太阳能变效吸收式制冷系统动态运行特性研究OA
Study on Dynamic Operating Characteristics of Solar Variable-Effect Absorption Refrigeration System
本文建立了溴化锂/水变效吸收式制冷系统(VARS)动态模型,并引入 XGBoost 算法构建数据驱动的预测模型,实现了双自由参数的高效优化与预测,其决定系数分别可达 0.92 和0.99.通过稳态与动态实验数据对比验证了模型的有效性,平均误差小于 5%.基于该模型,分析了 VARS 在热源阶跃扰动下的动态响应特征,并实现与线性菲涅尔集热器耦合的全天候太阳能驱动仿真.结果表明:所建模型能有效刻画 VARS 的瞬态行为,在上海典型夏季晴天 VARS 制冷高峰阶段平均性能系数(COP)为 0.96,太阳能制冷系统平均 COP达到 0.47.
A dynamic model is developed for LiBr/H₂O variable-effect absorption refrigeration systems(VARS)and constructs an XGBoost model for efficient optimization of dual free parameters,with coefficients of determination reaching 0.92 and 0.99,respectively.Model validation against steady-state and dynamic experimental data confirmed average errors below 5%.The model successfully characterizes VARS transient responses to heat source step disturbances and enables full-time solar operation simulations with linear Fresnel collectors.The results demonstrate an average coefficient of performance of 0.96 for VARS during peak cooling under typical Shanghai summer weather conditions,with the solar cooling system reaching 0.47.
陈卉妮;代彦军
上海交通大学中英国际低碳学院,上海 200240上海交通大学制冷与低温工程研究所,上海 200240
通用工业技术
变效吸收式制冷溴化锂动态建模太阳能性能系数
Variable-effect absorption refrigeration systemLiBr/H₂ODynamic modelingSolar energyCoefficient of performance
《制冷技术》 2026 (1)
11-17,7
上海市2023年度"科技创新行动计划"科技支撑碳达峰碳中和项目(No.23DZ1201000).
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