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  • 标题:Utilising Time of Use Surveys to Predict Domestic Hot Water Consumption and Heat Demand Profiles of Residential Building Stocks
  • 本地全文:下载
  • 作者:Olivier Neu ; Simeon Oxizidis ; Damian Flynn
  • 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
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