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

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Cited by:

  1. 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).
  2. 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.
  3. 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).
  4. 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.
  5. 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.
  6. 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.
  7. 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).
  8. 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.
  9. 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.
  10. 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).
  11. 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.
  12. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
  13. 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).
  14. 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).
  15. 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.
  16. 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).
  17. Vladimir M. Matyushok & Anastasiia V. Sinelnikova & Sergey B. Matyushok & Diana Pamela Chavarry Galvez, 2024. "Carbon Capture and Storage in Hydrogen Production: World Experience and Growth of Export Opportunities of the Russian Hydrogen Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 14(1), pages 507-516, January.
  18. Gao, Xue & Rai, Varun, 2023. "Knowledge acquisition and innovation quality: The moderating role of geographical characteristics of technology," Technovation, Elsevier, vol. 125(C).
  19. 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).
  20. 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).
  21. 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.
  22. 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.
  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. Tsagarakis, Konstantinos P., 2020. "Shallow geothermal energy under the microscope: Social, economic, and institutional aspects," Renewable Energy, Elsevier, vol. 147(P2), pages 2801-2808.
  25. 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).
  26. 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.
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