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“整数梯度下降”算法对热泵用翅片管蒸发器流路的优化
张浩,侯泽飞,李杏党,樊超超,晏刚,褚雯霄,王秋旺
0
(广东美的制冷设备有限公司;西安交通大学能源与动力工程学院)
摘要:
本文针对热泵用翅片管蒸发器,采用分布参数法构建仿真模型,研究蒸发器流路对其熵产的影响,并开发了基于“整数 梯度下降“算法的蒸发器流路优化模型。研究结果表明:当蒸发器换热量增大时,最小煽产点所对应的蒸发器分路数增加,且分 液器相对位置前移。通过对比实验与仿真结果,验证了蒸发器煽产(仿真值)与系统COP(实验值)之间的对应关系,即蒸发器嫡 产(仿真值)的变化可用于预测热泵系统COP的变化情况。在此基础上,以熵产作为“代价函数”,采用“梯度下降算法"构建了 蒸发器流路优化模型,获得了设计换热量为2000-6000W所对应的最佳蒸发器流路。
关键词:  蒸发器流路  梯度下降算法  煽产最小化原理  优化模型
DOI:
投稿时间:2020-09-18  修订日期:2020-11-23  
基金项目:
Refrigerant Circuitry Optimization for Heat Pump Finned-tube Evaporators with Integer Gradient Descent Algorithm
Zhang Hao,Hou Zefei,Li Xingdang,Fan Chaochao,Yan Gang,Chu Wenxiao,Wang Qiuwang
(Guangdong Midea Refrigeration Equipment Co.,Ltd.;School of Energy and Power Engineering,Xi'an Jiaotong University)
Abstract:
A refrigerant cireuitry qptimization method using an ineger gadient descent algorithm for hea pump finned-tube evaporators was devebped .A zone-based evaponlor simulation model was built, and the entopy genention variations with different evaporator refrigenant circuits were invetigated. It was concluded that when the designed heat transfer capacity increases. refrigerant passes should be increased, and the split point should be moved forward to minimize evaporator entropy generation. Subsequently, experiments were conducted to validate the relationship between the lower evaporator entropy generation (theoretical results) and the higher COP (experimental results) of a specific heat pump system. The evaporator entropy generation based on simulation results proved an effective parameter for predicting system COP variation trends. Subsequently, evaporator entropy generation was selected as the cost function, and an integer gradient descent algorithm was applied to minimize the evaporator entropy generation. With the proposed optimization method, the optimum evaporator refrigerant circuits corresponding to the heat transfer capacity in the range of 2000–6000 W were selected.
Key words:  evaporator refrigerant circuits  gradient descent algorithm  entropy generation minimization theory  optimization method

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