Digital Twin technology ®

An Digital Twin (or Digital Model) of your energy ecosystem is a digital replica of a physical energy system, such as a power plant or grid, that is used to simulate and analyze its operations. You can make the model very detailed, or keep to large energy assets only. The Digital Twin is also the base for your Dashboards.

In the TIBO EMS, a digital twin is created in a visio-like environment. Designing your model is quickly done with our energy-asset database. By default, this database contains the most important energy-objects ( EV, PV, Battery storage and heatpumps) in our patented Object-format.

With the capturing of data from the physical system and using it in the virtual model, you can create a model that accurately represents your energy ecosystem with all components, behavior, and performance.

This virtual model can then be used to create scenario’s and optimize the physical system, without the need for costly and time-consuming physical experiments.

The Digital Twin can also be used to improve the efficiency, reliability, and sustainability of energy systems, and can also help to identify and prevent potential problems before they occur.

More about digital twins in general? Read more on WiKi >>

Virtual Power Plant Builder with Energy Asset Database

starting point of your Smart Grid

What to do with your Digital Twin?

In the TIMO EMS solution, your Digital Twin is the starting point of your Virtual Power Plant or Smart Grid. The DT will first give you insights; you can bring it ‘to life’ adding historic or real-time data of your energy components. Read more about the four steps to implement your smart grid and start with your energy transition.

Digital twins can be used to give insights in a number of ways, including:

  1. Analyzing performance: Digital twins can be used to analyze how a system is performing under different conditions and identify potential issues or areas for improvement.
  2. Predicting outcomes: By simulating different scenarios, digital twins can help predict how a system will behave under different conditions, allowing for proactive problem solving and decision making.
  3. Optimizing designs: Digital twins can be used to optimize the design of a system or asset, taking into account factors such as performance, cost, and sustainability.
  4. Improving maintenance: Digital twins can be used to predict when maintenance will be needed and help prioritize maintenance tasks, improving the overall efficiency and reliability of a system
  5. Enhancing collaboration: Digital twins can be used to facilitate collaboration among different teams, allowing them to work together in a virtual environment and make informed decisions.

Overall, digital twins can provide valuable insights and help organizations make more informed decisions about their physical assets and systems.