Climate and energy scientists at the Department of Energy's Oak Ridge
National Laboratory have developed a new method to pinpoint which
electrical service areas will be most vulnerable as populations grow and
temperatures rise.
"For the first time, we were able to apply
data at a high enough resolution to be relevant," said ORNL's Melissa
Allen, co-author of "Impacts of Climate Change on Sub-regional
Electricity Demand and Distribution in the Southern United States,"
published in
Nature Energy.
Allen
and her team developed new algorithms that combine ORNL's unique
infrastructure and population datasets with high-resolution climate
simulations run on the lab's Titan supercomputer. The integrated
approach identifies substations at the neighborhood level and determines
their ability to handle additional demand based on predicted changes in
climate and population.
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