IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v87y2015icp77-85.html
   My bibliography  Save this article

Model for estimating the energy yield of a high concentrator photovoltaic system

Author

Listed:
  • Fernández, Eduardo F.
  • Pérez-Higueras, P.
  • Almonacid, F.
  • Ruiz-Arias, J.A.
  • Rodrigo, P.
  • Fernandez, J.I.
  • Luque-Heredia, I.

Abstract

The prediction of the energy yield of HCPV (high concentrator photovoltaic) systems is crucial to evaluate the potential and promote the market expansion of HCPV technology. Currently, there is a lack of experience in the modelling of these kinds of systems due to the special features of such technology. In this work, a practical model based on simple mathematical expressions and atmospheric parameters is introduced. The proposed model takes into account the main important parameters which influence the output of a HCPV system such as cell temperature, spectrum and efficiency of the inverter and other losses of the BOS (balance of system). The results obtained are validated using the data of a HCPV installation located at the University of Jaen in southern Spain and monitored daily every minute since 2011. The model accurately predicts the monthly energy yield with a deviation ranging from 4.07% to −0.47% and the annual final energy yield with a deviation of 0.9%.

Suggested Citation

  • Fernández, Eduardo F. & Pérez-Higueras, P. & Almonacid, F. & Ruiz-Arias, J.A. & Rodrigo, P. & Fernandez, J.I. & Luque-Heredia, I., 2015. "Model for estimating the energy yield of a high concentrator photovoltaic system," Energy, Elsevier, vol. 87(C), pages 77-85.
    • Handle: RePEc:eee:energy:v:87:y:2015:i:c:p:77-85
    DOI: 10.1016/j.energy.2015.04.095
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215005629
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.04.095?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. Leloux, Jonathan & Lorenzo, Eduardo & García-Domingo, Beatriz & Aguilera, Jorge & Gueymard, Christian A., 2014. "A bankable method of assessing the performance of a CPV plant," Applied Energy, Elsevier, vol. 118(C), pages 1-11.
    2. Nishimura, A. & Hayashi, Y. & Tanaka, K. & Hirota, M. & Kato, S. & Ito, M. & Araki, K. & Hu, E.J., 2010. "Life cycle assessment and evaluation of energy payback time on high-concentration photovoltaic power generation system," Applied Energy, Elsevier, vol. 87(9), pages 2797-2807, September.
    3. Pérez-Higueras, P. & Muñoz, E. & Almonacid, G. & Vidal, P.G., 2011. "High Concentrator PhotoVoltaics efficiencies: Present status and forecast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1810-1815, May.
    4. Muñoz, E. & Vidal, P.G. & Nofuentes, G. & Hontoria, L. & Pérez-Higueras, P. & Terrados, J. & Almonacid, G. & Aguilera, J., 2010. "CPV standardization: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 518-523, January.
    5. Rodrigo, P. & Fernández, E.F. & Almonacid, F. & Pérez-Higueras, P.J., 2014. "Review of methods for the calculation of cell temperature in high concentration photovoltaic modules for electrical characterization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 478-488.
    6. Xie, W.T. & Dai, Y.J. & Wang, R.Z. & Sumathy, K., 2011. "Concentrated solar energy applications using Fresnel lenses: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2588-2606, August.
    7. Zubi, Ghassan & Bernal-Agustín, José L. & Fracastoro, Gian Vincenzo, 2009. "High concentration photovoltaic systems applying III-V cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2645-2652, December.
    8. Rodrigo, P. & Fernández, E.F. & Almonacid, F. & Pérez-Higueras, P.J., 2013. "Models for the electrical characterization of high concentration photovoltaic cells and modules: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 752-760.
    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. Fernández, Eduardo F. & Talavera, D.L. & Almonacid, Florencia M. & Smestad, Greg P., 2016. "Investigating the impact of weather variables on the energy yield and cost of energy of grid-connected solar concentrator systems," Energy, Elsevier, vol. 106(C), pages 790-801.
    2. Renno, C. & Perone, A., 2021. "Experimental modeling of the optical and energy performances of a point-focus CPV system applied to a residential user," Energy, Elsevier, vol. 215(PA).
    3. Almonacid, Florencia & Rodrigo, Pedro & Fernández, Eduardo F., 2016. "Determination of the current–voltage characteristics of concentrator systems by using different adapted conventional techniques," Energy, Elsevier, vol. 101(C), pages 146-160.
    4. Zhe Mi & Jikun Chen & Nuofu Chen & Yiming Bai & Wenwang Wu & Rui Fu & Hu Liu, 2016. "Performance Analysis of a Grid-connected High Concentrating Photovoltaic System under Practical Operation Conditions," Energies, MDPI, vol. 9(2), pages 1-12, February.
    5. Rahimat O. Yakubu & Maame T. Ankoh & Lena D. Mensah & David A. Quansah & Muyiwa S. Adaramola, 2022. "Predicting the Potential Energy Yield of Bifacial Solar PV Systems in Low-Latitude Region," Energies, MDPI, vol. 15(22), pages 1-17, November.
    6. Almonacid, Florencia & Fernandez, Eduardo F. & Mellit, Adel & Kalogirou, Soteris, 2017. "Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 938-953.
    7. Talavera, D.L. & Pérez-Higueras, P. & Almonacid, F. & Fernández, E.F., 2017. "A worldwide assessment of economic feasibility of HCPV power plants: Profitability and competitiveness," Energy, Elsevier, vol. 119(C), pages 408-424.
    8. Rodrigo, P.M., 2020. "Balancing the shading impact in utility-scale dual-axis tracking concentrator photovoltaic power plants," Energy, Elsevier, vol. 210(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. Almonacid, Florencia & Fernandez, Eduardo F. & Mellit, Adel & Kalogirou, Soteris, 2017. "Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 938-953.
    2. Almonacid, F. & Fernández, E.F. & Mallick, T.K. & Pérez-Higueras, P.J., 2015. "High concentrator photovoltaic module simulation by neuronal networks using spectrally corrected direct normal irradiance and cell temperature," Energy, Elsevier, vol. 84(C), pages 336-343.
    3. Fernández, Eduardo F. & Talavera, D.L. & Almonacid, Florencia M. & Smestad, Greg P., 2016. "Investigating the impact of weather variables on the energy yield and cost of energy of grid-connected solar concentrator systems," Energy, Elsevier, vol. 106(C), pages 790-801.
    4. Fernández, Eduardo F. & Almonacid, Florencia & Soria-Moya, Alberto & Terrados, Julio, 2015. "Experimental analysis of the spectral factor for quantifying the spectral influence on concentrator photovoltaic systems under real operating conditions," Energy, Elsevier, vol. 90(P2), pages 1878-1886.
    5. Fernández, Eduardo F. & Almonacid, Florencia, 2014. "Spectrally corrected direct normal irradiance based on artificial neural networks for high concentrator photovoltaic applications," Energy, Elsevier, vol. 74(C), pages 941-949.
    6. Rodrigo, P. & Fernández, E.F. & Almonacid, F. & Pérez-Higueras, P.J., 2014. "Review of methods for the calculation of cell temperature in high concentration photovoltaic modules for electrical characterization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 478-488.
    7. Rodrigo, P. & Velázquez, Ramiro & Fernández, Eduardo F. & Almonacid, F. & Pérez-Higueras, P.J., 2016. "Analysis of electrical mismatches in high-concentrator photovoltaic power plants with distributed inverter configurations," Energy, Elsevier, vol. 107(C), pages 374-387.
    8. Almonacid, Florencia & Rodrigo, Pedro & Fernández, Eduardo F., 2016. "Determination of the current–voltage characteristics of concentrator systems by using different adapted conventional techniques," Energy, Elsevier, vol. 101(C), pages 146-160.
    9. Rodrigo, P. & Gutiérrez, S. & Velázquez, Ramiro & Fernández, Eduardo F. & Almonacid, F. & Pérez-Higueras, P.J., 2015. "A methodology for the electrical characterization of shaded high concentrator photovoltaic modules," Energy, Elsevier, vol. 89(C), pages 768-777.
    10. Li, Guiqiang & Xuan, Qingdong & Pei, Gang & Su, Yuehong & Ji, Jie, 2018. "Effect of non-uniform illumination and temperature distribution on concentrating solar cell - A review," Energy, Elsevier, vol. 144(C), pages 1119-1136.
    11. Rodrigo, Pedro M. & Velázquez, Ramiro & Fernández, Eduardo F. & Almonacid, Florencia M. & Lay-Ekuakille, Aimé, 2018. "A method for the outdoor thermal characterisation of high-concentrator photovoltaic modules alternative to the IEC 62670-3 standard," Energy, Elsevier, vol. 148(C), pages 159-168.
    12. Sharaf, Omar Z. & Orhan, Mehmet F., 2015. "Concentrated photovoltaic thermal (CPVT) solar collector systems: Part I – Fundamentals, design considerations and current technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1500-1565.
    13. Talavera, D.L. & Pérez-Higueras, P. & Ruíz-Arias, J.A. & Fernández, E.F., 2015. "Levelised cost of electricity in high concentrated photovoltaic grid connected systems: Spatial analysis of Spain," Applied Energy, Elsevier, vol. 151(C), pages 49-59.
    14. 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.
    15. Edgar, Ross & Cochard, Steve & Stachurski, Zbigniew, 2015. "Double-layer orthogonal-offset photovoltaic platforms," Applied Energy, Elsevier, vol. 147(C), pages 478-485.
    16. Hasan, Ahmed & Sarwar, Jawad & Shah, Ali Hasan, 2018. "Concentrated photovoltaic: A review of thermal aspects, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 835-852.
    17. Rodrigo, P.M. & Talavera, D.L. & Fernández, E.F. & Almonacid, F.M. & Pérez-Higueras, P.J., 2019. "Optimum capacity of the inverters in concentrator photovoltaic power plants with emphasis on shading impact," Energy, Elsevier, vol. 187(C).
    18. Swart, Pilar & Dewulf, Jo & Van Langenhove, Herman & Moonens, Koen & Dessein, Kristof & Quaeyhaegens, Carl, 2011. "Assessment of the overall resource consumption of germanium wafer production for high concentration photovoltaics," Resources, Conservation & Recycling, Elsevier, vol. 55(12), pages 1119-1128.
    19. Manuel Angel Gadeo-Martos & Antonio Jesús Yuste-Delgado & Florencia Almonacid Cruz & Jose-Angel Fernandez-Prieto & Joaquin Canada-Bago, 2019. "Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems," Energies, MDPI, vol. 12(3), pages 1-22, February.
    20. Baig, Hasan & Heasman, Keith C. & Mallick, Tapas K., 2012. "Non-uniform illumination in concentrating solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5890-5909.

    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:energy:v:87:y:2015:i:c:p:77-85. 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.journals.elsevier.com/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.