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Critical review and research roadmap of office building energy management based on occupancy monitoring

机译:基于占用率监控的办公楼能源管理关键性审查研究路线图

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摘要

Buildings are responsible for a large portion of global energy consumption. Therefore, a detailed investigation towards a more effective energy performance of buildings is needed. Building energy performance is mature in terms of parameters related to the buildings’ physical characteristics, and their attributes are easily collectable. However, the poor ability of emulating reality pertinent to time-dependent parameters, such as occupancy parameters, may result in large discrepancies between estimated and actual energy consumption. Although efforts are being made to minimize energy waste in buildings by applying different control strategies based on occupancy information, new practices should be examined to achieve fully smart buildings by providing more realistic occupancy models to reflect their energy usage. This paper provides a comprehensive review of the methods for collection and application of occupancy-related parameters affecting total building energy consumption. Different occupancy-based control strategies are investigated with emphasis on heating, ventilation, and air conditioning (HVAC) and lighting systems. The advantages and limitations of existing methods are outlined to identify the gaps for future research.
机译:建筑物占全球能源消耗的很大一部分。因此,需要对建筑物的更有效的能源性能进行详细研究。就与建筑物的物理特性相关的参数而言,建筑物的能源性能已经成熟,并且它们的属性很容易收集。但是,模拟与时间相关的参数(例如占用率参数)相关的现实的能力较弱,可能会导致估计能耗与实际能耗之间存在巨大差异。尽管通过基于占用率信息的不同控制策略,正在努力使建筑物的能源浪费最小化,但应研究新做法,通过提供更实际的占用率模型来反映建筑物的能源使用情况,以实现完全智能的建筑物。本文对影响建筑物总能耗的占用相关参数的收集和应用方法进行了全面回顾。研究了不同的基于占用率的控制策略,重点是供暖,通风和空调(HVAC)和照明系统。概述了现有方法的优点和局限性,以找出未来研究的空白。

著录项

  • 来源
    《Energy and Buildings》 |2019年第1期|214-241|共28页
  • 作者

    Shide Salimi; Amin Hammad;

  • 作者单位

    Concordia Institute for Information Systems Engineering;

    Department of Building, Civil, and Environmental Engineering,, Concordia University;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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