Occupancy information is critical for buildings, as it can substantially impact energy consumption. However, occupancy is highly unpredictable, and depends on occupants’ schedules and their interactions with building systems. Occupancy sensor systems have been deployed in buildings for many years, using a broad range of sensor types, most typically for lighting control. Similarly, many research studies have been conducted that use a range of sensor modalities for occupancy sensing. These studies have assessed reliability considering diverse variables, testing methods, and evaluation metrics. However, no comprehensive review of occupancy sensor system reliability has been compiled. In this research, a review of the literature on occupancy sensor systems is presented, focusing on influential variables that may cause systems to incorrectly represent occupancy. Next, a survey was developed and completed by researchers, practitioners, and other stakeholders, ranking the most influential variables. The results of this effort provide a tiered list of what both literature and experts suggest are the most influential factors on occupancy sensor system performance. Future work includes the development of a standard methodology to evaluate the reliability of different occupancy sensor systems based on these efforts.

占用信息对建筑物至关重要，因为它会极大地影响能源消耗。然而，入住率是高度不可预测的，并且取决于居住者的日程安排以及他们与建筑系统的交互。占用传感器系统已在建筑物中部署多年，使用范围广泛的传感器类型，最常见的是用于照明控制。同样，已经进行了许多使用一系列传感器模式进行占用感应的研究。这些研究评估了考虑各种变量、测试方法和评估指标的可靠性。然而，尚未对占用传感器系统的可靠性进行全面审查。在这项研究中，对占用传感器系统的文献进行了回顾，关注可能导致系统错误地表示入住率的有影响的变量。接下来，研究人员、从业人员和其他利益相关者制定并完成了一项调查，对最具影响力的变量进行排名。这项工作的结果提供了一份分层列表，列出了文献和专家认为对占用传感器系统性能最有影响的因素。未来的工作包括开发一种标准方法来评估基于这些努力的不同占用传感器系统的可靠性。这项工作的结果提供了一份分层列表，列出了文献和专家认为对占用传感器系统性能最有影响的因素。未来的工作包括开发一种标准方法来评估基于这些努力的不同占用传感器系统的可靠性。这项工作的结果提供了一份分层列表，列出了文献和专家认为对占用传感器系统性能最有影响的因素。未来的工作包括开发一种标准方法来评估基于这些努力的不同占用传感器系统的可靠性。