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    Multi-purpose crops and creativecombinations of valorisation

    trajectoriesthe case of Miscanthus x giganteus

    Bio-energy Production Europe 19-21/03/2012

    Presented by Veerle Van linden

    MSc of Viooltje Lebuf (June 2011)

    Promotors: Prof. dr. ir. Ludwig Lauwers, Dr. ir. Veerle Van linden

    Institute for Agricultural and Fisheries ResearchTechnology and Food Science Unit

    www.ilvo.vlaanderen.beAgriculture and Fisheries Policy Area

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    Why multi-purpose crops?

    Multi-purpose crop: Multi-product crops

    Multiple land-use Combination of VTs1, different approach to

    bio-energy and bio-based products( unidirectional)

    Implementation on-farm

    1VT = valorisation trajectory

    2

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    How can a farmer in Flanders use his/her

    crops for multiple purposes, by combiningdifferent valorisation trajectories amongstwhich bio-energy and bio-based products?

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    Research question

    Integrating Food Feed - Fuel Fibre functionsHow can typical crops contribute to the diversification of

    agricultural activities?

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    4

    Qualitative

    Cultivationtechnique fiches +generic scheme

    Critical factors for

    success (CFS)

    Quantitative

    Miscanthus as casestudy

    Stochasticity+uncertain

    parameters Linear programming

    Combining VTs

    Feedback CFS

    Result

    Feasability VT onfarm?

    Positive effectcombination?

    Important CFS?

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    Cultivation technique fiches +

    generic scheme

    Critical factors for success

    Qualitative research

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    First step in research:

    line up different VT of crops in Flanders in a

    comprehensive way

    look for similarities between different crops

    Create a Generick scheme Innovative use of existing crops

    Assess the potential use of new (newly introduced) crops

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    Cultivation technique fiches + Generic scheme

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    PlantprotectionWater

    EnergyOrganicmatter

    CROP

    Starch, sugar, oilcontaining component

    Vegetative, non-lignified component

    Vegetative, lignifiedcomponent

    Bio-based products:green chemistry

    Food industry

    Feed industry

    Bio-energy Bio-energy Bio-energy

    ResidueResidue Residue

    Fermented / direct

    Bio-based materials:construction, paper, textile...

    Feed industry

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    In general: logistics, cultivation techniquerelated, ecological

    Specific: co-fermentation, combustion,feed

    Importance of factors varies

    CFS can become less restrictive withimproved technology

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    Critical factors for success (CFS)

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    Miscanthus as case study

    General methodResults for contract production

    Results for combustion

    Results for a combination of trajectories

    Quantitative research

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    C4-grass, East-Asian origin

    Sterile hybrid, grown by rhizomes

    15-20 years on field

    yearly yield (from 2nd year) in spring time

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    Miscanthus x giganteus

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    1. Variable production stochasticity,

    2. Uncertain parameters assumptions

    3. Production theoretical optimisation1 without opportunitycosts

    4. With opportunity costs : linear programming with datafrom representative farms+ uncertainties via sensitivityanalyses

    5. Identification of CFS by. sensitivity analyses

    1cultivation costs versus return on farm. The loss of benefits due to thereplacement of other crops by Misc. is not taken into account.

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    Methodology quantitative research

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    Contract shortage (fines) and excess production (lower price)

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    0.058

    0.06

    0.062

    0.064

    0.066

    0.068

    0.07

    0.072

    0 0.02 0.04 0.06 0.08 0.1 0.12

    B

    0.154

    0.156

    0.158

    0.16

    0.162

    0.164

    0.166

    0.168

    0 0.02 0.04 0.06 0.08 0.1 0.12

    D

    Excess production price(/kg DS): -0,05 0 0,025 0,05 0,075 0,1

    Equilibriump

    ricewithincontract

    (/kgDS)

    Fine (/kg DS)

    Loamy soilSandy soil

    Results for contract production:

    fibre board industry (VT1)

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    CFSs for VT1

    Cost of rhizomes

    0.064

    0.066

    0.068

    0.07

    0.072

    0.074

    0.076

    0 0.05 0.1 0.15

    B

    Yield

    0.058

    0.06

    0.062

    0.064

    0.066

    0.068

    0 0.02 0.04 0.06 0.08 0.1 0.12

    B

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    Yield Yield+10%

    Equilibriump

    ricewithincontract

    (/kg

    DS)

    Cost rhizomes (/piece): 0,35 0,25 0,15

    Loamy soil Loamy soil

    Fine (/kg DS) Fine e (/kg DS)

    Equilibriump

    ricewithincontract

    (/kg

    DS)

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    Different from VT1: fine & excessproduction

    Cost for storage ( 3/ton DM)

    Investment biomass burner (40 000)

    Pice: savings on fuel (0,39425/L) Only feasible in loamy soils

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    Results for valorisation without contract:

    combustion (VT2)

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    CFSs for VT2

    Storage cost Cultivated area loamy soil (ha)

    3/ton DS 4,58

    10/ton DS 4,58

    20/ton DS 4,58

    30/ton DS 0

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    Investment Cost burner Area clay soils (ha) Area sandy-loamy

    soils (ha)

    Area sandy soils

    (ha)

    3000 11806 4,01 4,95 0

    4000 18750 4,01 4,95 0

    5000 25694 4,01 4,95 0

    6000 32639 4,01 4,95 0

    7000 39583 0 0 0

    Cost for storage

    Investment biomass burner

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    CFSs for VT2

    Fuel price (/l) Value of 1 ton DM

    of Miscanthus

    (springtime) ()

    Area on clay soils

    (ha)

    Area on sandy loam

    soil (ha)

    Area on sandy soil

    (ha)

    0,40 0,1738 0 0 0

    0,50 0,2173 4,14 4,95 0

    0,60 0,2607 4,14 5,13 6,63

    0,70 0,3042 4,14 5,13 7,00

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    Fuel priceStookolieprijs

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    Equilibrium price contract production

    Equilibrium price is more stable, insensitive to variationsin fine

    Farmer does not depend on industry for valorisation of

    excess production

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    0.04

    0.06

    0.08

    0.1

    0.12

    0.14

    0.16

    0.18

    0 0.02 0.04 0.06 0.08 0.1

    EquilibriumP

    ricewithincontract(/kg

    DM)

    Fine for shortage (/kg DMS)

    Polders

    Leemstreek

    Zandleemstreek

    Zandstreek

    Results combination of trajectories(VT1 + VT2)

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    First step = systematic representation of data =

    QUALITATIVE whiche VTs are possible, whichcrop components are valuable, what are CFS? Second step= QUANTITATIVE stochasticity Uncertain basis data Miscanthus uncertain

    numbers graphs Fact: trends in graphs & influence of CFS Combining contract production with on-farm

    valorisation increases independency andcompetitively of farmer

    Research of different combinations is possible:fermentation, pelletisation of chips, use in stablesas bedding material,...

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    General conslusions

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    thank you for your attention!

    Institute for Agricultural and Fisheries ResearchTechnology and Food Science Unit

    www.ilvo.vlaanderen.beAgriculture and Fisheries Policy Area