4.1 Article

Identifying and analyzing residential water demand profile; including the impact of COVID-19 and month of Ramadan, for selected developments in Dubai, United Arab Emirates

期刊

WATER SUPPLY
卷 21, 期 3, 页码 1144-1156

出版社

IWA PUBLISHING
DOI: 10.2166/ws.2020.319

关键词

water consumption; water demand profile; water distribution networks; water management

向作者/读者索取更多资源

This study analyzed the domestic water consumption profiles of selected developments in Dubai, considering socio-demographic factors such as weekday/weekend variations, population, income levels, fasting during Ramadan, and the outbreak of COVID-19. The research showed significant differences in consumption profiles under different conditions, which can help in designing more cost and energy efficient networks.
Consumption of water varies throughout the day due to the daily routines of the consumer. This pattern of daily water consumption is called the water demand profile. The initiatives to create these profiles are to improve hydraulic performance and to build energy conservation strategies for designed networks in Dubai. Therefore, the aim of the work presented here was to develop and analyze a domestic consumption profile for selected developments with socio-demographic factors including weekday/weekend variation, population, income, fasting during the month of Ramadan, and the outbreak of COVID-19. Data from more than 7000 smart meters were collected while water meters of more than 350 residential flats were examined manually. Water demand profiles generated from the data showed weekdays have more predictable peaks (morning 6-8 am and evening 5-7 pm) than weekends. During Ramadan, peak hours shifted to 7-10 am followed by 3-4 pm during workdays while peaks for low-income areas were higher due to a stricter working routine. The COVID-19 crisis has led to significant rise in observed consumption, with over a 30% increase during the month of Ramadan. The observed results, if compared with further end-use studies on more factors affecting demand profiles, can help in generating both cost and energy efficient networks.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据