Kokogļu iznākuma kalkulators

Estimate kokogles, fines, ash, un residual loss no dry wood svars, krāsns type, target kokogles grade, un feedstock group.

model ir meant par planning. It helps you compare krāsns options, feedstock mixes, un kokogles grades bez leaving pārlūkprogramma.

Dry wood basis Krāsns-aware output Global units Shareable setup
Jump lai paraugi
Current profile
Rezultāti

Calculations stay iekš pārlūkprogramma.

Kokogles
Estimated range
Fines
Koplietot of dry wood
Ash
Assumptions

Drošības piezīmes

  • This calculator ir par planning only. It ir not guarantee, certificate, vai compliance judgment.
  • Follow your krāsns drošība rules, ventilation procedure, un fire control practice first.
  • Izmantot dry wood svars, not wet vai freshly cut wood svars.
  • Compare jobs ar same dry basis, unit, krāsns type, un feedstock group.

What this rīks estimates

Solid output no dry wood

Start ar oven-dry vai planning dry wood svars un get kokogles, fines, ash, un residual loss iekš one view.

Krāsns un grade aware

Change krāsns type un target kokogles grade lai see how recovery un fines change.

Ready par global izmantot

strādāt ar kg, lb, t, US ton, vai UK ton un koplietot same setup ar URL.

Kā lietot

  1. Ievadīt dry wood svars first un choose working unit.
  2. Pick krāsns type, target kokogles grade, un feedstock group.
  3. Review kokogles, fines, ash, solid recovery, un residual loss.
  4. Copy result vai koplietot URL when you need same setup again.

Paraugs cases

Ievade / Rezultāts

Brick krāsns, standard kokogles, mixed feedstock

Ievade Dry wood 1,000 kg / brick krāsns / standard kokogles / mixed feedstock

Rezultāts Kokogles 223 kg, fines 18 kg, ash 10 kg, residual 750 kg

Retort krāsns, white kokogles, hardwood

Ievade Dry wood 2,000 lb / retort krāsns / white kokogles / hardwood

Rezultāts Kokogles 485 lb, fines 45 lb, ash 34 lb, residual 1,436 lb

Planning basis un assumptions

Dry wood svars ir normalized lai kg first, then converted back lai selected output unit.

Base solid recovery = dry wood × krāsns factor × grade factor × feedstock factor.

Kokogles, fines, un ash ir split no solid recovery ar grade-based ratios ar small krāsns un feedstock adjustments.

Residual loss = dry wood - (kokogles + fines + ash).

Unknown selections widen range so estimate stays conservative.

Formulas

Dry wood svars ir normalized lai kg first.
Base solid recovery = dry wood × krāsns factor × grade factor × feedstock factor.
Kokogles = base solids × kokogles koplietot.
Fines = base solids × fines koplietot.
Ash = base solids × ash koplietot.
Residual = dry wood − (kokogles + fines + ash).
Range = value × (1 ± spread).

Glossary

Dry wood svars

dry-mass basis used par calculation.

Fines

Small fragments un powder that ir not counted kā usable lump kokogles.

Ash

Inorganic residue that remains after carbonization un cooling.

Residual loss

Gas, tar, steam, un other losses that do not remain kā solid product.

Solid recovery

sum of kokogles, fines, un ash recovered no dry wood input.

Range

conservative high-low band based uz selected krāsns, grade, un feedstock.

Biežāk uzdotie jautājumi

Why does same wood give different results?

Krāsns type, target grade, un feedstock group change recovery profile un split between kokogles, fines, un ash.

Var I izmantot wet wood svars?

No. calculator ir built uz dry wood svars. If you only know wet svars, convert it before using rīks.

Ir values exact?

No. They ir planning estimates. Moisture, species, carbonization control, packing, un cooling losses var all change result.

Do you support tons un pounds?

Yes. same model works iekš kg, lb, t, US ton, un UK ton.

What happens when I choose Unknown?

calculator still works, but range widens so result stays conservative until you var confirm condition.

Piezīmes

  • This calculator ir par planning, not certification vai guaranteed output.
  • Dry wood means basis you izmantot par planning, not freshly cut vai green wood.
  • Compare jobs ar same unit basis so numbers stay meaningful across sites un countries.
  • Your inputs, lokāls state, un shareable query stay iekš pārlūkprogramma unless you copy them out.