BIochar_Sim

Techno-economic simulation of a septage-to-biochar processing hub — a physics model of the dewatering/pyrolysis pathway coupled to a financial model, with sensitivity analysis over the drivers that decide whether the hub pencils out.

What it does

• Physics — dewatering and thermal-conversion process model (septage_model/analysis/physics_appendix.py, docs/physics_appendix_*.md)
• Economics — pathway scenarios and hub optimization (analysis/pathway_scenarios.py, analysis/hub_optimization.py)
• Sensitivity — 2-D net-operating-income surfaces over the key levers (tipping fee, co-feed volume, char price, labor); outputs in sensitivity/
• Vendor intake — structured vendor-parameter submission + validation workflow under docs/vendor/

python run.py        # run the model

Example sensitivity output (net operating income vs. two drivers):

• tipping_fee_vs_cofeed_volume_tds_noi.png
• tipping_fee_vs_char_tier2_price_noi.png
• cofeed_volume_tds_vs_labor_factor_noi.png

Stack

Python · pyproject.toml packaging · CI via GitHub Actions · matplotlib

Status

Working model with documented conventions, an FMEA, and a go/no-go report under docs/. Parameters are configuration-driven.