IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v369y2024ics0306261924009577.html
   My bibliography  Save this article

Modelling bifacial irradiance – Step-by-step comparison and validation of view factor and ray tracing models

Author

Listed:
  • Ernst, Marco
  • Asselineau, Charles-Alexis
  • Tillmann, Peter
  • Jäger, Klaus
  • Becker, Christiane

Abstract

This study presents a comprehensive comparative analysis of View-Factor (VF) and Ray Tracing (RT) models to evaluate their effectiveness in predicting bifacial irradiance in bifacial photovoltaic (PV) systems. The comparison was conducted using an experimental dataset from NREL (CO, USA), which included front and rear plane-of-array (POA) irradiance values measured by silicon solar cell pyranometers. This initial step established a baseline understanding of each model's predictive capabilities in a real-world context. The comparison with POA measurements indicates that for front illumination, both models are closely aligned with relative Root Mean Square Error (rRMSE) of 7.2% (VF) and 7.6% (RT). For rear illumination, the rRMSE increases to 20.9% and 22.9% for the VF and RT models, respectively. Additionally, both models show a similar relative Mean Bias Error (rMBE) for front illumination of −1.8% and − 2.0% for the VF and RT methodologies, respectively. However, for rear illumination, the RT model predicts with only −0.1% bias, while the VF model underestimates POA irradiance by 8.4%.

Suggested Citation

  • Ernst, Marco & Asselineau, Charles-Alexis & Tillmann, Peter & Jäger, Klaus & Becker, Christiane, 2024. "Modelling bifacial irradiance – Step-by-step comparison and validation of view factor and ray tracing models," Applied Energy, Elsevier, vol. 369(C).
  • Handle: RePEc:eee:appene:v:369:y:2024:i:c:s0306261924009577
    DOI: 10.1016/j.apenergy.2024.123574
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924009577
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.123574?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Lo, Chin Kim & Lim, Yun Seng & Rahman, Faidz Abd, 2015. "New integrated simulation tool for the optimum design of bifacial solar panel with reflectors on a specific site," Renewable Energy, Elsevier, vol. 81(C), pages 293-307.
    Full references (including those not matched with items on IDEAS)

    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. Ibukun Damilola Fajuke & Atanda K. Raji, 2022. "Firefly Algorithm-Based Optimization of the Additional Energy Yield of Bifacial PV Modules," Energies, MDPI, vol. 15(7), pages 1-13, April.
    2. Sun, Xingshu & Khan, Mohammad Ryyan & Deline, Chris & Alam, Muhammad Ashraful, 2018. "Optimization and performance of bifacial solar modules: A global perspective," Applied Energy, Elsevier, vol. 212(C), pages 1601-1610.
    3. Carlos Morón & Daniel Ferrández & Pablo Saiz & Gabriela Vega & Jorge Pablo Díaz, 2017. "New Prototype of Photovoltaic Solar Tracker Based on Arduino," Energies, MDPI, vol. 10(9), pages 1-13, August.
    4. Preeti Kumari Sahu & J. N. Roy & Chandan Chakraborty & Senthilarasu Sundaram, 2021. "A New Model for Estimation of Energy Extraction from Bifacial Photovoltaic Modules," Energies, MDPI, vol. 14(16), pages 1-16, August.
    5. Antonio Manuel Gómez-Orellana & Juan Carlos Fernández & Manuel Dorado-Moreno & Pedro Antonio Gutiérrez & César Hervás-Martínez, 2021. "Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux," Energies, MDPI, vol. 14(2), pages 1-33, January.
    6. Katsikogiannis, Odysseas Alexandros & Ziar, Hesan & Isabella, Olindo, 2022. "Integration of bifacial photovoltaics in agrivoltaic systems: A synergistic design approach," Applied Energy, Elsevier, vol. 309(C).
    7. Patel, M. Tahir & Khan, M. Ryyan & Sun, Xingshu & Alam, Muhammad A., 2019. "A worldwide cost-based design and optimization of tilted bifacial solar farms," Applied Energy, Elsevier, vol. 247(C), pages 467-479.
    8. Zhong, Jianmei & Zhang, Wei & Xie, Lingzhi & Zhao, Oufan & Wu, Xin & Zeng, Xiding & Guo, Jiahong, 2023. "Development and challenges of bifacial photovoltaic technology and application in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).

    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:appene:v:369:y:2024:i:c:s0306261924009577. 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/405891/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.