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Fuel consumption, emissions estimation, and emissions cost estimates using global positioning data.

Betsy J Agar1, Brian W Baetz, Bruce G Wilson

  • 1McMaster University, Hamilton, Ontario, Canada. betsyagar@gmail.com

Journal of the Air & Waste Management Association (1995)
|March 28, 2007
PubMed
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Fuel consumption estimation for kerbside municipal solid waste (MSW) collection activities.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA·2009
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Global positioning system (GPS) data can estimate heavy-duty diesel vehicle (HDDV) emissions. This study found municipal solid waste (MSW) collection trucks are less fuel-efficient than expected, revealing significant hidden environmental costs.

Area of Science:

  • Environmental Science
  • Transportation Engineering
  • Waste Management

Background:

  • Operational data from vehicle fleets monitored by global positioning system (GPS) is often underutilized for emissions estimation.
  • Heavy-duty diesel vehicle (HDDV) fuel efficiency values may not accurately reflect real-world performance, particularly for specialized fleets like waste collection vehicles.
  • Socioenvironmental costs associated with vehicle emissions are frequently externalized, meaning they are not borne by the polluter.

Purpose of the Study:

  • To demonstrate a methodology for estimating HDDV emissions using typical GPS operational data.
  • To assess the actual fuel efficiency of municipal solid waste (MSW) collection trucks in field conditions.
  • To highlight the potential underestimation of emissions and the associated external costs from MSW collection fleets.

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Main Methods:

  • Utilized GPS operational data from a fleet of vehicles to estimate emissions.
  • Calculated the fuel efficiency of an MSW collection truck under operational conditions.
  • Quantified greenhouse gas emissions (CO2 equivalents) and estimated the monetary cost of these emissions.

Main Results:

  • The methodology successfully uses GPS data to estimate HDDV emissions.
  • MSW collection trucks exhibit significantly lower fuel efficiency (0.90 +/- 0.44 km/L) compared to published HDDV values.
  • One truck emitted approximately 42 metric tons of CO2 equivalents annually, with external costs ranging from 6-39% of annual fuel costs.

Conclusions:

  • GPS data provides a viable method for assessing real-world vehicle emissions and fuel efficiency.
  • There is a critical need to re-evaluate procurement decisions and emissions inventories for MSW collection fleets.
  • Further research is required to accurately value the hidden socioecological costs of vehicle emissions.