Previous studies show that the indoor environment quality (IEQ) of buildings directly affects human health and comfort. This study aims to predict the change of indoor parameters at the next moment under the influences of the current indoor climate and outdoor climate and control the IEQ parameters based on the human thermal adaption in advance. We combine the simulation and the mathematical method to establish the office building model with air-conditioning and lighting systems and construct the bilinear model of the IEQ parameters and control variables. Unknown parameters are identified using the experimental method. Model predictive control (MPC) based on human thermal comfort is discussed by considering human thermal adaptation, and the neutral temperature is calculated through the dynamic relationship between outdoor and indoor temperatures. Results show that the temperature setpoint is adjusted in accordance with human adaptability, and the air-conditioning, fan, and lighting systems are controlled via MPC. The usage time of air-conditioning and light is reduced, and thus, energy is saved.

以往的研究表明，建筑物的室内环境质量（IEQ）直接影响人体的健康和舒适度。本研究旨在预测当前室内气候和室外气候影响下下一时刻室内参数的变化，并基于人体热适应提前控制IEQ参数。我们将仿真与数学方法相结合，建立了带有空调和照明系统的办公楼模型，并构建了IEQ参数和控制变量的双线性模型。使用实验方法识别未知参数。考虑人体热适应，讨论基于人体热舒适度的模型预测控制（MPC），并通过室外和室内温度的动态关系计算中性温度。结果表明，温度设定点根据人体适应性进行调整，空调、风扇和照明系统通过 MPC 进行控制。减少空调和灯光的使用时间，从而节省能源。