batch-cstr-pyrolysis

CSTR and batch reactor modeling for biomass pyrolysis

https://github.com/wigging/batch-cstr-pyrolysis

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.4%) to scientific vocabulary

Keywords

biomass fluidized-bed pyrolysis
Last synced: 11 months ago · JSON representation ·

Repository

CSTR and batch reactor modeling for biomass pyrolysis

Basic Info
  • Host: GitHub
  • Owner: wigging
  • Language: TeX
  • Default Branch: main
  • Homepage:
  • Size: 27.3 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Topics
biomass fluidized-bed pyrolysis
Created almost 5 years ago · Last pushed about 4 years ago
Metadata Files
Readme Citation

README.md

CSTR and batch reactor modeling for biomass pyrolysis

This repository contains Python code for running batch and continuous stirred tank reactor (CSTR) models to estimate thermochemical biomass conversion at fast pyrolysis conditions. Results from the reduced-order models are compared to bubbling fluidized bed reactor experiments using various biomass derived feedstocks. This work was supported by the Feedstock-Conversion Interface Consortium (FCIC).

Data

The data folder provides Cantera kinetic mechanism files (.cti) for biomass pyrolysis. This folder also contains the data/feedstocks.json file which provides parameters related to each feedstock.

Diagrams

The diagrams folder includes .drawio files. These files can be edited at https://app.diagrams.net which is an online flowchart and diagram software.

Source code

The src folder contains all the Python code for the reactor models. Files prepended with run_ can be executed from the command line. See the comments in each file for more information. Examples of running the code in a terminal are given below.

```bash

Run a batch reactor model for a single feedstock

$ python src/runbatchsingle.py

Run a batch reactor model for all the feedstocks and compare results

$ python src/runbatchall.py

Determine the biomass composition for a single feedstock

$ python src/runbiocompsingle.py ```

Documentation

Documentation for this project is generated with LaTeX. The tex folder contains all the LaTeX files along with the associated figure files. See the tex/main.pdf to read the documentation or click here to view the PDF online.

Citation

To cite this work, use the "Cite this repository" feature available on the right side of this repository page or use the reference text given below.

Gavin Wiggins. CSTR and batch reactor modeling for biomass pyrolsyis. GitHub repository. Available at https://github.com/wigging/batch-cstr-pyrolysis.

Owner

  • Name: Gavin Wiggins
  • Login: wigging
  • Kind: user
  • Location: Knoxville, TN
  • Company: Oak Ridge National Laboratory

Research at ORNL. Developer of the Un1ts Mac app. Maker of open-source projects such as chemics, genja, biocomp, and swift-macos.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Wiggins"
  given-names: "Gavin"
title: "CSTR and batch reactor modeling for biomass pyrolysis"
version: 21.11
date-released: 2021-11-18
url: "https://github.com/wigging/batch-cstr-pyrolysis"

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels