IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v81y2014icp96-114.html
   My bibliography  Save this article

Learning pathways for energy supply technologies: Bridging between innovation studies and learning rates

Author

Listed:
  • Winskel, Mark
  • Markusson, Nils
  • Jeffrey, Henry
  • Candelise, Chiara
  • Dutton, Geoff
  • Howarth, Paul
  • Jablonski, Sophie
  • Kalyvas, Christos
  • Ward, David

Abstract

Understanding and supporting learning for different emerging low carbon energy supply technology fields is a key issue for policymakers, investors and researchers. A range of contrasting analytical approaches are available: energy system modelling using learning rates provides abstracted, quantitative and output oriented accounts, while innovation studies research offers contextualised, qualitative and process oriented accounts. Drawing on research literature and expert consultation on learning for several different emerging energy supply technologies, this paper introduces a ‘learning pathways’ matrix to help bridge between the rich contextualisation of innovation studies and the systematic comparability of learning rates. The learning pathways matrix characterises technology fields by their relative orientation to radical or incremental innovation, and to concentrated or distributed organisation. A number of archetypal learning pathways are outlined to help learning rates analyses draw on innovation studies research, so as to better acknowledge the different niche origins and learning dynamics of emerging energy supply technologies. Finally, a future research agenda is outlined, based on socio-technical learning scenarios for accelerated energy innovation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:tefoso:v:81:y:2014:i:c:p:96-114
    DOI: 10.1016/j.techfore.2012.10.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162512002612
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2012.10.015?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei, Yi-Ming & Qiao, Lu & Lv, Xin, 2020. "The impact of mergers and acquisitions on technology learning in the petroleum industry," Energy Economics, Elsevier, vol. 88(C).
    2. Wei, Max & Smith, Sarah J. & Sohn, Michael D., 2017. "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US," Applied Energy, Elsevier, vol. 191(C), pages 346-357.
    3. Brutschin, Elina & Fleig, Andreas, 2016. "Innovation in the energy sector – The role of fossil fuels and developing economies," Energy Policy, Elsevier, vol. 97(C), pages 27-38.
    4. Robertson Munro, Fiona & Cairney, Paul, 2020. "A systematic review of energy systems: The role of policymaking in sustainable transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    5. MacGillivray, Andrew & Jeffrey, Henry & Wallace, Robin, 2015. "The importance of iteration and deployment in technology development: A study of the impact on wave and tidal stream energy research, development and innovation," Energy Policy, Elsevier, vol. 87(C), pages 542-552.
    6. Strupeit, Lars, 2017. "An innovation system perspective on the drivers of soft cost reduction for photovoltaic deployment: The case of Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 273-286.
    7. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
    8. Egusquiza, A. & Ginestet, S. & Espada, J.C. & Flores-Abascal, I. & Garcia-Gafaro, C. & Giraldo-Soto, C. & Claude, S. & Escadeillas, G., 2021. "Co-creation of local eco-rehabilitation strategies for energy improvement of historic urban areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    9. Ioannis E. Kosmadakis & Costas Elmasides & Dimitrios Eleftheriou & Konstantinos P. Tsagarakis, 2019. "A Techno-Economic Analysis of a PV-Battery System in Greece," Energies, MDPI, vol. 12(7), pages 1-14, April.
    10. Zhang, Shuwei & Bauer, Nico & Yin, Guangzhi & Xie, Xi, 2020. "Technology learning and diffusion at the global and local scales: A modeling exercise in the REMIND model," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    11. Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    12. Versteeg, T. & Baumann, M.J. & Weil, M. & Moniz, A.B., 2017. "Exploring emerging battery technology for grid-connected energy storage with Constructive Technology Assessment," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 99-110.
    13. Xiangsheng Dou, 2017. "Low Carbon Technology Innovation, Carbon Emissions Trading and Relevant Policy Support for China s Low Carbon Economy Development," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 172-184.
    14. Tsagarakis, Konstantinos P., 2020. "Shallow geothermal energy under the microscope: Social, economic, and institutional aspects," Renewable Energy, Elsevier, vol. 147(P2), pages 2801-2808.
    15. Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    16. 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.
    17. Kobos, Peter H. & Malczynski, Leonard A. & Walker, La Tonya N. & Borns, David J. & Klise, Geoffrey T., 2018. "Timing is everything: A technology transition framework for regulatory and market readiness levels," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 211-225.
    18. Huenteler, Joern & Schmidt, Tobias S. & Ossenbrink, Jan & Hoffmann, Volker H., 2016. "Technology life-cycles in the energy sector — Technological characteristics and the role of deployment for innovation," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 102-121.
    19. Felder, F.A. & Kumar, P., 2021. "A review of existing deep decarbonization models and their potential in policymaking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    20. 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).
    21. Gao, Xue & Rai, Varun, 2023. "Knowledge acquisition and innovation quality: The moderating role of geographical characteristics of technology," Technovation, Elsevier, vol. 125(C).
    22. Hipp, Ann & Binz, Christian, 2020. "Firm survival in complex value chains and global innovation systems: Evidence from solar photovoltaics," Research Policy, Elsevier, vol. 49(1).
    23. Geels, F.W. & McMeekin, A. & Pfluger, B., 2020. "Socio-technical scenarios as a methodological tool to explore social and political feasibility in low-carbon transitions: Bridging computer models and the multi-level perspective in UK electricity gen," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    24. Castrejon-Campos, Omar & Aye, Lu & Hui, Felix Kin Peng, 2022. "Effects of learning curve models on onshore wind and solar PV cost developments in the USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    25. Vazquez, A. & Iglesias, G., 2016. "Grid parity in tidal stream energy projects: An assessment of financial, technological and economic LCOE input parameters," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 89-101.

    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:tefoso:v:81:y:2014:i:c:p:96-114. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.sciencedirect.com/science/journal/00401625 .

    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.