Glossary · Energy and utilities automation
Energy data management
Also known as: Energy data acquisition and management
German: Energiedatenmanagement
In industrial energy management, energy data management is the acquisition, validation, storage, aggregation and provision of energy consumption and related data, such as production volumes and weather, for analysis, reporting and billing.
- Energy
In one sentence
Energy data management collects, validates, stores and aggregates energy and related data for analysis, reporting and cost allocation.
Example
Smart meters, PLCs and the building management system deliver data every 15 minutes to an energy data management system that produces monthly reports per cost center.
How it applies
- Engineering: Meters, controllers and gateways must deliver data with defined units, intervals and timestamps. Metering concepts decide what is measured where.
- Data quality: Gaps, meter replacements and counter overflows have to be detected and handled; see Data validation.
- Operation: Energy data is combined with production data from MES or controllers to calculate indicators such as Specific energy consumption.
- Documentation: A metering plan and data dictionary (meter IDs, measured variable, unit, interval, source system) help both users and auditors. Machine documentation should say which energy data a machine provides and through which interface.
Energy data management vs. energy management system
Energy data management is the data layer. An Energy management system (EMS) according to ISO 50001 is the management system with policy, objectives, responsibilities and reviews that uses this data.