classification of lignocellulose raw materials regarding selected … · 2014-08-23 · method part...

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Classification of lignocellulose raw materials regarding selected material properties and regarding the requirements of three competitors to reveal options for alternative use Johann Trischler Linnæus University, Växjö-Sweden 1

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Page 1: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Classification of lignocellulose raw materials

regarding selected material properties and

regarding the requirements of three competitors to

reveal options for alternative use

Johann TrischlerLinnæus University, Växjö-Sweden

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Page 2: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Content

• Introduction

– Background

– The considered competitors

– Raw material

• Methods

– Relative method

– Cluster analysis

• Results– Expression of competition

• Conclusion

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Page 3: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Background I

• Competitors: particleboard production, pulp and papermaking, thermal energy recovery

• Increase of competition on the raw material

• Variation of regional access of raw material

• Other sources? - residues/ by-products

• Substitution of wood by monocotyledons

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Page 4: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Background II

Lowering competition

• Using the same raw materials

– More efficient use

– Cascade use (down-, upgrading)

– Recycling

• Using alternative raw materials

– Raw material diversification

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Page 5: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Aim

Searching an expression of competition which

supports evaluating alternative raw materials

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Page 6: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Considered competitors I

Particleboard producing industry

• Relationship between the raw material and board

– Density, stiffness, strength, dimensional stability, internal bond strength, surface strength, appearance

• Influence on additives and production process

– Dimensional stability, internal bond strength, surface strength, colour

• Other influences on the board

– Design of the board, design of the particles

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Page 7: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Considered competitors II

Pulp and papermaking industry

• Dimensions of the fibres

– Slenderness ratio

– Flexibility coefficient

– Runkel ratio

• Amount of fibres

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Page 8: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Considered competitors III

Thermal energy recovery industry

• Moisture content

• Calorific value

• Proportions of fixed carbon and volatiles

• Ash or residue content

• Alkali metal content (ash melting point)

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Page 9: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

The raw material

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Criterion Unit Explained byLimitations/Advantages

Particleboard

Density g/m3 Mass at MC=15%Volume

X ~ weightedaverage

Wettability ° Water drop contact angle X < 70°

pH-value - pH X > average

Amount of fibres

% Percentage of fibres X > average

Energy

Calorific value MWh/m3 Mass at MC=15%Volume

X < average

Ash content % In percentage of mass X < average

Ash melting point

°CChemical composition

(Ca+Mg : K+Na)X < average

Pulp andpaper

Slenderness-ratio

-Length of fibre

Diameter of fibreX > 70

Flexibility coefficient

-Lumen diameterDiameter of fibre

X > 70

Runkel-ratio -2 * cell wall thickness

Lumen diameter of fibreX < 1.25

Page 10: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Method part I

The relative method

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Method part II

The relative method

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0.0

0.2

0.4

0.6

0.8

1.0

0.0 0.2 0.4 0.6 0.8 1.0

Pu

lp &

Pa

pe

rma

kin

g

Energy

Picea abies Pinus sylvestris Abies alba

Larix spp. Pseudotsuga menziesii Betula spp.

Alnus glutinosa Populus nigra Populus tremula

P. tremula x p. tremuloides Salix (short rotation) Fraxinus excelsior

Fagus sylvatica Quercus spp. Tilia spp.

Acer platanoides Paulownia spp. Miscanthus spp.

Phalaris arundinacea Triticum spp. (straw) Brassica napus (straw)

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Method part III

Cluster analysis

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Page 13: Classification of lignocellulose raw materials regarding selected … · 2014-08-23 · Method part II The relative method 11 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ng Energy

Results

An expression of competition

• Highest competition: medium density, high amount of fibres– Relative method: at least 80% for one competitor and at least 50% for the others

– Cluster analysis: Pinus sylvestris to Pseudotsuga menziesii

• Medium competition: medium/low density, fast growing– Relative method: between 50% and 80% for all competitors

– Clyster analysis: Populus tremula to Populus nigra

• Low competition: high density, small & low amount of fibres– Relative method: more than 30% for all competitors but for one lower than 50%

– Cluster analysis: Fagus sylvatica to Quercus spp.

• Lowest competition: high differences compared to wood– Relative method: for one competitor lower than 30%

– Cluster analysis: not included (monocotyledons)

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Conclusion

• An attempt to express competition of raw material among particleboard producing-, pulp and papermaking- and thermal energy recovery industry

• Relative method: Comparing the species based on relativity should show the suitability of the raw material

• Cluster analysis: Distances between wood species is smaller than between wood and monocotyledons

• Highest competition on coniferous raw material, lowest competition on monocotyledon raw material

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THANK YOU FOR YOUR ATTENTION

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Johann Trischler

Linnæus University

[email protected]