Ngo Stanley, Murphy Benjamin N, Nolte Christopher G, Brown Kristen E
Klesse College of Engineering and Integrated Design; University of Texas at San Antonio; San Antonio, TX, USA.
Office of Research and Development; United States Environmental Protection Agency; Durham, NC, USA.
Environ Model Softw. 2025 Jan;183. doi: 10.1016/j.envsoft.2024.106218.
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.
将排放变化与空气质量联系起来对于评估特定政策的影响至关重要。在此，我们介绍一种方法，以协助评估能源系统变化对空气质量的影响。利用TIMES能源系统模型构建了一组广泛不同的情景，这些情景描述了美国能源系统的替代潜在演变。对于每个情景，使用一个R脚本将未来的排放变化传达给CMAQ光化学空气质量模型。展示了示例结果，并为希望将其应用于其他地区的用户描述了TIMES情景的开发过程。可能的应用案例包括评估特定减排措施或交通等主要部门主导技术的广泛变化对空气质量的影响。
