Bridging Existing Energy and Chemical Transport Models to Enhance Air Quality Policy Assessment

17 Pages Posted: 5 Apr 2024

See all articles by Stanley Ngo

Stanley Ngo

The University of Texas at San Antonio

Benjamin N. Murphy

affiliation not provided to SSRN

Christopher G. Nolte

affiliation not provided to SSRN

Kristen E. Brown

The University of Texas at San Antonio

Abstract

Connecting changes in emissions to air quality is critical for evaluating the effects of a specific policy. Here, we introduce a methodology to aid in assessing the air quality impacts of changes in the energy system. A set of widely varying scenarios that describe alternative potential evolutions of the US energy system is constructed using the TIMES energy system model. For each scenario, an R script is used to communicate future emissions changes to the CMAQ photochemical air quality model. Example results are shown, and the development of the TIMES scenarios is described for users who wish to adapt them to alternate geographies. Possible use cases include evaluating the air quality effects of specific emissions reduction measures or of broad changes to dominant technologies in major sectors such as transportation.

Keywords: air quality, scenario planning, grow-in-place, model integration

Suggested Citation

Ngo, Stanley and Murphy, Benjamin N. and Nolte, Christopher G. and Brown, Kristen E., Bridging Existing Energy and Chemical Transport Models to Enhance Air Quality Policy Assessment. Available at SSRN: https://ssrn.com/abstract=4785676 or http://dx.doi.org/10.2139/ssrn.4785676

Stanley Ngo

The University of Texas at San Antonio ( email )

ONE UTSA Circle
San Antonio, TX 78249
United States

Benjamin N. Murphy

affiliation not provided to SSRN ( email )

No Address Available

Christopher G. Nolte

affiliation not provided to SSRN ( email )

No Address Available

Kristen E. Brown (Contact Author)

The University of Texas at San Antonio ( email )

ONE UTSA Circle
San Antonio, TX 78249
United States

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