Emissions monitoring
Capture and report emissions comprehensively.
Emissions monitoring links process, environmental and energy data into a reliable balance, automatically producing reports for authorities and internal sustainability targets.
- Easier compliance
- Better sustainability balance
- More transparency
reporting effort
reporting coverage
payback
emission exceedances
Calculated from saved labour, lower fine risk and optimisation potential.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Emissions monitoring.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Emissions monitoring model on historical data.
- 04
Pilot
Pilot Emissions monitoring 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.
Sensor data
Real-time IoT and process sensors.
Environmental data
Emissions, wastewater and permits.
Energy consumption
Electricity, gas, water and steam per area.
ERP data
Master and transaction data from ERP.
Documents
Specifications, quotes, contracts and reports.
Historian data
Time series from the process control level.
Sustainability lead
Captures and communicates sustainability metrics.
Production manager
Uses insights directly in daily operations.
Controlling
Quantifies effects and supports budgeting.
IT
Builds on a scalable and secure data infrastructure.
Easier compliance
Better sustainability balance
More transparency
Lower risk
Cost reduction
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
Compliance reporting
Audit-ready data supports evidence.
Energy optimisation
Process data enables demand-based energy control.
Automated reporting
Metrics are provided without manual effort.
Lakehouse Architecture
A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.
Data Integration from ERP & MES
Automatically merge ERP and MES data instead of exporting and reconciling manually.
Streaming & Real-Time Data
Instead of daily batch runs, relevant metrics are available within seconds.