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Estimating the Learning Curve of Solar PV Balance-of-Systems for Over 20 Countries

Author

Listed:
  • Amro Elshurafa
  • Shahad Albardi
  • Carlo Andrea Bollino

    (King Abdullah Petroleum Studies and Research Center)

Abstract

The capital cost of a solar photovoltaic (PV) system comprises the module and balance-of-systems (BOS). The latter refers to everything else that is needed to make the solar system functional including cables, mounts, labor, etc. While modules are priced internationally, the BOS is countryspecific. Price developments of modules, which have been thoroughly studied in literature, followed an 80 percent learning curve (LC). On the other hand, research on the LC for BOS has not been as extensive.

Suggested Citation

  • Amro Elshurafa & Shahad Albardi & Carlo Andrea Bollino, 2017. "Estimating the Learning Curve of Solar PV Balance-of-Systems for Over 20 Countries," Discussion Papers ks-2017--dp015, King Abdullah Petroleum Studies and Research Center.
    • Handle: RePEc:prc:dpaper:ks-2017--dp015
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    File URL: https://www.kapsarc.org/research/publications/estimating-the-learning-curve-of-solar-pv-balance-ofsystems-for-over-20-countries/
    File Function: First version, 2017
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    Citations

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    Cited by:

    1. Tuomo Joensuu & Markku Norvasuo & Harry Edelman, 2019. "Stakeholders’ Interests in Developing an Energy Ecosystem for the Superblock—Case Hiedanranta," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    2. Tadeusz Skoczkowski & Sławomir Bielecki & Joanna Wojtyńska, 2019. "Long-Term Projection of Renewable Energy Technology Diffusion," Energies, MDPI, vol. 12(22), pages 1-24, November.
    3. Renaldi, Renaldi & Hall, Richard & Jamasb, Tooraj & Roskilly, Anthony P., 2021. "Experience rates of low-carbon domestic heating technologies in the United Kingdom," Energy Policy, Elsevier, vol. 156(C).
    4. Dahlke, Steven & Sterling, John & Meehan, Colin, 2019. "Policy and market drivers for advancing clean energy," OSF Preprints hsbry, Center for Open Science.
    5. Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying Endogenous Learning Models in Energy System Optimization," Energies, MDPI, vol. 14(16), pages 1-21, August.
    6. Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying endogenous learning models in energy system optimization," Papers 2106.06373, arXiv.org.
    7. Amro M Elshurafa & Abdel Rahman Muhsen, 2019. "The Upper Limit of Distributed Solar PV Capacity in Riyadh: A GIS-Assisted Study," Sustainability, MDPI, vol. 11(16), pages 1-20, August.
    8. Grafström, Jonas & Poudineh, Rahmat, 2021. "A review of problems associated with learning curves for solar and wind power technologies," Ratio Working Papers 347, The Ratio Institute.
    9. Piotr Olczak & Małgorzata Olek & Dominika Matuszewska & Artur Dyczko & Tomasz Mania, 2021. "Monofacial and Bifacial Micro PV Installation as Element of Energy Transition—The Case of Poland," Energies, MDPI, vol. 14(2), pages 1-22, January.

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