Thais Fonseca Green Cheese Biogas

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Green Cheese Energy Intensity and GHG Emissions of Integrated Dairy&Bio‐fuels Systems in Wisconsin Douglas Reinemann Horacio Aguirre‐Villegas Louis Armentano Victor Cabrera John Norman Simone Kraatz Franco Milani Josh Posner Thais Passos Fonseca

Oct 15th, 2010


GHG

Dairy Feed Dairy Herd

Crops

Biomass

Bio‐fuels Industry

GHG

FerSlizers

Bio‐fuel

Manure GHG

Dairy Feed Bio‐fuel Milk

GHG

On‐Farm Processes

Bio‐fuel

GHG

Milk

Manure GHG

BioGas, Electricity

GHG

Dairy Products Milk


Green Cheese Model ‐ Objec(ves 1) InvesSgate synergies and opportuni(es to reduce energy intensity and environmental impact of dairy and bio‐fuels producSon. 2) Provide guidance to: a) Individual farms to i) choose technologies and management pracSces to reduce energy intensity and environmental burden of milk producSon; ii) prepare for carbon credits market b) Policy makers regarding implicaSons of specific technologies on WI energy and GHG balance, aiming beZer resource allocaSon 3) Compare efficiency and environmental impact of dairy producSon systems in WI vs. other regions 4) Expand Life Cycle Assessment database of agricultural products


The “Green Cheese” Model

Desired milk produc(on

Inputs

Model Components

Informa(on Inputs

2b.Biogas genera(on 1a.Dairy herd

Machinery

2a.Manure handling

Herd characteris(cs Lacta(ng cows forage intake

Fer(lizers 1b.Diet composi(ons

3.Crop produc(on

Other characteris(cs of the system

Outputs

Land area CO 2 for feed

Chemicals

4.Bio‐fuels produc(on

Milk Meat

GHG Biogas

Nutrient losses Bio‐fuels

Green Cheese: Model Components and Boundaries

Fuels and energy Process, embedded, and cumula(ve energy and GHG emissions

System Boundary


Scenarios •  5 dairy diets –  3 forage bases •  3 levels of co‐products from bio‐fuels –  Dry disSllers grains and solubles (DDGS) –  Soybean meal (SBM) Diet

Corn silage DMI

Alfalfa silage DMI

Concentrates

CADS

29%

29%

DDGS = Soybean meal

CSDG

36%

22%

Max. DDGS

CSSB

36%

22%

Max. Soybean meal

ASDG

22%

36%

Max. DDGS

ASSB

22%

36%

Max. Soybean meal

•  2 manure treatments –  without anaerobic digesters –  with anaerobic digesters (and biogas producSon)


Results •  GHG emissions (kg CO2‐eq/kg ECM) •  Energy intensity (MJ/kg ECM) •  Net energy intensity = Energy inputs – Energy outputs

ECM = energy corrected milk to 4% fat and 3.3% protein CO2‐eq = carbon dioxide equivalent


GHG emissions from Milk ProducSon (kg CO2‐eq/kg ECM) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 CADS

CSDG

CSSB

ASDG

ASSB

Diets

AccounSng for bio‐fuels, displacement of fossil fuels; no biogas AccounSng for bio‐fuels and biogas, displacement of fossil fuels and natural gas


Net Energy Intensity of Milk ProducSon (MJ/kg ECM)

2.5 1.5 0.5 ‐0.5 ‐1.5 ‐2.5 CADS

CSDG

CSSB

ASDG

ASSB

Diets

AccounSng for bio‐fuels energy and fossil fuels displacement; no biogas AccounSng for bio‐fuels and biogas energy, displacement of fossil fuels and natural gas


Land use, GHG emissions, and energy intensity of milk production for selected diets. All values presented in relation to Diet CADS (100%).

Environmental Impacts of Integrated Milk and Bio‐fuels ProducSon (no biogas) 140% 120% 100% 80% 60% 40% 20% 0% CADS Land area use

CSDG

CSSB GHG emissions

ASDG

ASSB

Energy intensity

Diets


Land use, GHG emissions, and energy intensity of milk production for selected diets. All values presented in relation to Diet CADS (100%).

Environmental Impacts of Integrated Milk and Bio‐fuels ProducSon (with biogas) 140% 120% 100% 80% 60% 40% 20% 0% ‐20% ‐40% ‐60% ‐80% ‐100% ‐120% ‐140% CADS

CSDG

Land area use

CSSB GHG emissions

ASDG

ASSB

Energy intensity

Diets


Main Conclusions •  Effects of anaerobic digesters for on‐farm biogas generaSon: –  ReducSons in GHG emissions by 0.25 kg CO2‐eq/kg ECM –  ReducSons in energy intensity by 2.57 MJ/kg ECM

•  The minimum GHG emissions and energy intensity per kg of milk occurred in the system that: –  used anaerobic digesSon on the farm and –  maximized feeding of DDGS (and ethanol producSon) •  This scenario also resulted in the largest required land area; •  Tradeoffs need to be considered.


PotenSal Impacts of Biogas •  Farms with more than 200 cows in Wisconsin: ~ 40% of WI milk producSon ~ 4.5 billion kg of milk/year   potenSal on‐farm energy producSon (from biogas): ~ 11.5 billion MJ/year almost 3% of Wisconsin’s Natural Gas consumpSon (~ 400 billion MJ/year)

  correspondent potenSal of savings on GHG emissions: ~ 1 billion kg CO2‐eq/year almost 10% of the 10.9 billion CO2‐eq from Wisconsin’s Agriculture sector (esSmated by the World Resources InsStute, 2007)


Thank you! Thais Passos Fonseca: passosfonsec@wisc.edu Horacio Aguirre Villegas: aguirreville@wisc.edu Douglas Reinemann: djreinem@wisc.edu


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