Process emissions, capital sequencing, and a five-KPI screening framework for food and beverage manufacturers — three reference plants, five lever families, a marginal abatement cost curve, and two worked case studies with full financing math.
Food and beverage processing is heat-dominant, fragmented across eight to ten sub-sectors, and under-mapped relative to steel or cement. This report sets out the decarbonization toolkit in operational, not aspirational, terms — connecting plant-level energy data to an emissions baseline, then to a marginal abatement cost (MAC) curve, then to a financing plan that captures every available revenue layer.
Through two worked case studies it shows exactly how operating-cost savings, tax credits, fuel-side credits and carbon-price revenue combine to determine which projects clear an investment committee — and why the order in which levers are deployed matters more than the headline carbon price.
Full contents
A sample from inside
Case 1 — on-site anaerobic digestion + bio-trigeneration at a 100 kt dairy plant: the plain MAC of CAD $215/tCO₂e falls to a net −$22/tCO₂e once the 30% Clean Technology ITC, OBPS carbon-price revenue and CFR Gaseous Class credits are stacked on an optimized −32 gCO₂e/MJ lifecycle pathway. The full report shows every layer, the sensitivity grid, and the conditions that make it bankable.

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On-site biogas + bio-trigeneration at a 100 kt dairy plant moves from a plain MAC of CAD $215/tCO₂e to a net −$22/tCO₂e once the 30% Clean Technology ITC, OBPS revenue and CFR Gaseous Class credits are stacked on an optimized lifecycle carbon intensity — and loses money without a registered CFR pathway. An industrial heat pump + hybrid condenser at a 90 kt meat plant lands at a net MAC of $72/tCO₂e on Quebec's clean grid but $285/tCO₂e in Saskatchewan, because the Scope-2 penalty on a coal-heavy grid erodes the gas savings.
The recurring finding
The binding constraint is rarely the technology, and rarely the headline carbon-price level — it is the order in which levers are deployed and the multi-year readability of the full revenue stack to a capital-allocation committee. Sequence efficiency first, low-temperature electrification second, biogas third, strategic plays fourth; reverse that order and 20–30% of cost-effective abatement is stranded.
For how this maps onto a validated science-based target, see the companion SBTi target-setting briefing for food and beverage.
TerraNova ingests facility operations data, allocates emissions to each process step, screens more than fifty levers against the local policy stack, and returns a finance-grade investment plan — ranked portfolio, deployment schedule, NPV/IRR by lever, and year-by-year compliance position.
SBTi Target Setting for Food · Food Decarb Series index · Decarb Series (Pulp & Paper)
TerraNova turns food and beverage operations data into a finance-grade roadmap — emissions hotspots, a marginal abatement cost curve, NPV/IRR by lever, and policy-aware economics across every revenue layer.