Flexibility quantification in households: a swiss case study

Abstract In this paper, a thorough analysis of quantification of the heating appliances’ flexibility provided by 200 households located in the Sion area (Switzerland) is presented. An extended evaluation of the available flexibility throughout the year as well as a correlation analysis between the o...

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Main Authors: Yousra Sidqi, Pierre Ferrez, Dominique Gabioud, Pierre Roduit
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:Energy Informatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s42162-020-00126-4
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author Yousra Sidqi
Pierre Ferrez
Dominique Gabioud
Pierre Roduit
author_facet Yousra Sidqi
Pierre Ferrez
Dominique Gabioud
Pierre Roduit
author_sort Yousra Sidqi
collection DOAJ
description Abstract In this paper, a thorough analysis of quantification of the heating appliances’ flexibility provided by 200 households located in the Sion area (Switzerland) is presented. An extended evaluation of the available flexibility throughout the year as well as a correlation analysis between the outside temperature and flexibility is performed. The influence of pooling households in the prediction process is assessed. The impact of cutting the power to heating appliances and the incurred rebound effect are also described.
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spelling doaj.art-fc018fab9ae04761834c4152688491792022-12-22T00:30:38ZengSpringerOpenEnergy Informatics2520-89422020-10-013S111110.1186/s42162-020-00126-4Flexibility quantification in households: a swiss case studyYousra Sidqi0Pierre Ferrez1Dominique Gabioud2Pierre Roduit3University of Applied Sciences Western SwitzerlandUniversity of Applied Sciences Western SwitzerlandUniversity of Applied Sciences Western SwitzerlandUniversity of Applied Sciences Western SwitzerlandAbstract In this paper, a thorough analysis of quantification of the heating appliances’ flexibility provided by 200 households located in the Sion area (Switzerland) is presented. An extended evaluation of the available flexibility throughout the year as well as a correlation analysis between the outside temperature and flexibility is performed. The influence of pooling households in the prediction process is assessed. The impact of cutting the power to heating appliances and the incurred rebound effect are also described.http://link.springer.com/article/10.1186/s42162-020-00126-4Demand Side Management (DSM)Demand Response (DR)Residential Flexibility
spellingShingle Yousra Sidqi
Pierre Ferrez
Dominique Gabioud
Pierre Roduit
Flexibility quantification in households: a swiss case study
Energy Informatics
Demand Side Management (DSM)
Demand Response (DR)
Residential Flexibility
title Flexibility quantification in households: a swiss case study
title_full Flexibility quantification in households: a swiss case study
title_fullStr Flexibility quantification in households: a swiss case study
title_full_unstemmed Flexibility quantification in households: a swiss case study
title_short Flexibility quantification in households: a swiss case study
title_sort flexibility quantification in households a swiss case study
topic Demand Side Management (DSM)
Demand Response (DR)
Residential Flexibility
url http://link.springer.com/article/10.1186/s42162-020-00126-4
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AT dominiquegabioud flexibilityquantificationinhouseholdsaswisscasestudy
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