Energy & Consumption Optimization
Cut energy costs without slowing production.
Energy and consumption optimization analyzes load profiles and process data to reveal savings potential and inefficient operating states. It supports both short-term peak-shaving and long-term efficiency programs, cutting cost and carbon footprint.
- Lower energy costs at the same production output
- Avoidance of costly peak-load charges
- Solid basis for sustainability reporting
energy costs
peak load
payback period
CO2 emissions
Based on current energy costs per site and identified peaks in the consumption profile.
- 01
Consumption analysis
Identify main consumers and load profiles per asset.
- 02
Metering integration
Connect meters and IoT gateways to the data platform.
- 03
Model savings potential
Detect inefficient operating states from data.
- 04
Test load management
Simulate shiftable loads and peak avoidance.
- 05
Continuous monitoring
Track savings continuously and adjust measures.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Energy meters
Electricity, gas and compressed-air use per area.
IoT gateways
Retrofitted metering on legacy equipment.
Production data
Consumption relative to utilization.
Weather data
Impact on heating, cooling and ventilation.
Tariff data
Pricing structures for load-management decisions.
Equipment states
Idle and downtime periods as savings levers.
Energy management
Gets transparent consumption data per asset.
Plant management
Sees savings directly reflected in the budget.
Sustainability officers
Gets solid data for CO2 reporting.
Controlling
Can allocate energy costs accurately by source.
Lower energy costs at the same production output
Avoidance of costly peak-load charges
Solid basis for sustainability reporting
Visibility into hidden energy wasters
Support for efficiency-related funding applications
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central capture of all energy data in one system
Automated mapping of consumption to assets and orders
Scalable to additional sites with minimal extra effort
Direct integration with sustainability reporting tools
Process parameter optimization
Optimal parameters also reduce energy consumption.
Anomaly detection
Unusual consumption is detected early.
Production scheduling
Load shifting can be built into scheduling.