the balance between demand and supply. The objective of this paper is to analyse the potential benefits that can be obtained if the electricity demand derived from the heating systems of a building cluster is managed with demand response strategies. A simulation-based analysis is presented in which a cluster of residential archetypal buildings are investigated. The buildings differ from each other for construction features and type of heating system (e.g. underfloor heating or with fan coil units). By supposing to be able to activate the energy flexibility of the single building with thermostatic load control, an optimized logic is implemented to produce programmatically an hourly electricity peak reduction. Results show how the involvement of buildings with different characteristics depends on the compromise that wants to be achieved in terms of minimization of both the rebound effects and the variation of the internal temperature setpoint.Mugnini AlicePolonara FabioArteconi AlessiaEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 312, p 09001 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Mugnini Alice
Polonara Fabio
Arteconi Alessia
Demand response strategies in residential buildings clusters to limit HVAC peak demand
description Due to the increasing spread of residential heating systems electrically powered, buildings show a great potential in producing demand side management strategies addressing their thermal loads. Indeed, exploiting the intrinsic characteristics of the heating/cooling systems (i.e. the thermal inertia level), buildings could represent an interesting solution to reduce the electricity peak demand and to optimize the balance between demand and supply. The objective of this paper is to analyse the potential benefits that can be obtained if the electricity demand derived from the heating systems of a building cluster is managed with demand response strategies. A simulation-based analysis is presented in which a cluster of residential archetypal buildings are investigated. The buildings differ from each other for construction features and type of heating system (e.g. underfloor heating or with fan coil units). By supposing to be able to activate the energy flexibility of the single building with thermostatic load control, an optimized logic is implemented to produce programmatically an hourly electricity peak reduction. Results show how the involvement of buildings with different characteristics depends on the compromise that wants to be achieved in terms of minimization of both the rebound effects and the variation of the internal temperature setpoint.
format article
author Mugnini Alice
Polonara Fabio
Arteconi Alessia
author_facet Mugnini Alice
Polonara Fabio
Arteconi Alessia
author_sort Mugnini Alice
title Demand response strategies in residential buildings clusters to limit HVAC peak demand
title_short Demand response strategies in residential buildings clusters to limit HVAC peak demand
title_full Demand response strategies in residential buildings clusters to limit HVAC peak demand
title_fullStr Demand response strategies in residential buildings clusters to limit HVAC peak demand
title_full_unstemmed Demand response strategies in residential buildings clusters to limit HVAC peak demand
title_sort demand response strategies in residential buildings clusters to limit hvac peak demand
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/7ebd816934414eb99e027b18716b8149
work_keys_str_mv AT mugninialice demandresponsestrategiesinresidentialbuildingsclusterstolimithvacpeakdemand
AT polonarafabio demandresponsestrategiesinresidentialbuildingsclusterstolimithvacpeakdemand
AT arteconialessia demandresponsestrategiesinresidentialbuildingsclusterstolimithvacpeakdemand
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