IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v212y2025ics1364032125001054.html
   My bibliography  Save this article

Shading impact modeling on photovoltaic panel performance

Author

Listed:
  • Ramezani, Faeze
  • Mirhosseini, Mojtaba

Abstract

The performance of photovoltaic modules is strongly influenced by environmental factors, with shading from surrounding obstacles being particularly impactful. By installing photovoltaic modules outdoors, shading becomes inevitable. Shading reduces solar irradiance incident on the module surface, leading to reduced electricity generation. The position of obstacles is a key determinant of performance degradation. This study evaluates the impact of shading on a 100-W photovoltaic module located in northeast Tehran, Iran, focusing on static obstacles with fixed-geometric shapes. Five distinct methods, integrating various existing shading and solar radiation models with the single-diode model, were employed to predict photovoltaic energy output under shading conditions. MATLAB was used to implement the models and analyze shading effects caused by a rectangular cuboid obstacle positioned to the north, south, east, and west of the module. The results revealed that obstacle positioning significantly affects the degree of energy loss. The obstacle to the south caused the most severe shading, often reducing energy generation by over 50 %, while the northern obstacle had the least detrimental impact. The study also highlights that the choice of shading model plays a critical role in prediction accuracy. Using the most precise shading model improved energy prediction accuracy by up to 53 %. Although radiation model accuracy contributes to the overall prediction, its effect is less pronounced. Enhancements from the more accurate radiation model were comparatively smaller, ranging from 13 % to 15 %. These findings underscore the importance of carefully optimizing photovoltaic module placement with its surrounding environment to minimize energy losses under shading conditions.

Suggested Citation

  • Ramezani, Faeze & Mirhosseini, Mojtaba, 2025. "Shading impact modeling on photovoltaic panel performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
  • Handle: RePEc:eee:rensus:v:212:y:2025:i:c:s1364032125001054
    DOI: 10.1016/j.rser.2025.115432
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032125001054
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2025.115432?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Emrah Ismail Cevik & Durmuş Çağrı Yıldırım & Sel Dibooglu, 2021. "Renewable and non-renewable energy consumption and economic growth in the US: A Markov-Switching VAR analysis," Energy & Environment, , vol. 32(3), pages 519-541, May.
    2. Zainali, Sebastian & Ma Lu, Silvia & Stridh, Bengt & Avelin, Anders & Amaducci, Stefano & Colauzzi, Michele & Campana, Pietro Elia, 2023. "Direct and diffuse shading factors modelling for the most representative agrivoltaic system layouts," Applied Energy, Elsevier, vol. 339(C).
    3. Ridha, Hussein Mohammed & Hizam, Hashim & Gomes, Chandima & Heidari, Ali Asghar & Chen, Huiling & Ahmadipour, Masoud & Muhsen, Dhiaa Halboot & Alghrairi, Mokhalad, 2021. "Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method," Energy, Elsevier, vol. 224(C).
    4. Sampath Kumar Vankadara & Shamik Chatterjee & Praveen Kumar Balachandran, 2022. "An accurate analytical modeling of solar photovoltaic system considering Rs and Rsh under partial shaded condition," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2472-2481, October.
    5. Yadav, S. & Panda, S.K. & Tripathy, M., 2018. "Performance of building integrated photovoltaic thermal system with PV module installed at optimum tilt angle and influenced by shadow," Renewable Energy, Elsevier, vol. 127(C), pages 11-23.
    6. Martín Silva & Justo Jose Roberts & Pedro Osvaldo Prado, 2021. "Calculation of the Shading Factors for Solar Modules with MATLAB," Energies, MDPI, vol. 14(15), pages 1-23, August.
    7. Yadav, Somil & Panda, S.K. & Hachem-Vermette, Caroline, 2020. "Optimum azimuth and inclination angle of BIPV panel owing to different factors influencing the shadow of adjacent building," Renewable Energy, Elsevier, vol. 162(C), pages 381-396.
    8. Maryon Eliza Matius & Mohd Azlan Ismail & Yan Yan Farm & Adriana Erica Amaludin & Mohd Adzrie Radzali & Ahmad Fazlizan & Wan Khairul Muzammil, 2021. "On the Optimal Tilt Angle and Orientation of an On-Site Solar Photovoltaic Energy Generation System for Sabah’s Rural Electrification," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
    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. Coşanay, Hakan & Öztop, Hakan F. & Özalp, Coşkun & Sahin, Ibrahim H. & Hürdoğan, Ertaç & Sahin, Ahmet Z., 2025. "Performance analysis of a novel-designed building roof top photovoltaic/thermal collector under partial shading conditions," Energy, Elsevier, vol. 322(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. Baek, Jieun & Choi, Yosoon, 2023. "Optimal installation and operation planning of parking spaces for solar-powered electric vehicles using hemispherical images," Renewable Energy, Elsevier, vol. 219(P1).
    2. Hossain, Mohammad Razib & Singh, Sanjeet & Sharma, Gagan Deep & Apostu, Simona-Andreea & Bansal, Pooja, 2023. "Overcoming the shock of energy depletion for energy policy? Tracing the missing link between energy depletion, renewable energy development and decarbonization in the USA," Energy Policy, Elsevier, vol. 174(C).
    3. Kamil Makieła & Błażej Mazur & Jakub Głowacki, 2022. "The Impact of Renewable Energy Supply on Economic Growth and Productivity," Energies, MDPI, vol. 15(13), pages 1-13, June.
    4. Manish Kumar Singla & Jyoti Gupta & Mohammed H. Alsharif & Abu Jahid & Khalid Yahya, 2023. "Sustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Method," Sustainability, MDPI, vol. 16(1), pages 1-16, December.
    5. Metehan Yılgör & Suna Korkmaz & Fulden Kömüryakan, 2021. "The Relationship between Non-Renewable Energy Consumption and Economic Growth: A Regional Analysis of European Continent," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 6(3), pages 587-607.
    6. Azaioud, Hakim & Farnam, Arash & Knockaert, Jos & Vandevelde, Lieven & Desmet, Jan, 2024. "Efficiency optimisation and converterless PV integration by applying a dynamic voltage on an LVDC backbone," Applied Energy, Elsevier, vol. 356(C).
    7. Nagwa F Ibrahim & Mohamed Metwally Mahmoud & Hashim Alnami & Daniel Eutyche Mbadjoun Wapet & Sid Ahmed El Mehdi Ardjoun & Mohamed I Mosaad & Ammar M Hassan & H Abdelfattah, 2023. "A new adaptive MPPT technique using an improved INC algorithm supported by fuzzy self-tuning controller for a grid-linked photovoltaic system," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-22, November.
    8. Dušan Katunský & Marián Vertaľ & Erika Dolníková & Silvia Zozuláková & Kristián Hutkai & Zuzana Dická, 2022. "Mutual Interaction of Daylight and Overheating in the Attic Space in Summer Time," Sustainability, MDPI, vol. 14(23), pages 1-25, November.
    9. Fan, Yi & Wang, Pengjun & Heidari, Ali Asghar & Chen, Huiling & HamzaTurabieh, & Mafarja, Majdi, 2022. "Random reselection particle swarm optimization for optimal design of solar photovoltaic modules," Energy, Elsevier, vol. 239(PA).
    10. Long, Han & Prasad, Biman & Krishna, Victor & Tang, Kai & Chang, Chun-Ping, 2024. "Understanding the key determinants of Fiji's renewable energy," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1144-1157.
    11. Isen, Evren & Duman, Serhat, 2024. "Improved stochastic fractal search algorithm involving design operators for solving parameter extraction problems in real-world engineering optimization problems," Applied Energy, Elsevier, vol. 365(C).
    12. Arsenio Barbón & Luis Bayón & Guzmán Díaz & Carlos A. Silva, 2022. "Investigation of the Effect of Albedo in Photovoltaic Systems for Urban Applications: Case Study for Spain," Energies, MDPI, vol. 15(21), pages 1-20, October.
    13. Nandhini Kullampalayam Murugaiyan & Kumar Chandrasekaran & Magdalin Mary Devapitchai & Tomonobu Senjyu, 2024. "Parameter Estimation of Three-Diode Photovoltaic Model Using Reinforced Learning-Based Parrot Optimizer with an Adaptive Secant Method," Sustainability, MDPI, vol. 16(23), pages 1-34, December.
    14. Zhang, Kai & Chen, Min & Yang, Yue & Zhong, Teng & Zhu, Rui & Zhang, Fan & Qian, Zhen & Lü, Guonian & Yan, Jinyue, 2022. "Quantifying the photovoltaic potential of highways in China," Applied Energy, Elsevier, vol. 324(C).
    15. Liu, Yun & Heidari, Ali Asghar & Ye, Xiaojia & Liang, Guoxi & Chen, Huiling & He, Caitou, 2021. "Boosting slime mould algorithm for parameter identification of photovoltaic models," Energy, Elsevier, vol. 234(C).
    16. Jingwei Zhang & Zenan Yang & Kun Ding & Li Feng & Frank Hamelmann & Xihui Chen & Yongjie Liu & Ling Chen, 2022. "Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals of I–V Characteristics," Energies, MDPI, vol. 15(18), pages 1-17, September.
    17. Wu, Jing & Zhang, Ling & Liu, Zhongbing & Wu, Zhenghong, 2021. "Coupled optical-electrical-thermal analysis of a semi-transparent photovoltaic glazing façade under building shadow," Applied Energy, Elsevier, vol. 292(C).
    18. Kosmopoulos, Panagiotis & Dhake, Harshal & Kartoudi, Danai & Tsavalos, Anastasios & Koutsantoni, Pelagia & Katranitsas, Apostolos & Lavdakis, Nikolaos & Mengou, Eftihia & Kashyap, Yashwant, 2024. "Ray-Tracing modeling for urban photovoltaic energy planning and management," Applied Energy, Elsevier, vol. 369(C).
    19. Ridha, Hussein Mohammed & Hizam, Hashim & Mirjalili, Seyedali & Othman, Mohammad Lutfi & Ya'acob, Mohammad Effendy & Ahmadipour, Masoud, 2022. "Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    20. Arias-Rosales, Andrés & LeDuc, Philip R., 2022. "Shadow modeling in urban environments for solar harvesting devices with freely defined positions and orientations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:rensus:v:212:y:2025:i:c:s1364032125001054. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.