Digital Energy Twin

Der Digitale Energie Zwilling schafft eine zentrale, standardisierte und kollaborative Datenbasis von Verbrauch, Anlagen und Beschaffung. Der Zwilling bietet Transparenz und ermöglicht die einfache Anwendung von menschlicher und künstlicher Intelligenz.

Eine Einführung amortisiert sich bei Anwendung von AI-Agents innerhalb eines Quartals nach Go-Live.

Digital Energy Twin
Challenges
Non-digitized and unstructured data
Energy data such as system information and energy contracts are sometimes stored in non-digitized or unstructured form, making it difficult to find this data and use it as a basis for decision-making.
Distributed data and silos
Energy data is often scattered across different departments, IT systems and individual Excel spreadsheets, making transparency, collaborative decision-making and the use of AI agents difficult.
Integrated energy system

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.

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Basis for AI agents
Based on the digital twin, AI agents such as our Production Scheduling, Energy Asset Scheduling, Energy Trade & Risk Management and Energy System Design can be applied.
Basis for business intelligence
The shared database helps to understand energy consumption and energy procurement and creates an integrated management system for the important resource of energy.
Standardized & auditable data structure
All energy-relevant data is brought together in one place so that the data can be used for human and artificial intelligence. The scalable solution complements existing IT systems consisting of control technology, energy management and data hubs.
Stored transparently & in real time
Energy procurement, energy consumption and system data are recorded and visualized in real time on a central platform, allowing companies to react immediately to changes and make informed decisions together.
Collaborative & cross-departmental
All relevant company divisions access the same data, breaking down silos, enabling cross-divisional analyses and simplifying coordination processes.
Gradual introduction with scalable granularity
Companies can start with a rough overview and gradually refine the level of detail of the data - from a simple analysis of the purchasing portfolio to the integration of live data for the automatic operation of energy components.
Take a look at which AI agents you can use
To the AI-Agent Energy Operator