IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i17p4470-d406328.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/17/4470/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/17/4470/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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).
    3. 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.
    4. 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.
    5. Bachour, D. & Perez-Astudillo, D., 2014. "Ground measurements of Global Horizontal Irradiation in Doha, Qatar," Renewable Energy, Elsevier, vol. 71(C), pages 32-36.
    6. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gorjian, Shiva & Bousi, Erion & Özdemir, Özal Emre & Trommsdorff, Max & Kumar, Nallapaneni Manoj & Anand, Abhishek & Kant, Karunesh & Chopra, Shauhrat S., 2022. "Progress and challenges of crop production and electricity generation in agrivoltaic systems using semi-transparent photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Hyeog-in Kwon & Yong-su Jeon & Bo-hyun Baek, 2021. "Solar Signage Business Model Design Using the EPSS Framework," Energies, MDPI, vol. 14(21), pages 1-14, October.
    3. Geon Lee & Hyunjung Kang & Jooyeong Yun & Dongwoo Chae & Minsu Jeong & Minseo Jeong & Dasol Lee & Miso Kim & Heon Lee & Junsuk Rho, 2024. "Integrated triboelectric nanogenerator and radiative cooler for all-weather transparent glass surfaces," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Paula Donaduzzi Rigo & Carmen Brum Rosa & Graciele Rediske & Julio Cezar Mairesse Siluk & Leandro Michels, 2022. "A Software Application to Support Decision-making in Small-scale Photovoltaic Projects," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 32-39.
    5. Ahmed Al Mansur & Md. Ruhul Amin & Kazi Khairul Islam, 2019. "Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations," Energies, MDPI, vol. 12(5), pages 1-21, March.
    6. Amanlou, Yasaman & Hashjin, Teymour Tavakoli & Ghobadian, Barat & Najafi, G. & Mamat, R., 2016. "A comprehensive review of Uniform Solar Illumination at Low Concentration Photovoltaic (LCPV) Systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1430-1441.
    7. Ali Jallal, Mohammed & Chabaa, Samira & Zeroual, Abdelouhab, 2020. "A novel deep neural network based on randomly occurring distributed delayed PSO algorithm for monitoring the energy produced by four dual-axis solar trackers," Renewable Energy, Elsevier, vol. 149(C), pages 1182-1196.
    8. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
    9. Manoharan Premkumar & Umashankar Subramaniam & Thanikanti Sudhakar Babu & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2020. "Evaluation of Mathematical Model to Characterize the Performance of Conventional and Hybrid PV Array Topologies under Static and Dynamic Shading Patterns," Energies, MDPI, vol. 13(12), pages 1-37, June.
    10. 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).
    11. Selin Kocaman, Ayse & Abad, Carlos & Troy, Tara J. & Tim Huh, Woonghee & Modi, Vijay, 2016. "A stochastic model for a macroscale hybrid renewable energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 688-703.
    12. Vivar, M. & H, Sharon & Fuentes, M., 2024. "Photovoltaic system adoption in water related technologies – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    13. Yong-gang Zhang & Junbo Qiu & Yan Zhang & Yongyao Wei, 2021. "The adoption of ELM to the prediction of soil liquefaction based on CPT," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 539-549, May.
    14. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    15. Kannan, Nadarajah & Vakeesan, Divagar, 2016. "Solar energy for future world: - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1092-1105.
    16. Xiao, Gang & Zheng, Guanghua & Ni, Dong & Li, Qiang & Qiu, Min & Ni, Mingjiang, 2018. "Thermodynamic assessment of solar photon-enhanced thermionic conversion," Applied Energy, Elsevier, vol. 223(C), pages 134-145.
    17. Rahman, Syed Masiur & Khondaker, A.N., 2012. "Mitigation measures to reduce greenhouse gas emissions and enhance carbon capture and storage in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2446-2460.
    18. Weng-Hooi Tan & Junita Mohamad-Saleh, 2023. "Critical Review on Interrelationship of Electro-Devices in PV Solar Systems with Their Evolution and Future Prospects for MPPT Applications," Energies, MDPI, vol. 16(2), pages 1-37, January.
    19. Assoa, Y.B. & Levrard, D., 2020. "A lightweight triangular building integrated photovoltaic module," Applied Energy, Elsevier, vol. 279(C).
    20. Mehrabankhomartash, Mahmoud & Rayati, Mohammad & Sheikhi, Aras & Ranjbar, Ali Mohammad, 2017. "Practical battery size optimization of a PV system by considering individual customer damage function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 36-50.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4470-:d:406328. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.