Calculation of coke production amount of coking device
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Expert guidance: How to calculate the amount of coke produced by the coking device?
The processing capacity of a certain delayed coking unit is 3,300 tons/day (production in one furnace and two towers), the residual carbon value of the raw material is 14%, and the coking cycle is 24 hours. Estimating coke production according to Martin's method, solution: Coke yield%=2+1.6×raw material residual coke value=2+1.6×14=24.4% Coke yield=3300×24.4%=805.2t
"Delayed Coking Process and Engineering" writes this: Coke yield (%) = 1.6 × raw material residual carbon value (%) If you want exact data, it is best to pass delayed coking medium-scale tests or take it from industrial units.
Measure the coke tower void height during decoking in actual production, based on (coke tower volume - void height volume)* Coke density/hourly processing capacity * Burning time. Most accurate.
The third floor mentioned a quick estimation method, which is very practical.
We mainly estimate the coke amount based on the coke tower gauge results, and then make a table to quickly calculate the coke amount based on the gauge height every day. The key is to calculate the density of petroleum coke, generally 0.85~0.86t/m3 is selected.
Generally, the Conn's carbon residue value of the raw material is measured first, and the amount of coke produced = the amount of oil in the raw material.* Kang's carbon residue value * 1.6
Now that the properties of the raw materials have deteriorated, the residual carbon has increased and the coking coefficient has also become low, normally around 1.4-1.6. The target product of the project I am working on now is coke, and the residual carbon content of the raw material is 9%. I have set the coking coefficient to 2.0, which may be a bit risky.
Why didn't anyone answer? Calculation of coke production in catalytic device
General quick estimate = residual carbon value* (1.5-2.0).
These formulas are related under certain conditions and cannot be applicable to all situations. It is best to perform dynamic fitting based on the production statistical data of the device to obtain the corresponding relationship expression, in order to estimate the productivity of the device.