摘要
物料干燥、印刷、印染纺织、电镀等领域普遍需要65~100℃的热源供应,常规热泵技术难以实现。本文充分利用非共沸混合工质相变过程中的大温度滑移,实现与水侧更好的热当量匹配,提出一种混合工质回热式大温跨热泵循环,建立了热力学模型,分析了运行压力、混合工质组分、环境温度、出水温度等关键参数对系统性能的影响,基于遗传算法优化了系统吸排气压力和工质配比,结果表明:混合工质回热式热泵可在常规空调压缩机的正常工况内运行,在环境温度为25℃、入水温度为15℃、出水温度为90℃时,系统理论COP最高可达5. 5,与同工况下CO2跨临界热泵性能相当。
It is difficult for a conventional heat pump to achieve a 65-100 ℃ heat supply in fields of material drying,printing,textile dyeing,electroplating,etc. In this study,a novel high-temperature heat pump based on a subcritical zeotropic mixture recuperative cycle was proposed for a hot water supply with a large temperature span. The zeotropic mixture feature of a large temperature glide at the isobaric process in the subcritical region and the recuperative concept were utilized to achieve a good thermal match between the working fluid and water sides with a large water temperature span. The influences of the key parameters such as the operating pressures,mixture composition,ambient temperature,and water temperature on system performance were analyzed. Based on a genetic algorithm,the discharge and suction pressures and mixture compositions of the system were optimized. The results indicated that the mixture recuperative heat pump exhibited an excellent performance under conventional operation conditions in traditional refrigeration and heat pump fields. When the ambient temperature was 25 ℃,the inlet water temperature was 15 ℃ and the outlet water temperature is 90 ℃ . The coefficient of performance(COP) of the system reached 5. 5,which is comparable to the performance of a CO2 transcritical heat pump under the same working conditions.
作者
秦晓宇
郭浩
公茂琼
孙守军
Qin Xiaoyu;Guo Hao;Gong Maoqiong;Sun Shoujun(CAS Key Laboratory of Cryogenics,Technical Institute of Physics and Chemistry,Chinese Academy of Sciences,Beijing,100190,China;University of Chinese Academy of Sciences,Beijing,100039,China)
出处
《制冷学报》
CAS
CSCD
北大核心
2020年第1期32-39,共8页
Journal of Refrigeration
基金
北京市自然科学基金(3171002)项目资助~~
关键词
热泵
混合工质
回热循环
大温跨
遗传算法
heat pump
mixture
recuperative cycle
high temperature span
genetic algorithm
