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Household attributes associated with peak period domestic appliance loads

Household appliances represent substantial electricity load within the residential sector, particularly during the electricity system's period of peak evening load. While there is broad understanding of the factors that systematically impact on aggregate residential loads, much less is known ab...

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Detalles Bibliográficos
Autor principal: Curtis, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322269/
https://www.ncbi.nlm.nih.gov/pubmed/34355082
http://dx.doi.org/10.1016/j.heliyon.2021.e07559
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author Curtis, John
author_facet Curtis, John
author_sort Curtis, John
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description Household appliances represent substantial electricity load within the residential sector, particularly during the electricity system's period of peak evening load. While there is broad understanding of the factors that systematically impact on aggregate residential loads, much less is known about appliance loads. A research priority is understanding how socio-demographic, dwelling, and appliance factors are associated with the timing and scale of appliance loads. Using data from Ireland the analysis finds that the number of household occupants; number of appliances; and daytime occupancy of the home are closely associated with appliance loads but varies depending on the time of day. No association is found between appliance uses and building tenure, type or age; or socio-demographic variables such as income, age or education. The empirical findings have relevance for modelling residential electricity loads, and for design of measures to shift residential loads away from the evening peak period.
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spelling pubmed-83222692021-08-04 Household attributes associated with peak period domestic appliance loads Curtis, John Heliyon Research Article Household appliances represent substantial electricity load within the residential sector, particularly during the electricity system's period of peak evening load. While there is broad understanding of the factors that systematically impact on aggregate residential loads, much less is known about appliance loads. A research priority is understanding how socio-demographic, dwelling, and appliance factors are associated with the timing and scale of appliance loads. Using data from Ireland the analysis finds that the number of household occupants; number of appliances; and daytime occupancy of the home are closely associated with appliance loads but varies depending on the time of day. No association is found between appliance uses and building tenure, type or age; or socio-demographic variables such as income, age or education. The empirical findings have relevance for modelling residential electricity loads, and for design of measures to shift residential loads away from the evening peak period. Elsevier 2021-07-12 /pmc/articles/PMC8322269/ /pubmed/34355082 http://dx.doi.org/10.1016/j.heliyon.2021.e07559 Text en © 2021 The Author https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Curtis, John
Household attributes associated with peak period domestic appliance loads
title Household attributes associated with peak period domestic appliance loads
title_full Household attributes associated with peak period domestic appliance loads
title_fullStr Household attributes associated with peak period domestic appliance loads
title_full_unstemmed Household attributes associated with peak period domestic appliance loads
title_short Household attributes associated with peak period domestic appliance loads
title_sort household attributes associated with peak period domestic appliance loads
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322269/
https://www.ncbi.nlm.nih.gov/pubmed/34355082
http://dx.doi.org/10.1016/j.heliyon.2021.e07559
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