商业建筑占美国全国能源消耗的近18%，每年全球温室气体排放量的约12%。为了减少建筑的温室气体排放和能源消耗，设计和运营节能建筑非常重要。然而，一些建筑未能按照设计师的预期运行，部分原因是用户没有或无法正确操作建筑，一些居住者的行为与设计师预期的不同。因此，居住模式与建筑能耗之间的关系非常重要。这项研究分析了商业建筑的入住率和用电量。入住率由人员计数器测量，用电量由大楼的计量和子计量系统确定。 该分析使用了费城一栋办公楼的数据。这项研究发现，入住率与插电负荷消耗（87%）的相关性高于总用电量（56%）。这一结果表明，插头负载消耗可以作为建筑入住率的指标。本研究提出了一种简化的方法来推导用于建筑能耗模拟的占用计划和插头负载消耗方程。通过计算入住率和插头负载消耗方程，建筑模拟结果的均方根误差（CVRMSE）的变异系数降低（CVRMSE=48%至4%）。引文:伊利诺伊州芝加哥ASHRAE交易——第121卷第1部分

Commercial buildings account for nearly 18% of the national energy consumption in the United States, which produces approximately 12% of the annual global greenhouse gas emissions.To reduce greenhouse gas emissions and energy consumption frombuildings, it is important to design and operate energy-efficient buildings. However, some buildings fail to perform as their designers intended, in part because users do not or cannot properly operate the buildings, and some occupants behave differently than designers expect. Therefore, the relationship between occupancy patterns and buildings’ energy consumption is important. This study analyzes building occupancy rates and electricity consumption in a commercial building. The occupancy rates were measured by people counters, and electrical consumption was determined from the building’s metering and submetering systems. The analysis used data from an office building in Philadelphia. This study found that occupancy rates have a higher correlation with plug-load consumption (87%) than with total electricity consumption (56%). This result indicates that the plug-load consumption can be the indicator of the occupancy rates in the building. This study presents a simplified method to derive the occupancy schedules and the plug-load consumption equation for building energy simulation. With a calculated occupancy rate and plug-load consumption equation, the coefficient of variation of the root mean squared error (CVRMSE) of building simulation results is reduced (CVRMSE = 48% to 4%).