Specific energy consumption (SEC) is the energy used to make one unit of product, kWh per tonne, per part, per liter. It is the single most useful energy metric on a factory floor because, unlike the total utility bill, it separates "we used more energy because we made more product" from "we used more energy to make the same product," which is the only version worth acting on.
A rising energy bill triggers alarm; a rising bill during a busy quarter means nothing without normalization. SEC divides energy by output, so it holds production volume constant and exposes real efficiency changes. A plant whose bill rose 12 percent while output rose 15 percent actually got more efficient per unit, its SEC fell, and the bill panic was misdirected. SEC turns energy from an accounting line into a process metric you can trend, benchmark, and improve.
A line uses 48,000 kWh in March making 400 tonnes: SEC is 120 kWh/tonne. In April it uses 52,000 kWh making 410 tonnes: SEC is about 127 kWh/tonne. The bill rose 8 percent and output rose only 2.5 percent, so SEC climbed nearly 6 percent, real efficiency loss hiding behind a "we made more" story. Investigation traces it to more idle running between batches and a fouled heat exchanger making the process work harder. Neither would have surfaced from the bill alone; both are visible the moment energy is divided by units. The fix (tighter scheduling, exchanger cleaning) drops SEC back toward 120, and the saving is now measurable per tonne rather than lost in monthly noise.
Energy is the easy half of SEC: meters measure it. The genuinely difficult half is a trustworthy, time-aligned output figure, how many good units, over exactly the same period, on exactly the same equipment. Plants with manual production counts cannot compute SEC reliably because their denominator is estimated at shift end and never lines up with the energy interval. This is precisely the production data that OEE measurement already captures: good count and run time, per machine, in real time. Accurate SEC and accurate OEE need the same foundation.
Many energy losses are production losses in disguise. A machine idling between jobs draws energy while making nothing, that is both an availability loss on OEE and pure waste on SEC. Running slow, scrapping units, reworking, each inflates energy per good unit and shows up in both metrics. Improving speed and minor-stop losses often cuts SEC as a free byproduct, which is why energy and OEE programs belong in the same conversation rather than separate spreadsheets.
Fabrico is not an energy management system and does not meter kilowatt-hours, that is the job of energy meters and EMS platforms. What Fabrico provides is the denominator those systems lack: accurate, time-stamped good-count and run-time per machine, so energy divided by real output produces a trustworthy SEC instead of a guess. The maintenance side then attacks the waste SEC reveals, idle running, fouling, degraded equipment, as scheduled work. Pair Fabrico’s production data with your energy meters and SEC finally becomes a number you can act on. EU-built, with EU data residency.
There is no universal figure, it depends entirely on the product and process. SEC is most useful as a relative metric: trended against your own history, benchmarked between similar lines, and compared against best-demonstrated performance. A falling SEC on stable product is the goal, whatever the absolute number.
They are closely related. SEC typically refers to energy per physical unit of output (per tonne, per part) at process or line level; energy intensity is often used more broadly (per unit of revenue or floor area) at site or corporate level. SEC is the more actionable, shop-floor version.
Usually because the output denominator is unreliable, manual counts that do not align in time with the energy meters. Fixing SEC generally means fixing production data capture first: automatic, time-stamped good counts per machine, the same data OEE measurement provides.
Want a production denominator accurate enough to make SEC real? Book a Fabrico demo to see real-time output data that turns energy per unit into an actionable metric.
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