Assessing the spatial disparity of energy production and consumption using multi-variates disaggregation models

Authors: Hyun Kim*, University of Tennessee
Topics: Spatial Analysis & Modeling, Sustainability Science
Keywords: spatial optimization, regression models, energy, spatial analysis
Session Type: Paper
Day: 4/14/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Studio 8, Marriott, 2nd Floor
Presentation File: No File Uploaded

The spatial disparity between energy production and consumption has been highlighted as a critical concern of energy policy in the United States. Of primary concern is how to assess the mismatch between energy production and consumption across various geographic scales. This research proposes a set of assessment methods to explore the spatial mismatch using multi-variate disaggregation models, which are based on spatial location-allocation models. The models use socio-economic data to explore the best variables from socio-economic data in estimating the energy balance and provide an optimal allocation of energy production corresponding to the consumption at County level.

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