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影响多联机APF的关键要素研究
张恒, 高永坤, 孟建军, 董辰
0
(青岛海信日立空调系统有限公司)
摘要:
本文采用某28 kW多联机,对APF各工况进行仿真和实验测试,并对包括室内机和室外机风系统、换热器KA值、压缩机效率、制冷剂充注量、系统压力损失和回油系统等影响APF的关键因素进行研究。实验与仿真的APF值分别为4.59和4.61,单一工况的仿真与实验值最大误差为5.1%,各工况误差综合作用后APF误差为0.5%。研究结果表明:对于实验机,改善单一要素对APF提升有限,如压缩机效率提升3%,APF增幅2.8%;回油系统精细化,APF增幅约5%;换热器KA值提升10%,APF增幅在1%以内;所以需要考虑多因素同时改善来提升APF。
关键词:  多联机  APF  压缩机效率  系统压力损失  系统仿真
DOI:
投稿时间:2021-09-10  修订日期:2021-12-24  
基金项目:青岛西海岸新区自主创新重大专项项目(2020-11)
Key Factors for APF in VRF Systems
Zhang Heng, Gao Yongkun, Meng Jianjun, Dong Chen
(Qingdao Hisense Hitachi Air-conditioning Systems Co., Ltd.)
Abstract:
In this study, simulation and experimental testing were carried out in a 28 kW variable refrigerant flow system to evaluate the contributions to annual performance factor (APF) from key factors, including heat exchanger area, compressor efficiency, refrigerant charge, system pressure loss, and oil return system. The APF values obtained experimentally and numerically are 4.59 and 4.61, respectively. Meanwhile, the maximum deviation between simulation and experiment is 5.1% at a single test condition, and the deviation of the APF is 0.5%. The results show that for the experimental system, the improvement in a single factor has a limited effect on the APF. For example, if the compressor efficiency increases by 3%, the APF increases by 2.8%. The optimization of the oil return system leads to an approximately 5% increase in the APF. A 10% increase in KA of the heat exchanger results in a 1% improvement of the APF. Therefore, many factors must be considered simultaneously to improve the APF.
Key words:  VRF  APF  compressor efficiency  system pressure loss  system simulation

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