Machine energy efficiency
Optimise energy consumption per machine.
The energy-efficiency solution analyses power consumption of individual machines, identifying unused loads and optimisation potential. Shift and machine comparisons reveal weaknesses.
- Cost reduction
- Better sustainability balance
- Higher efficiency
energy costs
peak loads
payback
CO2 efficiency
Calculated from saved electricity costs and reduced peak-load charges.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Machine energy efficiency.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Machine energy efficiency model on historical data.
- 04
Pilot
Pilot Machine energy efficiency in one area and collect feedback.
- 05
Rollout
Scale the solution and integrate it into operational processes.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Energy consumption
Electricity, gas, water and steam per area.
Machine data
Condition, parameters and production counters.
MES data
Production orders, feedback and machine data.
Sensor data
Real-time IoT and process sensors.
ERP data
Master and transaction data from ERP.
Weather data
Outside temperature, humidity and weather alerts.
Production manager
Uses insights directly in daily operations.
Sustainability lead
Captures and communicates sustainability metrics.
Controlling
Quantifies effects and supports budgeting.
IT
Builds on a scalable and secure data infrastructure.
Cost reduction
Better sustainability balance
Higher efficiency
Better planning
More transparency
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central data platform
Real-time data integration
Scalable analytics pipelines
Reusable data products
Energy optimisation
Process data enables demand-based energy control.
OEE monitoring
Availability data complements process metrics.
Predictive maintenance
Sensor data provides wear indicators.