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Energy performance and enviroeconomic analysis of a novel PV-MCHP-TEG system

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  • Zhang, Yaxi
  • Zhu, Na
  • Zhao, Xudong
  • Luo, Zhenyu
  • Hu, Pingfang
  • Lei, Fei

Abstract

A novel photovoltaic (PV) system integrated with microchannel heat pipe (MCHP) array and thermoelectric generator (TEG) module, named PV-MCHP-TEG system, was proposed in this study. The PV and TEG module were used to generate electricity for the whole year. A three-way valve installed in the MCHP was used to switch the heat flow direction to improve the power efficiency of the system. The control strategy was determined to maximize the power efficiency of the PV-MCHP-TEG system. Energy and enviroeconomic performance were analyzed by Simulink and compared with traditional PV-TEG and PV systems in Wuhan (30.52°N, 114.32°E), China. The power efficiency of the PV-MCHP-TEG system, PV-TEG system and PV system was 18.75%, 16.91% and 15.80%, respectively. The annual carbon emission reduction of the PV-MCHP-TEG system, PV-TEG system and PV system was 260 kg, 234 kg and 228 kg, respectively. The enviroeconomic cost of the PV-MCHP-TEG system, PV-TEG system and PV system was ¥436.98, ¥394.02, and ¥383.55 per year, respectively. In addition, a simple payback period analysis was also carried out. It showed that the proposed PV-MCHP-TEG system performed better than traditional PV-TEG and PV system.

Suggested Citation

  • Zhang, Yaxi & Zhu, Na & Zhao, Xudong & Luo, Zhenyu & Hu, Pingfang & Lei, Fei, 2023. "Energy performance and enviroeconomic analysis of a novel PV-MCHP-TEG system," Energy, Elsevier, vol. 274(C).
    • Handle: RePEc:eee:energy:v:274:y:2023:i:c:s0360544223007363
    DOI: 10.1016/j.energy.2023.127342
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    2. Zhou, Yanting & Ma, Zhongjing & Shi, Xingyu & Zou, Suli, 2024. "Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint," Energy, Elsevier, vol. 288(C).
    3. L, Chilambarasan & Thangarasu, Vinoth & Ramasamy, Prakash, 2024. "Solar flat plate collector's heat transfer enhancement using grooved tube configuration with alumina nanofluids: Prediction of outcomes through artificial neural network modeling," Energy, Elsevier, vol. 289(C).

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