暖通空调>期刊目次>2024年>第3期

核岛冷链通风空调系统性能优化研究

Research on performance optimization of cold chain ventilation and air conditioning system in nuclear islands

伍经纬[1][2] 郑文科[1][2] 王玉[1][3] 姜益强[1][2]
[1]哈尔滨工业大学,哈尔滨;[2]寒地城乡人居环境科学与技术工业和信息化部重点实验室,哈尔滨;[3]淄博市公用事业服务中心,淄博

摘要:

核岛冷链通风空调系统的设计存在余量值过大、运行能耗高、调节控制笨重等问题。为了降低核电的成本,本文基于“华龙一号”某厂房实际通风空调系统,建立了主要能耗设备的数学模型,确定了系统节能优化目标函数和约束条件,使用遗传算法研究了通风空调系统节能运行的优化效果。分别计算了2种优化方案在负荷率变化和高温与常温末端负荷比不同时,系统整体及各设备能耗情况。结果表明:单台冷水机组运行,高温与常温末端串联的系统形式节能率为14.1%,但随着末端负荷比的增大,节能率降低;单台冷水机组运行,高温与常温末端串联、高温末端额外增加高温冷水机组的系统形式在负荷比为2时节能率为17.2%,节能效果优于方案1的12.2%。

关键词:核岛;冷链;冷水系统;遗传算法;节能;性能优化

Abstract:

The design of the cold chain ventilation and air conditioning system in the nuclear island has some problems, such as excessive margin, high operating energy consumption, and cumbersome regulation and control. To reduce the cost of nuclear power, this paper establishes a mathematical model of the main energy consuming equipment based on the actual ventilation and air conditioning system of a plant in “Hualong No.1”, determines the objective function and constraints of the system energy saving optimization, and uses the genetic algorithm to study the optimization effect of the energy saving operation of the ventilation and air conditioning system. The energy consumption of the whole system and each equipment of the two optimization schemes is calculated when the load rate changes and the load ratio of high temperature terminal and normal temperature terminal is different. The results show that when a single chiller operates, the energy saving rate of the system with the high temperature and normal temperature terminals in series is 14.1%, but the energy saving rate decreases with the increase of the terminal load ratio. When a single chiller operates, the system with the high temperature and normal temperature terminals in series and adding a high temperature chiller at the high temperature terminal has an energy saving rate of 17.2% when the load ratio is 2, and the energy saving effect is better than that of scheme 1 (12.2%).

Keywords:nuclear island; cold chain; chilled water system; genetic algorithm; energy saving; performance optimization

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