IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v32y2007i15p2579-2589.html
   My bibliography  Save this article

A single procedure for helping PV designers to select silicon PV modules and evaluate the loss resistances

Author

Listed:
  • Carrero, C.
  • Amador, J.
  • Arnaltes, S.

Abstract

When a photovoltaic system is to be sized, different PV modules are considered. The optimisation of such systems is always the goal, but the choice of the PV module with best performance should also be considered. Nevertheless, selecting a module from catalogue data has certain inconveniences. First, because those data allow only comparisons with absolute magnitudes, the conclusions about which module is the most appropriate is not easy. Second, data provided in catalogues are not sufficient to know the module behaviour under conditions different from standard. This paper deals with the normalisation of the modules data by considering a base that allows for obtaining a “per unit” representation. For modelling and studying the modules under non-standard conditions it is necessary to know series and shunt resistances, but that is not easy. Then, by simulations, it is possible to show the influence of these resistances in the module behaviour.

Suggested Citation

  • Carrero, C. & Amador, J. & Arnaltes, S., 2007. "A single procedure for helping PV designers to select silicon PV modules and evaluate the loss resistances," Renewable Energy, Elsevier, vol. 32(15), pages 2579-2589.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:15:p:2579-2589
    DOI: 10.1016/j.renene.2007.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148107000109
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2007.01.001?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. Gxasheka, A.R. & van Dyk, E.E. & Meyer, E.L., 2005. "Evaluation of performance parameters of PV modules deployed outdoors," Renewable Energy, Elsevier, vol. 30(4), pages 611-620.
    2. Alonso García, M.C. & Balenzategui, J.L., 2004. "Estimation of photovoltaic module yearly temperature and performance based on Nominal Operation Cell Temperature calculations," Renewable Energy, Elsevier, vol. 29(12), pages 1997-2010.
    3. Stutenbaeumer, Ulrich & Mesfin, Belayneh, 1999. "Equivalent model of monocrystalline, polycrystalline and amorphous silicon solar cells," Renewable Energy, Elsevier, vol. 18(4), pages 501-512.
    4. van Dyk, E.E. & Meyer, E.L., 2004. "Analysis of the effect of parasitic resistances on the performance of photovoltaic modules," Renewable Energy, Elsevier, vol. 29(3), pages 333-344.
    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. Saheli, Mahdieh Arabzadeh & Lari, Kamran & Salehi, Gholamreza & Azad, Masoud Torabi, 2022. "Techno-economic assessment of a hybrid on grid PV-wave system: A case study in Caspian Sea," Renewable Energy, Elsevier, vol. 186(C), pages 596-608.
    2. Dong, Xiao-Jian & Shen, Jia-Ni & He, Guo-Xin & Ma, Zi-Feng & He, Yi-Jun, 2021. "A general radial basis function neural network assisted hybrid modeling method for photovoltaic cell operating temperature prediction," Energy, Elsevier, vol. 234(C).
    3. Tong, Nhan Thanh & Pora, Wanchalerm, 2016. "A parameter extraction technique exploiting intrinsic properties of solar cells," Applied Energy, Elsevier, vol. 176(C), pages 104-115.
    4. Dong, Xiao-Jian & Shen, Jia-Ni & Ma, Zi-Feng & He, Yi-Jun, 2022. "Simultaneous operating temperature and output power prediction method for photovoltaic modules," Energy, Elsevier, vol. 260(C).
    5. 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).
    6. Ustaoglu, Abid & Ozbey, Umut & Torlaklı, Hande, 2020. "Numerical investigation of concentrating photovoltaic/thermal (CPV/T) system using compound hyperbolic –trumpet, V-trough and compound parabolic concentrators," Renewable Energy, Elsevier, vol. 152(C), pages 1192-1208.
    7. Douglas Olivares & Pablo Ferrada & Jonathan Bijman & Sebastián Rodríguez & Mauricio Trigo-González & Aitor Marzo & Jorge Rabanal-Arabach & Joaquín Alonso-Montesinos & Francisco Javier Batlles & Edward, 2020. "Determination of the Soiling Impact on Photovoltaic Modules at the Coastal Area of the Atacama Desert," Energies, MDPI, vol. 13(15), pages 1-17, July.
    8. Chin, Vun Jack & Salam, Zainal & Ishaque, Kashif, 2015. "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, Elsevier, vol. 154(C), pages 500-519.
    9. Ma, Tao & Yang, Hongxing & Lu, Lin, 2014. "Solar photovoltaic system modeling and performance prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 304-315.
    10. Eduardo Manuel Godinho Rodrigues & Radu Godina & Mousa Marzband & Edris Pouresmaeil, 2018. "Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity," Energies, MDPI, vol. 11(11), pages 1-21, October.
    11. Ghani, F. & Rosengarten, G. & Duke, M. & Carson, J.K., 2014. "The numerical calculation of single-diode solar-cell modelling parameters," Renewable Energy, Elsevier, vol. 72(C), pages 105-112.
    12. Vincenzo Stornelli & Mirco Muttillo & Tullio de Rubeis & Iole Nardi, 2019. "A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels," Energies, MDPI, vol. 12(22), pages 1-20, November.
    13. Carrero, C. & Rodríguez, J. & Ramírez, D. & Platero, C., 2010. "Simple estimation of PV modules loss resistances for low error modelling," Renewable Energy, Elsevier, vol. 35(5), pages 1103-1108.
    14. Ayang, Albert & Wamkeue, René & Ouhrouche, Mohand & Djongyang, Noël & Essiane Salomé, Ndjakomo & Pombe, Joseph Kessel & Ekemb, Gabriel, 2019. "Maximum likelihood parameters estimation of single-diode model of photovoltaic generator," Renewable Energy, Elsevier, vol. 130(C), pages 111-121.

    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. Muhammad Adil Khan & Byeonghun Ko & Esebi Alois Nyari & S. Eugene Park & Hee-Je Kim, 2017. "Performance Evaluation of Photovoltaic Solar System with Different Cooling Methods and a Bi-Reflector PV System (BRPVS): An Experimental Study and Comparative Analysis," Energies, MDPI, vol. 10(6), pages 1-23, June.
    2. Zia R. Tahir & Ammara Kanwal & Muhammad Asim & M. Bilal & Muhammad Abdullah & Sabeena Saleem & M. A. Mujtaba & Ibham Veza & Mohamed Mousa & M. A. Kalam, 2022. "Effect of Temperature and Wind Speed on Efficiency of Five Photovoltaic Module Technologies for Different Climatic Zones," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    3. Bouraiou, Ahmed & Hamouda, Messaoud & Chaker, Abdelkader & Lachtar, Salah & Neçaibia, Ammar & Boutasseta, Nadir & Mostefaoui, Mohammed, 2017. "Experimental evaluation of the performance and degradation of single crystalline silicon photovoltaic modules in the Saharan environment," Energy, Elsevier, vol. 132(C), pages 22-30.
    4. Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2018. "An assessment of series resistance estimation techniques for different silicon based SPV modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 199-216.
    5. Fouad, M.M. & Shihata, Lamia A. & Morgan, ElSayed I., 2017. "An integrated review of factors influencing the perfomance of photovoltaic panels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1499-1511.
    6. Carrero, C. & Rodríguez, J. & Ramírez, D. & Platero, C., 2010. "Simple estimation of PV modules loss resistances for low error modelling," Renewable Energy, Elsevier, vol. 35(5), pages 1103-1108.
    7. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    8. Chatzipanagi, Anatoli & Frontini, Francesco & Virtuani, Alessandro, 2016. "BIPV-temp: A demonstrative Building Integrated Photovoltaic installation," Applied Energy, Elsevier, vol. 173(C), pages 1-12.
    9. Madeti, Siva Ramakrishna & Singh, S.N., 2017. "Online fault detection and the economic analysis of grid-connected photovoltaic systems," Energy, Elsevier, vol. 134(C), pages 121-135.
    10. Roumpakias, Elias & Zogou, Olympia & Stamatelos, Anastassios, 2015. "Correlation of actual efficiency of photovoltaic panels with air mass," Renewable Energy, Elsevier, vol. 74(C), pages 70-77.
    11. Pang, Wei & Cui, Yanan & Zhang, Qian & Wilson, Gregory.J. & Yan, Hui, 2020. "A comparative analysis on performances of flat plate photovoltaic/thermal collectors in view of operating media, structural designs, and climate conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    12. Humada, Ali M. & Hojabri, Mojgan & Mekhilef, Saad & Hamada, Hussein M., 2016. "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 494-509.
    13. Trinuruk, Piyatida & Sorapipatana, Chumnong & Chenvidhya, Dhirayut, 2009. "Estimating operating cell temperature of BIPV modules in Thailand," Renewable Energy, Elsevier, vol. 34(11), pages 2515-2523.
    14. Chandel, S.S. & Nagaraju Naik, M. & Sharma, Vikrant & Chandel, Rahul, 2015. "Degradation analysis of 28 year field exposed mono-c-Si photovoltaic modules of a direct coupled solar water pumping system in western Himalayan region of India," Renewable Energy, Elsevier, vol. 78(C), pages 193-202.
    15. Kumar, Manish & Kumar, Arun, 2017. "Performance assessment and degradation analysis of solar photovoltaic technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 554-587.
    16. Meena, Roopmati & Pareek, Arti & Gupta, Rajesh, 2024. "A comprehensive Review on interfacial delamination in photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    17. Carrero, C. & Ramirez, D. & Rodríguez, J. & Castillo-Sierra, R., 2021. "Sensitivity analysis of loss resistances variations of PV generators applied to the assessment of maximum power point changes due to degradation," Renewable Energy, Elsevier, vol. 173(C), pages 351-361.
    18. Habib Kraiem & Ezzeddine Touti & Abdulaziz Alanazi & Ahmed M. Agwa & Tarek I. Alanazi & Mohamed Jamli & Lassaad Sbita, 2023. "Parameters Identification of Photovoltaic Cell and Module Models Using Modified Social Group Optimization Algorithm," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    19. D'Orazio, M. & Di Perna, C. & Di Giuseppe, E., 2014. "Experimental operating cell temperature assessment of BIPV with different installation configurations on roofs under Mediterranean climate," Renewable Energy, Elsevier, vol. 68(C), pages 378-396.
    20. Ghani, F. & Rosengarten, G. & Duke, M. & Carson, J.K., 2014. "The numerical calculation of single-diode solar-cell modelling parameters," Renewable Energy, Elsevier, vol. 72(C), pages 105-112.

    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:32:y:2007:i:15:p:2579-2589. 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/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.