The digital energy twin creates a central, standardized and collaborative database of consumption, systems and procurement. The twin offers transparency and enables the simple application of human and artificial intelligence.
An introduction pays for itself within a quarter after go-live if AI agents are used.
The digital energy twin brings together all energy-relevant data in one place. This includes:
Energy procurement,
Energy components and
Energy consumption data
combined with each other and accessible within the company.
How does the implementation work?
Our Solution Engineering team will build your plant as a digital twin together with you in an on-site training workshop
The duration depends on the availability of the data and the complexity of the work - an initial mapping can usually be completed in a few days and the twin can be continuously refined as required.
What happens if data is missing?
Our basic data can be used as a basis for missing data such as investment costs for certain components. In addition, our solution engineering team can help to supplement missing data with other internal models, for example for heating requirements and practical experience.
