The residential energy and indoor air quality (REIAQ) model framework was developed by STAR grantees at the Illinois Institute of Technology as a tool for investigations on how energy use affects indoor air quality. The framework builds upon the EnergyPlus model (by Department of Energy) along with historical weather and air pollution data to predict energy consumption, ventilation system runtimes, and indoor concentrations of ozone, PM2.5, ultrafine particles and NO2, as well as some VOCs. Application of REIAQ matched within 2% the historical annual space conditioning energy consumption for US residential buildings. The population-weighted health burden of residential indoor air exposures in the US was estimated at 192 disability-adjusted life-years (DALYs) per 100,000 persons per year, of which 111 DALYs were attributable to PM2.5, and most of the rest to aldehydes.