@inproceedings{4a8f8a8d13864ec9b4a4e453fc0b1c4d,
title = "Valuing Flexibility in Low Carbon Electricity Portfolios",
abstract = "With the increased focus on responding to climate change by accelerating a transition to a low carbon energy system, differing views remain on the combination of energy technologies that will best achieve this goal. Identifying technological pathways is complicated by wide uncertainties in economic and technological factors. Analyses that neglect these uncertainties can produce pathways for a low carbon energy future that are highly granular and specific, but which are based on a particular assumption about future conditions and imply a need to make specific technology commitments over a long period of time. We frame the energy transition problem as the identification of one near-term investment strategy that is flexible across a wide range of possible future costs, followed by many alternative subsequent investment plans, each of which responds to realized future costs to achieve an aggressive emissions reduction target. Using an example of planning a low carbon power system under uncertainty, we demonstrate the option value of not ruling out some energy technologies in the near-term.",
author = "Webster, {Mort D.} and Bining Zhao and Jesse Bukenberger and Seth Blumsack",
note = "Funding Information: This work was supported by the Power and Energy Systems Transition Laboratory and the College of Earth and Mineral Sciences at The Pennsylvania State University. The work has benefitted from constructive feedback on earlier versions by Bob Bellis, Garrett Gulish, Brian Gutknecht, Klaus Keller, Lee Kump, Wes Hall, Anupam Narula, and Nidhi Santen. Computations for this research were performed on the Pennsylvania State University's Institute for Computational and Data Sciences' Roar supercomputer. Publisher Copyright: {\textcopyright} 2023 IEEE Computer Society. All rights reserved.; 56th Annual Hawaii International Conference on System Sciences, HICSS 2023 ; Conference date: 03-01-2023 Through 06-01-2023",
year = "2023",
language = "English (US)",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "2725--2734",
editor = "Bui, {Tung X.}",
booktitle = "Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023",
address = "United States",
}