This presentation, “Reducing Power Sector Emissions in China for Climate and Public Health Benefits with Economic Dispatch,” was created by Qian Luo (Ph.D. student in environmental engineering, North Carolina State University) as part of the Duke University Energy Data Analytics Ph.D. Student Fellowship Program. Learn more about the program: bit.ly/edafellows

Abstract: “China has started a new round of power market reform, introducing a dispatch approach that minimize the electricity generation costs to its current power sector. Although several studies have investigated the carbon emission impacts of adopting this economic dispatch in China, none have estimated the human health impacts brought by this transition. Comprehensively understanding the impacts of the power market reform will provide insights on how to make better regulations to protect the public health. This project will estimate the health impacts by integrating power system models and air quality models and explore how to cost-effectively reduce these health impacts by internalizing real-time health costs in plant dispatch decisions and re-optimizing the unit commitment and economic dispatch in light of these impacts.”

Support for this work was provided by the Alfred P. Sloan Foundation Grant G-2020-13922 through the Duke University Energy Data Analytics Ph.D. Student Fellowship.

Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff.

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