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Author ORCID Identifier


Open Access Dissertation

Document Type


Degree Name

Doctor of Philosophy (PhD)

Degree Program

Industrial Engineering & Operations Research

Year Degree Awarded


Month Degree Awarded


First Advisor

Erin Baker

Subject Categories

Energy Systems | Industrial Engineering | Operational Research | Risk Analysis


In the 2015 Paris Agreement, nearly every country pledge through the Nationally Determined Contributions (NDCs) increased adoption of low carbon energy technologies in their energy system. However, allocating investments to different low carbon energy technologies under rising demand for energy and budget constraints, uncertain technical change in these technologies involves maneuvering significant uncertainties among experts, models, and decision-makers. We examine the interactions of low carbon energy sources (LCES) under the condition of deep uncertainty. Deep uncertainty directly impacts the understanding of the role of low carbon energy technologies in climate change mitigation and how much R&D investment should be allocated to each technology. We complete three projects that advance the understanding of energy transition under deep uncertainty that include (1) conduct uncertainty analysis on the impacts of the future cost of wind energy on global electricity generation and the value of wind energy to climate change mitigation. (2) We apply a new, rigorous, analytical framework to select portfolios of low carbon energy sources (LCES) of R&D investments that are robust across beliefs and models, and finally, investigate the benefit of regional cooperation for electric power capacity expansion, cross border electricity trade across the West Africa Power Pool (WAPP).


Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.