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Performance analysis and economic assessment of different photovoltaic technologies based on experimental measurements

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  • Bianchini, Augusto
  • Gambuti, Michele
  • Pellegrini, Marco
  • Saccani, Cesare

Abstract

The paper deals with extensive monitoring of photovoltaic technologies. It was carried out in the last 18 months at the outdoor development center HEnergia of HERA S.p.A. in Forlì (Italy). HEnergia has 8 different photovoltaic plants of small size (under 3 kWp) and they are differentiated by photovoltaic cell technologies (heterojunction with intrinsic thin layer, polycrystalline, cadmium telluride, amorphous silicon with microcrystalline silicon, silicon triple-junction cells, multi-junction Gallium Arsenide cells), by solar tracking systems (fixed installation, mono-axis or dual-axis tracker) and by optic devices (no concentration device, concentration through Fresnel lens or Cassegrain optic). Photovoltaic plants are remotely monitored and data on environmental conditions, module temperature and power production are continuously acquired and stored by a PC. Photovoltaic plant performance can thus be measured on-site and compared in relation to different environmental conditions. Moreover, the impact of maintenance activities (as for example the cleaning of photovoltaic modules) on photovoltaic plant performance is also assessed. On the basis of experimental data, the paper also shows an economic assessment of photovoltaic plants.

Suggested Citation

  • Bianchini, Augusto & Gambuti, Michele & Pellegrini, Marco & Saccani, Cesare, 2016. "Performance analysis and economic assessment of different photovoltaic technologies based on experimental measurements," Renewable Energy, Elsevier, vol. 85(C), pages 1-11.
  • Handle: RePEc:eee:renene:v:85:y:2016:i:c:p:1-11
    DOI: 10.1016/j.renene.2015.06.017
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    References listed on IDEAS

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    1. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    2. Notton, G. & Lazarov, V. & Stoyanov, L., 2010. "Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations," Renewable Energy, Elsevier, vol. 35(2), pages 541-554.
    3. Mani, Monto & Pillai, Rohit, 2010. "Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3124-3131, December.
    4. Massi Pavan, A. & Mellit, A. & De Pieri, D. & Kalogirou, S.A., 2013. "A comparison between BNN and regression polynomial methods for the evaluation of the effect of soiling in large scale photovoltaic plants," Applied Energy, Elsevier, vol. 108(C), pages 392-401.
    5. Ubertini, Stefano & Desideri, Umberto, 2003. "Performance estimation and experimental measurements of a photovoltaic roof," Renewable Energy, Elsevier, vol. 28(12), pages 1833-1850.
    6. Leloux, Jonathan & Narvarte, Luis & Trebosc, David, 2012. "Review of the performance of residential PV systems in France," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1369-1376.
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