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Validation of model chains for global tilted irradiance on East-West vertical bifacial photovoltaics at high latitudes

Author

Listed:
  • Manni, Mattia
  • Jouttijärvi, Sami
  • Ranta, Samuli
  • Miettunen, Kati
  • Lobaccaro, Gabriele

Abstract

In this paper, a methodology is introduced to identify and validate the most effective model chain to estimate solar irradiance on East-West vertical bifacial photovoltaics (E-W VBPV) at high latitudes. While previous studies mainly focused on the validation of a specific step of the model chain (i.e., decomposition or transposition stage), this work investigates the whole model chain and how the combination of different models influences the results’ accuracy. After a comprehensive review, the 29 decomposition models, which perform the best in the Nordics, and the 25 most common physical and empirical transposition models are selected and combined into 725 model chains. Each model chain is experimentally validated against 1-min data about global tilted irradiance on the front and the rear of E-W VBPV in Turku (Finland). Nine different statistical metrics are calculated to rank the model chains while describing various aspects of the model chain performance (e.g., error magnitude, bias direction, reference data fitting). The main research outcomes indicate that the accuracy and bias of the model chains differ between the East and West sides of the VBPV. Therefore, using a specific model chain for each VBPV side is recommended. In this regard, the Erbs/Steven1 (decomposition model/transposition model) model chain is the top-ranked for the East side, while the Yang2/Hay1 model chain results the best for the West side. Following this, recommendations to select appropriate solar irradiance model chains for future E-W VBPV applications at high latitudes are outlined.

Suggested Citation

  • Manni, Mattia & Jouttijärvi, Sami & Ranta, Samuli & Miettunen, Kati & Lobaccaro, Gabriele, 2024. "Validation of model chains for global tilted irradiance on East-West vertical bifacial photovoltaics at high latitudes," Renewable Energy, Elsevier, vol. 220(C).
    • Handle: RePEc:eee:renene:v:220:y:2024:i:c:s0960148123016373
    DOI: 10.1016/j.renene.2023.119722
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    1. Badescu, V., 2002. "3D isotropic approximation for solar diffuse irradiance on tilted surfaces," Renewable Energy, Elsevier, vol. 26(2), pages 221-233.
    2. Olmo, F.J & Vida, J & Foyo, I & Castro-Diez, Y & Alados-Arboledas, L, 1999. "Prediction of global irradiance on inclined surfaces from horizontal global irradiance," Energy, Elsevier, vol. 24(8), pages 689-704.
    3. Mondol, Jayanta Deb & Yohanis, Yigzaw G. & Norton, Brian, 2008. "Solar radiation modelling for the simulation of photovoltaic systems," Renewable Energy, Elsevier, vol. 33(5), pages 1109-1120.
    4. Starke, Allan R. & Lemos, Leonardo F.L. & Barni, Cristian M. & Machado, Rubinei D. & Cardemil, José M. & Boland, John & Colle, Sergio, 2021. "Assessing one-minute diffuse fraction models based on worldwide climate features," Renewable Energy, Elsevier, vol. 177(C), pages 700-714.
    5. Every, Jeremy P. & Li, Li & Dorrell, David G., 2020. "Köppen-Geiger climate classification adjustment of the BRL diffuse irradiation model for Australian locations," Renewable Energy, Elsevier, vol. 147(P1), pages 2453-2469.
    6. Martin Hofmann & Gunther Seckmeyer, 2017. "Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems," Energies, MDPI, vol. 10(10), pages 1-24, September.
    7. Jouttijärvi, Sami & Lobaccaro, Gabriele & Kamppinen, Aleksi & Miettunen, Kati, 2022. "Benefits of bifacial solar cells combined with low voltage power grids at high latitudes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. Martin Hofmann & Gunther Seckmeyer, 2017. "A New Model for Estimating the Diffuse Fraction of Solar Irradiance for Photovoltaic System Simulations," Energies, MDPI, vol. 10(2), pages 1-21, February.
    9. Hay, John E., 1993. "Calculating solar radiation for inclined surfaces: Practical approaches," Renewable Energy, Elsevier, vol. 3(4), pages 373-380.
    10. Khan, M. Ryyan & Hanna, Amir & Sun, Xingshu & Alam, Muhammad A., 2017. "Vertical bifacial solar farms: Physics, design, and global optimization," Applied Energy, Elsevier, vol. 206(C), pages 240-248.
    11. Christopher Pike & Erin Whitney & Michelle Wilber & Joshua S. Stein, 2021. "Field Performance of South-Facing and East-West Facing Bifacial Modules in the Arctic," Energies, MDPI, vol. 14(4), pages 1-15, February.
    12. Yang, Dazhi, 2022. "Estimating 1-min beam and diffuse irradiance from the global irradiance: A review and an extensive worldwide comparison of latest separation models at 126 stations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    13. Mattia Manni & Alessandro Nocente & Martin Bellmann & Gabriele Lobaccaro, 2023. "Multi-Stage Validation of a Solar Irradiance Model Chain: An Application at High Latitudes," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    14. Carlos Toledo & Ana Maria Gracia Amillo & Giorgio Bardizza & Jose Abad & Antonio Urbina, 2020. "Evaluation of Solar Radiation Transposition Models for Passive Energy Management and Building Integrated Photovoltaics," Energies, MDPI, vol. 13(3), pages 1-24, February.
    15. Abreu, Edgar F.M. & Canhoto, Paulo & Costa, Maria João, 2019. "Prediction of diffuse horizontal irradiance using a new climate zone model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 28-42.
    16. Starke, Allan R. & Lemos, Leonardo F.L. & Boland, John & Cardemil, José M. & Colle, Sergio, 2018. "Resolution of the cloud enhancement problem for one-minute diffuse radiation prediction," Renewable Energy, Elsevier, vol. 125(C), pages 472-484.
    17. Gueymard, Christian A., 2014. "A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1024-1034.
    18. Guo, Siyu & Walsh, Timothy Michael & Peters, Marius, 2013. "Vertically mounted bifacial photovoltaic modules: A global analysis," Energy, Elsevier, vol. 61(C), pages 447-454.
    19. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
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