封装板式冰蓄冷系统蓄能模糊建模与分析  

Fuzzy modeling and analysis for cold storage capacity of capsulated plate ice storage system

作　　者：刘鸣[1] 张宝刚[2,3] 赵宏[3] 

机构地区：[1]大连理工大学建筑技术及其产业化研究所,辽宁大连116024 [2]大连理工大学建筑环境与新能源研究所,辽宁大连116024 [3]沈阳建筑大学市政与环境工程学院,沈阳110168

出　　处：《沈阳工业大学学报》2010年第4期459-463,469,共6页Journal of Shenyang University of Technology

基　　金：辽宁省教育厅基金资助项目(2008Z176);建设部基金资助项目(2008-k4-1);辽宁省重点实验室开放基金资助项目(JN-200912;JN-200911)

摘　　要：针对冰蓄冷系统蓄能的非线性特性,将自适应神经网络应用于封装板式圆罐型蓄冰装置的蓄能初始化和释冷出口温度实时运行的模糊建模,进行了冰蓄冷系统蓄冷量的模糊建模,确定了实验影响因素载冷剂进口温度、载冷剂流速、蓄冷时间的隶属度函数和模糊推理规则.运用减法聚类法和网格法对模型进行初始化训练与运行对比,使蓄冷系统能够跟踪负荷情况.通过调控影响因素的参数,可以更合理地初始化设定蓄冷阶段的蓄冷量.利用该建模程序进行实时释冷出口温度模糊建模策略验证,模型运行平稳.冰蓄冷装置蓄能模糊控制性能的优化保证了蓄冷量与负荷相匹配,实时输出释冷出口温度,进而达到冰蓄冷空调系统优化及经济运行的目标.Based on the non-linear characteristics in the cold storage capacity of ice storage system,the adaptive neural network was applied to the fuzzy modeling for the initialization and real-time operation of capsulated plate ice storage device. The membership function of such influencing factors as coolant inlet temperature,refrigerant flow and ice storage time as well as the fuzzy inference rule were determined. For the ice-storage system to track the load condition,the initialization training and operation comparison for the model were conducted with subtractive clustering and gridding methods. The ice storage quantity may be more reasonably initialized through adjusting and controlling the parameters of influencing factors. Further,the modeling programme was used to validate the fuzzy modelling strategy of the ice thaw outlet temperature. The operation of the model is relatively stable. The fuzzy control performance optimization for the cold storage capacity of the ice storage device ensures the matching of the cold storage capacity with load and the real-time control of the output ice thaw outlet temperature. Thus,the optimization and economical operation of ice-storage air-conditioning system can be achieved.

关 键 词：蓄冷量 释冷温度 初始化控制 实时策略 经济运行 建模 隶属度函数 匹配 

分 类 号：TB65[一般工业技术—制冷工程]