COG DTP/DEP Staff Eulalie Lucas DTP Sunil Kumar DEP Testing of EPA’S MOVES Model TPB Technical Committee June 5, 2009 MOVES: Motor Vehicle Emission Simulator.

Slides:



Advertisements
Similar presentations
Getting on the MOVES: Using Dynameq and the US EPA MOVES Model to Measure the Air Pollution Emissions TRPC – Smart Corridors Project Chris Breiland Fehr.
Advertisements

1 Session VII: Fugitive Dust Area Sources Paved and Unpaved Roads.
Impact of MOVES2014 on Emission Inventories from On-road Mobile Sources Alexis Zubrow, Darrell Sonntag, Harvey Michaels, David Brzezinski, Alison Eyth.
1 Estimating On-Road Vehicle Emissions Using CONCEPT Alison K. Pollack Ralph Morris ENVIRON International Corporation.
Emission Factor Modeling Graciela Lubertino, HGAC.
SEE (Spatial Emissions Estimator): A New Tool for Estimating Link & Zone Emissions with MOVES Presentation for Southeast Texas Photochemical Modeling Technical.
1 Travel Model Application for Highway Vehicle Emission Estimation Ho-Chuan Chen, Ph.D., P.E. King County Department of Transportation Seattle, Washington.
California Energy Commission Medium and Heavy Vehicles and Movement of Light and Heavy Vehicles Inputs and Assumptions for Transportation Energy Demand.
Mobile Source Inventories for SIPs Matt Laurita Air Quality Modeling and Transportation Section EPA Region 4.
MOBILE6 and Compressed Natural Gas Vehicles Janet Kremer U.S. EPA Office of Mobile Sources.
A Heavy-Duty Vehicle Visual Classification Scheme: Heavy-Duty Vehicle Reclassification Method for Mobile Source Emissions Inventory Development Prepared.
1 Calculating Mode Shift and Congestion Relief-Related Greenhouse Gas Displacement For the Current Year (see last slide for contact information)
The Composition of the Vehicle Fleet in the Metropolitan Washington Region Results of Applying a Vehicle Identification Number (VIN) Decoder to July 1,
Progress of Beijing in Control of Vehicular Emissions Prof. Jiming Hao Institute of Environmental Science & Engineering, Tsinghua University, Beijing Dec.
PM Control Strategies for Mobile Sources Presentation for PM2.5 Implementation Workshop June 21, 2007 Gary Dolce U.S. EPA Office of Transportation and.
B.H. Baek and Catherine Seppanen Institute for the Environment-UNC at Chapel Hill Allison DenBleyker, Chris Lindhjem and Michele Jimenez ENVIRON International.
COG DTP/DEP Staff Eulalie Lucas and Erin Morrow DTP Sunil Kumar DEP Testing of EPA’S MOVES Model Travel Management Subcommittee May 26, 2009 MOVES: Motor.
Fuel Economy in Harris County-2007 Graciela Lubertino, PhD.
Air Quality and Conformity Issues James M. Shrouds, Director Office of Natural and Human Environment Federal Highway Administration AASHTO SCOE Meeting.
National VMT Development Procedure Highway Information Seminar October , 2012 Patrick Zhang, PE
The ARTEMIS tools for estimating the transport pollutant emissions Artemis project - EC DG Tren COST346 - Heavy duty vehicles emissions M. André, INRETS,
©2005,2006 Carolina Environmental Program Sparse Matrix Operator Kernel Emissions SMOKE Modeling System Zac Adelman and Andy Holland Carolina Environmental.
Instrumented Vehicle BAQ Instrumented In-Use-Vehicles, a Versatile Tool to Measure Emissions BAQ 2004 Agra, India Dec 2004 Instrumented In-Use-Vehicles,
0 Office of Transportation and Air Quality Update for Air Directors: Transportation and Air Quality Christopher Grundler Deputy Director NACAA Spring Meeting.
Kip Billings, P.E. Andy Li, Phd Wasatch Front Regional Council October 14, 2010.
4-1 Model Input Dollar Value  Dollar value of time  Accident costs  Fuel costs  Emission costs.
“Green” PORTAL: Adding Sustainability Performance Measures to a Transportation Data Archive Emissions Modeling.
COMPARISON OF LINK-BASED AND SMOKE PROCESSED MOTOR VEHICLE EMISSIONS OVER THE GREATER TORONTO AREA Junhua Zhang 1, Craig Stroud 1, Michael D. Moran 1,
1 ON-ROAD AND NON-ROAD SOURCES Melinda Ronca-Battista and Angelique Luedeker, ITEP/TAMS Center.
Harikishan Perugu, Ph.D. Heng Wei, Ph.D. PE
Igor Trpevski University of St. Cyril and Methodius Skopje,
1 MOBILE6 -Input and Modeling Guidance -SIP and Conformity Policy North American Vehicle Emission Control Conference Atlanta, April 4, 2001 Gary Dolce.
Recent Developments in Transportation Conformity Beverly Chenausky Multimodal Planning Division – Air Quality Breakout Session: Transportation Conformity/Air.
MOVES Briefing for NACAA EPA Office of Transportation and Air Quality March 3, 2009.
MOBILE6 On-Road Motor Vehicle Emissions Model 5-Day Training Course Presented in Seattle the week of September 10, 2001 U.S. Environmental Protection Agency.
14-15 June 2006 Parliament House Canberra Trends in energy for transport — What are the policy implications? Trends and projections of transport energy.
Alexis Zubrow 1, Chris Allen 2, and James Beidler EPA OAQPS and Region 1; 2. CSC.
CO 2 Emissions from Cars, Trucks & Buses in the Metropolitan Washington Region Presentation to the National Capital Region Transportation Planning Board.
Sunil Kumar and Eulalie Lucas MOVES Task Force Meeting MWCOG August 18, 2009 Development of Inputs, Outputs, and Procedures for EPA’s Draft MOVES2009 Model.
Emission Inventories and EI Data Sets Sarah Kelly, ITEP Les Benedict, St. Regis Mohawk Tribe.
Presents/slides/alison/awmapaper1.ppt Alison K. Pollack ENVIRON International Corporation Novato, California Rich Wilcox U.S. Environmental Protection.
Transportation leadership you can trust. presented to Safety Data Analysis Tools Workshop presented by Krista Jeannotte Cambridge Systematics, Inc. March.
Missoula Air Quality Conformity Analysis Required by Federal and Montana Clean Air Act – Transportation-specific air quality requirements enacted in Federal.
Transportation Conformity Overview H-GAC Conformity Workshop May 30, 2007.
COG/DTP Staff Eulalie Lucas and Erin Morrow Comments on Draft MOVES 2009 International Emission Inventory Conference April 16-17, 2009 Baltimore,Maryland.
WRAP Emission Inventory Status For the Attribution of Haze Project Workgroup Presented by Jeffrey Stocum Oregon DEQ Emissions Inventory Specialist as a.
Class Project Report, May 2005 ME/ChE 449 Sustainable Air Quality Highway Transportation: Trends from 1970 to 2002 and Beyond By Scott Kaminski Instructor.
O NROAD S OURCES Angelique Luedeker, ITEP. 2 Onroad Emissions Emissions from vehicles Exhaust Brake and tire wear Evaporation.
Class Project Report, May 2005 ME/ChE 449 Sustainable Air Quality Highway Transportation: Trends from 1970 to 2002 and Beyond By Scott Kaminski Instructor.
Moves 2010 Midwest Traffic Model Users Group September 30, 2010 Ames, Iowa Mark Filipi, AICP PTP Manager, Transportation Planning Services Metropolitan.
Regional Transportation Council Mobility Plan Workshop North Central Texas Council of Governments November 12, 2015.
Class Project Report, May 2005 ME/ChE 449 Sustainable Air Quality Highway Transportation: Trends from 1970 to 2002 and Beyond By Scott Kaminski Instructor.
1 Climate Change: Impact on Transportation (And Transportation Impact on Climate Change) August 14, 2008 Mike Clifford Metropolitan Washington Council.
HPMS Traffic Data Review Highway Information Seminar Oct , 2012 Patrick Zhang, P.E Office of Highway Information Policy, FHWA 1.
Template Summary of FY12-13 Work Plan Technical Activities Sue Kemball-Cook and Greg Yarwood NETAC Policy Committee Meeting April 22, 2014.
1 Session IV: Onroad Mobile Sources Laurel Driver US EPA.
Sunil Kumar MOVES Task Force Meeting MWCOG January 19, 2010 Review of MOVES2010 Local Data Inputs.
1 National Standards Set for Criteria Pollutants  Particulate Matter  Sulfur Dioxide  Nitrogen Dioxide  Carbon Monoxide  Lead  Ozone.
Regional Transportation Plan Draft Hybrid Scenario Transportation Policy Committee 7/22/03.
Proposed Regulation to Restrict Idling of Diesel-Powered Vehicles Environmental Quality Board Harrisburg, Pennsylvania October 16, 2007 Thomas K. Fidler,
CEE6984: Special Topics – Transportation Sustainability
SMOKE-MOVES Processing
B.H. Baek, Alejandro Valencia, and Michelle Snyder
Development of 2016 Alpha Onroad Mobile Emissions
Developing a Real-Time Energy and Environmental Monitoring System
B.H. Baek, Rizzieri Pedruzzi, and Carlie Coats UNC at Chapel Hill, USA
Preparation of Fine Particulate Emissions Inventories
Impacts of hydrogen pathways vs
Sensitivity Analysis Update
Presented By: George Noel – Volpe Mark Glaze - FHWA 1/13/2014
Presentation transcript:

COG DTP/DEP Staff Eulalie Lucas DTP Sunil Kumar DEP Testing of EPA’S MOVES Model TPB Technical Committee June 5, 2009 MOVES: Motor Vehicle Emission Simulator

2 MOVES Major Features MOVES Vs. MOBILE6 Geography Jurisdiction, regional or state level aggregation possible. Time Spans No change. Energy /emission output available by hour of the day, and month for calendar years 1990 and 1999 through 2050, with options to run at more aggregate day, month or year levels. Same as ozone & winter day and seasonal (annual) Sources Requires conversion to thirteen vehicle types. (types are shown on a different slide ) Outputs and Pollutant Emissions MOBILE6 pollutants VOC, CO, NOx, PM2.5 & PM10, N2O, CH4, CO2, toxics; Plus new pollutants added (e.g., CO2 equivalent, individual components of PM2.5 & PM10, total energy consumption). Emission Processes Some change. Running, start, extended idle (e.g. heavy-duty truck (“hoteling”), well-to-pump, brakewear, tirewear, evaporative permeation, evaporative fuel vapor venting, and evaporative fuel leaks. Evaporative emissions characterized differently. Major Features - MOVES Vs. MOBILE6

3 Transition : Mobile6.2 to MOVES Local Data Needs (Assume county level application as currently done)  Required Local Datasets for County Level Analysis  Fuel Characteristics  Meteorology  I/M Program  Age Distribution (Registration data)  Population of MOVES Vehicle Types (for each county in a calendar year)  Total Base Year VMT for HPMS Vehicle Types (for each county in a calendar year)  VMT Fraction across (4) MOVES Road Types for (13) individual MOVES Vehicle Types (for each county in a calendar year)

4 Local County Level Data  Fuel Characteristics  Local data available. Appropriate fuel formulation can be identified from the list provided with the MOVES model.  Meteorology  Local data available. Needs minimal formatting for MOVES application.  I/M Program  Local data available. Needs minimal formatting for MOVES application.  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 Vehicle Population MOBILE & MOVES Vehicle Types MOBILE6 Vehicle Types Veh Type Description (gas and diesel combined) 1LDVLight-Duty Vehicles (Passenger Cars) 2LDT1Light-Duty Trucks 1 (0-6,000 lbs. GVWR, 0-3,750 lbs. LVW) 3LDT2Light-Duty Trucks 2 (0-6,000 lbs. GVWR, 3,751-5,750 lbs. LVW) 4LDT3Light-Duty Trucks 3 (6,001-8,500 lbs. GVWR, 0-5,750 lbs. ALVW) 5LDT4 Light-Duty Trucks 4 (6,001-8,500 lbs. GVWR, 5,751 lbs. and greater ALVW) 6HDV2BClass 2b Heavy-Duty Vehicles (8,501-10,000 lbs. GVWR) 7HDV3Class 3 Heavy-Duty Vehicles (10,001-14,000 lbs. GVWR) 8HDV4Class 4 Heavy-Duty Vehicles (14,001-16,000 lbs. GVWR) 9HDV5Class 5 Heavy-Duty Vehicles (16,001-19,500 lbs. GVWR) 10HDV6Class 6 Heavy-Duty Vehicles (19,501-26,000 lbs. GVWR) 11HDV7Class 7 Heavy-Duty Vehicles (26,001-33,000 lbs. GVWR) 12HDV8AClass 8a Heavy-Duty Vehicles (33,001-60,000 lbs. GVWR) 13HDV8BClass 8b Heavy-Duty Vehicles (>60,000 lbs. GVWR) 14HDBSSchool Buses 15HDBTTransit and Urban Buses 16MCMotorcycles (All) MOVES Veh Type 11Motorcycle 21Passenger Car 31Passenger Truck 32Light Commercial Truck 41Intercity Bus 42Transit Bus 43School Bus 51Refuse Truck 52Single Unit Short-Haul Truck 53Single Unit Long-Haul Truck 54Motorhome 61Combination Short-Haul Truck 62Combination Long-Haul Truck

6 Annual VMT by HPMS Vehicle Types (MOVES Allocation) Motorcycle Passenger Car Other 2 axle-4 tire vehicles Single Unit Trucks Bus Combination Trucks Annual VMT - DTP Vs. MOVES Allocation Annual VMT by Facility Types (DTP Allocation) Freeways Major Arterials Minor Arterials Collectors Expressways Local and Ramps

7 VMT Fraction across MOVES Road Types for Individual MOVES Vehicle Types MOVES Road Type Definition Rural restricted - roadways with restricted access for vehicles (i.e. rural interstates) Rural unrestricted – roadways with unrestricted access for vehicles (i.e. rural arterials, collectors, and local) Urban restricted - roadways with restricted access for vehicles (i.e. urban expressways, freeways and interstates) Urban unrestricted – roadways with unrestricted access for vehicles (i.e. urban arterials, collectors, and local) Off-Network – Parking lots, Driveways Current COG/DTP VMT Fractions Allocation by:  Network traffic  Local Roads  Auto Access to transit ** VMT fractions not developed for individual vehicle types

8 MOVES InputsLocal DataEPA Default Fuel CharacteristicsLocal data available. Appropriate fuel formulation can be identified from the list provided with the MOVES model. Fuel formulations Meteorology DataLocal data availableCounty data I/M ProgramsLocal data available. Needs formatting for MOVES.County data Ramp Fraction (portion of roadway assigned to ramps) Local data availableNational data VMT FractionVMT fraction across MOVES road types for each MOVES vehicle types. VMT fractions across FHWA facility types available, need to be converted in the format above (using NEI assumptions ?) National data Vehicle PopulationVehicle population data available by Mobile6 vehicle types can be converted to MOVES types National data Total Annual VMTNeed annual VMT by HPMS vehicle types. Local data available by FHWA facility types need to be converted (using NEI assumption ?) National data Age DistributionMobile6 based local data conversion to MOVES format possible. Direct local data development in MOVES format preferred National data Summary : Local Data Needs (County Level Analysis)

9 Feedback from Air Agency Staff VDEQ:  The MOVES format for input files is definitely very different from that used for MOBILE6. It will take some time to become comfortable with the new format and confident in the results produced  Created database containing locality-specific input data for 3 counties in various parts of the state. Used 3 separate databases and 3 separate RunSpecs since MOVES only allows you to generate emissions for one county at a time. (EPA plans to add batch processing in the final model.)  Encountered issues with emission calculations using different time aggregation options in the model. Emissions generated using the hourly time aggregation are considerably lower than those generated using a monthly time aggregation. Comments and sample files to EPA and their contractor is working through the issue. MDE:  Tested ‘National’ run (MOVES default) for Baltimore County (2005 PEI). NOx emission estimates show the same increased pattern as described in MOVES release. VOC numbers were also higher contrary to the belief.  Testing the more important ‘County’ run (with area specific inputs). The challenge is in converting MOBILE6 inputs into the MOVES-based databases. There is not adequate guidance at this point. Trial runs yield un- reasonable estimates for lack of accurate mapping of various data elements. Technical Guidance is the key to the whole process.

10 MOVES Emissions Processes  Running Exhaust  Start Exhaust  Extended Idle Exhaust  Crankcase Start/Running/Extended Idle Exhaust  Evaporative/Refueling Losses  Evaporative Permeation, Evaporative Fuel Vapor Venting, Evaporative Fuel Leaks  Refueling Displacement Vapor Loss, Refueling Spillage Loss  Tire Wear  Brake Wear  Well-To-Pump (energy only)

11 MOVES Emissions by Source, Age, Mode

12 How MOVES handles vehicle activity Vehicle Specific Power (VSP) – a measure of the energy the vehicle is using at a moment in time –Affected by acceleration, road grade, resistance, etc. Operating Mode – what the vehicle is doing, i.e., accelerating, braking, cruising, idling –Vehicles use different VSP in different operating modes –MOVES defines 23 operating mode bins – combinations of speed and VSP for different running conditions plus additional operating modes for starts and evaporative emissions Drive Cycle – a second-by-second description of vehicle activity over time, typically including multiple operating modes Total Activity Distribution By Process (based on VMT, Age dist., vehicle pop., sales & VMT growth rates, etc.) –Running, Tire/Brake Wear – Source Hours Operating (SHO) –Evaporative Fuel Permeation, Vapor Venting & Leaking – Source Hours –Start – Number of Starts –Extended Idle - Extended Idle Hours

13 Operating Mode Bins

Draft Work Plan and Schedule 1.Review MOVES model inputs and discuss with agencies- April to September 2.Test model using default values- June and July 3.Form a joint transportation and air technical/policy group to decide on technical and policy items as they relate to MOVES implementation and application.- June/July 4.Develop inputs using local data (with help from task force and EPA technical guidance documentation)- July -August 5.Apply model using local data.- July to September 6.Compare MOVES results by pollutant with MOBILE6 runs.- September 7.Develop transportation and air agency agreement on MOVES inputs and overall process- Pending MOVES model approval by EPA

15 Benefits gained from Mobile6 Task Force  Inter-agency (Air Agency and DOTs) consultation on both transportation and environmental model inputs.  Staff from COG DEP and DTP represented.  Consultant assistance: inputs were reviewed, tested and documented.  Documentation used in Air Quality Conformity and SIP reports to EPA and USDOT.

16 Closing Comments June 29 & June 30 th, 2009 MOVES training scheduled (EPA/FHWA sponsored) Location: MWCOG MOVES website