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

机译:能源技术专家的启发:应用于天然气涡轮效率

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摘要

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.
机译:专家启发是表征技术不确定性的关键工具,因为有关技术进步的历史数据可能无法为预测未来的进展提供足够的基础。本文的目的是描述有关基于燃气轮机的技术在电力行业中的未来性能的专家启发的协议和结果,并讨论这些见解如何与能源建模中的当前启发文献相关。启发结果表明,预期效率的增长可能会比历史趋势慢;但是,评估值仍明显高于许多能源模型中使用的效率。结果还表明,进行面对面的启发对于最小化过度自信和批判性地检查报告的值可能很重要,尤其是在评估分布尾部的非中心概率时。

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