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Numerical simulation of a novel pavement integrated photovoltaic thermal (PIPVT) module

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  • Li, Senji
  • Chen, Zhenwu
  • Liu, Xing
  • Zhang, Xiaochun
  • Zhou, Yong
  • Gu, Wenbo
  • Ma, Tao

Abstract

A combination of photovoltaic thermal (PVT) technology and pavement, namely pavement integrated photovoltaic thermal (PIPVT), is a promising method to take advantage of vast roads and pavements for electrical generation and thermal production simultaneously. In this paper, the PIPVT module is firstly proposed and its mathematical model for performance evaluation is developed. Based on the validated model, a parametric analysis is conducted to investigate the impact of operating parameters and weather condition on its operation performance, and determine the favorable climate and parameter settings for practical application. Results reveal that an increase in solar radiation, ambient temperature and transmissivity of anti-slip layer could lead to a positive influence on the overall performance, while the rise of tank volume and wind speed will deteriorate the system performance, estimated on the primary energy saving (PES) efficiency. Moreover, a case study is performed to examine the feasibility of this novel technology, illustrating that the two PIPVT modules of 0.85 m2 could generate 0.62 kWh electricity and 1.36 kWh heat based on the incident 5.22 kWh solar energy on a typical summer day. Finally, a long-term performance simulation is also conducted, demonstrating that the proposed two PIPVT modules could generate 125.04 kWh electricity and 176.45 kWh heat annually in Shanghai, with the electrical, thermal and PES efficiency at 12.78%, 18.03% and 51.65%, respectively.

Suggested Citation

  • Li, Senji & Chen, Zhenwu & Liu, Xing & Zhang, Xiaochun & Zhou, Yong & Gu, Wenbo & Ma, Tao, 2021. "Numerical simulation of a novel pavement integrated photovoltaic thermal (PIPVT) module," Applied Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:appene:v:283:y:2021:i:c:s0306261920316755
    DOI: 10.1016/j.apenergy.2020.116287
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    Cited by:

    1. Hu, Hengwu & Vizzari, Domenico & Zha, Xudong & Roberts, Ronald, 2021. "Solar pavements: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
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    3. Mao, Mingxuan & Chen, Siyu & Yan, Jinyue, 2023. "Modelling pavement photovoltaic arrays with cellular automata," Applied Energy, Elsevier, vol. 330(PB).
    4. Guo, Junfei & Liu, Zhan & Yang, Bo & Yang, Xiaohu & Yan, Jinyue, 2022. "Melting assessment on the angled fin design for a novel latent heat thermal energy storage tube," Renewable Energy, Elsevier, vol. 183(C), pages 406-422.
    5. Zhang, Yijie & Ma, Tao & Yang, Hongxing & Li, Zongyu & Wang, Yuhong, 2023. "Simulation and experimental study on the energy performance of a pre-fabricated photovoltaic pavement," Applied Energy, Elsevier, vol. 342(C).
    6. Xu, Huining & Shi, Hao & Tan, Yiqiu & Ye, Qing & Liu, Xiujie, 2022. "Modeling and assessment of operation economic benefits for hydronic snow melting pavement system," Applied Energy, Elsevier, vol. 326(C).
    7. Ahmed, Salman & Li, Senji & Li, Zhenpeng & Xiao, Gang & Ma, Tao, 2022. "Enhanced radiative cooling of solar cells by integration with heat pipe," Applied Energy, Elsevier, vol. 308(C).
    8. Mingxuan Mao & Xiaoyu Ni, 2024. "A Comprehensive Review of Physical Models and Performance Evaluations for Pavement Photovoltaic Modules," Energies, MDPI, vol. 17(11), pages 1-17, May.
    9. Salari, Ali & Shakibi, Hamid & Soleimanzade, Mohammad Amin & Sadrzadeh, Mohtada & Hakkaki-Fard, Ali, 2024. "Application of machine learning in evaluating and optimizing the hydrogen production performance of a solar-based electrolyzer system," Renewable Energy, Elsevier, vol. 220(C).

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