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Implementing Radical Innovation in Renewable Energy Experience Curves

Author

Listed:
  • Paul Kerr

    (Institute for Energy Systems, School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK)

  • Donald R. Noble

    (Institute for Energy Systems, School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK)

  • Jonathan Hodges

    (Wave Energy Scotland, An Lochran, 10 Inverness Campus, Inverness IV2 5NA, UK)

  • Henry Jeffrey

    (Institute for Energy Systems, School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK)

Abstract

Cost reductions in nascent forms of Renewable Energy Technology (RET) are essential for them to contribute to the energy mix. Policy intervention can facilitate this cost reduction; however, this may require a significant investment from the public sector. These cost reductions fall into two broad categories: (1) incremental cost reductions through continual improvements to existing technologies, and (2) radical innovation where technologies that significantly differ from the incumbents are developed. This study presents a modelling methodology to integrate radical innovation in RET experience curve and learning investment analysis, using wave energy as an example nascent RET. This aims to quantify the potential effects of radical innovation on the learning investment, allowing the value of successful innovation to be better analysed. The study highlights the value offered by radical innovations in long-term deployment scenarios for wave energy. This suggests that high-risk R&D efforts in nascent RET sectors, even with low success rates, could still present significant expected value in offsetting future revenue support.

Suggested Citation

  • Paul Kerr & Donald R. Noble & Jonathan Hodges & Henry Jeffrey, 2021. "Implementing Radical Innovation in Renewable Energy Experience Curves," Energies, MDPI, vol. 14(9), pages 1-28, April.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2364-:d:540835
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    References listed on IDEAS

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    1. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Co-located wave-wind farms: Economic assessment as a function of layout," Renewable Energy, Elsevier, vol. 83(C), pages 837-849.
    2. Laleman, Ruben & Albrecht, Johan, 2014. "Comparing push and pull measures for PV and wind in Europe," Renewable Energy, Elsevier, vol. 61(C), pages 33-37.
    3. Gross, Robert & Hanna, Richard & Gambhir, Ajay & Heptonstall, Philip & Speirs, Jamie, 2018. "How long does innovation and commercialisation in the energy sectors take? Historical case studies of the timescale from invention to widespread commercialisation in energy supply and end use technolo," Energy Policy, Elsevier, vol. 123(C), pages 682-699.
    4. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
    5. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    6. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    7. Smit, Thijs & Junginger, Martin & Smits, Ruud, 2007. "Technological learning in offshore wind energy: Different roles of the government," Energy Policy, Elsevier, vol. 35(12), pages 6431-6444, December.
    8. Andersson, Johnn & Perez Vico, Eugenia & Hammar, Linus & Sandén, Björn A., 2017. "The critical role of informed political direction for advancing technology: The case of Swedish marine energy," Energy Policy, Elsevier, vol. 101(C), pages 52-64.
    9. Robert W. Fri, 2003. "The Role of Knowledge: Technological Innovation in the Energy System," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 51-74.
    10. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2005. "A tale of two market failures: Technology and environmental policy," Ecological Economics, Elsevier, vol. 54(2-3), pages 164-174, August.
    11. Steffen, Bjarne, 2020. "Estimating the cost of capital for renewable energy projects," Energy Economics, Elsevier, vol. 88(C).
    12. Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 51-72.
    13. Winskel, Mark & Markusson, Nils & Jeffrey, Henry & Candelise, Chiara & Dutton, Geoff & Howarth, Paul & Jablonski, Sophie & Kalyvas, Christos & Ward, David, 2014. "Learning pathways for energy supply technologies: Bridging between innovation studies and learning rates," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 96-114.
    14. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    15. Shayegh, Soheil & Sanchez, Daniel L. & Caldeira, Ken, 2017. "Evaluating relative benefits of different types of R&D for clean energy technologies," Energy Policy, Elsevier, vol. 107(C), pages 532-538.
    16. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    17. Albrecht, Johan & Laleman, Ruben & Vulsteke, Elien, 2015. "Balancing demand-pull and supply-push measures to support renewable electricity in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 267-277.
    18. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    19. Martinsen, Thomas, 2011. "Technology learning in a small open economy--The systems, modelling and exploiting the learning effect," Energy Policy, Elsevier, vol. 39(5), pages 2361-2372, May.
    20. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
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    Cited by:

    1. Naimeh Mohammadi & Hamid Mostofi & Hans-Liudger Dienel, 2023. "Policy Chain of Energy Transition from Economic and Innovative Perspectives: Conceptual Framework and Consistency Analysis," Sustainability, MDPI, vol. 15(17), pages 1-27, August.
    2. Ireneusz Górowski & Bartosz Kurek & Marek Szarucki, 2022. "The Impact of a New Accounting Standard on Assets, Liabilities and Leverage of Companies: Evidence from Energy Industry," Energies, MDPI, vol. 15(4), pages 1-15, February.
    3. Santhakumar, Srinivasan & Smart, Gavin & Noonan, Miriam & Meerman, Hans & Faaij, André, 2022. "Technological progress observed for fixed-bottom offshore wind in the EU and UK," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    4. Bożena Gajdzik & Radosław Wolniak & Wies Grebski, 2023. "Process of Transformation to Net Zero Steelmaking: Decarbonisation Scenarios Based on the Analysis of the Polish Steel Industry," Energies, MDPI, vol. 16(8), pages 1-36, April.
    5. Inès Tunga & Anna Garcia-Teruel & Donald R. Noble & Jillian Henderson, 2021. "Addressing European Ocean Energy Challenge: The DTOceanPlus Structured Innovation Tool for Concept Creation and Selection," Energies, MDPI, vol. 14(18), pages 1-23, September.
    6. Mateusz Trzeciak & Izabela Jonek-Kowalska, 2021. "Monitoring and Control in Program Management as Effectiveness Drivers in Polish Energy Sector. Diagnosis and Directions of Improvement," Energies, MDPI, vol. 14(15), pages 1-25, July.
    7. Garcia-Teruel, Anna & Roberts, Owain & Noble, Donald R. & Henderson, Jillian Catherine & Jeffrey, Henry, 2022. "Design limits for wave energy converters based on the relationship of power and volume obtained through multi-objective optimisation," Renewable Energy, Elsevier, vol. 200(C), pages 492-504.

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