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基于简化物理模型的制冷机组换热器性能劣化诊断方法 被引量:1

Performance Deterioration Diagnosis Method of Heat Exchanger in Chillers Based on Simplified Physical Model
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摘要 提出了1种基于简化物理模型的制冷机组换热器(蒸发器和冷凝器)性能劣化的诊断方法。选取综合传热系数和水侧压降作为指示换热器性能的敏感特征参数;针对综合传热系数和水侧压降,构建了基于简化物理模型的基准值模型,用以确定运行的基准值;基于统计学分析综合传热系数和水侧压降的基准值和实测值之间的残差,获得换热器换热性能和流动性能是否劣化的诊断结果。将提出的换热器性能劣化诊断方法应用到1个实际的制冷机组上,实验结果显示:对蒸发器和冷凝器的换热性能和流动性能劣化的诊断正确率均在98%以上,这充分显示了所构建的换热器性能劣化诊断方法的有效性。 Based on a simplified physical model,a diagnostic method for the performance degradation of heat exchangers(evaporator and condenser)in chillers was proposed.The comprehensive heat transfer coefficient and water-side pressure drop were selected as the sensitive characteristic parameters indicating the performance of the heat exchanger.The reference value model of comprehensive heat transfer coefficient and water-side pressure drop was first built to determine the reference value at operation.Then,by comparing the reference value of the comprehensive heat transfer coefficient and water-side pressure drop with the measured value based on actual operation,the residuals of the two were obtained.Based on the statistical residual analysis,the diagnosis results of whether the heat transfer performance or flow performance of the heat exchangers has deteriorated were obtained.An experiment was further conducted by applying the proposed diagnostic method to a practical chiller,and the results show that the diagnostic accuracy for the heat transfer performance and flow performance degradation of the evaporator and condenser is above 98%,fully demonstrating the effectiveness of the proposed diagnostic method for heat exchanger performance degradation.
作者 安礼贝 段丽平 石靖峰 陈见兴 盛凯 王占伟 周西文 AN Libei;DUAN Liping;SHI Jingfeng;CHEN Jianxing;SHENG Kai;WANG Zhanwei;ZHOU Xiwen(Institute of Building Environment and Thermal Science,Henan University of Science and Technology,Luoyang 471023,Henan,China;Qingdao Hisense Hitachi Air-Conditioning Systems Co.,Ltd.,Qingdao 266510,Shandong,China)
出处 《建筑科学》 CSCD 北大核心 2022年第12期25-33,共9页 Building Science
基金 国家自然科学基金资助项目“数据驱动与解析模型融合的制冷系统故障诊断方法及鲁棒性研究”(51806060) 河南省高校科技创新人才支持计划(22HASTIT025)和创新团队支持计划(22IRTSTHN006)。
关键词 制冷机组 蒸发器 冷凝器 性能劣化 诊断 chiller evaporator condenser performance deterioration diagnosis
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