IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i6p1288-d1353016.html

CPV System Optical Performance Evaluation by Means of Direct Experimental Measurement Procedure

Author

Listed:
  • Carlo Renno

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy)

  • Fabio Petito

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy)

Abstract

The optics is the component that most affects the concentrating photovoltaic (CPV) system performance, depending above all on the concentration factor and optical efficiency. Hence, a basic aspect is the concentrated solar flux measure on the receiving area, the evaluation of which is principally realized by indirect measurement methods. First, a literature review on indirect and direct methods used for the evaluation of concentrated solar flux and optical parameters is presented in this paper. The experimental measurement procedure, which is able to evaluate the optical parameters and concentrated solar flux in CPV systems, is also presented. The main steps of this procedure are represented by experimental system setup, sensor selection for concentrated solar flux estimation, identification of all the factors affecting optical performances, and development of an experimental campaign and output analysis. In particular, the optical characterization results of a CPV system are obtained by means of in-depth experimental analysis using Triple-Junction (TJ) solar cells with areas of 5.5 × 5.5 mm 2 and 10 × 10 mm 2 . Three different setups have been analyzed related to primary and secondary optics composition. The main aim of this paper is the determination of a direct measuring technique, rarely adopted in literature in comparison to the established techniques, that is able to evaluate experimentally the optical parameter values and that can be standardized for other CPV systems. In particular, equations that link the optical concentration factor (C) and efficiency (η opt ) with focal distance (h) represent the fundamental results. They can be used for similar point-focus configurations presenting the same TJ cell size and ranges of C, η opt and h. Finally, the experimental results of the direct method are compared with those of an indirect method adopting the same CPV system and operational conditions.

Suggested Citation

  • Carlo Renno & Fabio Petito, 2024. "CPV System Optical Performance Evaluation by Means of Direct Experimental Measurement Procedure," Energies, MDPI, vol. 17(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1288-:d:1353016
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/6/1288/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/6/1288/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ballestrín, J. & Monterreal, R., 2004. "Hybrid heat flux measurement system for solar central receiver evaluation," Energy, Elsevier, vol. 29(5), pages 915-924.
    2. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Photovoltaic power stations in Germany and the United States: A comparative study by data envelopment analysis," Energy Economics, Elsevier, vol. 42(C), pages 271-288.
    3. Wang, Gang & Wang, Fasi & Shen, Fan & Jiang, Tieliu & Chen, Zeshao & Hu, Peng, 2020. "Experimental and optical performances of a solar CPV device using a linear Fresnel reflector concentrator," Renewable Energy, Elsevier, vol. 146(C), pages 2351-2361.
    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. Olawale Ogunrinde & Ekundayo Shittu, 2023. "Benchmarking performance of photovoltaic power plants in multiple periods," Environment Systems and Decisions, Springer, vol. 43(3), pages 489-503, September.
    2. Roldán, M.I. & Fernández-Reche, J. & Ballestrín, J., 2016. "Computational fluid dynamics evaluation of the operating conditions for a volumetric receiver installed in a solar tower," Energy, Elsevier, vol. 94(C), pages 844-856.
    3. Nakamoto, Yuya & Eguchi, Shogo & Takayabu, Hirotaka, 2024. "Efficiency and benchmarks for photovoltaic power generation amid uncertain conditions," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    4. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Environmental assessment on coal-fired power plants in U.S. north-east region by DEA non-radial measurement," Energy Economics, Elsevier, vol. 50(C), pages 125-139.
    5. Xiao, Gang & Guo, Kaikai & Xu, Weiping & Ni, Mingjiang & Luo, Zhongyang & Cen, Kefa, 2014. "An improved method of Lambertian CCD-camera radiation flux measurement based on SMARTS (simple model of the atmospheric radiative transfer of sunshine) to reduce spectral errors," Energy, Elsevier, vol. 67(C), pages 74-80.
    6. Xie, Xiangyu & Zhu, Peiwang & Ni, Mingjiang & Chai, Fengyuan & Li, Jiasong & Xiao, Gang, 2024. "Design, simulation and on-sun experiments of a modified sliding-bed particle solar receiver for coupling with tower concentrating system," Renewable Energy, Elsevier, vol. 235(C).
    7. Awan, Ahmed Bilal & Zubair, Muhammad & Chandra Mouli, Kotturu V.V., 2020. "Design, optimization and performance comparison of solar tower and photovoltaic power plants," Energy, Elsevier, vol. 199(C).
    8. Sueyoshi, Toshiyuki & Goto, Mika, 2017. "Measurement of returns to scale on large photovoltaic power stations in the United States and Germany," Energy Economics, Elsevier, vol. 64(C), pages 306-320.
    9. Wang, Gang & Liu, Jialin & Zou, Tianlin & Han, Wei & Chen, Zeshao, 2025. "Design and performance evaluation of a novel solar concentration PVT system with dual-runner nanofluids optical filtering," Energy, Elsevier, vol. 340(C).
    10. Nima Monghasemi & Amir Vadiee & Konstantinos Kyprianidis & Elaheh Jalilzadehazhari, 2023. "Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation," Energies, MDPI, vol. 16(21), pages 1-16, October.
    11. Sueyoshi, Toshiyuki & Wang, Derek, 2014. "Radial and non-radial approaches for environmental assessment by Data Envelopment Analysis: Corporate sustainability and effective investment for technology innovation," Energy Economics, Elsevier, vol. 45(C), pages 537-551.
    12. Diogo Cabral & Abolfazl Hayati & João Gomes & Hossein Afzali Gorouh & Pouriya Nasseriyan & Mazyar Salmanzadeh, 2023. "Experimental Electrical Assessment Evaluation of a Vertical n-PERT Half-Size Bifacial Solar Cell String Receiver on a Parabolic Trough Solar Collector," Energies, MDPI, vol. 16(4), pages 1-21, February.
    13. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    14. Nakamoto, Yuya & Eguchi, Shogo, 2024. "How do seasonal and technical factors affect generation efficiency of photovoltaic power plants?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    15. Wu, Yunna & Ke, Yiming & Zhang, Ting & Liu, Fangtong & Wang, Jing, 2018. "Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model," Energy, Elsevier, vol. 159(C), pages 599-610.
    16. Wang, Derek D. & Sueyoshi, Toshiyuki, 2017. "Assessment of large commercial rooftop photovoltaic system installations: Evidence from California," Applied Energy, Elsevier, vol. 188(C), pages 45-55.
    17. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors," Energy Economics, Elsevier, vol. 46(C), pages 295-307.
    18. Qiu, Huichong & Liu, Hui & Xia, Qi & Lin, Zihan & Chen, Chen, 2024. "A spectral splitting CPV/T hybrid system based on wave-selecting filter coated compound parabolic concentrator and linear Fresnel reflector concentrator," Renewable Energy, Elsevier, vol. 226(C).
    19. Wang, Derek & Li, Shanling & Sueyoshi, Toshiyuki, 2014. "DEA environmental assessment on U.S. Industrial sectors: Investment for improvement in operational and environmental performance to attain corporate sustainability," Energy Economics, Elsevier, vol. 45(C), pages 254-267.
    20. Mezősi, András & Szabó, László & Szabó, Sándor, 2018. "Cost-efficiency benchmarking of European renewable electricity support schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 217-226.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:y:2024:i:6:p:1288-:d:1353016. 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.