What will the digital energy system of the future look like?

The digital energy system of the future will be more small-scale and more volatile due to renewable energies. Digitalization is the key to coordinating generation and consumption and making the energy system sustainable, secure, and cost-effective. Neither the energy transition nor sector coupling are not possible without digitization. To achieve this, all relevant players will be digitally networked in the future, communicating and interacting with each other both for grid stability and within the framework of new business models or participation models. Processes in companies, but also in market communication, will be simplified and automated. Data, its evaluation, and use for artificial intelligence play a decisive role in further developing the energy system. Instead of point-to-point integrations, digital standards and platforms will enable new forms of interaction and value creation, more efficient processes, reduced transaction costs, interoperability and network, synergy, and scale effects.

Specifically, we look at the following questions:

  • What will the digital energy system of the future look like?
  • What additional energy and resource consumption, as well as risks, will result from digitization?
  • How can the digitalization of the energy transition be accelerated?
  • What digital mechansims can be used to better integrate electric vehicles into the grid?
  • How can market access for small-scale players, like prosumers, be ensured through digital platforms?
  • Is the energy transition possible without digitalization?
  • How much does the digitalization of the energy transition cost?
  • How can flexibility platforms be integrated into the grid, market, and digital infrastructure?
  • How can small-scale flexibilities be integrated into the grid?

Below You Will Find our News, Publications, and Projects on the Topic

More News on Topic (1)

  • Invitation to the Info Event "Regulatory Sandboxes: The Next Step of the Energy Transition"
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More Publications on Topic (27)

  • Development of Grid Load at the Municipal Level - Estimating the Need for Grid Expansion and Grid-Oriented Flexibility
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  • Analyzing the Potential of grid-serving Flexibility – A novel approach to the synthesis of low-voltage grids
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  • Hydrogen Certification
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  • Predictions in Energy Economics - Tutorial on Household and PV Load Forecasting
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  • Predictions in Energy Economics – Comparison of Conventional Machine Learning Methods and Deep Learning
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More Projects on Topic (2)

  • WARAN - Integration and grid-serving usage of heat
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  • The project InDEED
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