文章基本信息

标题：Utilising Time of Use Surveys to Predict Domestic Hot Water Consumption and Heat Demand Profiles of Residential Building Stocks
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作者：Olivier Neu ; Simeon Oxizidis ; Damian Flynn 等
期刊名称：International Journal of Environment and Climate Change
印刷版ISSN：2581-8627
出版年度：2016
卷号：6
期号：2
页码：77-89
DOI：10.9734/BJECC/2016/18188
语种：English
出版社：Sciencedomain International
摘要：Aims: The prediction of water consumption patterns is a challenge, especially when water metering is not available at scale. The use of time-of-use survey (TUS) data offers an alternative to metering in order to track the general patterns of water consumption across large and representative groups of end-users. The paper focuses on the prediction of analytical domestic hot water (DHW) demand profiles for detailed building archetype models, using an occupant focused approach based on TUS data. The paper illustrates and discusses the resulting capability of dwelling archetypes to capture variations in heat demand and energy usage for water heating on a national scale and at high time resolution.
关键词：Building simulation;demand side management;domestic hot water;residential buildings;time-of-use survey