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Comparative analysis of the infield response of five types of photovoltaic modules

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  • Visa, Ion
  • Burduhos, Bogdan
  • Neagoe, Mircea
  • Moldovan, Macedon
  • Duta, Anca

Abstract

Five types of photovoltaic (PV) modules were comparatively analyzed considering the electrical output, efficiency and relative loss in efficiency, based on infield data collected in a temperate mountain climate, over 14 months. The mono-, poly-crystalline silicon, CdTe, CIS and CIGS modules were mounted on two identical platforms, installed close to a row of buildings. Based on the data collected from individual or groups of modules on the two platforms, analyses focused on the photovoltaic output, considering: the mean monthly values; the influence of the neighboring buildings; the influence of the irradiance, temperature and wind in different seasons (winter, summer); the influence of tracking on each PV module type. The qualitative analysis shows that small PV platforms installed in the built environment require accurate investigations on the air currents with influence on snow and frost retention/melting and water vapor condensation. In the temperate climate, with snowy winters and rather warm summers, the best performing modules are of poly-crystalline silicon; among thin film modules, the best output corresponds to CIGS, while the steadiest efficiency corresponds to CdTe. Tracking has a “leveling” effect on the conversion efficiency, making the PV output more predictable during days with preponderant direct solar irradiance.

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  • Visa, Ion & Burduhos, Bogdan & Neagoe, Mircea & Moldovan, Macedon & Duta, Anca, 2016. "Comparative analysis of the infield response of five types of photovoltaic modules," Renewable Energy, Elsevier, vol. 95(C), pages 178-190.
    • Handle: RePEc:eee:renene:v:95:y:2016:i:c:p:178-190
    DOI: 10.1016/j.renene.2016.04.003
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    References listed on IDEAS

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    Cited by:

    1. Haidar Islam & Saad Mekhilef & Noraisyah Binti Mohamed Shah & Tey Kok Soon & Mehdi Seyedmahmousian & Ben Horan & Alex Stojcevski, 2018. "Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems," Energies, MDPI, vol. 11(2), pages 1-24, February.
    2. Cristea, Ciprian & Cristea, Maria & Birou, Iulian & Tîrnovan, Radu-Adrian, 2020. "Economic assessment of grid-connected residential solar photovoltaic systems introduced under Romania’s new regulation," Renewable Energy, Elsevier, vol. 162(C), pages 13-29.
    3. Năstase, Gabriel & Șerban, Alexandru & Dragomir, George & Brezeanu, Alin Ionuț & Bucur, Irina, 2018. "Photovoltaic development in Romania. Reviewing what has been done," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 523-535.
    4. Macedon Moldovan & Bogdan Gabriel Burduhos & Ion Visa, 2023. "Efficiency Assessment of Five Types of Photovoltaic Modules Installed on a Fixed and on a Dual-Axis Solar-Tracked Platform," Energies, MDPI, vol. 16(3), pages 1-21, January.
    5. Yadav, Amit Kumar & Chandel, S.S., 2017. "Identification of relevant input variables for prediction of 1-minute time-step photovoltaic module power using Artificial Neural Network and Multiple Linear Regression Models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 955-969.
    6. Balaska, Amira & Tahri, Ali & Tahri, Fatima & Stambouli, Amine Boudghene, 2017. "Performance assessment of five different photovoltaic module technologies under outdoor conditions in Algeria," Renewable Energy, Elsevier, vol. 107(C), pages 53-60.
    7. Pawluk, Robert E. & Chen, Yuxiang & She, Yuntong, 2019. "Photovoltaic electricity generation loss due to snow – A literature review on influence factors, estimation, and mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 171-182.

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