1 / 20

Using CMAQ to Evaluate Air Quality Impacts of Nano-Cerium Diesel Fuel Additives

Using CMAQ to Evaluate Air Quality Impacts of Nano-Cerium Diesel Fuel Additives. Garnet Erdakos, Prakash Bhave, Heather Simon, George Pouliot. http://www.epa.gov/nanoscience/. Why Nano-Cerium?. Research Questions.

glain
Download Presentation

Using CMAQ to Evaluate Air Quality Impacts of Nano-Cerium Diesel Fuel Additives

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. Using CMAQ to Evaluate Air Quality Impacts of Nano-Cerium Diesel Fuel Additives Garnet Erdakos, Prakash Bhave, Heather Simon, George Pouliot

  2. http://www.epa.gov/nanoscience/ Why Nano-Cerium?

  3. Research Questions • What are the potential exposure levels to CeO2 nanoparticles (NP) due to use of nano-cerium (nCe) diesel fuel additives? • What effects do nCe fuel additives have on diesel emissions (e.g., PM, VOC, HAPs, etc.)? • What effects do nCe fuel additives have on atmospheric chemistry?

  4. Research Strategy Estimate changes in diesel emissions due to nano-cerium (nCe)-based fuel additives Estimate resulting impact on regional-scale air quality using CMAQ by comparing: Base case simulation with standard emissions nCe case simulation with modified diesel emissions using best estimates from available literature on nCe

  5. Literature Review on nCe Effects on Diesel Emissions • 33 reports and articles found through DIALOG and Internet searches • 10 studies analyzed for this work (all HD engines) • 3 nCe additive products; 10 nCe dosing levels; 6 engine types; 5 different testing procedures; different base fuels • 14 data sets: PM (n = 50), CO (n = 34), VOC (n = 35), NOx (n = 35) n = # of data points

  6. Summary of Literature Data from Diesel Emissions Studies = average concentration

  7. Summary of Literature Data from Diesel Emissions Studies = average concentration

  8. Summary of Literature Data from Diesel Emissions Studies = average concentration

  9. Summary of Literature Data from Diesel Emissions Studies = average concentration

  10. Selection of Data for CMAQ Simulations avg = -20% avg = -2.5% avg = +16% avg = +22%

  11. Example Illustration of Emissions Changes

  12. CMAQ Simulation Details • CMAQ v4.7 • Monday, August 7 – Sunday, August 13, 2006, including three days of spin-up • 12 km EUS domain, 240 x 279 grid cells, 24 layers • 2006 MM5 meteorology • SMOKE emissions – 2006 CDC PHASE runs • nCe Case: modifications to emissions for on-road and non-road diesel sources

  13. Emissions Comparison

  14. Emissions Comparison

  15. Emissions Comparison

  16. CMAQ Simulation Results

  17. CMAQ Simulation Results

  18. Summary Diesel emissions, and thus changes due to nCe fuel additives, are highly variable depending on engine type, base fuel characteristics, and testing procedure Systematic emissions tests using a single base fuel and test procedure with a population of engine types are necessary to better estimate nCe effects nCe diesel fuel additives tend to decrease mass emissions of PM at all Ce concentrations; for Ce ≤ 25 ppm, VOC and CO emissions tend to increase, while NOx emissions are reduced slightly Preliminary results show reductions in average O3 and PM concentrations due to nCe diesel fuel additives

  19. Future Work Perform additional CMAQ simulations to explore impacts of variability in nCe additive affects on diesel emissions, as well as seasonal variations Modify emissions of individual PM and VOC species (e.g., EC, benzene, HAPs) Consider locomotive, marine, and stationary diesel sources Model near-road fate and transport of CeO2 nanoparticles

  20. Jason Weinstein Tad Kleindienst Bill Linak Thomas Long John Kinsey Kevin Dreher Michele Conlon Maria Costantini Barry Park Steven Deutsch Jan Czerwinski David Green Acknowledgements EPA/ORD/NERL/HEASD Prakash Bhave George Pouliot Heather Simon Shawn Roselle Rob Pinder David Wong Wyat Appel Rohit Mathur Ken Schere Marion Hoyer Jim Caldwell Amanda Evans J. Michael Davis EPA/ORD/NRMRL/APPCD EPA/ORD/NERL/AMAD EPA/ORD/NHEERL EPA/ORD/NERL HEI GBP Consulting Rhodia Silcea NA EPA/OAR/OTAQ AFHB, HTL, Biel EPA/ORD/OSP King’s College London EPA/ORD/NCEA

More Related