1 / 16

Emissions Estimation Tool f or El Paso Border Crossings

Emissions Estimation Tool f or El Paso Border Crossings. Reza Farzaneh, Ph.D., P.E. Josias Zietsman, Ph.D ., P.E. JAC Meeting January 23, 2014. Project Overview. Goal: Developing a MOVES-based emission estimation tool based on real-world border crossing data

adila
Download Presentation

Emissions Estimation Tool f or El Paso Border Crossings

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Emissions Estimation Tool for El Paso Border Crossings Reza Farzaneh, Ph.D., P.E. Josias Zietsman, Ph.D., P.E. JAC Meeting January 23, 2014

  2. Project Overview Goal: Developing a MOVES-based emission estimation tool based on real-world border crossing data • All data from El Paso-Juarez international bridges • A four-step process to achieve the goal of the study • Easy-to-use spreadsheet-based structure

  3. Step 1. Data Collection Protocol • Data collection plan • Data processing methods • Quality control procedures Technical Approach • Step 2. Data Collection • GPS data (cars and trucks) • Fuel samples (US and Mexico) • License plate records (cars and trucks) Preparations Literature review and information collection Identifying potential data sources • Step 3. Data Processing • Northbound and southbound trips • Fuel characteristics • Vehicle classification and age • Quality control • Step 4. Development of Emission Estimation Tool • OpMode-based emission rates from MOVES • Drive schedules from GPS data • Option to modify inputs for various scenarios • Validation

  4. Step 1. Data Collection Protocol • Data collection plan • Target vehicles: • HDD drayage (source type 61) • LD vehicles (source types 21 & 31) • Parameters to be collected • Data collection methods • Necessary paperwork and authorizations • TAMU IRB, U.S. CBP, Texas DPS • Data processing and quality control procedures • Developed from previous studies • Documented in details in QAAP

  5. Step 2. Data Collection • Vehicle activity data using GPS technology • HDD drayage – trucks from a drayage company • Light-duty vehicles – data collection by TTI staff assigned to different bridges and times of day • Fleet characteristics (vehicle type and age) • License plate recording (more than 11,000 vehicles) • Fuel characteristics • 20 samples: 5 for each fuel type/location combination • Sent to SwRI for fuel analysis

  6. Step 3. Data Processing • Vehicle classification and age distributions • Texas DMC, Chihuahua’s Recaudador de Rentas, Secretaría de Comunicaciones y Transportes • Age distribution tables for the target vehicle types • Vehicle type split summary tables • Fuel characteristics • Fuel tables for MOVES (El Paso and Juarez) • Vehicle activity • GIS processing to extract sec-by-sec speed profile of border crossing trips by • Location & Direction • Time of day • Day of week

  7. Step 3.Border Crossing Trips Ysleta-Zaragoza Bridge of the Americas

  8. Step 3.Summary of Trips BOTA - Light Duty BOTA - Heavy Duty

  9. Step 3.Age Distributions

  10. Step 4. Building Estimation Tool (1) • Structure independent from data • Easy to update • MOVES-based calculations • Vehicle activity: operating mode (opMode) bins • Emission rates: rates for each opMode bin

  11. Step 4. Building Estimation Tool (2) • High level of flexibility • Standalone Excel-based • Input parameters by direction and vehicle location • Traffic volume • Speed • Time of day traffic distribution • Vehicle age profile • Default values based on collected data • Age distributions and vehicle activity profiles • User can modify these parameters

  12. Step 4.Border Crossing Emission Estimation Tool

  13. Case Study Application (1) • Case study 1: future projections

  14. Case Study Application (2) • Case study 2: drayage truck replacement

  15. Thank You! Reza Farzaneh, Ph.D., P.E. Tel. (512) 407-1118 Reza.Farzaneh@tamu.edu Josias Zietsman, Ph.D., P.E. Tel. (979) 458-3476 Zietsman@tamu.edu

More Related