NET ZERO Special Focus August/September 2026 www.pwemag.co.uk Plant & Works Engineering | 33 don’t buy. McKinsey found that by 2030 companies can, on average, cut 20 to 40% of emissions while also reducing production costs. Lead with the projects that cut cost and carbon together, then use the savings to fund the harder ones. Where the technology earns its keep Three capabilities turn that roadmap from aspiration into something you can deliver. Process engineering: design the carbon out before the line exists. Most of a process’s lifetime energy is locked in the moment it’s engineered. When you define equipment, cycle times and material flows, you’re setting the energy bill for years. If carbon is a visible variable at that stage— sitting beside cost and throughput—engineers design more efficient processes almost as a matter of course. The virtual factory: test the change in software first. Build a virtual model of the line, run the proposed change inside it and watch what happens to energy, throughput and cost together. You can test an electrified process, a new layout or a different schedule without touching a single bolt on the floor. In one documented case, a company cut energy costs by more than $100 million a year and emissions by 200,000 metric tons. A digital model also solves a problem the regulations are about to create: the same product built at two plants has two different footprints. A virtual factory lets you account for that honestly, plant by plant, and keep the numbers current as the real operation changes. That’s the difference between a footprint you can defend to an auditor and one you can’t. Industrial AI: turn the data into decisions Instrumenting a plant produces more data than any person can watch. AI models can predict high-consumption events, shift energyintensive operations into cleaner windows and flag equipment drift before it shows up on the bill. The IEA estimates widespread AI adoption could deliver around 8% energy savings in light industry by 2035, with plantlevel case studies running higher. AI works best when it sits on top of the digital model, closing the loop between what you planned, what the plant is doing and what you do next. These three reinforce each other. Process engineering decides what to build, the virtual factory tests it before you commit and industrial AI runs it well once it exists. And what used to be a toolkit for only the largest manufacturers is fast becoming accessible to the mid-market. If you assumed this was out of reach, it’s worth checking that assumption again. downstream products from 2028. If you sell into Europe, your customers will soon need your carbon numbers whether you volunteer them or not. A roadmap that actually works Most roadmaps are just a list of nouns with arrows between them. Here’s something more specific, drawn from programs that succeeded and a few that didn’t. 1. Start by measuring the real thing. Before you set a single target, connect to your machines, your meters and your manufacturing execution systems—not your accounting ledger. Know your footprint at the process level, in close to real time. When emissions appear on the same screen as cycle time and scrap rate, sustainability stops being a separate workstream and becomes part of how you run the plant. 2. Model before you build. The most expensive way to decarbonize is to rebuild the physical plant and discover afterward that the change didn’t pay off. Simulate it first. Prove the change in software, then build it once. 3. Treat the supply chain as part of your factory. Because most of your emissions are upstream, your suppliers are effectively part of your production system. Yet only about 15% of corporates have set a supply-chain emissions target—which tells you how much advantage is still available to those who move. Share data with key suppliers, design products with carbon intensity as a stated requirement and put emissions right next to price and lead time. 4. Tie it to the money. A plan that doesn’t connect to the P&L will lose every budget fight it enters. The good news: a lot of carbon reduction pays for itself, because energy you don’t consume is energy you the part you control least. The steel you buy, the logistics that move your goods and the energy your product consumes over its life are hard to see and harder to change. CDP reports that supply-chain emissions are, on average, 26 times greater than a firm’s own operations. A small set of upstream relationships and a few downstream usage categories usually dominate the whole picture. Don’t ignore scopes 1 and 2 That’s where you have control. Scope 1 is what you burn directly: the gas in your boilers, the diesel in your fleet. Scope 2 is the electricity, steam and heat you buy. The GHG Protocol estimates Scope 2 alone represents at least a third of global emissions, which makes purchased energy one of the largest levers any manufacturer has. Here’s the simple way to think about the split. Scope 3 is where you have influence. Scope 1 and 2 are where you have authority. You can change your energy contract, electrify a process or reschedule production to cleaner hours without asking a single supplier for permission. Regulators want these first, too. SB 253 requires Scope 1 and 2 reporting in 2026, a full year before Scope 3 obligations begin. The sequencing is handed to you: get your own house measured and assured, build the muscle, then push outward. The regulations re no longer theoretical Three regimes now matter to almost any manufacturer of meaningful size. All three crossed from proposal into live obligation in 2025 and 2026. CBAM deserves a special mention for anyone with a global supply chain. Embedded emissions are no longer a voluntary metric— they’re a regulated input into a financial obligation. In December 2025 the Commission proposed extending CBAM to roughly 180 $ H0DA70$ ?/29!I9!H0J;A108$ .A7A:D!2:F!.009/$ K23A<51:A2! L-!',+!M!L-! 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