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Impact of qualitative management of feeding wood mix on the process and pulp quality

Fibria Celulose S.A., Brazil Vitória-ES, Brazil May 27th, 2015

Patrícia Nunes Pignaton Francisco Costa Neto

Impact of Qualitative Management of Feeding Wood Mix on Process and Pulp Quality

Patrícia Nunes Pignaton

Francisco Costa Neto

7th ICEP Vitória-ES-Brazil May 27th 2015

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

INTRODUCTION

This presentation summarizes the experience over the last 3-years on qualitative wood supply management at Fibria Aracruz Unit - a complex of three pulp Mills. The aim of this management is to supply the Mill with the lowest wood density standard deviation feasible and consequently to reduce variability on process and pulp quality. Fibria’s Operations Fibria Aracruz Unit

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

INTRODUCTION

WHY to implement a qualitative management of the feeding wood? Wood is the key raw material in terms of pulp quality, production cost and process productivity. So industry strategy in terms of wood quality will certainly changes with time! Industry continuous searching process for the “best” wood supply ...

• researches for the best “pulpability” wood
• market demands
• land related issues
• cost reduction strategies
• new projects installations, etc

... impacts the forestry density

• variability. As a consequence:
• a feeding wood mix with high density

standard deviation impacts process selectivity (different density demands different strategies at the impregnation and cooking process)

• a feeding wood mix that changes

significantly within a short time results in process and consequently quality variability.

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

INTRODUCTION

Density Prediction Model – the basis for the qualitative management Wood density can be predicted by a model that considers the interaction of genotype x growing environmental x age.

Genotype Environmental Harvesting age Density predicted control

Density Prediction Model Inputs

Density predicted information available for wood supply planning area

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

The Mill Experience

Qualitative management of feeding wood mix – Fibria Celulose SA – Aracruz Unit

Premisses:

• key wood quality parameter: Density

standard deviation – weekly supply each Mill with an SD lower than the SD of wood mix

• Wood harvested classified in 3 different density

classes (low, medium, high)

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

The Mill Experience

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

The Mill Experience - RESULTS

Feeding wood mix Density SD average reduction of 10 points

before After implementation before After implementation

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

The Mill Experience - RESULTS

Confirmed Process Selectivity x Density SD Process selectivity is considered an indicator for process yield and pulp quality, since it confirms the degrees of fibers preservation. It can be calculated as a ratio between pulp viscosity and digester kappa number.

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

The Mill Experience - RESULTS

WSC – Wood Specific Consumption – a reduction of 3% (mass based)

Before After implementation

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

The Mill Experience - RESULTS

Pulp quality – tensile improves 10% when decreasing 30% of density SD

(compared at the same digester kappa level and similar density level)

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

Chalenges for the Quality Management operation

• Complex control for wood supply area: hard planning but none extra cost on operations (a

premisse)

• Wood density model continuous update

The Mill Experience - RESULTS

7th ICEP I Vitória-ES, Brazil I May 27th ■ 2015

CONCLUSIONS

• All the efforts on reducing standard deviation of feeding wood mix result in a

noticeable positive impacts on process selectivity and stability, quality and wood cost.

• The model is consolidated as a successful and useful tool for the wood supply area
• Control is complex but feasible and demands a high compromising from the forestry

area and a good partnership and alignment between industry and forestry areas.

• The next steps for evolves on this quality management:
• implementation of the on going density model revision
• for 2016 the concept of low SD density of wood supply is being included as a

restriction at the medium and long term forestry planning simulation system, in

• rder to generate an annually harvest plan aligned with this successful strategy

and consequently demanding less efforts over the short term wood supply area

• evolves even more on this process in order to achive a SD as close as possible to

the ideal number of 25

REFERENCES

CLAUDIO-DA-SILVA, JR.E., A influência da densidade básica da madeira de híbridos de Eucalyptus Grandis em suas características químicas e propriedades de polpação e do papel, 18º Congresso Anual da ABCP - Semana do Papel, São Paulo, Brasil, (1985). Colodette J.L., et al, The Importance of Eucalyptus Wood Density and Chemisty on Eucalyptus Clone Selection, (2015). DOWNES, G.M. et al., Sampling plantation eucalypts for wood and fibre properties, CSIRO, Melbourne, Australia, (1997). QUEIROZ, S. C. S. et al, Influência da densidade básica da madeira na qualidade da polpa Kraft de clones híbridos de Eucalyptus grandis x Eucalyptus urophylla. Revista Árvore, v. 28, n. 6, p.901- 909, (2004). SILVA, J. et al, Importância do eucalipto para a indústria de celulose no Brasil. Revista de madeira, Curitiba, p.90-92, Suplemento especial, (2001). THIERSCH, C.R. et al. Uso de modelos matemáticos na estimativa da densidade básica da madeira em plantios de clones de Eucalyptus sp. Revista Cerne, Lavras, v. 12, n. 3, p. 264-278, jul./set, (2006).

THANK YOU!

pnunes@fibria.com.br fcn@fibria.com.br

Acknowledgements To all Fibria professionals involved and responsible for the implementation and operation

• f the Wood Quality Management (Forestry: Luiz Geraldo, Francisco, Bruno and

Amarildo; Industry: Wanderlei , Cristiano and Edson Hélio).