IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v80y2015icp316-323.html
   My bibliography  Save this article

Validation of the Sandia model with indoor and outdoor measurements for semi-transparent amorphous silicon PV modules

Author

Listed:
  • Peng, Jinqing
  • Lu, Lin
  • Yang, Hongxing
  • Ma, Tao

Abstract

This paper presents a set of indoor and outdoor measurement methods and procedures to determine the empirical coefficients of the Sandia Array Performance Model (SAPM) for a semi-transparent amorphous silicon (a-Si) PV module. After determining and inputting the total 39 parameters into the SAPM, the dynamic power output of the a-Si PV module was predicted. In order to validate the accuracy of using SAPM for simulating the energy output of the a-Si PV module, a long-term outdoor testing campaign was conducted. The results indicated that the SAPM with indoor and outdoor measured coefficients could accurately simulate the energy output of the a-Si PV module on sunny days, but it didn't work well on overcast days due to the inappropriate spectral correction as well as the equipment measuring error caused by the intense fluctuation of solar irradiance on overcast days. Specifically, all the errors between the simulated daily energy output and the measured one were less than 4% on sunny days. In order to achieve a better prediction performance for a-Si PV technologies, the SAPM was suggested to incorporate a more comprehensive spectral correction function to correct the impact of solar spectrum on overcast days in future.

Suggested Citation

  • Peng, Jinqing & Lu, Lin & Yang, Hongxing & Ma, Tao, 2015. "Validation of the Sandia model with indoor and outdoor measurements for semi-transparent amorphous silicon PV modules," Renewable Energy, Elsevier, vol. 80(C), pages 316-323.
    • Handle: RePEc:eee:renene:v:80:y:2015:i:c:p:316-323
    DOI: 10.1016/j.renene.2015.02.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811500107X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.02.017?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.

    Citations

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


    Cited by:

    1. Abdelhakim Mesloub & Ghazy Abdullah Albaqawy & Mohd Zin Kandar, 2020. "The Optimum Performance of Building Integrated Photovoltaic (BIPV) Windows Under a Semi-Arid Climate in Algerian Office Buildings," Sustainability, MDPI, vol. 12(4), pages 1-38, February.
    2. Sun, Yanyi & Shanks, Katie & Baig, Hasan & Zhang, Wei & Hao, Xia & Li, Yongxue & He, Bo & Wilson, Robin & Liu, Hao & Sundaram, Senthilarasu & Zhang, Jingquan & Xie, Lingzhi & Mallick, Tapas & Wu, Yupe, 2018. "Integrated semi-transparent cadmium telluride photovoltaic glazing into windows: Energy and daylight performance for different architecture designs," Applied Energy, Elsevier, vol. 231(C), pages 972-984.
    3. Cheng, Yuanda & Gao, Min & Dong, Jiankai & Jia, Jie & Zhao, Xudong & Li, Guiqiang, 2018. "Investigation on the daylight and overall energy performance of semi-transparent photovoltaic facades in cold climatic regions of China," Applied Energy, Elsevier, vol. 232(C), pages 517-526.
    4. Wang, Meng & Peng, Jinqing & Luo, Yimo & Shen, Zhicheng & Yang, Hongxing, 2021. "Comparison of different simplistic prediction models for forecasting PV power output: Assessment with experimental measurements," Energy, Elsevier, vol. 224(C).
    5. Wang, Chuyao & Yang, Hongxing & Ji, Jie, 2023. "Investigation on overall energy performance of a novel multi-functional PV/T window," Applied Energy, Elsevier, vol. 352(C).
    6. Zhang, Tiantian & Tan, Yufei & Yang, Hongxing & Zhang, Xuedan, 2016. "The application of air layers in building envelopes: A review," Applied Energy, Elsevier, vol. 165(C), pages 707-734.
    7. Mathews, Duncan & Ó Gallachóir, Brian & Deane, Paul, 2023. "Systematic bias in reanalysis-derived solar power profiles & the potential for error propagation in long duration energy storage studies," Applied Energy, Elsevier, vol. 336(C).
    8. Chen, Mo & Zhang, Wei & Xie, Lingzhi & Ni, Zhichun & Wei, Qingzhu & Wang, Wei & Tian, Hao, 2019. "Experimental and numerical evaluation of the crystalline silicon PV window under the climatic conditions in southwest China," Energy, Elsevier, vol. 183(C), pages 584-598.
    9. Joaquim Romaní & Alba Ramos & Jaume Salom, 2022. "Review of Transparent and Semi-Transparent Building-Integrated Photovoltaics for Fenestration Application Modeling in Building Simulations," Energies, MDPI, vol. 15(9), pages 1-30, April.
    10. Wang, Meng & Peng, Jinqing & Li, Nianping & Lu, Lin & Ma, Tao & Yang, Hongxing, 2016. "Assessment of energy performance of semi-transparent PV insulating glass units using a validated simulation model," Energy, Elsevier, vol. 112(C), pages 538-548.
    11. Balaska, Amira & Tahri, Ali & Tahri, Fatima & Stambouli, Amine Boudghene, 2017. "Performance assessment of five different photovoltaic module technologies under outdoor conditions in Algeria," Renewable Energy, Elsevier, vol. 107(C), pages 53-60.
    12. Li, Zihao & Zhang, Wei & He, Bo & Xie, Lingzhi & Chen, Mo & Li, Jianhui & Zhao, Oufan & Wu, Xin, 2022. "A comprehensive life cycle assessment study of innovative bifacial photovoltaic applied on building," Energy, Elsevier, vol. 245(C).
    13. Zhang, Weilong & Lu, Lin & Peng, Jinqing, 2017. "Evaluation of potential benefits of solar photovoltaic shadings in Hong Kong," Energy, Elsevier, vol. 137(C), pages 1152-1158.
    14. Peng, Jinqing & Curcija, Dragan C. & Lu, Lin & Selkowitz, Stephen E. & Yang, Hongxing & Zhang, Weilong, 2016. "Numerical investigation of the energy saving potential of a semi-transparent photovoltaic double-skin facade in a cool-summer Mediterranean climate," Applied Energy, Elsevier, vol. 165(C), pages 345-356.
    15. Wang, Meng & Peng, Jinqing & Li, Nianping & Yang, Hongxing & Wang, Chunlei & Li, Xue & Lu, Tao, 2017. "Comparison of energy performance between PV double skin facades and PV insulating glass units," Applied Energy, Elsevier, vol. 194(C), pages 148-160.
    16. Cheng, Yuanda & Gao, Min & Jia, Jie & Sun, Yanyi & Fan, Yi & Yu, Min, 2019. "An optimal and comparison study on daylight and overall energy performance of double-glazed photovoltaics windows in cold region of China," Energy, Elsevier, vol. 170(C), pages 356-366.
    17. Zhang, Wei & Zhao, Oufan & Xie, Lingzhi & Li, Zihao & Wu, Xin & Zhong, Jianmei & Zeng, Xiding & Zou, Ruiwen, 2023. "Factors influence analysis and life cycle assessment of innovative bifacial photovoltaic applied on building facade," Energy, Elsevier, vol. 279(C).
    18. Peng, Jinqing & Curcija, Dragan C. & Thanachareonkit, Anothai & Lee, Eleanor S. & Goudey, Howdy & Selkowitz, Stephen E., 2019. "Study on the overall energy performance of a novel c-Si based semitransparent solar photovoltaic window," Applied Energy, Elsevier, vol. 242(C), pages 854-872.
    19. Polo, J. & Fernandez-Neira, W.G. & Alonso-García, M.C., 2017. "On the use of reference modules as irradiance sensor for monitoring and modelling rooftop PV systems," Renewable Energy, Elsevier, vol. 106(C), pages 186-191.
    20. Kichou, Sofiane & Silvestre, Santiago & Guglielminotti, Letizia & Mora-López, Llanos & Muñoz-Cerón, Emilio, 2016. "Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification," Renewable Energy, Elsevier, vol. 99(C), pages 270-279.
    21. Salim Bouchakour & Daniel Valencia-Caballero & Alvaro Luna & Eduardo Roman & El Amin Kouadri Boudjelthia & Pedro Rodríguez, 2021. "Modelling and Simulation of Bifacial PV Production Using Monofacial Electrical Models," Energies, MDPI, vol. 14(14), pages 1-16, July.
    22. Sun, Yanyi & Wilson, Robin & Wu, Yupeng, 2018. "A Review of Transparent Insulation Material (TIM) for building energy saving and daylight comfort," Applied Energy, Elsevier, vol. 226(C), pages 713-729.
    23. Yadav, Amit Kumar & Chandel, S.S., 2017. "Identification of relevant input variables for prediction of 1-minute time-step photovoltaic module power using Artificial Neural Network and Multiple Linear Regression Models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 955-969.
    24. Ma, Chao & Wu, Runze & Liu, Zhao & Li, Xinyang, 2024. "Performance assessment of different photovoltaic module technologies in floating photovoltaic power plants under waters environment," Renewable Energy, Elsevier, vol. 222(C).
    25. Peng, Jinqing & Lu, Lin & Wang, Meng, 2019. "A new model to evaluate solar spectrum impacts on the short circuit current of solar photovoltaic modules," Energy, Elsevier, vol. 169(C), pages 29-37.

    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:renene:v:80:y:2015:i:c:p:316-323. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.journals.elsevier.com/renewable-energy .

    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.