Deploying a low-carbon industry strategy through IIoT tools
Axel
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Deploying a Low-Carbon Industrial Strategy Using IIoT Tools
Reducing an industrial site's carbon footprint cannot simply be decreed; it must be measured. An effective industrial low-carbon strategy relies on reliable energy data collected directly at the machine level, rather than on annual estimates derived from utility bills. This is where IIoT proves critical: it turns every meter, boiler, and compressor into an actionable data source.
Regulatory pressure, energy costs, and supply chain procurement requirements now compel industrial operators to substantiate their progress. Here is how to structure the approach, which utilities to instrument first, and how to finance the project.
Why a Low-Carbon Industrial Strategy Begins with Data
A low-carbon roadmap rests on three pillars: measuring emissions, reducing consumption, and documenting progress. Each depends on the availability and reliability of field data. Without measurement, it is impossible to establish a baseline or demonstrate savings. The benefits of IIoT for energy management apply directly to this challenge, as does an industrial energy management system (EMS) that centralizes flows.
Measure: track consumption by site, workshop, and equipment in real time.
Reduce: identify baseline drifts, leaks, and excess consumption to target areas with the fastest return.
Document: generate auditable historical logs for regulatory compliance, reporting, and funding applications.
A Regulatory Framework That Mandates Measurement
The regulatory landscape is shifting rapidly. The CSRD directive has been refocused by the Omnibus package on the largest corporations (over 1,000 employees and over €450M in turnover), yet their industrial suppliers face continuous requests for carbon data. This is compounded by the Carbon Border Adjustment Mechanism (CBAM), entering its definitive phase in 2026, and mandatory regulatory energy audits for large enterprises. A site's tertiary buildings may also fall under the French décret tertiaire.
In every scenario, the requirement remains identical: maintaining timestamped, traceable, and exportable energy data without manual entry.
Four Priority Energy Utilities to Instrument
Energy consumers are not distributed equally. Prioritizing primary loads yields measurable improvements within the first few months.
Process Heat and Steam Boilers
Thermal systems often constitute the largest source of direct emissions on site. Tracking combustion efficiency, gas consumption, and steam generation identifies immediate optimization opportunities. Our guides on industrial steam boiler operation and efficiency and energy optimization for steam boilers outline technical levers.
Industrial Refrigeration
Chillers run continuously and exhibit low tolerance for setpoint drifts. Monitoring power draw, process temperatures, and operating hours allows precise operational control. See how monitoring optimizes industrial chillers.
Compressed Air
Compressed air accounts for an average of 10% of industrial electricity consumption, and significantly more on specialized sites. It is also inherently prone to losses: 20% to 30% of generated air is typically lost to leaks. Refer to our industrial compressed air optimization guide and our article on reducing costs related to compressed air leaks.
Electric Motors
Electric motors drive pumps, fans, and conveyors, representing approximately 70% of electricity consumed across manufacturing. Measuring actual load profiles and operating hours enables implementation of VFD retrofits and industrial predictive maintenance.
Structure your energy management with DAT'Power
Deploying a Low-Carbon Approach in Three Steps with DAT’Power
DAT’Power is Dative's energy monitoring platform. It integrates DAT’Products sensors and gateways operating over industrial-grade communication networks, including LoRa technology.
Step 1: Map and Measure
Establish an industrial metering plan: define monitored flows, specific loads, and data granularity. Then deploy priority meters and sensors, beginning with the most energy-intensive assets.
Step 2: Establish a Baseline and Monitor
Following an initial multi-week data acquisition phase, build your baseline and track deviations. Automated alerts help anticipate energy drift before it impacts utility costs, while data analysis prepares the infrastructure for AI applied to energy efficiency.
Step 3: Document and Validate
Historical logs feed directly into technical audits, carbon accounting, and ISO 50001 systems. Consumption reductions measured against the baseline provide verifiable evidence. For sensitive facilities, industrial cybersecurity remains an essential deployment prerequisite.
Financing a Low-Carbon Strategy: CEE, ADEME, and the Heat Fund
Several funding mechanisms can offset initial deployment costs. Eligibility criteria depend on site characteristics and project timelines, which must be verified prior to procurement.
Energy Savings Certificates (CEE): Standardized operations sheet IND-UT-134 subsidizes the implementation of energy measurement and management systems, as outlined in our review of DAT’Power and industrial energy.
ADEME: Industrial decarbonization calls for projects (DECARB FLASH, DECARB IND) support capital expenditures aimed at direct emissions reduction.
Heat Fund (Fonds Chaleur): Subsidies dedicated to renewable heat generation and industrial waste heat recovery.
To evaluate project economics, use our ROI calculator.
Assess available financing options for your project
Field Implementation Case Studies
Industrial operators have already implemented this methodology. Ninkasi structured its site energy management, as detailed in the Ninkasi case study, and a SEVESO facility deployed DAT’Power in a regulated environment.
Download the DAT'Power technical documentation
