Sustainability & LCA, built into the model
Auto-generate a cradle-to-gate carbon and water footprint from the flowsheet you already solved — and, once the plant runs, report from its meters with the same model attributing every tonne to a product.
Auto-built Life-Cycle Inventory
The mass and energy flows an LCA needs are the byproduct of every converged solve — no weeks of manual inventory entry disconnected from the model.
Product Carbon Footprint (ISO 14067)
A cradle-to-gate PCF per kg of product: upstream feedstock + on-site Scope 1 + grid Scope 2, allocated across co-products by mass, energy, or economic value.
Water footprint (ISO 14046)
A second impact category from the same model: consumptive blue water, with cooling-tower makeup and process water read straight from the solved flowsheet.
Six impact categories from one model
Beyond carbon and water: acidification (SO₂-eq), eutrophication (PO₄-eq), photochemical ozone (POCP), and cumulative energy demand — CML-IA characterization, vented species read straight from the solved speciation.
Design-stage CBAM and ESRS E1 estimates
Estimate a new plant's or a process change's CBAM embedded emissions and ESRS E1 figures from the model, before there is a meter to read — as structured JSON, labelled as an estimate.
Reported figures from the meters (Industrial AI)
For reporting, Scope 1 & 2 are computed from the site's metered fuel, power and steam, and the same model attributes them to each product for CBAM — the split a meter cannot make. ESRS E1-6 datapoints, CBAM embedded emissions per good, an activity-data CSV for your ESG platform and a verifier pack, every figure traced to its meter and factor.
Net-zero pathway (MACC)
Rank abatement levers on a marginal-abatement-cost curve ($/t CO₂e avoided), with a net-zero residual + offset and a total cost of ownership including carbon. In Industrial AI the levers are the scenarios engineers approved, priced at the site's measured emissions.
Live footprint via the digital twin
Overlay the plant's live sensor readings onto the model and the footprint tracks the running plant — design-basis vs live carbon and water, the loop no standalone LCA tool closes.
Why this is different
Incumbent LCA tools (SimaPro, GaBi/Sphera) require weeks of manual inventory entry in an application disconnected from any live process model. Because MaximaLabs's simulator, cost estimator, and digital twin all share one unified data model, the inventory is already there the moment a solve converges — and with the twin, the footprint tracks the running plant.
Honest by design
- ✓Upstream factors are a curated, cited subset (EPA eGRID / IEA / DEFRA grids, IPCC AR6 GWP, published feedstock factors) — not a licensed ecoinvent/GaBi database. Override them with your own dataset for a regulated filing.
- ✓Allocation is a methodology choice, not a fact — mass / energy / economic is reported explicitly on every result, never hidden.
- ✓A model's footprint is a design-basis estimate. A CSRD disclosure is assured and a CBAM declaration verified on measured emissions — so reporting starts from the meters (Industrial AI), and the model's role there is to attribute them to products.
- ✓Every CBAM and CSRD document is a structured draft, not a certified or third-party-verified filing — CN codes and installation identifiers are yours to supply, never fabricated, and the CBAM registry submission itself is out of scope.
- ✓The draft feeds the tools that file it: an activity-data CSV for your ESG platform and a verifier pack — not another dashboard to maintain.
- ✓Combustion-CO₂ stoichiometry and the AR6 GWP characterization are pinned exactly in tests; the per-kg footprint is a screening figure, not tuned to hit a published number.
From flowsheet to footprint in one place
Open the Sustainability panel on any solved simulation, pick your functional unit and grid region, and read the per-kg carbon, water, and acidification footprint. For a running plant, Industrial AI's Carbon reporting turns the site's meters into the ESRS E1-6 and CBAM drafts.