<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Household electricity demand profiles – A high-resolution load model to facilitate modelling of energy flexible buildings

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 May 2016 Denmark Publisher:Elsevier BVJournal:Energy, volume 103, pages 487-501 (issn: 0360-5442,

Authors: Marszal, Anna Joanna; Heiselberg, Per Kvols; Larsen, Olena Kalyanova;

doi: 10.1016/j.energy.2016.02.159

Household electricity demand profiles – A high-resolution load model to facilitate modelling of energy flexible buildings

- Summary
- Subjects
- Metrics

Abstract

Highlights•A 1-min resolution household electricity load model is presented.•Model adapts a bottom-up approach with single appliance as the main building block.•Load profiles are used to analyse the flexibility potential of household appliances.•Load profiles can be applied in other domains, e.g. building energy simulations.•The demand level of houses with different number of occupants is well captured.

Country

Denmark

Related Organizations

Aalborg University Library (AUB) Aalborg Universitet Research Portal
Denmark
Aalborg University Library (AUB)
Denmark
Aalborg University Library (AUB)
Denmark
Aalborg University
Denmark
Aalborg University
Denmark

Keywords

Energy modelling, Flexible demand, Domestic electricity consumption, Household load profiles

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	103
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%