U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

The Effect of Diesel Fuel Sulfur Content on Particulate Matter Emissions for a Nonroad Diesel Generator



Details

  • Personal Author:
  • Description:
    The effect of sulfur content on diesel particulate matter (DPM) emissions was studied using a diesel generator (Generac Model SD080, rated at 80 kW) as the emission source to simulate nonroad diesel emissions. A load simulator was used to apply loads to the generator at 0, 25, 50, and 75 kW, respectively. Three diesel fuels containing 500, 2100, and 3700 ppm sulfur by weight were selected as generator fuels. The U.S. Environmental Protection Agency sampling Method 5 "Determination of Particulate Matter Emissions from Stationary Sources" together with Method 1A "Sample and Velocity Traverses for Stationary Sources with Small Stacks or Ducts" was adopted as a reference method for measurement of the exhaust gas flow rate and DPM mass concentration. The effects of various parameters on DPM concentration have been studied, such as fuel sulfur contents, engine loads, and fuel usage rates. The increase of average DPM concentrations from 3.9 mg/Nm(3) (n cubic meter) at 0 kW to 36.8 mg/Nm(3) at 75 kW is strongly correlated with the increase of applied loads and sulfur content in the diesel fuel, whereas the fuel consumption rates are only a function of applied,loads. An empirical correlation for estimating DPM concentration is obtained when fuel sulfur content and engine loads are known for these types of generators: Y = Z(m)(alpha X + beta), where Y is the DPM concentration, mg/m(3), Z is the fuel sulfur content, ppm(w) (limited to 500-3700 ppm(w)), X is the applied load, kW, m is the constant, 0.407, alpha and beta are the numerical coefficients, 0.0118 +/- 0.0028 (95% confidence interval) and 0.4535 +/- 0.1288 (95% confidence interval), respectively. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    1096-2247
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Volume:
    55
  • Issue:
    7
  • NIOSHTIC Number:
    nn:20032197
  • Citation:
    J Air Waste Manage Assoc 2005 Jul; 55(7):993-998
  • Contact Point Address:
    Department of Civil and Environmental Engineering, University of Cincinnati, P.O. Box 210071, Cincinnati, OH 45221, USA
  • Email:
    mingming.lu@uc.edu
  • CAS Registry Number:
  • Federal Fiscal Year:
    2005
  • NORA Priority Area:
  • Performing Organization:
    University of Cincinnati
  • Peer Reviewed:
    True
  • Start Date:
    20020901
  • Source Full Name:
    Journal of the Air and Waste Management Association
  • End Date:
    20060831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:f49adedb3cf114bff2e0d63c51ecfdc36c8613940c563e99b37dee2113d6f19afffb3e027c9bd81f991d77ab22fc1a144df30199410a2b841c3534300b343690
  • Download URL:
  • File Type:
    Filetype[PDF - 283.11 KB ]
ON THIS PAGE

CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.