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INFORMS 2012, Phoenix AZ
Colin Murphy, Nathan Parker
 Air pollution compliance costs often cited as an
  obstacle in construction or operation of
  biorefineries.
 Costs of compliance with air pollution regulation
  are added to the Geospatial Bioenergy Systems
  Model (GBSM).
 Parker, N., Tittmann, P., Hart, Q., Nelson, R.,
  Skog, K., Schmidt, A., Gray, E., et al. (2010).
  Development of a biorefinery optimized biofuel
  supply curve for the Western United States.
  Biomass and Bioenergy, 34(11),
 Existing work has focused on
  technoeconomic assessments, resource
  assessments and spatial modeling.
 Spatially explicit models developing steadily
 Concern over sustainability, need for further
  study
 High computational burdens
 How to integrate environmental concerns
  with cost-based modeling?
Previous GBSM Work



                     Engineering/Economic
                     Models of Biorefineries


                       Spatially Explicit
                     Resource Assessment
                                                  Supply Chain
                                               Optimization Model
                          GIS-based
                        Transportation
                          Cost Model


                     Air Pollution Cost Data
                     Nonattainment Zone
                              Maps
 Forest Resources

    Unused mill residue

    Slash and thinnings

    Pulpwood

 MSW – 50-75% of organic fraction

 Energy Crops – Non-Irrigated Switchgrass

 Agriculture residue – Corn Stover
 Biochemical Lignocellulosic Ethanol
 NREL 2011 Process Design (Humbird et al, 2011)
 Fischer-Tropsch Diesel
 Swanson et al. (2010)
 FAME Biodiesel
 Haas et al. (2006)
 Corn Ethanol
 Parker et al. (2010) based on ANTARES 2009
   model.
 Dominant regulation is Clean Air Act, which sets
  standards for maximum allowed air pollution levels
  and requires state/local compliance.
 Areas exceeding maximum are in “non-attainment”
 Main pollutants of interest:
   PM2.5 – Combustion byproduct, responsible for cancer,
    heart disease, lung disease
   Nitrogen Oxides (NOx) – Ground-level Ozone precursor
Ozone Nonattainment Areas Areas
      PM 2.5 Non-Attainment
   PM Control
                                              Dry
                                              Electrostatic
                                              Precipitator
                                             NOx Control
                                              Selective
                                              Catalytic
                                              Reduction
                                             Includes 60%
                                              Indirect costs.


All values in 000’s of 2002 US Dollars.
 Air pollution control costs added to fixed and
 capacity dependent costs (ai and bi
 respectively), if the facility is sited in a
 relevant nonattainment area.
 Corn ethanol limited to 15 Billion gal/yr (RFS2
  Max)
 Switchgrass is planted on 50% of both
  cropland idle and cropland pasture acres
 Forest from federal lands is not allowed
 Fuel demand constraint requires each
  terminal receive its fair share of each biofuel.
 Blend wall raised to 15%
 Small reduction in production
volume & system profit.
 Bio-refineries in non-attainment
areas reduce capacity slightly, those
outside increase slightly.
 In one instance (Phoenix, AZ) a new
bio-refinery opens outside of a
nonattainment area, where none was
under baseline conditions.
 Air pollution control costs appear to have a
 relatively small effect on net biofuel system
 production, price and spatial distribution.
  0.3% Reduction in total volume produced at $3.10
   ethanol selling price.
 MSW is the most affected feedstock.
 Monetizeable environmental considerations
 can be incorporated into profit-maximizing
 optimization modeling
 AHB-PNW Study of biofuel production from
 hybrid poplar in OR, WA, ID, CA
 Add agent choice at feedstock producer and
 biorefinery operation level
  BCAM feedstock modeling
 Generate nationwide spatial air pollutant
 emissions inventory
cwmurphy@ucdavis.edu
ncparker@ucdavis.edu
No federal lands




All lands
   50% of paper currently landfilled can be separated
    for fuel production
   75% of wood currently landfilled can be separated
    for fuel production
   75% of yard wastes currently landfilled can be
    separated
   50% of food wastes currently landfilled can be
    transitioned to a source separated collection
    method
   75% of the remainder of of the organic fraction of
    MSW (including plastic, etc) can be used for fuel
    production
     Only biogenic fraction is reported in the results
   Only consider non-irrigated switchgrass
   Yields from ORNL study
     We use upland yields
     The study predicts the 95 percentile of
     switchgrass yields based on field trials.
   Land base assigned based on NASS statistics
     Cropland (Idle) – 25% or 50%
     Cropland (Pasture) – 25% or 50%
     Pastureland – 0% or 5%
Projected yields   Projected yields*land area
Murphy parker cost of air pollution control for biofuel

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Murphy parker cost of air pollution control for biofuel

  • 1. INFORMS 2012, Phoenix AZ Colin Murphy, Nathan Parker
  • 2.  Air pollution compliance costs often cited as an obstacle in construction or operation of biorefineries.  Costs of compliance with air pollution regulation are added to the Geospatial Bioenergy Systems Model (GBSM).  Parker, N., Tittmann, P., Hart, Q., Nelson, R., Skog, K., Schmidt, A., Gray, E., et al. (2010). Development of a biorefinery optimized biofuel supply curve for the Western United States. Biomass and Bioenergy, 34(11),
  • 3.
  • 4.  Existing work has focused on technoeconomic assessments, resource assessments and spatial modeling.  Spatially explicit models developing steadily  Concern over sustainability, need for further study  High computational burdens  How to integrate environmental concerns with cost-based modeling?
  • 5. Previous GBSM Work Engineering/Economic Models of Biorefineries Spatially Explicit Resource Assessment Supply Chain Optimization Model GIS-based Transportation Cost Model Air Pollution Cost Data Nonattainment Zone Maps
  • 6.  Forest Resources  Unused mill residue  Slash and thinnings  Pulpwood  MSW – 50-75% of organic fraction  Energy Crops – Non-Irrigated Switchgrass  Agriculture residue – Corn Stover
  • 7.  Biochemical Lignocellulosic Ethanol NREL 2011 Process Design (Humbird et al, 2011)  Fischer-Tropsch Diesel Swanson et al. (2010)  FAME Biodiesel Haas et al. (2006)  Corn Ethanol Parker et al. (2010) based on ANTARES 2009 model.
  • 8.
  • 9.  Dominant regulation is Clean Air Act, which sets standards for maximum allowed air pollution levels and requires state/local compliance.  Areas exceeding maximum are in “non-attainment”  Main pollutants of interest:  PM2.5 – Combustion byproduct, responsible for cancer, heart disease, lung disease  Nitrogen Oxides (NOx) – Ground-level Ozone precursor
  • 10. Ozone Nonattainment Areas Areas PM 2.5 Non-Attainment
  • 11. PM Control Dry Electrostatic Precipitator  NOx Control Selective Catalytic Reduction  Includes 60% Indirect costs. All values in 000’s of 2002 US Dollars.
  • 12.  Air pollution control costs added to fixed and capacity dependent costs (ai and bi respectively), if the facility is sited in a relevant nonattainment area.
  • 13.
  • 14.  Corn ethanol limited to 15 Billion gal/yr (RFS2 Max)  Switchgrass is planted on 50% of both cropland idle and cropland pasture acres  Forest from federal lands is not allowed  Fuel demand constraint requires each terminal receive its fair share of each biofuel.  Blend wall raised to 15%
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.  Small reduction in production volume & system profit.  Bio-refineries in non-attainment areas reduce capacity slightly, those outside increase slightly.  In one instance (Phoenix, AZ) a new bio-refinery opens outside of a nonattainment area, where none was under baseline conditions.
  • 20.  Air pollution control costs appear to have a relatively small effect on net biofuel system production, price and spatial distribution. 0.3% Reduction in total volume produced at $3.10 ethanol selling price.  MSW is the most affected feedstock.  Monetizeable environmental considerations can be incorporated into profit-maximizing optimization modeling
  • 21.  AHB-PNW Study of biofuel production from hybrid poplar in OR, WA, ID, CA  Add agent choice at feedstock producer and biorefinery operation level BCAM feedstock modeling  Generate nationwide spatial air pollutant emissions inventory
  • 23.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29. 50% of paper currently landfilled can be separated for fuel production  75% of wood currently landfilled can be separated for fuel production  75% of yard wastes currently landfilled can be separated  50% of food wastes currently landfilled can be transitioned to a source separated collection method  75% of the remainder of of the organic fraction of MSW (including plastic, etc) can be used for fuel production  Only biogenic fraction is reported in the results
  • 30. Only consider non-irrigated switchgrass  Yields from ORNL study  We use upland yields  The study predicts the 95 percentile of switchgrass yields based on field trials.  Land base assigned based on NASS statistics  Cropland (Idle) – 25% or 50%  Cropland (Pasture) – 25% or 50%  Pastureland – 0% or 5%
  • 31.
  • 32. Projected yields Projected yields*land area

Editor's Notes

  1. 1) Profit (+ energy coproducts, elec, gas) 2) Cost Procurement incl delivery, linearized fixed annual and cap dep annual cost, transport. 3) Feedstock supply constraint 4) Feedstock in = refinery capacity
  2. How much land is this?