TOTAL liquid waste mass (e.g., wastewater, purge).
t/FU
TOTAL gas waste mass vented/treated (not product gas).
t/FU
Make-up water, moisture, solvents counted as water-equivalent.
t/FU
Only use if you explicitly want air mass tracked (often excluded in gate balances).
t/FU
Water leaving as vapor (drying, vents, evaporation).
t/FU
For mass balance only. Does NOT imply fossil GHG without carbon accounting.
t/FU
Chemicals, catalysts, solvents etc. screening term.
t/FU
Untracked outputs not covered above screening term.
Energy + Logistics (per FU)
km
kg/(t·km)
kWh/FU
kg/kWh
MJ/FU
Set 0 if not used.
kg/MJ
Replace with your factor (fuel/steam source).
kWh/FU
Credit uses Grid EF.
MJ/FU
Credit uses Heat EF.
Waste Treatment Emission Factors
kg/t
kg/t
kg/t
Interaction + caveats
• Screening-level. Document factors and credit assumptions. Do sensitivity/uncertainty checks.
• Ctrl/⌘+Enter runs the model on the active tab.
• Emissions breakdown shows credits as negative contributions.
• Energy chart uses kWh-equivalent for heat (1 kWh = 3.6 MJ) for visualization only.
Emissions breakdown (kg CO₂e/FU)
Emissions breakdown table (accessible)
Category
kg CO₂e/FU
Mass balance (t/FU)
Only tonne-based flows. Quick check, not a full elemental balance.
Energy (kWh-eq/FU)
Heat converted to kWh-equivalent using 1 kWh = 3.6 MJ for plotting.
TEA Inputs
years
%/yr
$
$/yr
$/yr
$
$
Cashflow
Sensitivity analysis (one-way tornado)
Varies one parameter at a time around the current inputs. Default uses ±% perturbation.
Run LCA/TEA first for the chosen metric.
Choose what the tornado chart shows.
Example: 20 = ±20% around baseline.
Sorted by absolute impact.
Parameters included
Notes
One-way sensitivity does not capture parameter correlations or nonlinear interaction effects.
For uncertainty, assign distributions and run Monte Carlo.
Integrated Results
Quick notes
Screening tool only. Biggest uncertainties often: waste treatment EFs, energy EFs, and displacement/credit assumptions.
For decisions, use documented sources and formal uncertainty (e.g., distributions + Monte Carlo).