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Factors influencing the efficiency of photovoltaic system

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  • Venkateswari, R.
  • Sreejith, S.

Abstract

Long-time search for green energy as a replacement of the depleting conventional sources to the eternal power demand still remains as an unanswered question. But the steady growth in the contribution of solar energy towards the electrical power generation for the past three decades have persuaded many researchers to consider it as a viable option. However, the power harnessed from solar PV is low due to its less conversion efficiency. Therefore, it is necessary to perform some critical analysis on the factors improving the efficiency of the solar PV system. In this paper, an attempt is made in performing a detailed comprehensive review on the factors affecting the efficiency of solar cell. A detailed review is carried out on basic material used for solar cells, Maximum Power Point Tracking (MPPT) Techniques and the DC-DC converters used for power conversion.

Suggested Citation

  • Venkateswari, R. & Sreejith, S., 2019. "Factors influencing the efficiency of photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 376-394.
    • Handle: RePEc:eee:rensus:v:101:y:2019:i:c:p:376-394
    DOI: 10.1016/j.rser.2018.11.012
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    1. Kumavat, Priyanka P. & Sonar, Prashant & Dalal, Dipak S., 2017. "An overview on basics of organic and dye sensitized solar cells, their mechanism and recent improvements," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1262-1287.
    2. Hashmi, Ghufran & Miettunen, Kati & Peltola, Timo & Halme, Janne & Asghar, Imran & Aitola, Kerttu & Toivola, Minna & Lund, Peter, 2011. "Review of materials and manufacturing options for large area flexible dye solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3717-3732.
    3. Feltrin, Andrea & Freundlich, Alex, 2008. "Material considerations for terawatt level deployment of photovoltaics," Renewable Energy, Elsevier, vol. 33(2), pages 180-185.
    4. Bastidas-Rodriguez, J.D. & Petrone, G. & Ramos-Paja, C.A. & Spagnuolo, G., 2017. "A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 38-54.
    5. Sabzali, Ahmad J. & Ismail, Esam H. & Behbehani, Hussain M., 2015. "High voltage step-up integrated double Boost–Sepic DC–DC converter for fuel-cell and photovoltaic applications," Renewable Energy, Elsevier, vol. 82(C), pages 44-53.
    6. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
    7. Al-Saffar, Mustafa A. & Ismail, Esam H. & Sabzali, Ahmad J., 2013. "Family of ZC-ZVS converters with wide voltage range for renewable energy systems," Renewable Energy, Elsevier, vol. 56(C), pages 32-43.
    8. G, Dileep. & Singh, S.N., 2017. "Selection of non-isolated DC-DC converters for solar photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1230-1247.
    9. Mehmood, Umer & Al-Ahmed, Amir & Afzaal, Mohammad & Al-Sulaiman, Fahad A. & Daud, Muhammad, 2017. "Recent progress and remaining challenges in organometallic halides based perovskite solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1-14.
    10. Rizzo, Santi Agatino & Scelba, Giacomo, 2015. "ANN based MPPT method for rapidly variable shading conditions," Applied Energy, Elsevier, vol. 145(C), pages 124-132.
    11. Kandemir, Ekrem & Cetin, Numan S. & Borekci, Selim, 2017. "A comprehensive overview of maximum power extraction methods for PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 93-112.
    12. Abdalla, I. & Corda, J. & Zhang, L., 2016. "Optimal control of a multilevel DC-link converter photovoltaic system for maximum power generation," Renewable Energy, Elsevier, vol. 92(C), pages 1-11.
    13. Abu Eldahab, Yasser E. & Saad, Naggar H. & Zekry, Abdalhalim, 2017. "Enhancing the tracking techniques for the global maximum power point under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1173-1183.
    14. Kota, Venkata Reddy & Bhukya, Muralidhar Nayak, 2017. "A novel linear tangents based P&O scheme for MPPT of a PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 257-267.
    15. Mohapatra, Alivarani & Nayak, Byamakesh & Das, Priti & Mohanty, Kanungo Barada, 2017. "A review on MPPT techniques of PV system under partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 854-867.
    16. Ram, J.Prasanth & Rajasekar, N. & Miyatake, Masafumi, 2017. "Design and overview of maximum power point tracking techniques in wind and solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1138-1159.
    17. Harrag, Abdelghani & Messalti, Sabir, 2015. "Variable step size modified P&O MPPT algorithm using GA-based hybrid offline/online PID controller," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1247-1260.
    18. Valer, L. Roberto & Manito, Alex. R.A. & Ribeiro, Tina B. Selles & Zilles, Roberto & Pinho, João T., 2017. "Issues in PV systems applied to rural electrification in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1033-1043.
    19. Ubani, C.A. & Ibrahim, M.A. & Teridi, M.A.M., 2017. "Moving into the domain of perovskite sensitized solar cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 907-915.
    20. Bendib, Boualem & Belmili, Hocine & Krim, Fateh, 2015. "A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 637-648.
    21. Asim, Nilofar & Sopian, Kamaruzzaman & Ahmadi, Shideh & Saeedfar, Kasra & Alghoul, M.A. & Saadatian, Omidreza & Zaidi, Saleem H., 2012. "A review on the role of materials science in solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5834-5847.
    22. Lee, Taesoo D. & Ebong, Abasifreke U., 2017. "A review of thin film solar cell technologies and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1286-1297.
    23. Sivakumar, P. & Abdul Kader, Abdullah & Kaliavaradhan, Yogeshraj & Arutchelvi, M., 2015. "Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions," Renewable Energy, Elsevier, vol. 81(C), pages 543-550.
    24. Seyedmahmoudian, M. & Horan, B. & Soon, T. Kok & Rahmani, R. & Than Oo, A. Muang & Mekhilef, S. & Stojcevski, A., 2016. "State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 435-455.
    25. Verma, Deepak & Nema, Savita & Shandilya, A.M. & Dash, Soubhagya K., 2016. "Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1018-1034.
    26. Saravanan, S. & Ramesh Babu, N., 2017. "Analysis and implementation of high step-up DC-DC converter for PV based grid application," Applied Energy, Elsevier, vol. 190(C), pages 64-72.
    27. Boumaaraf, Houria & Talha, Abdelaziz & Bouhali, Omar, 2015. "A three-phase NPC grid-connected inverter for photovoltaic applications using neural network MPPT," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1171-1179.
    28. Chandrasekaran, J. & Nithyaprakash, D. & Ajjan, K.B. & Maruthamuthu, S. & Manoharan, D. & Kumar, S., 2011. "Hybrid solar cell based on blending of organic and inorganic materials--An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1228-1238, February.
    29. Belhachat, Faiza & Larbes, Cherif, 2017. "Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 875-889.
    30. Eltawil, Mohamed A. & Zhao, Zhengming, 2013. "MPPT techniques for photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 793-813.
    31. Ahmed, Jubaer & Salam, Zainal, 2014. "A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability," Applied Energy, Elsevier, vol. 119(C), pages 118-130.
    32. Karami, Nabil & Moubayed, Nazih & Outbib, Rachid, 2017. "General review and classification of different MPPT Techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 1-18.
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