Energy Sector Portfolio Analysis with Uncertainty

James Milford, Max Henrion, Chad Hunter, Emily Newes, Caroline Hughes, Samuel Baldwin

Research output: Contribution to journalArticlepeer-review

2 Scopus Citations

Abstract

Governments are dealing with the challenge of how to efficiently invest in research and development portfolios related to energy technologies. Research and development investment decisions in the energy space are especially difficult due to numerous risks and uncertainties, and due to the complexity of energy's interactions with the broad economy. Historically, much of the U.S. Department of Energy's in-depth research and development analyses focused on assessing the impact of a research and development activity in isolation from other available opportunities and did not substantially consider risk and uncertainty. Endeavoring to combine integrated energy-economy modeling with uncertainty analysis and technology-specific research and development activities, the U.S. Department of Energy commissioned the development of the Stochastic Energy Deployment System to support and improve public energy research and development decision-making. The Stochastic Energy Deployment System draws from expert-elicited probability distributions for research and development-driven improvements in technology cost and performance, and it uses Monte Carlo simulations to evaluate the likelihood of outcomes within a system dynamics energy-economy model. The framework estimates the uncertain benefits and costs of various research and development portfolios and provides insight into the probability of meeting national technology goals, while accounting for interactions with the larger economy and for interactions among research and development investments spanning many energy sectors.

Original languageAmerican English
Article number117926
Number of pages14
JournalApplied Energy
Volume306
Issue numberPart A
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2021 The Authors

NREL Publication Number

  • NREL/JA-6A20-78746

Keywords

  • Energy system
  • Expert elicitation
  • Portfolio analysis
  • Stochastic Energy Deployment System
  • Stochasticity
  • Uncertainty

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