Modules: A New Tool in the Emissions Modeling Framework

Details

• Creators:
  Zubrow, Alexis ; Parsons, C. ; Eyth, A. ; Vukovich, J. ; Brown, Jarrod ; Andrei, Paul ; Seppanen, Catherine
• Corporate Creators:
  John A. Volpe National Transportation Systems Center (U.S.) ; United States. Environmental Protection Agency ; University of North Carolina at Chapel Hill. Institute for the Environment
• Subject/TRT Terms:
  • Exhaust gases
  • Pollutants
  • Air quality
  • Inventory
  • Algorithms
  • Mathematical models
• Resource Type:
  Presentations
• Geographical Coverage:
  United States
• Corporate Publisher:
  John A. Volpe National Transportation Systems Center (U.S.)
• Abstract:
  The Emissions Modeling Framework (EMF) is used by various organizations, including the US Environmental Protection Agency, to manage their emissions inventories, projections, and emissions modeling scenarios. “Modules” are a new tool under development within the EMF that provide a controlled environment to implement new algorithms and run scenarios to generate both emission inventories and related datasets. Key aspects of Modules include the versioning of the algorithm scripts and versioning of the specific datasets used in any individual scenario or run; Modules systematically track changes in algorithms, inputs and assumptions, and provide a means for documenting changes and decisions made. Modules are a highly flexible environment that could be used in any assessment in which repeatability and traceability are essential. Example modules may include automated emission factor development by region or facility, creation of projection factors, and the allocation of national emissions to counties or regions. We propose that Modules will be a useful tool for the emissions modeler and the emissions inventory developer.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/36038/dot_36038_DS1.pdf
• File Type:
  [PDF - 560.16 KB]
• Collection(s):
  Volpe Center
• Main Document Checksum:
  urn:sha-512:a5cecb3f81616b2c2c978f1357594467274db18d7e114a00223a41724842a20e3a04531698453bf07073c0b38d5075f1bba71ad259bec78d6a886d48f6b9de58