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Study on optimal allocation of solar photovoltaic thermal heat pump integrated energy system for domestic hot water

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  • Mi, Peiyuan
  • Zhang, Jili
  • Gao, Jin
  • Han, Youhua

Abstract

In recent years, solar photovoltaic thermal heat pump has become a highly concerned near-zero carbon energy technology for domestic hot water. In order to facilitate the optimal configuration design of the system for domestic hot water, following studies were carried out in this paper: Firstly, the photovoltaic thermal heat pump integrated energy system was established and the operation study of the system was carried out. During the operation, the average coefficient of system heating performance was 2.76 in winter, 3.55 in transition season and 4.10 in summer. Afterwards, the prediction model of system operation performance was established and hourly system performance prediction of the system in the whole year was conducted. Then, the system for domestic hot water with a total installed photovoltaic capacity of 1 MW was taking as a case study to establish the calculation model. Finally, the optimal allocation of the system was carried out with the goal of minimizing the dynamic investment payback period, then the standard cell method was proposed to facilitate the optimal allocation design. The results showed that the minimum dynamic investment payback period of the system was 3.9 years and the daily hot water supply of the standard cell was 9.2tons.

Suggested Citation

  • Mi, Peiyuan & Zhang, Jili & Gao, Jin & Han, Youhua, 2023. "Study on optimal allocation of solar photovoltaic thermal heat pump integrated energy system for domestic hot water," Renewable Energy, Elsevier, vol. 219(P1).
    • Handle: RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013484
    DOI: 10.1016/j.renene.2023.119433
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    as
    1. jiemin, Huang & chen, Wen, 2022. "The impact of private sector energy investment, innovation and energy consumption on China's carbon emissions," Renewable Energy, Elsevier, vol. 195(C), pages 1291-1299.
    2. Zhang, Zixuan & Chen, Huaichao, 2022. "Dynamic interaction of renewable energy technological innovation, environmental regulation intensity and carbon pressure: Evidence from China," Renewable Energy, Elsevier, vol. 192(C), pages 420-430.
    3. Gholipour, Shayan & Afrand, Masoud & Kalbasi, Rasool, 2020. "Improving the efficiency of vacuum tube collectors using new absorbent tubes arrangement: Introducing helical coil and spiral tube adsorbent tubes," Renewable Energy, Elsevier, vol. 151(C), pages 772-781.
    4. Geovo, Leonardo & Ri, Guilherme Dal & Kumar, Rahul & Verma, Sujit Kumar & Roberts, Justo J. & Mendiburu, Andrés Z., 2023. "Theoretical model for flat plate solar collectors operating with nanofluids: Case study for Porto Alegre, Brazil," Energy, Elsevier, vol. 263(PB).
    5. Gu, Bo & Zhang, Tianren & Meng, Hang & Zhang, Jinhua, 2021. "Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation," Renewable Energy, Elsevier, vol. 164(C), pages 687-708.
    6. Aziz, W. & Chaturvedi, S.K. & Kheireddine, A., 1999. "Thermodynamic analysis of two-component, two-phase flow in solar collectors with application to a direct-expansion solar-assisted heat pump," Energy, Elsevier, vol. 24(3), pages 247-259.
    7. Mi, Peiyuan & Zhang, Jili & Han, Youhua & Guo, Xiaochao, 2022. "Operation performance study and prediction of photovoltaic thermal heat pump system engineering in winter," Applied Energy, Elsevier, vol. 306(PB).
    8. Shao, Nina & Ma, Liangdong & Zhang, Jili, 2020. "Experimental investigation on the performance of direct-expansion roof-PV/T heat pump system," Energy, Elsevier, vol. 195(C).
    9. Zeng, Yu-Rong & Zeng, Yi & Choi, Beomjin & Wang, Lin, 2017. "Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network," Energy, Elsevier, vol. 127(C), pages 381-396.
    10. Sun, Chengpeng & Wu, Haifeng & Wang, Ruixiang & Xing, Meibo & Tang, Wentao, 2022. "An improvement approach for the solar collector by optimizing the interface of assembling structure," Renewable Energy, Elsevier, vol. 195(C), pages 688-700.
    11. Alsaleh, Mohd & Yang, Zhengyong & Chen, Tinggui & Wang, Xiaohui & Abdul-Rahim, Abdul Samad & Mahmood, Haider, 2023. "Moving toward environmental sustainability: Assessing the influence of geothermal power on carbon dioxide emissions," Renewable Energy, Elsevier, vol. 202(C), pages 880-893.
    Full references (including those not matched with items on IDEAS)

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