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Heavy Truck Fuel Savings

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Heavy Truck Fuel Savings through the application of Surface Wind Forecasts Case Study/Demonstration Robert Wright Planning Systems Incorporated 7923 Jones Branch Drive – PowerPoint PPT presentation

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Title: Heavy Truck Fuel Savings


1
Heavy Truck Fuel Savings through the application
of Surface Wind Forecasts Case
Study/Demonstration Robert Wright Planning
Systems Incorporated 7923 Jones Branch
Drive McLean, Virginia 22102-3304 (703)
734-3446 rwright_at_plansys.com
2
CONCEPT
  • Weather/Wind Forecasts
  • - Applied Successfully for Military
    Aircraft Ship Operations
  • -- e.g., Optimum Path Aircraft Routing
    System (Air Transportation)
  • -- e.g., Optimum Track Ship Routing
    (Sea Transportation)
  • - Forecast Wind Fields Impact
    Routes/Scheduling -- Optimize for
  • Minimum Fuel
  • Similar Application for Land Transportation
  • Commercial Heavy Trucking Operations - Long
    Haul
  • - Determine Optimum (Minimum Fuel)
    Schedule/Route Based On
  • Route Forecast Surface Winds (head/tail and
    cross)
  • Truck Highway Speed
  • Aerodynamic Drag (truck /trailer type and
    configuration )

3
CONCEPT
  • Application when Forecast Surface Winds
  • - Strong (significant impact on fuel
    consumption)
  • - Change in Time (significant change in
    fuel consumption)
  • - Verify (reliable prediction of fuel
    consumption change)
  • Long Haul Trucking Operations
  • Flexibility Fuel
    Savings
  • - Departure Scheduling
  • -- Take Advantage of Periods of
    Predicted Minimum Fuel Consumption
  • -- Avoid Periods of Predicted Maximum
    Fuel Consumption
  • - Route Selection
  • -- Take Advantage of Routes with
    Predicted Minimum Fuel Consumption
  • -- Avoid Routes with Predicted Maximum
    Fuel Consumption
  • -- Applicable for Longer,
    Cross-Country Routes use Longer Lead-Time
    Forecasts

4
DEMONSTRATION Fuel Consumption versus Departure
Time
5
DEMONSTRATION Fuel Consumption versus Departure
Time
  • Representative Drive Model
  • - Average Highway Speed 67 MPH
  • - Total Time 10 Hours
  • -- 4 Drive Segments
  • 2 Hours (134.1 Miles)
  • 1 Hour 40 Minutes (111.8 Miles)
  • 2 Hours (134.1 Miles)
  • 1 Hour 40 Minutes (111.8 Miles)
  • -- 3 Intervening Rest Periods
  • 40 Minutes, 1 Hour, 1 Hour
  • Head/Tail Wind Forecast Synchronized
  • with Truck Location/Time
  • - Time-Phased Integration of Drive Model
    and
  • Forecast Wind Fields

6
NOAA NWS Daily Weather Map, 05 April 1999/1200Z
Interstate-80 Cheyenne to Omaha
7
NOAA NWS Daily Weather Map, 06 April 1999/1200Z
Interstate-80 Cheyenne to Omaha
8
MM5 Analysis 05 Apr 99/0600Z
Cheyenne to Omaha
Truck Vector 67 MPH
MM5 Grid Line
9
MM5 Forecast 05 Apr 99/1200Z
Cheyenne to Omaha
Truck Vector 67 MPH
MM5 Grid Line
10
MM5 Forecast 05 Apr 99/1800Z
Cheyenne to Omaha
Truck Vector 67 MPH
MM5 Grid Line
11
MM5 Forecast 06 Apr 99/0000Z
Cheyenne to Omaha
Truck Vector 67 MPH
MM5 Grid Line
12
MM5 Forecast 06 Apr 99/0600Z
Cheyenne to Omaha
Truck Vector 67 MPH
MM5 Grid Line
13
Route Segment Head(-)/Tail() Winds Cheyenne to
Omaha
At Indicated Time
Time-Phased with Drive Model
Truck
Departs at Indicated Time
14
Route Segment Head(-)/Tail() Winds Cheyenne to
Omaha
At Indicated Time
Time-Phased with Drive Model
Truck
Departs at Indicated Time
15
Horsepower Contributions
Horsepower Required to Overcome Aerodynamic Drag
and Rolling Friction/Accessories Class 8
Tractor-Trailer 80,000 Pounds
  • Assumptions
  • Cross-Wind Does
  • Not Affect
  • CD
  • Rolling Friction

Courtesy/Permission Professor Fred
Browand University of Southern California, Los
Angeles DOE Heavy Vehicle Aerodynamic Drag
Project from A Multi-Year Program Plan for the
Aerodynamic Design of Heavy Vehicles
16
Relative Wind Fuel Consumption
Fuel Consumption to Overcome Aerodynamic Drag and
Rolling Friction/Accessories Class 8
Tractor-Trailer 80,000 Pounds CD 0.6
Highway Speed 67 MPH
17
Total Fuel Consumed versus Departure Time
18
Operational Implementation
  • National Centers for Environmental Prediction
    Model
  • Forecast Surface Wind Fields
  • - NOAAPORT NWS Telecommunication Gateway
  • - Eta, Nested Grid Model, Rapid Update Cycle
  • Compute Fuel Consumption as a Function of
    Possible
  • - Truck Types/Configurations, Routes,
    Departure Times
  • Fuel Consumption Departure Time
  • - Additional Parameters for Load
    Optimization/Scheduling Programs
  • - For Dispatcher Wind Optimization Feature
    ON or OFF
  • For Independent Truckers/Small Trucking
    Companies
  • - Internet Web Site
  • - Select Truck Type/Configuration, Route,
    Average Speed
  • - Display Total Fuel Consumption versus
    Departure Time

19
Potential Fuel Savings - Complete Study Required
  • Midwest/Great Plains Interstate Highway Routes

20
Potential Fuel Savings - Study Design/Parameters
  • Fall-through-Spring Period(s)
  • Surface Wind Analyses e.g., FSL Hourly, 40-Km
    Rapid Update Cycle
  • Model/Adjust Surface Winds to Truck Height
  • Interpolate Surface Winds to Interstate Highway
    Routes
  • Accurate Fuel Consumption Model Include
    Cross-Wind Effects
  • - Rolling Friction Drag Coefficient
  • Tailor to Long Haul Centrally Dispatched
    Trucking Operations
  • - Type of Trucks/Configurations (drag
    coefficients)
  • - Route Traffic Density (typical number of
    trucks scheduled by route)
  • - Daily Departure Times (typical number of
    departures by time-of-day)
  • - Scheduling Flexibility (allowable change
    versus lead-time)
  • Metric Total Fuel Saved versus Change in
    Departure Time
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