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Performance study of a combined low-concentration bifacial photovoltaic/thermal system with glass channels

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  • Zhang, Heng
  • Zhang, Yong
  • Liang, Kai
  • Chen, Haiping

Abstract

The combination of photovoltaic and photothermal, often abbreviated as PV/T, is a promising approach that has been increasingly studied to improve solar energy conversion efficiencies. In this paper, a low-concentration bifacial PV/T system (LC-BiPV/T) which uses double-axis tracking module and direct-contact glass-channel was built. The electric and thermal performances of this system are studied experimentally. When the series and parallel waterflow configuration is compared, the result shows that the average electric efficiency of the direct contact glass-channel LC-BiPV/T system is 13% and the average thermal efficiency is 48.13% when running at series configuration. When the average electric efficiency is 14.90% and the average thermal efficiency is 58.69% at parallel configuration. In general, the thermal and electric performance of this system are excellent, and the series configuration can further improve both efficiencies of the system. This experimental result can aid on the improvement of future energy-using.

Suggested Citation

  • Zhang, Heng & Zhang, Yong & Liang, Kai & Chen, Haiping, 2021. "Performance study of a combined low-concentration bifacial photovoltaic/thermal system with glass channels," Renewable Energy, Elsevier, vol. 171(C), pages 947-957.
  • Handle: RePEc:eee:renene:v:171:y:2021:i:c:p:947-957
    DOI: 10.1016/j.renene.2021.02.142
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    References listed on IDEAS

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    Cited by:

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    2. Gao, Dan & Zhao, Yang & Liang, Kai & He, Shuyu & Zhang, Heng & Chen, Haiping, 2022. "Energy and exergy analyses of a low-concentration photovoltaic/thermal module with glass channel," Energy, Elsevier, vol. 253(C).
    3. Karimzadeh Kolamroudi, Mohammad & Ilkan, Mustafa & Egelioglu, Fuat & Safaei, Babak, 2022. "Maximization of the output power of low concentrating photovoltaic systems by the application of reflecting mirrors," Renewable Energy, Elsevier, vol. 189(C), pages 822-835.
    4. Ju, Xinyu & Liu, Huawei & Pei, Maoqing & Li, Wenzhi & Lin, Jianqing & Liu, Dongxue & Ju, Xing & Xu, Chao, 2023. "Multi-parameter study and genetic algorithm integrated optimization for a nanofluid-based photovoltaic/thermal system," Energy, Elsevier, vol. 267(C).

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