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Domestic energy consumption patterns in a hot and arid climate: A multiple-case study analysis

Aldossary, Naief, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 and Kwan, Alan Shu Khen ORCID: https://orcid.org/0000-0003-4206-4435 2014. Domestic energy consumption patterns in a hot and arid climate: A multiple-case study analysis. Renewable Energy 62 , pp. 369-378. 10.1016/j.renene.2013.07.042

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Abstract

The paper evaluates domestic energy consumption patterns in a hot and arid climate, using a multiple case study approach localised in Riyadh city (Saudi Arabia). Riyadh has a characteristically hot and dry climate, and is situated in a geographical region known for its high energy consumption and carbon emission rates. Six properties were selected: three typical houses and three typical flats. The objective is to analyse the average domestic energy consumption of each property using data collected from monthly electricity bills; this usage is then assessed with reference to user behaviour, as captured through interviews with the occupiers of the properties, so as to assist in creating a detailed energy use simulation model using IES-VE software. The results are discussed with reference to both the form and fabric of the selected properties and user behaviour, thereby identifying obvious design weaknesses, which then serve to highlight regionally replicable energy retrofitting solutions (i.e. shading devices, onsite renewable energy sources, and more efficient glazing). To explore these various solutions further, additional IES-VE simulations are conducted that suggest potential energy consumption reductions in the range of 15%–34%. In light of these findings, recommendations that have the potential to be replicable across the region are given.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Sustainable construction; Energy modelling; Domestic sector; Hot and arid climate
Publisher: Elsevier
ISSN: 0960-1481
Last Modified: 11 Dec 2022 09:01
URI: https://orca.cardiff.ac.uk/id/eprint/50199

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