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Sunil Kumar and Eulalie Lucas MOVES Task Force Meeting MWCOG August 18, 2009

This study focuses on the creation and processing of input files for EPA's MOVES2009 Model, including new features, data sets, and procedures specific to local datasets. The development covers a range of factors like fuel characteristics, meteorology, vehicle populations, and VMT fractions to enhance emissions estimation at different levels.

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Sunil Kumar and Eulalie Lucas MOVES Task Force Meeting MWCOG August 18, 2009

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  1. Development of Inputs, Outputs, and Procedures for EPA’s Draft MOVES2009 Model Sunil Kumar and Eulalie Lucas MOVES Task Force Meeting MWCOG August 18, 2009

  2. MOVES Model – Introduction • MOVES - Motor Vehicle Emission Simulator • MOVES - a complete emissions estimation package. Produces total emissions. • Mobile6.2 - only emissions factors, which were processed outside the model to calculate total emissions. • MOVES –Extensive set of input files produces emissions at three (3) different levels: National, County/Regional and Project • MOVES – Input files: “Importers,” Revised processes from Mobile6.2, Totally new features.

  3. MOVES Local Data Needs • Required Local Datasets • Fuel Characteristics • Meteorology • I/M Program • Age Distribution (Registration data) • Population of MOVES Vehicle Types (for each county or region in a calendar year) • Total Base Year VMT for HPMS Vehicle Types (for each county or region in a calendar year) • VMT Fraction across MOVES Road Types for each MOVES Vehicle Types

  4. Required Local Data Sets: Status 1. Fuel Characteristics • Local data available. Appropriate fuel formulation can be identified from the list provided with the MOVES model. 2. Meteorology • Local data available. Needs minimal formatting for MOVES application. 3. I/M Program • Local data available. Needs minimal formatting for MOVES application. 4. Age Distribution (Registration data) • Local data available. • Two options for MOVES application • A. Use EPA tool to convert existing age distribution data available by Mobile6 vehicle types (1-25 years old) into MOVES vehicle types (0-30 years old). • B. Develop age distribution data by MOVES vehicle types (0-30 years old).

  5. 5. Vehicle Population, MOB6 to Moves

  6. 6. Annual VMT Development of annual VMT: use NEI method or HPMS approach?

  7. 7. VMT Fraction: Local data • VMT fraction - input data format for Mob6 & MOVES are very different • Mob6 & COG/DTP VMT fractions: • Distributed across 16 Mob6 vehicle types – 1 set each for Network, Local roads, and Auto access to transit facilities (Total 3 sets of VMT fractions)(DTP VMT fraction = Mob6 VMT fraction modified with local truck fraction) • MOVES VMT fractions: • Distributed across 4 MOVES road types (Urban/rural – restricted/unrestricted) 1 set each for 13 individual MOVES vehicle types (Total 13 sets of VMT fractions) • Development of MOVES VMT fractions: • Use NEI method ? • HPMS approach?

  8. Summary : Needs & Status of Local Data ** Optional inputs

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