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Impedance matching control strategy for a solar cooling system directly driven by distributed photovoltaics

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  • Han, Youhua
  • Li, Ming
  • Wang, Yunfeng
  • Li, Guoliang
  • Ma, Xun
  • Wang, Rui
  • Wang, Liang

Abstract

In this paper, an integrated control strategy for a solar cooling system directly driven by distributed photovoltaics (PVs) without a battery is proposed; this strategy matches the optimal operating impedance of the PV array by periodically perturbing the running frequency of the compressor. The theoretical working principle of the control strategy is explained, and two experimental processes are analysed under different solar irradiance levels. Furthermore, comparative tests of the control system with and without a controller were conducted to evaluate the performance of the solar cooling system. The results of the experiment under the impedance matching control strategy reveal that the average photoelectric conversion efficiency reached approximately 0.129 and improved by 83.7% relative to the control system without a controller. The coefficient of performance (COPsolar) reached 0.263 using an ice thermal storage model, which was an improvement of 60.4%. The compressor ran continually when the instantaneous irradiance exceeded 143 W/m2. The average efficiency of the control system reached 0.96, and the average three-phase power factor was approximately 0.71. The COP of the refrigeration unit was 2.10, and the total cooling capacity was 103.5 MJ, which was sufficient for cooling a 25.5-m2 air-conditioned room for 8.5 h.

Suggested Citation

  • Han, Youhua & Li, Ming & Wang, Yunfeng & Li, Guoliang & Ma, Xun & Wang, Rui & Wang, Liang, 2019. "Impedance matching control strategy for a solar cooling system directly driven by distributed photovoltaics," Energy, Elsevier, vol. 168(C), pages 953-965.
    • Handle: RePEc:eee:energy:v:168:y:2019:i:c:p:953-965
    DOI: 10.1016/j.energy.2018.11.148
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    References listed on IDEAS

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    Cited by:

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    2. Chauhan, Amisha & Trembley, Jon & Wrobel, Luiz C. & Jouhara, Hussam, 2019. "Experimental and CFD validation of the thermal performance of a cryogenic batch freezer with the effect of loading," Energy, Elsevier, vol. 171(C), pages 77-94.
    3. Li, Guoliang & Han, Youhua & Li, Ming & Luo, Xi & Xu, Yongfeng & Wang, Yunfeng & Zhang, Ying, 2021. "Study on matching characteristics of photovoltaic disturbance and refrigeration compressor in solar photovoltaic direct-drive air conditioning system," Renewable Energy, Elsevier, vol. 172(C), pages 1145-1153.
    4. Zhou, Xiaoyan & Zhang, Ying & Ma, Xun & Li, Guoliang & Wang, Yunfeng & Hu, Chengzhi & Liang, Junyu & Li, Ming, 2022. "Performance characteristics of photovoltaic cold storage under composite control of maximum power tracking and constant voltage per frequency," Applied Energy, Elsevier, vol. 305(C).
    5. Gao, Yuhe & Ji, Jie & Han, Kedong & Zhang, Feng, 2021. "Experimental and numerical study of a PV/T direct-driven refrigeration/heating system," Energy, Elsevier, vol. 230(C).
    6. Su, Zixiang & Yang, Liu, 2022. "Peak shaving strategy for renewable hybrid system driven by solar and radiative cooling integrating carbon capture and sewage treatment," Renewable Energy, Elsevier, vol. 197(C), pages 1115-1132.
    7. Su, Peng & Ji, Jie & Cai, Jingyong & Gao, Yuhe & Han, Kedong, 2020. "Dynamic simulation and experimental study of a variable speed photovoltaic DC refrigerator," Renewable Energy, Elsevier, vol. 152(C), pages 155-164.

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