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Copernicus Institute Sustainable Development and Innovation. Non-Food Options at Farm Level Agricultural Bioenergy Options in ENFA. * Uwe Schneider, Chrystalyn Ivie Ramos + Edward Smeets, Iris Lewandowski, André Faaij * Research Unit Sustainability and Global Change, Hamburg University

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Non-Food Options at Farm Level Agricultural Bioenergy Options in ENFA

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Non food options at farm level agricultural bioenergy options in enfa

Copernicus Institute

Sustainable Development and Innovation

Non-Food Options at Farm LevelAgricultural Bioenergy Options in ENFA

* Uwe Schneider, Chrystalyn Ivie Ramos

+ Edward Smeets, Iris Lewandowski, André Faaij

*Research Unit Sustainability and Global Change, Hamburg University

+ Department of Science, Technology and Society, Utrecht University

Final Meeting ENFA, 23-24 April 2008, Brussels, Belgium


Table 1 food non food production lines in enfa

Table 1: Food/ Non-Food Production Lines in ENFA


Non food options at farm level agricultural bioenergy options in enfa

Non-food Product Applications Selection

  • Selection of applications are based on the following parameters:

  • market size

  • economic performance

  • technical feasibility

  • environmental performance


Non food options at farm level agricultural bioenergy options in enfa

Miscanthus & switchgrass chains

  • C4 grasses

  • high light, water, and nitrogen use efficiency

  • high yield potential

  • miscanthus field

  • miscanthus harvesting


Table 2 miscanthus switchgrass applications selected

Table 2: Miscanthus & switchgrassapplications selected


Economic performance calculations

Total costs of production were calculated

Discounted cash flow methodology

Considered the supply chain in the calculations

includes growing, harvesting, storing, compacting and transporting

Regional variation were accounted

in terms of yield, transportation distance, input costs (labor, fuel, agrochemicals, etc.)

Calculations done for the base case and 2030

Economic performance calculations


Environmental performance calculations

Based on GHG emissions during the production and transportation stages

Direct emissions

Emissions from fuel use in agricultural machineries or transportation equipment

Nitrous oxide emissions from fertilizer use

Indirect emissions

Emissions generated from the bioenergy or biomaterial production during the production and transportation stages

Spreadsheet modeling

Environmental performance calculations


Non food options at farm level agricultural bioenergy options in enfa

Miscanthus and switchgrass production

– an overview

Table 3: Number of application of production stages over the miscanthus and switchgrasslifetimes*

*Assumed to be applicable in all EU regions


Inputs example for miscanthus

20,000 rhizomes/ha 0.16 Euro/rhizome

Fertilization (example for Germany):

N 24 kg/ha/y (incl. atm. deposition)

P 10kg/ha/y

K 91kg/ha/y

Ca 14kg/ha/y

based on 0.27% N, 0.07% P, 0.65% K, and 0.10% Ca of odt and a yield of 14 ton/ha/y

Inputs (example for miscanthus)


Non food options at farm level agricultural bioenergy options in enfa

Sample costs

Table 4: Farm machinery costs for a self propelled big baler harvester

  • Sources: Huisman, 1997; Lazarus & Selly, 2003; EUROSTAT, 2006


Non food options at farm level agricultural bioenergy options in enfa

Key variables/uncertainties for economic performance of miscanthus production:

On-field transportation costs

Farm size

Yield harvest cost factor (YF):

YF = 4.33 Y-0.589where Y = yield (ton/ha)

http://www.pictokon.net

http://blog.futurelab.net


Non food options at farm level agricultural bioenergy options in enfa

tons/ha/yr

0- 5

6 - 10

11 - 15

16 - 20

21 - 25

26 - 30

31 - 35

36 - 40

41 - 45

Yields

  • MiscanMod

  • crop growth model

  • Average yield EU25: Base: 13 tons/ha/yr2030: 16 tons/ha/yr

Figure 1: Field yields of miscanthus in the EU region

  • Source: Stampfl et al., 2006


Non food options at farm level agricultural bioenergy options in enfa

Storing

Storage options are available (costs < 10 Euro/ton) for existing farm and roofed timber buildings

Risk of self heating and dry matter loss during storage

Pelletizing

On-field and on-farm pelleting is expensive

Large scale effect:

3 t/h ≡ 55 Euro/ton (Austria)

10 t/h ≡ 30 Euro/ton (Sweden)

Pelletizing to reduce transportation

costs is unprofitable!

http://www.peer-span.ch


Non food options at farm level agricultural bioenergy options in enfa

http://www.walesbiomass.org

Table 5: Transportation costs

  • Sources: NEA, 2004;

  • IFEU, 2005; Hamelinck, 2004


Non food options at farm level agricultural bioenergy options in enfa

40

2.2

Energy

35

1.9

Labor

1.7

30

Capital

1.4

25

Euro/ton

Euro/GJ

1.1

20

0.8

15

0.6

10

0.3

5

0

0

PL -

PL -

HU -

HU -

UK -

UK -

IT -

IT -

LI -

LI -

2004

2030

2004

2030

2004

2030

2004

2030

2004

2030

Figure 2: Pelletizing costs

PL = Poland; HU = Hungary; UK = United Kingdom; IT = Italy; LI = Lithuania

  • Key uncertainties are the moisture content and the source and price of energy

  • Only attractive in the case of very long distance transport (>700 km) in the case of low energy costs (e.g. in combination with a CHP plant)


Non food options at farm level agricultural bioenergy options in enfa

25

100

20

80

15

Euro/ton

60

10

40

Transportation

5

20

Storage

Production

0

0

IRE

FIN

UKI

LIT

CZE

ITA

BEL

NET

DEN

GER

GRE

HUN

EST

FRA

LUX

SVE

LAT

MAL

POR

AUS

POL

SPA

SVA

SWE

120

100

25

80

20

Euro/ton

15

60

0

10

40

Transportation

Storage

5

20

Production

0

0

IRE

LIT

FIN

ITA

CZE

UKI

NET

BEL

DEN

LAT

EST

FRA

SVE

GER

LUX

GRE

HUN

AUS

POL

SVA

SPA

MAL

POR

SWE

Figure 3: Total production, storage & transportation costs of miscanthus and switchgrass yields

Yield (ton/ha/yr)


Non food options at farm level agricultural bioenergy options in enfa

25

20

15

Yield (ton /ha/y)

10

5

0

Figure 4: Total miscanthus production costs - EU25*

  • * From the field to the farm gate

  • Yields from MiscanMod (Clifton-Brown et al., 2000)

  • Including labor costs/margins


Results economic performance evaluation

Sources:

Energy: OECD/IEA (2006)

Fuels: Well-to-Wheels study (JRC-IES, EUCAR, Concawe, 2006)

Materials: BREW project (Patel et al., 2006)

Assumptions:

Aggregated data

Cradle-to-grave basis

No regional variation

Key variables:

Plant scale, fuel conversion efficiency, interest rate, oil price (reference system)

Results: Economic performance evaluation


Non food options at farm level agricultural bioenergy options in enfa

Ethylene now

Ethylene future

PLA now

PLA future

2500

PTT now

PTT future

2000

1500

Euro/ton

1000

500

0

FINL

IREL

PORT

SLVN

BELG

FRAN

ITAL

SWED

UNIK

POLA

DENM

GERM

LITH

Production costs conventional processes (Euro/ton)

Ethylene

PET

PTT

724

1200

1177

Figure 5: Chemical production costs (Biomaterials)


Non food options at farm level agricultural bioenergy options in enfa

0.04

Estonia

0.04

Germany

0.03

Italy

0.03

Euro/km

0.02

Latvia

0.02

Lithuania

0.01

Slovenia

0.01

United Kingdom

0.00

now

future

now

future

now

future

now

future

now

future

now

future

now

future

SI

SI

SI,

SI,

CI

CI

CI,

CI,

FC,

FC,

FC

FC

FC,

FC,

hyrbrid

hybrid

hyrbrid

hybrid

hybrid

hybrid

hybrid

hybrid

Gasoline

Diesel

Methanol

Hydrogen

0.07

Estonia

0.06

Germany

0.05

Italy

0.04

Euro/km

Latvia

0.03

Lithuania

0.02

Slovenia

0.01

United Kingdom

0.00

now

future

now

future

now

future

now

future

now

future

now

future

CI

CI

CI,

CI,

SI

SI

SI,

SI,

CI

CI

CI,

CI,

hybrid

hybrid

hybrid

hybrid

hybrid

hybrid

FT diesel

Ethanol

DME

Figure 6: Biofuel production costs


Non food options at farm level agricultural bioenergy options in enfa

5.6

100

5.0

90

4.4

80

3.9

70

Transport

60

3.3

Unloading

kg CO2 eq/ GJ

50

2.8

Storage

40

P - Machines production

2.2

30

P - Machines use

1.7

20

P - N2O N fertilizer

1.1

10

P - Fertilizers and agrochem prod.

0.6

0

P - Planting material

0

PL-

PL-

PL-

PL-

HU-

HU-

HU-

HU-

UK-

UK-

UK-

UK-

IT-

IT-

IT-

IT-

LI-

LI-

LI-

LI-

M-B-

M-B-

M-C-

M-C-

M-B-

M-B-

M-C-

M-C-

M-B-

M-B-

M-C-

M-C-

M-B-

M-B-

M-C-

M-C-

M-B-

M-B-

M-C-

M-C-

2004

2030

2004

2030

2004

2030

2004

2030

2004

2030

2004

2030

2004

2030

2004

2030

2004

2030

2004

2030

eq/ton

2

kg CO

Results: Environmental performance evaluation

P = production, PL = Poland - Lubelski, HU = Hungary - Del-Dunantal, UK = United Kingdom - Devon, IT = Italy – Lombardia, LI = Lithuania, M = miscanthus, S = switchgrass, B = baled, C = chopped.

Figure 7: GHG emissions from miscanthus production


Agricultural bioenergy options in enfa

Summary of the different food and non-food bioenergy options:

Yields

Production costs

Labor intensity

Fertilizer use

Energy use

http://www.eubia.org/

Agricultural Bioenergy Options in ENFA


Non food options at farm level agricultural bioenergy options in enfa

Figure 8: Average production yields of different bioenergy options


Non food options at farm level agricultural bioenergy options in enfa

Figure 9: Production costs of different bioenergy options


Non food options at farm level agricultural bioenergy options in enfa

Figure 10: Labor intensities of different bioenergy options


Non food options at farm level agricultural bioenergy options in enfa

Figure 11: Amount of fertilizer use by different bioenergy options


Non food options at farm level agricultural bioenergy options in enfa

Figure 12: Amount of fuel use by different bioenergy options


Non food options at farm level agricultural bioenergy options in enfa

Figure 13: Input data parameters for different bioenergy options


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