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Published on 5 August 2020

​Smart Energy Systems

When both centralized and distributed energy production and a wide range of energy vectors are used simultaneously, you get complex systems that can be implemented on a local level.

The relentless quest for energy efficiency has spurred stakeholders at all scales to find ways to get more out of every electron and calorie produced. Solutions like hybrid energy and storage systems and multi-energy systems and grids that serve a neighborhood, city, building, or even a boat, for example, create complex new management scenarios.

Liten is renowned for broad, deep knowledge of the vast array of elements that make up complex energy systems.

  • The institute is the partner of choice for the development and integration of all energy-system components, whether it is producing energy from a variety of sources and storing energy (electric, thermal, hydrogen) or forecasting and demand-side management.

  • Liten's developments address a wide range of applications, including vehicles (cars, boats, planes), new and existing buildings, and entire neighborhoods and larger geographical areas.

The research taking place at Liten labs focuses on digital tools to evaluate, dimension, and run complex energy systems optimally. The institute also tests these systems in the lab, on the test grids at INES, and in real-world conditions.

Liten uses and develops its own generic software for electricity grids (see Smart Electricity Systems), heat and cooling networks, and hydrogen production for the development and management of complex energy systems.

  • Technical and economic assessments of complex energy systems.

  • System simulation and dimensioning.

  • Management strategy

  • System performance assessment

Liten conducts research with and for partners on topics like:

  • Energy management at neighborhood, city, and larger scales.

  • Solar-powered off-grid equipment coupled with energy storage to limit the use of diesel-powered generators.

  • Advanced management of heat and cooling networks.

  • Combined energy vectors: power-to-gas, power-to-heat, etc.