Dynamic Electricity Generation For Addressing Daily Air Quality Exceedances In The Us

Air quality is forecast daily in the US. This information can inform daily management decisions in the electric power sector, attempting to avoid daily air quality standard exceedances by redispatching generation from regions strongly influencing the exceedance to elsewhere. Here we propose to design and evaluate a dynamic management system for the electric power sector with the goal of avoiding daily exceedances of air quality standards for ozone in the eastern US. We will first demonstrate this dynamic system for a selected episode, evaluating choices in how this system might operate, and incorporating model uncertainty into the design. We will then demonstrate its application over a full summer season, and evaluate this system based on costs, fuel consumption, greenhouse gas emissions, electrical system reliability, success in avoiding local ozone exceedances, and changes in ozone and PM2.5 over the eastern US, considering environmental justice.