基于变频空调器的舒适性指标与室内空气质量智能控制研究
Intelligent control for comfort indexes and indoor air quality based on variable-frequency air conditioners
摘要：
以衡量热舒适性的PMV和反映室内空气质量的CO2浓度为控制输入参数，建立了相应的控制策略，分别对变频空调器压缩机、蒸发器风机、新风阀（机）和台式小风扇进行控制以同时满足0＜PMV＜0.5和CO2体积分数小于1 000×10-6。建立空调器系统模型对一典型办公室进行了计算机仿真，结果表明，热舒适指标（CI）控制与传统温（湿）度控制相比，不仅更能满足舒适性，而且节能；需求控制通风与人均新风量标准通风相比，节能效果明显。
Abstract：
Taking the predicted mean vote(PMV) indicating human thermal comfort and the CO2 concentration indicating indoor air quality(IAQ) as control input parameters, develops corresponding control strategies, and it can be simultaneously achieved that PMV is within the range from 0 to 0.5 and volume fraction of CO2 is less than 1 000×10-6 by controlling variable-frequency air conditioner compressor, evaporator fan, fresh air damper(or fan) and desk fan respectively. Develops a system model of air conditioners and simulates the thermal comfort and IAQ in a typical air conditioned office room. The results show that thermal comfort index(CI) control can provide superior performance over conventional set-point control in terms of human comfort and energy consumption, and demand-controlled ventilation systems are energy saving compared with average fresh air per person-based ventilation systems.
Keywords:thermal comfort index, indoor air quality, demand-controlled ventilation, fuzzy control, variable-frequency air conditioner, computer simulation