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GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von...

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GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology and Biosystems Engineering Braunschweig, Germany
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Page 1: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

GHG emissions of biomass: Consequence of modelling choices

Dr. Heinz StichnotheJohann Heinrich von Thünen-Institut

Institute of Agricultural Technology and Biosystems Engineering

Braunschweig, Germany

Page 2: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Outline

• Methodological approaches

• Basis of comparison and allocation

• Indirect Emissionen (default values)

• Lack of knowledge

• Bio-based economy - limited resource

• Limits

• Conclusions

Page 3: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Life cycle of biofuelsRM

Transp.

Field

Transp.

Convers.

Transp.

Land use change

Use

Waste management

Co-products

Page 4: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Methodological approaches

• Attributional LCAdirect impacts due to diesel, fertiliser and pesticide usestandardised procedure (system boundaries, allocation, etc.)used for product declaration and certification systems

Advantage: comparable Disadvantage: blind spots

• Consequentional LCAstudies the consequences of changeactivities in- and outside the LC effected by changes are investigatedincludes alternative uses of constrained production factors

Advantage: more complete Disadvantage: less precise

Page 5: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Basis of comparison• Carbon intensity per energy output• Annual emissions

Not suitable for material useCascade use (all burdens to first life) Catch crops, crop rotation shift of emissions

• Energy content• Exclusion of agricultural co-products

Allocation

Page 6: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Specialities of palm oil

• Used as food, raw material and energy source

• Yield (PO 3.7, rapeseed 0.6; soja 0.4 t/ha)

• World production 45-50 Mt

• 86% occurs in Malaysia and Indonesia

• Export (approx. 80%)

• 250.000 ha/a 3. GHG-emitter

Page 7: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Agricultural residuesEU-RED Annex 5 (18) Exclusion of nut shells, husk, etc

Compostplant

FFB

Input Process

Diesel

Water

Biogasplant

EFB POME

Power plant

Fibre Shells Electr .

Biogas

Compost Ash

Plantation 1000 kg

92 kg

650 kg230 kg

Output

CPO

Kernel

AirWaterSoil

Energycarrier

Products

By-Products

Emissions

Oil mill

Diesel

Fertilizer22 kg

Pesticides

Diesel

0.07 L

Steam

8.7 m ³ CH 4

Compost

Compostplant

FFB

Input Process

DieselDiesel

WaterWater

Biogasplant

EFB POME

Power plant

FibreFibre ShellsShells Electr .Electr .

Biogas

Compost Ash

Plantation 1000 kg

92 kg

650 kg230 kg

Output

CPO

Kernel

AirWaterSoil

Shells

Products

By-Products

Emissions

Oil mill

DieselDiesel

Fertilizer22 kg FertilizerFertilizer22 kg

PesticidesPesticides

DieselDiesel

0.07 L

SteamSteam

8.7 m ³ CH 4

CompostCompostCompost

Page 8: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

CH4 from POME

• Default value 27 g/MJ (1.5 times higher)

• CH4 capture - Yes or no

• No difference between flaring and utilisation• Use of biogas hampered by exclusion of by-

products (nut shells)• Efficiency of biogas capture is not

considered (THREAT: leackage can outbalance the benefits)

Page 9: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Biowaste managementBiowaste “treatment” on palm oil plantations

0

50

100

150

200

250

300

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Anaerobic condition in the pileG

WP

fro

m E

FB

[C

O2e

q/

t F

FB

]

1 t FFB = 0.2 t palm oil; 150 – 1125 kg CO2eq. per t Palm oil 4 – 30 g CO2eq/MJ Biodiesel: 37 g CO2eq/MJ

50% reduction

35% GHG reduction

Currently not specified in palm oil production systems according to EU-RED

Page 10: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Indirect emissions

• Nitrogen fertiliser production18 g N2O per kg N (average without N2O removal)

• After implementation of catalytic N2O reduction measures in Western Europe9 g N2O per kg N (current average)

• Technically possible 3 g N2O per kg N (future average in Western Europe)

In comparison approx. 10 g N2O is formed per kg N applied

Emission intensive fertiliser production is treated preferentially if Global default values are used; consequently GHG reduction from imported biomass might be overestimated

Page 11: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Direct emissions

• Organic Nitrogen is currently excluded in GHG calculations(examples in Annex V)

• IPCC 2006 Guidelines (table 11.1), the default emission factor is 1% of applied (inorganic and organic) N.

Example total N demand per t palm oil: 25 kg N, thereof 3,7 kg „returned“15% N input is not considered and consequently nitrous oxide from this input is also not taken into account

Advantage: Nutrient recycling is fostered; simplified approachDisadvantage: GHG emission savings are overestimated

Page 12: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Land use change - Indonesia

Mit 100 t CO2e/ha = 25 Mt CO2e = 50% THG LW in D.

0,7

1,2

2,5

3,0

3,33,4

3,73,9

4,4

4,9

0

1

2

3

4

5

1990 1995 2000 2001 2002 2003 2004 2005 2006 2007

Are

a [M

ha]

Assuming 100 t CO2e/ha = 25 Mt CO2e = 50% GHG German agriculture

Page 13: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Context

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

Pa

lm o

il [1

00

0*t]

18075 16100 14150 5400 2988 2100 312

Indonesia MalaysiaIndia/China

EU-27 EU-FoodEU-

IndustryEU-Energy

16% 9% 6% 1%

55%38%

6%

Page 14: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Limited resource - Oil

Page 15: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Limited resource - P

Page 16: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Limits

• National versus international responsibilitywho is contributing what to which extent

• Influence sphere• Default values versus „real values“,

management practise• Lack of knowledge – organic nitrogen, soil

carbon• Focus on GHG blind spots• Crude oil and phosphorous are limited

Page 17: GHG emissions of biomass: Consequence of modelling choices Dr. Heinz Stichnothe Johann Heinrich von Thünen-Institut Institute of Agricultural Technology.

Conclusions

• Do we want to be accurate or comparable?Indirect land use change, soil carbon storage

• Technology - European average values for developing countries?

• Right incentives for imported biomass?• Simplification - overestimation of savings• For imported biomass

Learning curve yes, but GHG savings?


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