冷水机组运行特性建模与优化控制研究
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摘要
为实现中央空调冷水机组运行优化,提出了基于支持向量回归机(SVR)建模的冷水机组优化控制方案。利用SVR建模思想,在冷水机组运行特性分析基础上,采用基于遗传算法的SVR参数优化算法,对冷水机组运行特性进行建模,并以此模型为基础提出了冷水机组运行参数寻优算法,通过动态调整机组运行参数实现节能。利用Matlab的Libsvm软件包对某螺杆式冷水机组运行特性进行建模,并在典型工况下,对优化控制方法和常规运行方法的能耗做了仿真对比。结果表明,采用基于SVR建模的冷水机组优化控制方法能显著提高冷水机组运行效率,具有很好的工程适应性和应用前景。
A method of optimization control of central air-conditioning chillers based on support vector regression machine(SVR) modeling is proposed to achieve chillers operation optimization. Based on the analysis of chiller operating characteristics, the SVR modeling method, and the optimization algorithm of SVR parameters based on genetic algorithm,chiller operating characteristics are modeled. Based on this model, the optimization algorithm of chiller operating parameters is proposed, and the energy saving can be achieved by dynamically adjusting the operating parameters of chillers. The operating characteristics of a screw chiller are modeled using Matlab's Libsvm package, the energy consumption of the optimized control method and the routine operation method are simulated and compared in the typical condition. The results show that the chiller optimization control method based on SVR can significantly improve the operating efficiency of chillers, with good engineering adaptability and application prospects.
A method of optimization control of central air-conditioning chillers based on support vector regression machine(SVR) modeling is proposed to achieve chillers operation optimization. Based on the analysis of chiller operating characteristics, the SVR modeling method, and the optimization algorithm of SVR parameters based on genetic algorithm,chiller operating characteristics are modeled. Based on this model, the optimization algorithm of chiller operating parameters is proposed, and the energy saving can be achieved by dynamically adjusting the operating parameters of chillers. The operating characteristics of a screw chiller are modeled using Matlab's Libsvm package, the energy consumption of the optimized control method and the routine operation method are simulated and compared in the typical condition. The results show that the chiller optimization control method based on SVR can significantly improve the operating efficiency of chillers, with good engineering adaptability and application prospects.
引文
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[2]江亿.我国建筑能耗趋势与节能重点[J].建设科技,2007(5):26-29.
[3]江训昌.空调冷水系统的沿革与变流量一次泵水系统的时间[J].暖通空调,2006,36(7):32-40.
[4]马素贞.多台冷水机组的优化配置与节能运行研究[J].建筑科学,2012,28(2):75-79.
[5]陈丹丹,晋欣桥,杜志敏,等.多台冷水机组联合运行空调系统的负荷优化分配[J].上海交通大学学报,2007,41(6):974-977.
[6]闫军威,陈城,周璇,等.多台冷水机组负荷分配优化策略仿真研究[J].暖通空调,2016,46(4):98-104.
[7]陈文凭,杨昌智,余院生.基于冷水机组性能曲线的中央空调水系统优化控制[J].流体机械,2008,36(8):73-78.
[8]李觐.基于性能曲线的冷水机组配置和运行优化[J].制冷,2012,31(2):10-16.
[9]王蕊.冷水机组建模及其在空调系统优化控制中的应用研究[D].西安:西安建筑科技大学,2016:13-28.
[10]王东.基于支持向量机空调负荷预测[D].北京:北京建筑大学,2016:3-14.
[11]江文豪,韦红旗,屈天章,等.基于遗传算法优化参数的支持向量机燃煤发热量预测[J].热力发电,2011,40(3):14-19.
[12]王剑壁.合理提高冷冻水出水温度可以节能降耗[J].江苏电机工程,2015,34(4):72-73.