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An experimental and theoretical study on an injection-assisted air-conditioner using R32 in the refrigeration cycle

Author

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  • Qv, Dehu
  • Dong, Bingbing
  • Cao, Lin
  • Ni, Long
  • Wang, Jijin
  • Shang, Runxin
  • Yao, Yang

Abstract

An air-conditioner (AC) that uses refrigerant R32 assisted with one-phase vapor injection shows high energy efficiency and low discharge temperature in the heat-pump cycle, but the performance is not satisfactory in the refrigeration cycle. In this study, an improved injection cycle consisting of one-phase vapor injection mode and two-phase injection mode is proposed and integrated into an AC using R32, which is now referred to as an advanced injection-assisted air-conditioner (IAC). Through an experimental and theoretical study, an optimal injection duration of 8s is attained for maximizing the refrigeration potential of the IAC. Furthermore, in an entire day–night cycle, both the cooling capacity and energy efficiency ratio (EER) of the IAC within the two-phase injection cycle are enhanced by 25% and 32%, respectively, compared with those of a noninjection-assisted AC. Moreover, two-phase injection offers the highest exergetic efficiency, approximately 50% or more in the refrigeration cycle, exhibiting remarkable thermodynamic performance of the IAC. In addition, compared to the conventional AC using R410A, the IAC using R32 within a two-phase injection cycle demonstrates reasonable payback performance and substantial reduction in carbon dioxide and sulfur dioxide emissions in the refrigeration cycle.

Suggested Citation

  • Qv, Dehu & Dong, Bingbing & Cao, Lin & Ni, Long & Wang, Jijin & Shang, Runxin & Yao, Yang, 2017. "An experimental and theoretical study on an injection-assisted air-conditioner using R32 in the refrigeration cycle," Applied Energy, Elsevier, vol. 185(P1), pages 791-804.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p1:p:791-804
    DOI: 10.1016/j.apenergy.2016.10.100
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    References listed on IDEAS

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    1. Kim, Dongwoo & Myeong, Seongryeol & Cha, Dowon & Kim, Yongchan, 2019. "Novel optimized operating strategies of two-phase injection heat pumps for achieving best performance with safe compression," Energy, Elsevier, vol. 187(C).
    2. López-Belchí, Alejandro & Illán-Gómez, Fernando, 2017. "Evaluation of a condenser based on mini-channels technology working with R410A and R32. Experimental data and performance estimate," Applied Energy, Elsevier, vol. 202(C), pages 112-124.
    3. Kim, Dongwoo & Song, Kang Sub & Lim, Junyub & Kim, Yongchan, 2018. "Analysis of two-phase injection heat pump using artificial neural network considering APF and LCCP under various weather conditions," Energy, Elsevier, vol. 155(C), pages 117-127.
    4. Xie, Dunjian & Hui, Hongxun & Ding, Yi & Lin, Zhenzhi, 2018. "Operating reserve capacity evaluation of aggregated heterogeneous TCLs with price signals," Applied Energy, Elsevier, vol. 216(C), pages 338-347.
    5. Jeon, Yongseok & Kim, Sunjae & Lee, Sang Hun & Chung, Hyun Joon & Kim, Yongchan, 2020. "Seasonal energy performance characteristics of novel ejector-expansion air conditioners with low-GWP refrigerants," Applied Energy, Elsevier, vol. 278(C).
    6. Hui, Hongxun & Ding, Yi & Liu, Weidong & Lin, You & Song, Yonghua, 2017. "Operating reserve evaluation of aggregated air conditioners," Applied Energy, Elsevier, vol. 196(C), pages 218-228.
    7. Kim, Dongwoo & Lee, DongChan & Lee, Minwoo & Chung, Hyun Joon & Kim, Yongchan, 2021. "Energy performance evaluation of two-phase injection heat pump employing low-GWP refrigerant R32 under various outdoor conditions," Energy, Elsevier, vol. 214(C).
    8. Chugh, Devesh & Gluesenkamp, Kyle & Abdelaziz, Omar & Moghaddam, Saeed, 2017. "Ionic liquid-based hybrid absorption cycle for water heating, dehumidification, and cooling," Applied Energy, Elsevier, vol. 202(C), pages 746-754.
    9. Hwang, Jun Kwon & Yun, Geun Young & Lee, Sukho & Seo, Hyeongjoon & Santamouris, Mat, 2020. "Using deep learning approaches with variable selection process to predict the energy performance of a heating and cooling system," Renewable Energy, Elsevier, vol. 149(C), pages 1227-1245.

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