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Neighbouring shading effect on photovoltaic panel system: Its implication to green building certification scheme

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  • Chan, Lok Shun

Abstract

Nowadays, photovoltaic (PV) system is one of the commonly adopted renewable energy systems. Many countries promote the application of PV system in buildings through green building certification schemes. On a building rooftop, there are various building facilities which may cast shadow on PV panels, resulting in reduction in electricity generation. Currently, there is rare attention to the neighbouring shading effect (NSE) on the performance of rooftop PV system. This study investigates the performance of PV system under NSE, using weather data of seven cities located at different geographical latitudes. These seven cities are Singapore (1.37° N), Hong Kong (22.3° N), Shanghai (31.17° N), Beijing (39.8° N), Harbin (45.72° N), Washington, USA (38.98° N) and London, UK (51.15° N). By comparing the building cases with and without considering NSE, the results unveil a substantial percentage difference in PV electricity generation and energy payback time (EPBT) ranging from −12.62% to −28.34% and −14.43% to −39.55%, respectively. Moreover, it reveals the dependence of percentage difference in PV electricity generation and EPBT on the latitude of a city. For the current green building certification schemes, mandatory requirement to take NSE into account for assessing the performance of rooftop PV system is recommended.

Suggested Citation

  • Chan, Lok Shun, 2022. "Neighbouring shading effect on photovoltaic panel system: Its implication to green building certification scheme," Renewable Energy, Elsevier, vol. 188(C), pages 476-490.
    • Handle: RePEc:eee:renene:v:188:y:2022:i:c:p:476-490
    DOI: 10.1016/j.renene.2022.02.058
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    References listed on IDEAS

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    1. Ramli, Mohd Zulkifli & Salam, Zainal, 2019. "Performance evaluation of dc power optimizer (DCPO) for photovoltaic (PV) system during partial shading," Renewable Energy, Elsevier, vol. 139(C), pages 1336-1354.
    2. Myeongchan Oh & Hyeong-Dong Park, 2019. "Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University," Energies, MDPI, vol. 12(17), pages 1-17, August.
    3. Hartley, L.E. & Martínez-Lozano, J.A. & Utrillas, M.P. & Tena, F. & Pedrós, R., 1999. "The optimisation of the angle of inclination of a solar collector to maximise the incident solar radiation," Renewable Energy, Elsevier, vol. 17(3), pages 291-309.
    4. Li, Guiqiang & Jin, Yi & Akram, M.W. & Chen, Xiao & Ji, Jie, 2018. "Application of bio-inspired algorithms in maximum power point tracking for PV systems under partial shading conditions – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 840-873.
    5. Yadav, Anurag Singh & Mukherjee, V., 2022. "Comprehensive investigation of various bypass diode associations for killer-SuDoKu PV array under several shading conditions," Energy, Elsevier, vol. 239(PB).
    6. Kamal, Rajeev & Moloney, Francesca & Wickramaratne, Chatura & Narasimhan, Arunkumar & Goswami, D.Y., 2019. "Strategic control and cost optimization of thermal energy storage in buildings using EnergyPlus," Applied Energy, Elsevier, vol. 246(C), pages 77-90.
    7. Chow, T. T. & Chan, A. L. S., 2004. "Numerical study of desirable solar-collector orientations for the coastal region of South China," Applied Energy, Elsevier, vol. 79(3), pages 249-260, November.
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    Cited by:

    1. Chepp, Ellen David & Gasparin, Fabiano Perin & Krenzinger, Arno, 2022. "Improvements in methods for analysis of partially shaded PV modules," Renewable Energy, Elsevier, vol. 200(C), pages 900-910.

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