Indoor climate and lighting in office buildings are operated using static and conservative setpoints and schedules that are sub-optimal for real occupancy/occupants’ diverse preferences. In contrast, occupant-centric control (OCC) is an operational strategy whereby occupancy/occupants’ preferences are estimated to improve energy efficiency and comfort. This paper develops a practical workflow for implementing and evaluating OCCs via building simulation. A library of five OCC functions is introduced for use with building sensor data. EnergyPlus simulations of a generic nine-office testbed are performed with combinations of OCCs, climates, and envelope assemblies to demonstrate the workflow; the results showed that the energy use and thermal discomfort (the number of hours spent outside a selected thermal comfort zone) could be reduced by up to 37% and 65%, respectively, when OCCs were implemented in the testbed. This workflow allows for a diverse combination of OCCs, climates, and envelopes that can be expanded upon practically and incrementally.

办公楼的室内气候和照明使用静态和保守的设定点和时间表进行操作，这些设定点和时间表对于实际占用/占用者的不同偏好是次优的。相比之下，以乘员为中心的控制 (OCC) 是一种操作策略，通过它估计乘员/乘员的偏好以提高能源效率和舒适度。本文开发了一个实用的工作流程，用于通过建筑模拟实施和评估 OCC。引入了五个 OCC 函数库，用于构建传感器数据。使用 OCC、气候和外壳组件的组合执行通用九办公室测试台的 EnergyPlus 模拟，以演示工作流程；结果表明，当在测试台中实施 OCC 时，能源使用和热不适（在选定的热舒适区外花费的小时数）可分别减少多达 37% 和 65%。此工作流程允许 OCC、气候和包络的多样化组合，这些组合可以实际和增量地扩展。