Making sustainability measurable
The SimCO₂ Analyzer is a flexible modular system for integrating CO₂ analyses into simulation models with Siemens Plant Simulation. Developed by SimPlan, the tool supports companies in making CO₂ emissions in production visible, systematically analysing them and reducing them in a targeted manner.
In the initial parameterisation, certain consumption parameters (Plant Simulation parameters) and the individual CO2 values are assigned to the objects.
Key features
- Seamless integration into existing models
- The SimCO₂ Analyzer can be integrated directly into material flow and inventory models – without adding to the complexity of the model.
- Automated reading of relevant objects
- Energy consumers, plants, processes and raw materials are automatically recognised and assigned.
- Live visualisation via CO₂ heat map
- Emissions are displayed in real time in the model. This allows hotspots, consumption patterns and bottlenecks to be identified at an early stage.
- Creation and export of structured data
- Detailed CO₂ data sets are output as SQLite files and can be transferred directly into analysis tools such as SimAssist.
Benefits for users
- Early detection of inefficient processes
- Decision-making basis for sustainable investments
- Support for compliance with regulatory requirements
- Basis for CO₂ cost assessment and reporting
What’s next?
The further development of the SimCO₂ Analyzer aims at an even more comprehensive CO₂ assessment and better usability.
Planned enhancements:
- User-friendly interface: new interface for entering energy profiles, energy sources and raw materials, and for a clear dashboard with key evaluations.
- External connection: integration of (web) databases and administration shells (AAS) for importing external data sources and Industry 4.0 compatibility.
- Additional considerations:
- Recording vehicle emissions
- Extension to include cost assessment, suppliers, buildings and administrative areas, as well as reporting options in accordance with EU directives.