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Building-integrated photovoltaics (BIPV): A mathematical approach to evaluate the electrical production of solar PV blinds

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  • Nicoletti, Francesco
  • Cucumo, Mario Antonio
  • Arcuri, Natale

Abstract

Lower prices for photovoltaic systems lead to the spread of building-integrated photovoltaics (BIPV). In this paper, a simple method is proposed to evaluate the electrical power produced by Solar Photovoltaic Blinds (SPB). The equations allow to assess slat mutual shading and view factors and are applicable to any slat inclination, any orientation and any geometry. The possibility that the PV layer does not entirely cover the lamella is also considered. A parametric study is performed to evaluate the impact of geometric factors on the annual yield. The paper shows that 1) The south-east (or -west) orientation provides maximum electrical production. 2) Automating closing PV blinds in summer, when room is unoccupied, allows to increase electricity production by approximately 9% for the south, east and west exposures and 16% for the north exposure. 3) There is a slat distance/width ratio that maximizes the annual electricity produced. It depends on the handling strategy and is about 0.6 for energy optimizing methods and 0.7 for standard uses. 4) Solar tracking that maximizes the radiation entering the room in winter significantly reduces electricity production. 5) The reflectivity of the back of the slats has a little influence on the annual production (up to 5%).

Suggested Citation

  • Nicoletti, Francesco & Cucumo, Mario Antonio & Arcuri, Natale, 2023. "Building-integrated photovoltaics (BIPV): A mathematical approach to evaluate the electrical production of solar PV blinds," Energy, Elsevier, vol. 263(PD).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222029164
    DOI: 10.1016/j.energy.2022.126030
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    References listed on IDEAS

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    1. Gao, Yuan & Dong, Jianfei & Isabella, Olindo & Santbergen, Rudi & Tan, Hairen & Zeman, Miro & Zhang, Guoqi, 2018. "A photovoltaic window with sun-tracking shading elements towards maximum power generation and non-glare daylighting," Applied Energy, Elsevier, vol. 228(C), pages 1454-1472.
    2. Hong, Taehoon & Koo, Choongwan & Oh, Jeongyoon & Jeong, Kwangbok, 2017. "Nonlinearity analysis of the shading effect on the technical–economic performance of the building-integrated photovoltaic blind," Applied Energy, Elsevier, vol. 194(C), pages 467-480.
    3. Piero Bevilacqua & Stefania Perrella & Daniela Cirone & Roberto Bruno & Natale Arcuri, 2021. "Efficiency Improvement of Photovoltaic Modules via Back Surface Cooling," Energies, MDPI, vol. 14(4), pages 1-18, February.
    4. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    5. Hong, Seongkwan & Choi, An-Seop & Sung, Minki, 2017. "Development and verification of a slat control method for a bi-directional PV blind," Applied Energy, Elsevier, vol. 206(C), pages 1321-1333.
    6. Francesco Nicoletti & Cristina Carpino & Mario A. Cucumo & Natale Arcuri, 2020. "The Control of Venetian Blinds: A Solution for Reduction of Energy Consumption Preserving Visual Comfort," Energies, MDPI, vol. 13(7), pages 1-12, April.
    7. Luo, Yongqiang & Zhang, Ling & Su, Xiaosong & Liu, Zhongbing & Lian, Jinbu & Luo, Yongwei, 2019. "Improved thermal-electrical-optical model and performance assessment of a PV-blind embedded glazing façade system with complex shading effects," Applied Energy, Elsevier, vol. 255(C).
    8. Bevilacqua, Piero & Perrella, Stefania & Bruno, Roberto & Arcuri, Natale, 2021. "An accurate thermal model for the PV electric generation prediction: long-term validation in different climatic conditions," Renewable Energy, Elsevier, vol. 163(C), pages 1092-1112.
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    Cited by:

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