EI’s Mike O’Boyle says to achieve transparency, fairness and competition, a Southeast wholesale power market would need to be independent—not operated by the incumbent utilities, but an independent system operator.
EI research with Vibrant Clean Energy finds competitive pricing across the Southeast would save customers $17.4 billion a year and lead to the retirement of most coal plants and gas peakers in the region by 2040.
EI’s Mike O’Boyle says an integrated market for the Southeast would yield a more efficient system as each utility would be able to share capacity resources with others across the region.
EI’s research on the economic benefits of establishing a Southeast US RTO are detailed in an article assessing the proposal’s potential.
EI’s Mike O’Boyle details the economic, emissions, and energy benefits of establishing a competitive Southeast power market.
EI’s Mike O’Boyle says Southeast utilities will have trouble achieving their net zero goals without a regional organized power market.
EI study shows utilities in seven Southeastern states could cut their electric rates by more than a quarter and reduce greenhouse gas emissions by almost half by joining an organized wholesale market.
EI’s Sarah Spengeman explains how introducing a competitive wholesale electricity market for the Southeast would save $384 billion dollars, create 400,000 jobs, and reduce power sector emissions 37% as all uneconomic coal is retired and 149 GW of renewables are added to the grid by 2040.
This first-of-its-kind report shows how a Southeast U.S. RTO/competitive wholesale electricity market would generate $384 billion in economic savings, create 285,000 clean energy jobs, and reduce electricity sector emissions 37 percent by 2040.
This online data explorer allows anyone to view the economic, jobs, generation, and emissions benefits from creating a Southeast RTO in a dynamic format along with specific results for each of the seven states (Alabama, Florida, Georgia, Mississippi, North Carolina, South Carolina, and Tennessee) included in the regional model.