Energy data management in the chemical industry
Electricity, gas, heat and compressed air – hardly any industry works with such a broad energy mix, and rarely is all the data in one system. Learn how empAI brings existing data sources together in a digital twin and turns ISO 50001 reporting, anomaly detection and cost planning from a major effort into a by-product of ongoing operations – without intervening in production control.
Energy data management in the chemical industry: many energy carriers, one picture
Friday afternoon, energy management at a mid-sized chemical plant: for next week's ISO 50001 audit, the energy consumption of the last twelve months needs to be ready – broken down by electricity, gas, heat and compressed air, per plant section. The figures exist, no question. They're just scattered: the electricity meter reports to the utility's portal, the gas bill sits with purchasing, heat volumes are transferred manually from the control room, and the compressed air station is logged separately. It takes days before this becomes a reliable overview.
This situation is not an isolated case, but in large parts of the chemical industry the rule rather than the exception. Hardly any industry works with such a broad energy mix, and rarely are all energy carriers mapped in one shared system. This matters not only for audits: for cost analyses, investment decisions or simple questions from management, the same search work is done all over again every time.
The challenge: four energy carriers, no shared view
In most chemical plants, the data exists – just not in the same place. Electricity runs through smart meters and the utility's portal, gas through separate meters and supplier bills, heat often through manual readings, compressed air through dedicated monitoring systems at the compressors. This is complemented by ERP and MES production data, which is usually technically separate from the energy data.
The current state is no longer sufficient for several reasons:
- Operationally: Anomalies such as a creeping loss of efficiency at a compressor or an unusual load profile in a batch are only noticed once they already show up in cost accounting.
- Technically: By 2030, many plants will add further production and metering technology. Each new plant expands the data base – without a system that grows with it, this simply creates another silo.
- Regulatory: ISO 50001 reporting, CSRD evidence and the requirements of the German Energy Efficiency Act increasingly demand detailed evidence that is available at any time, rather than an annual data collection after the fact.
In short: many chemical companies are data-rich, but lack a shared picture. And that is exactly what makes decisions slower and more expensive than necessary.
How empAI helps
empAI is an AI platform for energy-intensive production that addresses exactly this gap. Instead of requiring new meters or systems, empAI connects existing data sources such as smart meters, ERP, MES, weather services and energy markets in a shared digital twin. Energy, production and environmental data is thus brought together continuously, instead of being laboriously gathered when needed. Explicitly without intervening in the control of production plants: empAI provides transparency and a basis for decisions, not automated control.
Specifically, this enables, among other things:
- ISO 50001 reporting at the push of a button: Key figures are fed directly from ongoing operations instead of being compiled once a year.
- Pattern and anomaly detection: Consumption anomalies are identified in the context of production, not only in the next cost analysis.
- Simulation of measures: Before a changed operating mode is implemented, its effect on consumption, costs and emissions can be simulated.
- Integrated cost planning: Consumption data and supply costs come together in one analysis instead of separate spreadsheets.
- Market connection for procurement: Purchasing windows can be chosen based on data rather than fixed tranches.
- Configurable dashboards: Individual reports for each target group, with integration into common office applications.
- Extensibility: New production and metering technology can be integrated step by step without replacing existing systems.
The difference does not lie in collecting or visualising data – many systems already do that today. The difference is that the combined data actually becomes a usable basis for decisions: for the moment a batch is planned, energy is purchased or a measure is approved. Reporting, cost analysis and anomaly detection thus go from a major effort to a by-product of ongoing operations.
Conclusion
Back to Friday afternoon in energy management: with a shared data foundation across electricity, gas, heat and compressed air, the answer to the audit request would no longer mean days of searching, but just a few clicks. That is exactly empAI's approach – connecting existing systems, bringing energy and production data together in a digital twin and deriving concrete, traceable decision bases from it, without intervening in production control itself.
