摘要
以内蒙古某一办公楼的空调水系统为研究对象。利用DesignBuilder模拟建筑负荷。基于实测运行数据建立主要耗能设备运行能耗数学模型并基于TRNSYS软件搭建空调水系统仿真平台。利用遗传算法确定空调水系统在不同负荷下,最佳的冷冻水供水温度,冷却水回水温度,冷冻水流量和冷却水流量。通过模型预测控制算法实现对优化参数的逐时控制。研究结果表明,经过优化后,该办公楼在主要制冷月份(七月和八月)冷水机组节能6.64%,冷冻水泵节能3.01%,冷却水泵15.14%,整个空调水系统节能7.30%。
The air-conditioned water system of an office building in Inner Mongolia is taken as the research object.DesignBuilder is used to simulate building load.The mathematical model of operating energy consumption of major energy-consuming equipment was established based on the actual operation data and the simulation platform of air conditioning water system was built based on TRNSYS software.Genetic algorithm is used to determine the optimal chilled water supply temperature,cooling water return temperature,chilled water flow rate and cooling water flow rate of air-conditioning water system under different loads.The model predictive control algorithm is used to realize the hour-by-hour control of the optimized parameters.The research results show that after the optimization,the water chiller saves 6.64%,the chilled water pump 3.01%,the cooling water pump 15.14%,and the whole air-conditioning water system saves 7.30%in the main refrigeration months(July and August).
作者
赵靖
杜亚慧
ZHAO Jing;DU Ya-hui(Tianjin Key Laboratory of Built Environment and Energy Application;School of Environmental Science and Engineering,Tianjin University)
出处
《建筑热能通风空调》
2021年第10期1-6,49,共7页
Building Energy & Environment
基金
天津市自然科学基金(18JCQNJC08400)
国家自然科学基金项目(No.51678398)。
关键词
空调水系统
遗传算法
模型预测控制
优化调控
节能
air-conditioning water system
genetic algorithm
model predictive control
optimizing control
energy-saving
