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Energy technology expert elicitations: An application to natural gas turbine efficiencies

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  • Bistline, John E.

Abstract

Expert elicitations are critical tools for characterizing technological uncertainty, since historical data on technical progress may not provide a sufficient basis for forecasting future advances. The objectives of this paper are to describe the protocol and results for an expert elicitation on the future performance of gas-turbine-based technologies in the electric power sector and to discuss how these insights relate to the current elicitation literature in energy modeling. Elicitation results suggest that prospective efficiency gains are likely to be slower than historical trends; however, the assessed values are still appreciably higher than the efficiencies used in many energy models. The results also indicate that conducting face-to-face elicitations may be important for minimizing overconfidence and for critically examining reported values, especially when assessing non-central probabilities in the tails of a distribution.

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  • Bistline, John E., 2014. "Energy technology expert elicitations: An application to natural gas turbine efficiencies," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 177-187.
    • Handle: RePEc:eee:tefoso:v:86:y:2014:i:c:p:177-187
    DOI: 10.1016/j.techfore.2013.11.003
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    Cited by:

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    5. Zhou, Fan & Page, Lionel & Perrons, Robert K. & Zheng, Zuduo & Washington, Simon, 2019. "Long-term forecasts for energy commodities price: What the experts think," Energy Economics, Elsevier, vol. 84(C).
    6. Bistline, John & Blanford, Geoffrey & Mai, Trieu & Merrick, James, 2021. "Modeling variable renewable energy and storage in the power sector," Energy Policy, Elsevier, vol. 156(C).
    7. 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).
    8. Bistline, John E., 2014. "Natural gas, uncertainty, and climate policy in the US electric power sector," Energy Policy, Elsevier, vol. 74(C), pages 433-442.
    9. Bistline, John E. & Comello, Stephen D. & Sahoo, Anshuman, 2018. "Managerial flexibility in levelized cost measures: A framework for incorporating uncertainty in energy investment decisions," Energy, Elsevier, vol. 151(C), pages 211-225.
    10. Bistline, John E., 2015. "Electric sector capacity planning under uncertainty: Climate policy and natural gas in the US," Energy Economics, Elsevier, vol. 51(C), pages 236-251.
    11. Kurth, Margaret & Keisler, Jeffrey M. & Bates, Matthew E. & Bridges, Todd S. & Summers, Jeffrey & Linkov, Igor, 2017. "A portfolio decision analysis approach to support energy research and development resource allocation," Energy Policy, Elsevier, vol. 105(C), pages 128-135.

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