摘要
换热器作为空气源热泵的关键部件,其性能表现直接影响热泵系统的性能。气体旁通技术作为一种新型强化传热技术,可有效提升换热器综合性能,进而改善热泵系统的性能。基于此,本文利用分布参数法构建了气体旁通式翅片管蒸发器的仿真模型。仿真研究了气液分离器相对位置、分离器前分路数和分离器后分路数对蒸发器熵产的影响,结果表明蒸发器熵产随气液分离器位置以及分离器后分路数的增大呈现先增大后减小的趋势。针对设计工况,在最优的气液分离器位置与分离器后分路数条件下,气体旁通式蒸发器的熵产较传统蒸发器分别降低了37.46%和17.89%。此外,本文采用遗传算法构建了蒸发器流路的全局优化模型,以熵产最小化作为优化目标,得到了蒸发器换热量为3 500~13 500 W所对应的最佳气体旁通蒸发器流路。本文研究结论可为气体旁通式空调系统的优化设计及推广应用提供理论支撑及指导意义。
As a key component of air source heat pumps,the heat exchanger directly affects the performance of the heat pump system.Vapor bypass technique,as a new type of enhanced heat transfer technology,can effectively improve the overall performance of the heat exchanger,thereby enhancing the performance of the heat pump system.Focus on this aspect,the distributed parameter method was used to construct a simulation model for a vapor bypass evaporator.The effects of the relative position of the gas-liquid separator,the number of branches in front of the separator,and the number of branches in back of the separator on the entropy production of the evaporator were studied by simulation.The simulation results show that the entropy generation of the evaporator shows a trend of first increasing and then decreasing with the increase in the position of the gas-liquid separator and the number of branches after the separator.According to the design conditions,the entropy production of the vapor bypass evaporator is reduced by 37.46%and 17.89%respectively compared with the conventional evaporator under the optimal position of the gas-liquid separator and the number of shunt after the separator.Additionally,a genetic algorithm was used to construct a global optimization model for the evaporator flow path,using entropy production minimization as the optimization objective.The optimal vapor bypass evaporator flow path coresponding to 3500~13500 W has been obtained.The conclusions of this study can provide theoretical support and guidance for the optimization design and promotion of vapor-bypassed air conditioning systems.
作者
黎顺全
吴恒
陶骙
李健锋
熊通
刘国强
晏刚
Li Shunquan;Wu Heng;Tao Kui;Li Jianfeng;Xiong Tong;Liu Guoqiang;Yan Gang(School of Energy and Power Engineering,Xian Jiaotong University,Xian 710049,China;Guangdong Midea Refrigeration Equipment Co.,Ltd.,Foshan 528311,China)
出处
《低温与超导》
CAS
北大核心
2024年第10期1-8,48,共9页
Cryogenics and Superconductivity
基金
国家自然科学基金(52076160)资助。
关键词
热泵系统
流路优化
气体旁通
遗传算法
性能提升
Heat pump system
Circuit optimization
Vapor bypass
Genetic algorith
Performance improvement
作者简介
黎顺全(1982-),男,硕士,研究方向为换热器设计优化;通信作者:晏刚(1971-),男,教授,研究方向为制冷与热泵系统新型循环及热物理过程(gyan@mail.xjtu.edu.cn)。
