IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i2p117-d64090.html
   My bibliography  Save this article

Performance Analysis of a Grid-connected High Concentrating Photovoltaic System under Practical Operation Conditions

Author

Listed:
  • Zhe Mi

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China
    These authors contributed equally to this work.)

  • Jikun Chen

    (School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
    These authors contributed equally to this work.)

  • Nuofu Chen

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China
    Yunnan Lincang Xinyuan Germanium Co. Ltd., Kunming 650503, China)

  • Yiming Bai

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China)

  • Wenwang Wu

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Rui Fu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China)

  • Hu Liu

    (Department of Mathematics and Physics, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

Abstract

High concentrating photovoltaic (HCPV) is a promising technique for the practical commercial utilization of solar energy. However, the performance of a HCPV system is significantly influenced by environmental parameters such as solar direct normal irradiance (DNI) level and environmental temperature. This paper analyzes the performance of a 9 kW p grid-connected HCPV system in Kunming (Yunnan, China), during practical field operations over an entire year, and discusses how the environmental parameters influence the performance from both the energy conversion and power inversion perspective. Large variations in the performance of the HCPV system have been observed for different months, due to the respective changes in the environmental parameters. The DNI level has been found to be a dominant parameter that mainly determines the amount of energy production as well as the performance ratio of the HCPV system. The environmental temperature and wind velocity have less influence on the system performance ratio than expected. Based on the performance of the present HCPV system, a quantified correlation between the output power and the direct normal irradiance has been derived, which provides guidelines for both the cogent application and the modeling of HCPV techniques for grid-connected power generation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:2:p:117-:d:64090
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/2/117/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/9/2/117/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Qi-Xun Zhang & Hai-Ye Yu & Qiu-Yuan Zhang & Zhong-Yuan Zhang & Cheng-Hui Shao & Di Yang, 2015. "A Solar Automatic Tracking System that Generates Power for Lighting Greenhouses," Energies, MDPI, vol. 8(7), pages 1-14, July.
    3. 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.
    4. 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.
    5. Francisco J. Gómez-Gil & Xiaoting Wang & Allen Barnett, 2012. "Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations," Energies, MDPI, vol. 5(3), pages 1-20, March.
    6. Mousazadeh, Hossein & Keyhani, Alireza & Javadi, Arzhang & Mobli, Hossein & Abrinia, Karen & Sharifi, Ahmad, 2009. "A review of principle and sun-tracking methods for maximizing solar systems output," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1800-1818, October.
    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. Khalid, Ahmad Mohd & Mitra, Indradip & Warmuth, Werner & Schacht, Volker, 2016. "Performance ratio – Crucial parameter for grid connected PV plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1139-1158.
    2. Adnan Aslam & Naseer Ahmed & Safian Ahmed Qureshi & Mohsen Assadi & Naveed Ahmed, 2022. "Advances in Solar PV Systems; A Comprehensive Review of PV Performance, Influencing Factors, and Mitigation Techniques," Energies, MDPI, vol. 15(20), pages 1-52, October.

    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. 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. 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.
    3. 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.
    4. Carlo Renno & Michele De Giacomo, 2014. "Dynamic Simulation of a CPV/T System Using the Finite Element Method," Energies, MDPI, vol. 7(11), pages 1-20, November.
    5. 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.
    6. Tibúrcio, B.D. & Liang, D. & Almeida, J. & Garcia, D. & Catela, M. & Costa, H. & Vistas, C.R., 2022. "Tracking error compensation capacity measurement of a dual-rod side-pumping solar laser," Renewable Energy, Elsevier, vol. 195(C), pages 1253-1261.
    7. Rodrigo, P.M., 2020. "Balancing the shading impact in utility-scale dual-axis tracking concentrator photovoltaic power plants," Energy, Elsevier, vol. 210(C).
    8. Renzi, M. & Egidi, L. & Comodi, G., 2015. "Performance analysis of two 3.5kWp CPV systems under real operating conditions," Applied Energy, Elsevier, vol. 160(C), pages 687-696.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Muñoz, J.V. & Nofuentes, G. & Fuentes, M. & de la Casa, J. & Aguilera, J., 2016. "DC energy yield prediction in large monocrystalline and polycrystalline PV plants: Time-domain integration of Osterwald's model," Energy, Elsevier, vol. 114(C), pages 951-960.
    14. Cabrera, F.J. & Fernández-García, A. & Silva, R.M.P. & Pérez-García, M., 2013. "Use of parabolic trough solar collectors for solar refrigeration and air-conditioning applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 103-118.
    15. Selin Kocaman, Ayse & Abad, Carlos & Troy, Tara J. & Tim Huh, Woonghee & Modi, Vijay, 2016. "A stochastic model for a macroscale hybrid renewable energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 688-703.
    16. Saim Memon & Khawaja Noman Tahir, 2018. "Experimental and Analytical Simulation Analyses on the Electrical Performance of Thermoelectric Generator Modules for Direct and Concentrated Quartz-Halogen Heat Harvesting," Energies, MDPI, vol. 11(12), pages 1-17, November.
    17. Zimmerman, Ryan & Panda, Anurag & Bulović, Vladimir, 2020. "Techno-economic assessment and deployment strategies for vertically-mounted photovoltaic panels," Applied Energy, Elsevier, vol. 276(C).
    18. Barbón, A. & Fortuny Ayuso, P. & Bayón, L. & Silva, C.A., 2023. "Experimental and numerical investigation of the influence of terrain slope on the performance of single-axis trackers," Applied Energy, Elsevier, vol. 348(C).
    19. Chin, C.S. & Babu, A. & McBride, W., 2011. "Design, modeling and testing of a standalone single axis active solar tracker using MATLAB/Simulink," Renewable Energy, Elsevier, vol. 36(11), pages 3075-3090.
    20. Rustemli, Sabir & Dincer, Furkan & Unal, Emin & Karaaslan, Muharrem & Sabah, Cumali, 2013. "The analysis on sun tracking and cooling systems for photovoltaic panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 598-603.

    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:gam:jeners:v:9:y:2016:i:2:p:117-:d:64090. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.