首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:A Global Building Occupant Behavior Database
  • 本地全文:下载
  • 作者:Bing Dong  ; Yapan Liu ; Wei Mu
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-15
  • DOI:10.1038/s41597-022-01475-3
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:This paper introduces a database of 34 feld-measured building occupant behavior datasets collected from 15 countries and 39 institutions across 10 climatic zones covering various building types in both commercial and residential sectors . This is a comprehensive global database about building occupant behavior. The database includes occupancy patterns (i .e ., presence and people count) and occupant behaviors (i .e ., interactions with devices, equipment, and technical systems in buildings) . Brick schema models were developed to represent sensor and room metadata information . The database is publicly available, and a website was created for the public to access, query, and download specifc datasets or the whole database interactively. The database can help to advance the knowledge and understanding of realistic occupancy patterns and human-building interactions with building systems (e .g ., light switching, set-point changes on thermostats, fans on/of, etc .) and envelopes (e .g ., window opening/closing) . With these more realistic inputs of occupants’ schedules and their interactions with buildings and systems, building designers, energy modelers, and consultants can improve the accuracy of building energy simulation and building load forecasting .
国家哲学社会科学文献中心版权所有