Occupant-oriented mixed-mode EnergyPlus predictive control simulation
Occupant-oriented mixed-mode EnergyPlus predictive control simulation
复制标题
以乘员为导向的混合模式 EnergyPlus 预测控制仿真
DOI：
10.1016/j.enbuild.2015.09.027
复制
发表时间：
2016
影响因子：
6.7
通讯作者：
V. Loftness
中科院分区：
文献类型：
--
作者：
Jie Zhao;Khee Poh Lam;B. Ydstie;V. Loftness
模型预测控制（MPC）在建筑科学领域已经研究了近三十年。然而，在MPC的研究中，对建筑控制的以下两个方面的研究还不够深入。一是混合模式制冷系统对主动式采暖通风空调（HVAC）能耗的影响，二是个体热舒适偏好的差异及其对能耗的影响。本文提出了一种以乘员为导向的混合模式EnergyPlus预测控制系统，以优化暖通空调能耗，同时满足个体热舒适偏好。基于网络的仪表板在试验台建筑中实施了三个月，以收集个人热舒适偏好数据。数据分析结果表明，居住者对热舒适有不同的容忍度和偏好。仿真结果表明，在典型的振荡季节的1周内，混合模式系统进一步降低了主动式暖通空调能耗，并且乘员热舒适偏好的多样化对暖通空调能耗有显著影响。
Model predictive control (MPC) has been studied in the building science realm for about three decades. However, the following two aspects of the building control have not been studied thoroughly in MPC research. One is the impact of the mixed-mode cooling system on the active heating ventilation and air conditioning (HVAC) energy consumption, and the other is the differences of individual thermal comfort preference and its impact on energy. This paper proposes an occupant-oriented mixed-mode EnergyPlus predictive control system to optimize HVAC energy consumption while meeting the individual thermal comfort preference. A web-based dashboard is implemented in the test-bed building for three months to collect individual thermal comfort preference data. The data analysis results suggest that occupants have various tolerances and preferences about thermal comfort. The simulation results show that, during one week of a typical swing season, the mixed-mode system further reduces the active HVAC energy consumption, and the diversified occupant thermal comfort preference has significant impact on HVAC energy consumption.