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Brett Singer, Ph.D., Lawrence Berkeley National Laboratory
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Wanyu Chan, Ph.D., Lawrence Berkeley National Laboratory
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Jennifer Logue, Ph.D., Lawrence Berkeley National Laboratory
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Neil Klepeis, Ph.D., Center for Behavioral Epidemiology and Community Health
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Max H. Sherman, Lawrence Berkeley Laboratory
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The Population Impact Assessment Modeling Framework (PIAMF) was developed to quantify the energy and health impacts of changes to the U.S. housing stock. PIAMF calculates one or more environmental and energy performance parameters for each home in a sample of 50,000 homes representing the U.S. housing stock. This presentation gives an overview on applications of PIAMF to develop guidance for cost-effective, energy-efficient methods to reduce indoor exposure to PM2.5. Previous applications have assessed the energy impacts of range hood use, building tightening for the U.S. housing stock, and the exposure impacts of natural gas cooking in Southern California.
