https://github.com/wigging/low-order-reactor
CSTR modeling approach for fluidized bed reactors
https://github.com/wigging/low-order-reactor
biomass fluidized-bed pyrolysis
Last synced: about 1 year ago
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CSTR modeling approach for fluidized bed reactors
- Host: GitHub
- URL: https://github.com/wigging/low-order-reactor
- Owner: wigging
- License: mit
- Created: 2021-10-29T14:43:55.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-10-29T14:44:42.000Z (over 4 years ago)
- Last Synced: 2025-03-30T23:51:14.323Z (about 1 year ago)
- Topics: biomass, fluidized-bed, pyrolysis
- Language: Python
- Homepage:
- Size: 22.5 KB
- Stars: 5
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Low-order reactor models
CSTR modeling approach to estimate fast pyrolysis yields from bubbling
fluidized bed reactors.
## Folders
The `data/` folder contains files related to experiments or data obtained from
literature. Particle size distribution data taken from Figure 2 in the
Carpenter 2014 paper is available in `05mm.csv` (0.5 mm sieve) and `2mm.csv` (2
mm sieve). Characteristics of the particles (surface area, volume) are provided
in `sizeinfo.txt`.
```
data/
|-- 05mm.csv
|-- 2mm.csv
|-- sizeinfo.txt
```
## Files
`cstr.py` is reactor model for one or more CSTR reactors in series at
steady-state conditions.
`cstr_dist.py` is CSTR model accounting for a distribution of particle sizes.
`cstr_rtd.py` is CSTR model and RTD model for different number of stages.
`cstr_static.py` is CSTR model accounting for a single particle size.
`cstr_taug.py` compares tar yields for different gas residence times.