Improving drying of wood harvested in 2040
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IMPROVING DRYING OF WOOD HARVESTED IN 2040. Nawshad Haque. Email: [email protected] Personal webpage: http://www.geocities.com/nhaque.geo. Outline. Why & how drying wood? Why drying model? How to simulate & optimise? Some results. Why drying wood important?.

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Improving drying of wood harvested in 2040

IMPROVING DRYING OF WOOD HARVESTED IN 2040

Nawshad Haque

Email: [email protected]

Personal webpage: http://www.geocities.com/nhaque.geo


Outline

Outline

  • Why & how drying wood?

  • Why drying model?

  • How to simulate & optimise?

  • Some results


Why drying wood important

Why drying wood important?

  • Reduce movement & decay in service

  • Better properties

  • Less cost to transport

  • Meet drying & export standard

  • Energy hungry process


Air drying site

Air-drying site


Solar kiln designs

Solar kiln designs


Solar kiln designs1

Solar kiln designs

Solar kiln at Boral Timber’s Herons Creek site, NSW, AUSTRALIA

Recent design of solar kiln by Solar Dryers Australia, Bellingen, NSW


Industrial kilns

Industrial kilns

  • Manipulate temperature, humidity & airflow


Ht drying radiata

HT drying Radiata

  • 40 mm board, 8 m/s, 2 h, 2.4 m wide stack


Dry product

Dry product

  • Structural

  • Appearance/furniture


Typical drying example hardwood

Typical drying example: Hardwood


Optimise drying

Optimise drying

  • Drying Time = f (DB, WB, Vel, Thick)

  • $/m3 cost = f (DT, $Kiln, $Operation)

  • Quality = f (drying stress, uniform final MC)

  • Find minimum $/m3 for a given set of conditions with acceptable quality


Optimised schedule

Optimised schedule


Procedure radiata

Procedure (Radiata)

  • Harvesting age: 30 years

  • Log diameter: 65 cm

  • Board: 100mm x 50mm

  • Board initial MC: 162%

  • Final target MC: 6%

  • High Temp: 120/70°C, at 7 m/s


Procedure radiata1

Procedure (Radiata..)

  • Tree age: 26, 35 years

  • Sap EW MC: 180 to 200%

  • LW Density: 520 to 420 kg/m3

  • Permeability increase or decrease: ×10 to base case;

  • Shrinkage: ±10%, high & low


Some results mc

Some results (MC)


Effect of permeability

Effect of permeability


Effect of shrinkage

Effect of shrinkage


2d single board model

2D Single-board model

  • 100x50 mm board, ring number- 18 & 24, sap early & late wood

  • High Temp 140/90°C, at 8 m/s


Procedure blackbutt

Procedure (Blackbutt)

  • Eucalyptus pilularis

  • Board thickness: 43 mm

  • Initial MC: 44%; Final MC: 18%

  • Basecase reference diffusion coefficient: 1.145×10-5 m2/s;

  • Solar kiln sched (max<50°C)

  • Case 1 diffusion: +30%


Effect of diffusion euc

Effect of diffusion (Euc)


Effect of diffusion euc1

Effect of diffusion (Euc)


Conclusions

Conclusions

  • Effect of parameters assessed:

  • Age, sapwood initial MC, density - small

  • Permeability - high impact

  • Shrinkage & Diffusion coefficient - significant below FSP


Future challenges

Future challenges

  • Validated models for Hardwood & Softwood

  • Reliable objective function necessary

  • Find optimum process for particular wood type (including variability)


Application

Application

  • Benchmarking

  • What-if scenario analysis for future wood resources

  • Sensitivity analysis for expensive or cheap:

  • Kiln

  • Energy

  • Operation costs


Cdk hardware simulation

CDK Hardware simulation


Nawshad haque

CSIRO Continuous Dryer

Green

timber

Dry

timber

Courtesy: Richard Northway


Future tech

Future tech

  • Superheated steam drying

  • Continuous Drying Kiln

  • In-kiln MC sensor development (MKS), integrated compact systems

  • Energy & emission

  • Solar drying, vacuum drying for some species

  • Microwave based drying systems


Dryspec

DRYSPEC


Nawshad haque

Web: www.ensisjv.com

Thank You

Questions?

Email: [email protected]

Personal website: www.geocities.com/nhaque.geo


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