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.
Animation
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.
Model
The APOM model is available. Please contact us and we will work with you to get you what you need.
Publications
- “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.
Video
- “Reduce Health Impacts from Power Plants,” V. M. Thomas, Georgia Tech Sustainability Symposium, October 29, 2019.
Press
- 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.
Acknowledgement
This work was supported in part by the Georgia Tech Strategic Energy Institute