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Climate Change Impacts on Residential and Commercial Loads in the Western U.S. Grid
doi: 10.2172/947481
This report presents a multi-disciplinary modeling approach to quickly quantify climate change impacts on energy consumption, peak load, and load composition of residential and commercial buildings. This research focuses on addressing the impact of temperature changes on the building cooling load in 10 major cities across the Western United States and Canada. Our results have shown that by the mid-century, building yearly energy consumption and peak load will increase in the Southwest. Moreover, the peak load months will spread out to not only the summer months but also spring and autumn months. The Pacific Northwest will experience more hot days in the summer months. The penetration of the air conditioning (a/c) system in this area is likely to increase significantly over the years. As a result, some locations in the Pacific Northwest may be shifted from winter peaking to summer peaking. Overall, the Western U.S. grid may see more simultaneous peaks across the North and South in summer months. Increased cooling load will result in a significant increase in the motor load, which consumes more reactive power and requires stronger voltage support from the grid. This study suggests an increasing need for the industry to implement new technology to increase the efficiency of temperature-sensitive loads and apply proper protection and control to prevent possible adverse impacts of a/c motor loads.
- Pacific Northwest National Laboratory United States
- University of North Texas United States
- United States Department of Energy United States
- Office of Scientific and Technical Information United States
- National Technical Information Service United States
Commercial Buildings, Cooling Load, Consumption, And Utilization, Motors, Air Conditioning, Peak Load, Efficiency, Energy Consumption, Climates, 32 Energy Conservation, Simulation
Commercial Buildings, Cooling Load, Consumption, And Utilization, Motors, Air Conditioning, Peak Load, Efficiency, Energy Consumption, Climates, 32 Energy Conservation, Simulation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
