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A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading

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  • Saoud A. Al-Janahi

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha 34110, Qatar)

  • Omar Ellabban

    (Iberdrola Innovation Middle East, Qatar Science & Technology Park, Doha 210177, Qatar)

  • Sami G. Al-Ghamdi

    (Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha 34110, Qatar)

Abstract

The feasibility of electricity production via solar energy in the Middle East is high due to the enormous value of solar radiation. Building-integrated photovoltaics (BIPV) are systems used to utilise the unused spaces that can be installed on the façade or roof by replacing the building’s main element. However, the main problem associated with electricity production by BIPV is partial shading on the roof, which can produce multiple hot spots and disturbances to the system if the insolation values within the whole BIPV array vary. Partial shading, in this case, is observed due to the complexly shaped roof. This paper studies the partial shading effect on one of Qatar’s most recent projects (metro stations), and models the Education City station, which is a major station. The rooftop is complex, and it has many wavy shapes that can affect the BIPV system’s performance. The station is modelled using building-information modelling (BIM) software, wherein all of the station’s models are gathered and linked using BIM software to illustrate the BIPV and indicate the solar insolation distribution on the rooftop by simulating the station’s rooftop. The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. The outcomes from the algorithm are based on clustering the solar insolation values and then applying a genetic algorithm optimisation to indicate the optimum BIPV array layout for maximum yield.

Suggested Citation

  • Saoud A. Al-Janahi & Omar Ellabban & Sami G. Al-Ghamdi, 2020. "A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading," Energies, MDPI, vol. 13(17), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4470-:d:406328
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    1. Deshkar, Shubhankar Niranjan & Dhale, Sumedh Bhaskar & Mukherjee, Jishnu Shekar & Babu, T. Sudhakar & Rajasekar, N., 2015. "Solar PV array reconfiguration under partial shading conditions for maximum power extraction using genetic algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 102-110.
    2. Bachour, D. & Perez-Astudillo, D., 2014. "Ground measurements of Global Horizontal Irradiation in Doha, Qatar," Renewable Energy, Elsevier, vol. 71(C), pages 32-36.
    3. Alonso Campos, J.C. & Jiménez-Bello, M.A. & Martínez Alzamora, F., 2020. "Real-time energy optimization of irrigation scheduling by parallel multi-objective genetic algorithms," Agricultural Water Management, Elsevier, vol. 227(C).
    4. Zhou, Yi & Zhou, Nanrun & Gong, Lihua & Jiang, Minlin, 2020. "Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine," Energy, Elsevier, vol. 204(C).
    5. Walker, Linus & Hofer, Johannes & Schlueter, Arno, 2019. "High-resolution, parametric BIPV and electrical systems modeling and design," Applied Energy, Elsevier, vol. 238(C), pages 164-179.
    6. Husain, Alaa A.F. & Hasan, Wan Zuha W. & Shafie, Suhaidi & Hamidon, Mohd N. & Pandey, Shyam Sudhir, 2018. "A review of transparent solar photovoltaic technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 779-791.
    7. Mohammadmehdi Seyedmahmoudian & Saad Mekhilef & Rasoul Rahmani & Rubiyah Yusof & Ehsan Taslimi Renani, 2013. "Analytical Modeling of Partially Shaded Photovoltaic Systems," Energies, MDPI, vol. 6(1), pages 1-17, January.
    8. Parida, Bhubaneswari & Iniyan, S. & Goic, Ranko, 2011. "A review of solar photovoltaic technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1625-1636, April.
    9. Martín-Pomares, Luis & Martínez, Diego & Polo, Jesús & Perez-Astudillo, Daniel & Bachour, Dunia & Sanfilippo, Antonio, 2017. "Analysis of the long-term solar potential for electricity generation in Qatar," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1231-1246.
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    1. Tian, Xinyi & Wang, Jun & Yuan, Shuang & Ji, Jie & Ke, Wei & Wang, Chuyao, 2023. "Investigation on the electrical performance of a curved PV roof integrated with CIGS cells for traditional Chinese houses," Energy, Elsevier, vol. 263(PC).
    2. Kyung-Woo Lee & Hyo-Mun Lee & Ru-Da Lee & Dong-Su Kim & Jong-Ho Yoon, 2021. "The Impact of Cracks in BIPV Modules on Power Outputs: A Case Study Based on Measured and Simulated Data," Energies, MDPI, vol. 14(4), pages 1-17, February.
    3. Jong Rok Lim & Woo Gyun Shin & Chung Geun Lee & Yong Gyu Lee & Young Chul Ju & Suk Whan Ko & Jung Dong Kim & Gi Hwan Kang & Hyemi Hwang, 2020. "A Study of the Electrical Output and Reliability Characteristics of the Crystalline Photovoltaic Module According to the Front Materials," Energies, MDPI, vol. 14(1), pages 1-10, December.
    4. Jesús Polo & Nuria Martín-Chivelet & Miguel Alonso-Abella & Carlos Sanz-Saiz & José Cuenca & Marina de la Cruz, 2023. "Exploring the PV Power Forecasting at Building Façades Using Gradient Boosting Methods," Energies, MDPI, vol. 16(3), pages 1-12, February.
    5. Jing, Yifan & Zhu, Li & Yin, Baoquan & Li, Fangfang, 2023. "Evaluating the PV system expansion potential of existing integrated energy parks: A case study in North China," Applied Energy, Elsevier, vol. 330(PA).
    6. Tian, Xinyi & Wang, Jun & Ji, Jie & Wang, Chuyao & Ke, Wei & Yuan, Shuang, 2023. "A multifunctional curved CIGS photovoltaic/thermal roof system: A numerical and experimental investigation," Energy, Elsevier, vol. 273(C).
    7. Wijeratne, W.M. Pabasara Upalakshi & Samarasinghalage, Tharushi Imalka & Yang, Rebecca Jing & Wakefield, Ron, 2022. "Multi-objective optimisation for building integrated photovoltaics (BIPV) roof projects in early design phase," Applied Energy, Elsevier, vol. 309(C).

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