APOM, the Air Pollutant Optimization Model, integrates a reduced form of a fully coupled atmospheric model within a unit commitment optimization model. This allows a fully dynamical approach towards electricity planning that accurately and rapidly minimizes both cost and health impacts.
The animation shows, on the left, a power plant in Georgia from July 4 to 11 in 2007, and on the right, how the power plant could have been operated to reduce health impacts.
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- “A New Approach for Optimal Electricity Planning and Dispatching with Hourly Time-Scale Air Quality and Health Considerations,” Kerl, P., Zhang, W., Moreno-Cruz, J., Nenes, A., Realff, M. Russell, A., Sokol, J., Thomas, V. M. PNAS 112 (35): 10884-10889, 2015.
- “Reduce Ozone When and Where it Matters Most,” V. Thomas, P. Kerl, J. Moreno-Cruz, A. Nenes, M. Realff, A. Russell, J. Sokol, W. Zhang. Power Magazine, November 2015.
- “Reduce Health Impacts from Power Plants,” V. M. Thomas, Georgia Tech Sustainability Symposium, October 29, 2019.
- New Approach Could Reduce Human Health Impacts of Electric Power Generation, August 2015.
- How Bad is Power Plant Pollution? Depends on the Weather. National Geographic, August 2015.
This work was supported in part by the Georgia Tech Strategic Energy Institute