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Center for Nonlinear Studies |
In recent years, global climate change has raised potential issues for energy infrastructure reliability in coastal areas. Changing climate increases uncertainty in predicting extreme weathers such as tidal incursion and stronger, more frequent hurricanes. Thus, it is critically important to adapt energy infrastructures to these potential risks. In this study, we developed a stochastic optimization framework for long-term adaptation infrastructure to uncertain weather events, where state-of-the-art climate simulation models are used for stochastic quantification. We formulate the decision making process using a scenario-based stochastic optimization model with feasibility recourse. Our framework assists decision makers with forward-thinking plans that consider costs of adaptations and risk under exogenous stochastic hurricane events. This talk is a part of the student seminar series. Multiple ten minute talks starting at 2:00pm
Host: Angel Garcia