摘要
提出了基于能耗目标函数的空调新风量寻优控制方法,建立寻优控制的仿真模块,在TRNSYS仿真平台上对香港某办公楼进行模拟分析.模拟结果表明,与最小新风量控制相比,寻优控制不仅节省了新风机的能耗,而且制冷机、冷冻水泵、冷却水泵的能耗也都有所降低,系统全年可节能2.73×105 kWh,节能率17.1%,节能效果显著.尤其在香港过渡季的11月~3月的大部分时间,寻优控制不仅降低了空调系统能耗,而且能很好地改善室内空气品质.
This paper proposed an optimization control method for fresh air rate based on the objective function of energy consumption. By establishing the module of optimization control, a simulation analysis was carried out for an office building of Hong Kong on TRNSYS platform. The simulation result has indicated that, compared with minimum fresh air requirement control, the optimization control has not only saved the energy consumption of fresh air fan, but also reduced the energy consumption of refrigerators, chilled water pumps and cooling water pumps. The air-conditioning system with the optimization control can save 2.73 × 10^5 kWh in a year and the energy-saving rate reaches 17.1%. Its energy-saving effectiveness is remarkable. Especially in most time from November to March, the optimization control not only reduces the energy consumption of air-conditioning system, but also greatly improves indoor air quality.
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2012年第2期25-29,共5页
Journal of Hunan University:Natural Sciences
基金
太古地产建筑智能控制研究基金项目(JRP0901)
关键词
新风量
能耗
目标函数
寻优控制
模拟分析
fresh air rate
energy consumption
objective function
optimizing control
simulation analysis