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Thursday, March 16 • 4:00pm - 5:30pm
Poster: Keeping our Energy Future Hydrated

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Recently world leaders have become increasingly concerned about the water-energy nexus, a concept that refers to the necessity of water in energy production and the consumption of energy in the extraction, purification, and delivery of water. The need for the inclusion of water constraints within energy planning is more important today than ever before. In the US, 40% of freshwater extracted annually is used in thermoelectric power plants. Hydraulic fracturing is also known to be a water intensive process for energy production. Cooling-water scarcity has a tremendous impact on various nuclear and fossil-fueled power plants in the southeastern United States during the warmer summer months when they are forced to reduce production. My objective is to understand the dynamic relationship between energy and water commodities. In order to understand the dynamic correlations between these nonstationary commodities, I propose to explore their co-movement using wavelet coherence analysis and other time-varying spectral representations. Investment decisions based on this insight will be made under the umbrella of portfolio investment theory to determine the optimal risk-return tradeoff in the two commodities. The key to this investment strategy, and a focus of my research, is optimally estimating and forecasting the inverse of a sparse covariance matrix of complex time-frequency interactions. Correctly identifying the dynamic interactions of water and energy commodities not only creates a vehicle to improve upon current investment decision planning within the United States, but could also impact decision processes within countries that have high water stress. My research speaks directly to this important global challenge of the next two decades by helping investment planners make better decisions on how to allocate water to maximize energy returns while preserving potable water sources.


Thursday March 16, 2017 4:00pm - 5:30pm
Exhibit Hall BRC

Attendees (1)