Using AI to estimate future water and electricity demands in major cities in light of global warming
A multi-institutional team of industrial engineers has used AI technology to make projections of increased demand for electricity and water due to climate change in major cities across the U.S. In their study, published open access in the journal One Earth, the group trained an AI system with both climate data and electricity and water usage statistics for 46 major cities in the U.S.
To make their estimations, the researchers collected climate data for the years 2007 to 2018 for 46 of the largest cities in the U.S. They trained an AI system with the data in order to make estimations of temperature increases for all the same cities for the coming years. Next, they collected water and electricity usage data for the same cities over the same period of time.
They then used the AI results along with the data they collected to create estimations of future water and electricity demands for the same cities by 2080. The team also used climate analogs in which city utility demands are compared between cities today, and those expected to experience similar climate changes in the future. For example, New York is projected to have conditions in the future similar to those of Jonesboro, Arkansas today. Making such comparisons allows for extrapolating utility demands for future city needs.
Taken together, the research team found, as expected, that most U.S. cities will see an increase in demand for both water and electricity. But they also found exceptions—Los Angeles and New York, for example, are not likely to see much of an increase in water use, at least per capita. They also found that some Gulf Coast cities may actually see reductions in water and electricity use due to projected increases in rainfall amounts.
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