Implications of Increasing Household Air Conditioning Use Across the United States Under a Warming Climate

Renee Obringer, Roshanak Nateghi, Debora Maia‐Silva, Sayanti Mukherjee, C. R. Vineeth, Douglas Brent McRoberts, Rohini Kumar

Earth s Future · 29 December 2021

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In one sentence. Machine learning links weather to household air conditioning use, projecting 8–13% higher US residential demand under 1.5–2.0°C warming.

Abstract

Abstract Soaring temperatures and increased occurrence of heatwaves have drastically increased air‐conditioning demand, a trend that will likely continue into the future. Yet, the impact of anthropogenic warming on household air conditioning is largely unaccounted for in the operation and planning of energy grids. Here, by leveraging the state‐of‐the‐art in machine learning and climate model projections, we find substantial increases in future residential air conditioning demand across the U.S.—up to 8% with a range of 5%–8.5% (13% with a range of 11%–15%) after anthropogenic warming of 1.5°C (2.0°C) in global mean temperature. To offset this climate‐induced demand, an increase in the efficiency of air conditioners by as much as 8% (±4.5%) compared to current levels is needed; without this daunting technological effort, we estimate that some states will face supply inadequacies of up to 75 million “household‐days” (i.e., nearly half a month per average current household) without air conditioning in a 2.0°C warmer world. In the absence of effective climate mitigation and technological adaptation strategies, the U.S. will face substantial increases in air conditioning demand and, in the event of supply inadequacies, there is increased risk of leaving millions without access to space cooling during extreme temperatures.

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