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Future Costs of Key Low-Carbon Energy Technologies: Harmonization and Aggregation of Energy Technology Expert Elicitation Data

Author

Listed:
  • Baker, Erin
  • Bosetti, Valentina
  • Diaz Anadon, Laura
  • Henrion, Max
  • Aleluia Reis, Lara

Abstract

In this paper we standardize, compare, and aggregate results from thirteen surveys of technology experts, performed over a period of five years using a range of different methodologies, but all aiming at eliciting expert judgment on the future cost of five key energy technologies and how future costs might be influenced by public R&D investments. To enable researchers and policy makers to use the wealth of collective knowledge obtained through these expert elicitations we develop and present a set of assumptions to harmonize them. We also aggregate expert estimates within each study and across studies to facilitate the comparison. The analysis showed that, as expected, technology costs are expected to go down by 2030 with increasing levels of R&D investments, but that there is not a high level of agreement between individual experts or between studies regarding the technology areas that would benefit the most from R&D investments. This indicates that further study of prospective cost data may be useful to further inform R&D investments. We also found that the contributions of additional studies to the variance of costs in one technology area differed by technology area, suggesting that (barring new information about the downsides of particular forms of elicitations) there may be value in not only including a diverse and relatively large group of experts, but also in using different methods to collect estimates.

Suggested Citation

  • Baker, Erin & Bosetti, Valentina & Diaz Anadon, Laura & Henrion, Max & Aleluia Reis, Lara, "undated". "Future Costs of Key Low-Carbon Energy Technologies: Harmonization and Aggregation of Energy Technology Expert Elicitation Data," Climate Change and Sustainable Development 204890, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemcl:204890
    DOI: 10.22004/ag.econ.204890
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    Cited by:

    1. Ye, Fanglin & Paulson, Nicholas & Khanna, Madhu, 2022. "Are renewable energy policies effective to promote technological change? The role of induced technological risk," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    2. Barron, Robert & McJeon, Haewon, 2015. "The differential impact of low-carbon technologies on climate change mitigation cost under a range of socioeconomic and climate policy scenarios," Energy Policy, Elsevier, vol. 80(C), pages 264-274.
    3. Alina Ștefania Chenic & Alin Ioan Cretu & Adrian Burlacu & Nicolae Moroianu & Daniela Vîrjan & Dragos Huru & Mihaela Roberta Stanef-Puica & Vladimir Enachescu, 2022. "Logical Analysis on the Strategy for a Sustainable Transition of the World to Green Energy—2050. Smart Cities and Villages Coupled to Renewable Energy Sources with Low Carbon Footprint," Sustainability, MDPI, vol. 14(14), pages 1-30, July.
    4. Erin Baker & Valentina Bosetti & Ahti Salo, 2017. "Finding common ground when experts disagree: Robust portfolio decision analysis," Working Papers 2017/11, Institut d'Economia de Barcelona (IEB).
    5. Baker, Erin & Bosetti, Valentina & Salo, Ahti, 2020. "Robust portfolio decision analysis: An application to the energy research and development portfolio problem," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1107-1120.
    6. Baker, Erin & Bosetti, Valentina & Salo, Ahti, "undated". "Finding Common Ground when Experts Disagree: Belief Dominance over Portfolios of Alternatives," MITP: Mitigation, Innovation and Transformation Pathways 243147, Fondazione Eni Enrico Mattei (FEEM).
    7. Laura Diaz Anadon & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2016. "Expert views - and disagreements - about the potential of energy technology R&D," Climatic Change, Springer, vol. 136(3), pages 677-691, June.
    8. Sakti, Apurba & Azevedo, Inês M.L. & Fuchs, Erica R.H. & Michalek, Jeremy J. & Gallagher, Kevin G. & Whitacre, Jay F., 2017. "Consistency and robustness of forecasting for emerging technologies: The case of Li-ion batteries for electric vehicles," Energy Policy, Elsevier, vol. 106(C), pages 415-426.
    9. Few, Sheridan & Schmidt, Oliver & Offer, Gregory J. & Brandon, Nigel & Nelson, Jenny & Gambhir, Ajay, 2018. "Prospective improvements in cost and cycle life of off-grid lithium-ion battery packs: An analysis informed by expert elicitations," Energy Policy, Elsevier, vol. 114(C), pages 578-590.
    10. Shigeru Kimura & Venkatachalam Anbumozhi & Han Phoumin & Alloysius Joko Purwanto & Keisuke Ueda, 2022. "Energy Infrastructure Development," Chapters, in: Fukunari Kimura & Keita Oikawa (ed.), The Comprehensive Asia Development Plan (CADP) 3.0: Towards an Integrated, Innovative, Inclusive, and Sustainable Economy, chapter 15, pages 459-519, Economic Research Institute for ASEAN and East Asia (ERIA).
    11. Steffen, Bjarne, 2020. "Estimating the cost of capital for renewable energy projects," Energy Economics, Elsevier, vol. 88(C).
    12. Fertig, Emily, 2018. "Rare breakthroughs vs. incremental development in R&D strategy for an early-stage energy technology," Energy Policy, Elsevier, vol. 123(C), pages 711-721.
    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. Bosetti, Valentina & Marangoni, Giacomo & Borgonovo, Emanuele & Diaz Anadon, Laura & Barron, Robert & McJeon, Haewon C. & Politis, Savvas & Friley, Paul, 2015. "Sensitivity to energy technology costs: A multi-model comparison analysis," Energy Policy, Elsevier, vol. 80(C), pages 244-263.
    15. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).
    16. Kiefer, Christoph P. & del Río, Pablo, 2024. "Analysing the impact of renewable energy auctions on market concentration," Renewable Energy, Elsevier, vol. 221(C).
    17. Giannousakis, Anastasis & Hilaire, Jérôme & Nemet, Gregory F. & Luderer, Gunnar & Pietzcker, Robert C. & Rodrigues, Renato & Baumstark, Lavinia & Kriegler, Elmar, 2021. "How uncertainty in technology costs and carbon dioxide removal availability affect climate mitigation pathways," Energy, Elsevier, vol. 216(C).
    18. Verdolini, Elena & Anadon, Laura Diaz & Lu, Jiaqi & Nemet, Gregory F., 2015. "The effects of expert selection, elicitation design, and R&D assumptions on experts' estimates of the future costs of photovoltaics," Energy Policy, Elsevier, vol. 80(C), pages 233-243.
    19. Vassilis Daioglou & Steven K. Rose & Nico Bauer & Alban Kitous & Matteo Muratori & Fuminori Sano & Shinichiro Fujimori & Matthew J. Gidden & Etsushi Kato & Kimon Keramidas & David Klein & Florian Lebl, 2020. "Bioenergy technologies in long-run climate change mitigation: results from the EMF-33 study," Climatic Change, Springer, vol. 163(3), pages 1603-1620, December.
    20. Olaleye, Olaitan & Baker, Erin, 2015. "Large scale scenario analysis of future low carbon energy options," Energy Economics, Elsevier, vol. 49(C), pages 203-216.

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    Keywords

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    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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