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FeedPrint
Carbon Footprint Animal Nutrition
Theun Vellinga, Wageningen UR Livestock Research
Hans Blonk, Blonk Milieu Advies
A database and calculation tool of the feed production chain
to calculate GHG emissions by using LCA
Scope of the FeedPrint project
Strategic goals:
 awareness of and insight in GHG emissions
 production chain of animal feed and from feed utilization;
 identify potential mitigation options
 not meant for use in carbon labelling !!
Operational goals:
 Elaborate methodology: scientific sound, international alignment
 Develop robust database
 Develop calculation tool including animal nutrition
 Methodology, database and tool are public available
Use of the CFP calculation tool “Feedprint”
 Main users:
 Compound feed industry and their suppliers
 Main applications:
 Strategic management
 Corporate Social Responsibility Reporting
 International alignment and application
 FAO, FEFAC, IDF, JRC, SCP-RT,...
Relationship FeedPrint and FAO/FEFAC
projectFeedPrint NL
Database
Cultivation
Processing
Feed mill
Calculation CFP
Till Feed Intake
Calculation CFP
Feed Intake/
Nutrition/farm
FPUpstreamDown
stream
FeedPrint FAO/FEFAC
Database
Cultivation
(Processing)
(Feed mill)
Calculation CFP
Till Feed Intake
FPUpstream
Life Cycle Assessment in agricultural
systems ISO and others define basic LCA principles:
 System Borders/Functional Units/Allocation rules
 Agricultural systems are complex:
 biological processes
 diffuse sources, many (small) holdings
 simulation models and calculation rules required
 Data requirement and collection issues:
 Process data, not (only) statistic outputs
 Variation between farmers, locations and time
Modelling biological processes
 2006 IPCC Guidelines
 Emission factors N2O, CH4
 N from crop residues
• Volume 4: Agriculture, Forestry and Other Land Use
– Chapter 10: livestock and manure management
– Chapter 11: nitrous oxide emissions from managed soils
– Enteric fermentation cattle: based on accepted Tier 3 (NIR)
LUC factor (All sectors and countries are
linked)
 Total CO2e emission by LUC
 5.8 Gt per year
• (Ramankutty et al., 2007; Houghton, 2010)
 Total agricultural land use from FAOstat (2008):
 4.9 * 106 hectare
 Emissions per ha :
 1180 kg CO2-equivalents per ha per year
 Emissions per kg:
 1 000 kg/ha: 1.18 kg CO2e per kg
 10 000 kg/ha: 0.118 kg CO2e per kg
Data in all kinds
Background processes:
• Energy production/ transport means/
capital goods/ chemicals
Foreground processes:
• Cultivation
• Industrial processing
• Compund feed production
• Transport
• Feed utilization
Default data
Ecoinvent, International Energy
Agency
Default data
Specific data
Required data
Crops Transp Processing Transp Feed mill
Emission kg CO2eq Data (average and distribution)
CO2fossil 1 fossil MJ and kg CO2e-MJ
CO2biogene 0 not calculated (+1 en -1)
CH4 25 measurement or according IPCC & NIR
N2O 298 calculated according IPCC based on N fluxes
Land use change:
m2*year 0.118
FramTransp
Data analysis and interpretation
Multiple values, expert judgement:
• Pedigree matrix (Ecoinvent) used in decisions on average
values
• Confidentiality interval, uncertainty for all data
• Uniform, normal , lognormal or triangular distribution
• Monte Carlo simulation for limited set of data
Lack of data:
• standard procedure for defaults, e.g. MEXALCA
Allocation in processing and livestock production
 Preferred approach in feed: economic allocation
 Other options available: mass, gross energy
 Show embedded (allocated) emissions
 What enters “your” link in the chain
 What is the contribution of your link
 Allocation is only shifting emissions, it does not
change emissions.
Primary products
Primary product
NL
Germany
France
Belgium
UK
Poland
Finland
Ukraine
Denmark
Estonia
Lithuania
Latvia
Hungary
SAmerica
Australia
N
America
Asia
Barley X X X X X
Oats X X X X X X X X X
Corn X X X X X
Rye X X X X X X X X X
Wheat X X X X X
Triticale X X X X
Legumes X X X X X
Sugar beet X X X X X X
Sugar cane X X
Potatoes X X
Cassava X
Primary products
Primary product
NL
Germany
France
Belgium
UK
Poland
Finland
Ukraine
Denmark
Estonia
Lithuania
Latvia
Hungary
SAmerica
Australia
N
America
Asia
Rapeseed X X X X X X
Linseed X X X X X X
Oil palm X
Soy X X
Sunflower X X X X X
Grass fresh X
Grass silage X
Maize silage X
Lucerne X
Milk powder X X X X X X
Whey X X X X X X
Animal products X X X X X
Fish products X X X
Data collection plant raw materials
 Yield (kg/ha) and dry matter content
 Nutrients: N, P, K, energy (GE, ME, NE)
 Crop residues
 Inputs:
 Synthetic fertilizer (N, P, K)
 Manure
 Pesticides
 Seeds
 Energy for cultivation (direct/indirect) and storage
 Land Use and Land Use Change (LULUC)
Industrial processing
 Milling, wet and dry: grains, potatoes
 Crushing: pressing, extraction: oil seeds
 Sugar refinery: beet and cane
 Biofuel production: maize, wheat
 Rendering: animal products
 Artificial drying: whey, milk powder, roughages
 Energy inputs, use of auxiliaries
Processing plant and animal products
Product in:
Mass
Dry matter
C, N, P
= 100
Co product 1 out:
Mass, DM, C, N, P, GE, €
Co products total out:
Mass, DM, C, N, P
= 100
€total
Co product 2 out:
Mass, DM, C, N, P, GE, €
Co product n out:
Mass, DM, C, N, P, GE, €
Processing
(split up in
1 – 4 sub
processes)
Mitigation options, a protocol at sector level
 FeedPrint contains secondary, default, data,
 A protocol describes:
 when to use secondary data
 when to collect additional primary activity data
 how to account for them
 Basic principle:
 communication on improved performance
must be based on primary activity data
Thank you for listening

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A database and calculation tool of the feed production chain to calculate Greenhouse Gas emissions by using Life Cycle Assessment

  • 1. FeedPrint Carbon Footprint Animal Nutrition Theun Vellinga, Wageningen UR Livestock Research Hans Blonk, Blonk Milieu Advies A database and calculation tool of the feed production chain to calculate GHG emissions by using LCA
  • 2.
  • 3. Scope of the FeedPrint project Strategic goals:  awareness of and insight in GHG emissions  production chain of animal feed and from feed utilization;  identify potential mitigation options  not meant for use in carbon labelling !! Operational goals:  Elaborate methodology: scientific sound, international alignment  Develop robust database  Develop calculation tool including animal nutrition  Methodology, database and tool are public available
  • 4. Use of the CFP calculation tool “Feedprint”  Main users:  Compound feed industry and their suppliers  Main applications:  Strategic management  Corporate Social Responsibility Reporting  International alignment and application  FAO, FEFAC, IDF, JRC, SCP-RT,...
  • 5. Relationship FeedPrint and FAO/FEFAC projectFeedPrint NL Database Cultivation Processing Feed mill Calculation CFP Till Feed Intake Calculation CFP Feed Intake/ Nutrition/farm FPUpstreamDown stream FeedPrint FAO/FEFAC Database Cultivation (Processing) (Feed mill) Calculation CFP Till Feed Intake FPUpstream
  • 6. Life Cycle Assessment in agricultural systems ISO and others define basic LCA principles:  System Borders/Functional Units/Allocation rules  Agricultural systems are complex:  biological processes  diffuse sources, many (small) holdings  simulation models and calculation rules required  Data requirement and collection issues:  Process data, not (only) statistic outputs  Variation between farmers, locations and time
  • 7. Modelling biological processes  2006 IPCC Guidelines  Emission factors N2O, CH4  N from crop residues • Volume 4: Agriculture, Forestry and Other Land Use – Chapter 10: livestock and manure management – Chapter 11: nitrous oxide emissions from managed soils – Enteric fermentation cattle: based on accepted Tier 3 (NIR)
  • 8. LUC factor (All sectors and countries are linked)  Total CO2e emission by LUC  5.8 Gt per year • (Ramankutty et al., 2007; Houghton, 2010)  Total agricultural land use from FAOstat (2008):  4.9 * 106 hectare  Emissions per ha :  1180 kg CO2-equivalents per ha per year  Emissions per kg:  1 000 kg/ha: 1.18 kg CO2e per kg  10 000 kg/ha: 0.118 kg CO2e per kg
  • 9. Data in all kinds Background processes: • Energy production/ transport means/ capital goods/ chemicals Foreground processes: • Cultivation • Industrial processing • Compund feed production • Transport • Feed utilization Default data Ecoinvent, International Energy Agency Default data Specific data
  • 10. Required data Crops Transp Processing Transp Feed mill Emission kg CO2eq Data (average and distribution) CO2fossil 1 fossil MJ and kg CO2e-MJ CO2biogene 0 not calculated (+1 en -1) CH4 25 measurement or according IPCC & NIR N2O 298 calculated according IPCC based on N fluxes Land use change: m2*year 0.118 FramTransp
  • 11. Data analysis and interpretation Multiple values, expert judgement: • Pedigree matrix (Ecoinvent) used in decisions on average values • Confidentiality interval, uncertainty for all data • Uniform, normal , lognormal or triangular distribution • Monte Carlo simulation for limited set of data Lack of data: • standard procedure for defaults, e.g. MEXALCA
  • 12. Allocation in processing and livestock production  Preferred approach in feed: economic allocation  Other options available: mass, gross energy  Show embedded (allocated) emissions  What enters “your” link in the chain  What is the contribution of your link  Allocation is only shifting emissions, it does not change emissions.
  • 13. Primary products Primary product NL Germany France Belgium UK Poland Finland Ukraine Denmark Estonia Lithuania Latvia Hungary SAmerica Australia N America Asia Barley X X X X X Oats X X X X X X X X X Corn X X X X X Rye X X X X X X X X X Wheat X X X X X Triticale X X X X Legumes X X X X X Sugar beet X X X X X X Sugar cane X X Potatoes X X Cassava X
  • 14. Primary products Primary product NL Germany France Belgium UK Poland Finland Ukraine Denmark Estonia Lithuania Latvia Hungary SAmerica Australia N America Asia Rapeseed X X X X X X Linseed X X X X X X Oil palm X Soy X X Sunflower X X X X X Grass fresh X Grass silage X Maize silage X Lucerne X Milk powder X X X X X X Whey X X X X X X Animal products X X X X X Fish products X X X
  • 15. Data collection plant raw materials  Yield (kg/ha) and dry matter content  Nutrients: N, P, K, energy (GE, ME, NE)  Crop residues  Inputs:  Synthetic fertilizer (N, P, K)  Manure  Pesticides  Seeds  Energy for cultivation (direct/indirect) and storage  Land Use and Land Use Change (LULUC)
  • 16. Industrial processing  Milling, wet and dry: grains, potatoes  Crushing: pressing, extraction: oil seeds  Sugar refinery: beet and cane  Biofuel production: maize, wheat  Rendering: animal products  Artificial drying: whey, milk powder, roughages  Energy inputs, use of auxiliaries
  • 17. Processing plant and animal products Product in: Mass Dry matter C, N, P = 100 Co product 1 out: Mass, DM, C, N, P, GE, € Co products total out: Mass, DM, C, N, P = 100 €total Co product 2 out: Mass, DM, C, N, P, GE, € Co product n out: Mass, DM, C, N, P, GE, € Processing (split up in 1 – 4 sub processes)
  • 18. Mitigation options, a protocol at sector level  FeedPrint contains secondary, default, data,  A protocol describes:  when to use secondary data  when to collect additional primary activity data  how to account for them  Basic principle:  communication on improved performance must be based on primary activity data
  • 19.
  • 20. Thank you for listening