The United States could slash greenhouse gas emissions from power production by up to 78% below 1990 levels within 15 years while meeting increased demand, according to a new study by NOAA and University of Colorado Boulder researchers.
The study used a sophisticated mathematical model to evaluate future cost, demand, generation and transmission scenarios. It found that with improvements in transmission infrastructure, weather-driven renewable resources could supply most of the nation’s electricity at costs similar to today’s.
The paper was published online in the journal Nature Climate Change.
Although improvements in wind and solar generation have continued to ratchet down the cost of producing renewable energy, these energy resources are inherently intermittent. As a result, utilities have invested in surplus generation capacity to back up renewable energy generation with natural gas-fired generators and other reserves.
Since the sun is shining or winds are blowing somewhere across the United States all of the time, MacDonald theorized that the key to resolving the dilemma of intermittent renewable generation might be to scale up the renewable energy generation system to match the scale of weather systems.
So MacDonald, who has studied weather and worked to improve forecasts for more than 40 years, assembled a team of four other NOAA scientists to explore the idea. Using NOAA’s high-resolution meteorological data, they built a model to evaluate the cost of integrating different sources of electricity into a national energy system. The model estimates renewable resource potential, energy demand, emissions of carbon dioxide (CO2) and the costs of expanding and operating electricity generation and transmission systems to meet future needs.
The model allowed researchers to evaluate the affordability, reliability and greenhouse gas emissions of various energy mixes, including coal. It showed that low-cost and low-emissions are not mutually exclusive.
Even in a scenario where renewable energy costs more than experts predict, the model produced a system that cuts CO2 emissions 33% below 1990 levels by 2030, and delivered electricity at about 8.6 cents per kilowatt hour. By comparison, electricity cost
9.4 ¢/kWh in 2012.
If renewable energy costs were lower and natural gas costs higher, as is expected in the future, the modeled system sliced CO2 emissions by 78% from 1990 levels and delivered electricity at 10 ¢/kWh. The year 1990 is a standard scientific benchmark for greenhouse gas analysis.
A scenario that included coal yielded lower cost (8.5 ¢/kWh), but the highest emissions.
At the recent Paris climate summit, the United States pledged to cut greenhouse emissions from all sectors up to 28% below 2005 levels by 2025. The new paper suggests the United States could cut total CO2 emissions 31% below 2005 levels by 2030 by making changes only within the electric sector, even though the electrical sector represents just 38% of the national CO2 budget. These changes would include rapidly expanding renewable energy generation and improving transmission infrastructure.
In identifying low-cost
MacDonald compared the idea of a HVDC grid with the interstate highway system, which transformed the U.S. economy in the 1950s. “With an ‘interstate for electrons’, renewable energy could be delivered anywhere in the country while emissions plummet,” he said. “An HVDC grid would create a national electricity market in which all types of generation, including low-carbon sources, compete on a cost basis. The surprise was how dominant wind and solar could be.”
The new model is drawing interest from other experts in the field. To learn more about the NOAA/CIRES renewable energy study, please see this FAQ:
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