IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v85y2016icp1-11.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115300392
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.06.017?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. 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.
    2. 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.
    3. Ubertini, Stefano & Desideri, Umberto, 2003. "Performance estimation and experimental measurements of a photovoltaic roof," Renewable Energy, Elsevier, vol. 28(12), pages 1833-1850.
    4. 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.
    5. 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.
    6. 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.
    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. Watts, David & Valdés, Marcelo F. & Jara, Danilo & Watson, Andrea, 2015. "Potential residential PV development in Chile: The effect of Net Metering and Net Billing schemes for grid-connected PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1037-1051.
    2. Goel, Sonali & Sharma, Renu, 2017. "Performance evaluation of stand alone, grid connected and hybrid renewable energy systems for rural application: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1378-1389.
    3. 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.
    4. Conceição, Ricardo & González-Aguilar, José & Merrouni, Ahmed Alami & Romero, Manuel, 2022. "Soiling effect in solar energy conversion systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    5. Zbigniew Brodziński & Katarzyna Brodzińska & Mikołaj Szadziun, 2021. "Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland," Energies, MDPI, vol. 14(8), pages 1-17, April.
    6. Pillot, Benjamin & de Siqueira, Sandro & Dias, João Batista, 2018. "Grid parity analysis of distributed PV generation using Monte Carlo approach: The Brazilian case," Renewable Energy, Elsevier, vol. 127(C), pages 974-988.
    7. Lang, Tillmann & Gloerfeld, Erik & Girod, Bastien, 2015. "Don׳t just follow the sun – A global assessment of economic performance for residential building photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 932-951.
    8. Lu, Hao & Lu, Lin & Wang, Yuanhao, 2016. "Numerical investigation of dust pollution on a solar photovoltaic (PV) system mounted on an isolated building," Applied Energy, Elsevier, vol. 180(C), pages 27-36.
    9. Lu, Hao & Zhao, Wenjun, 2018. "Effects of particle sizes and tilt angles on dust deposition characteristics of a ground-mounted solar photovoltaic system," Applied Energy, Elsevier, vol. 220(C), pages 514-526.
    10. Schmid, Fabian & Winzer, Joscha & Pasemann, André & Behrendt, Frank, 2021. "An open-source modeling tool for multi-objective optimization of renewable nano/micro-off-grid power supply system: Influence of temporal resolution, simulation period, and location," Energy, Elsevier, vol. 219(C).
    11. 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.
    12. Sommerfeldt, Nelson & Madani, Hatef, 2017. "Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part one – Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1379-1393.
    13. Lu, Hao & Zhao, Wenjun, 2019. "CFD prediction of dust pollution and impact on an isolated ground-mounted solar photovoltaic system," Renewable Energy, Elsevier, vol. 131(C), pages 829-840.
    14. Yoo, Hyunji & Hong, Taehoon & Jeong, Kwangbok & Ji, Changyoon, 2018. "Estimation of the optimal government rebate for promoting the photovoltaic system in multi-family housing complexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 720-728.
    15. Zhang, Fan, 2014. "Can solar panels leapfrog power grids? The World Bank experience 1992–2009," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 811-820.
    16. Hammad, Bashar & Al–Abed, Mohammad & Al–Ghandoor, Ahmed & Al–Sardeah, Ali & Al–Bashir, Adnan, 2018. "Modeling and analysis of dust and temperature effects on photovoltaic systems’ performance and optimal cleaning frequency: Jordan case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2218-2234.
    17. Plain, N. & Hingray, B. & Mathy, S., 2019. "Accounting for low solar resource days to size 100% solar microgrids power systems in Africa," Renewable Energy, Elsevier, vol. 131(C), pages 448-458.
    18. Arnaud de La Tour & Matthieu Glachant & Yann Ménière, 2013. "What cost for photovoltaic modules in 2020? Lessons from experience curve models," Working Papers hal-00805668, HAL.
    19. Abolhosseini, Shahrouz & Heshmati, Almas & Altmann, Jörn, 2014. "A Review of Renewable Energy Supply and Energy Efficiency Technologies," IZA Discussion Papers 8145, Institute of Labor Economics (IZA).
    20. Nick Middleton & Utchang Kang, 2017. "Sand and Dust Storms: Impact Mitigation," Sustainability, MDPI, vol. 9(6), pages 1-22, June.

    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:85:y:2016:i:c:p:1-11. 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.