In Berlin, the Siemensstadt Square project is being built as a smart campus of the future, which combines digitalization with energy efficiency and sustainability. Using our heatbeat Digital Twin, we simulate the heating and cooling supply of the district.
The research project 'FunkSTA: Operational optimization and expansion of renewable-fed district heating network for municipal utilities based on wireless communication technologies' is funded by the 7th Energy Research Program of the German Federal Government. Through the radio-based measurement data connection to our Digital Twin, we can calibrate and improve our simulation models.
An innovative, district heating and cooling network is being built in the Shamrockpark in Herne, funded by the BMWK. Our role is to map the buildings, the thermal network and the generators for heating and cooling in our heatbeat Digital Twin.
What is ultra-low temperature district heating and what needs to be considered when developing concepts and planning ultra-low temperature district heating networks? With the help of our heatbeat Digital Twin, we demonstrate the most important points using a sample district heating network.
The Brainergy Park Jülich GmbH is developing a modern and innovative commercial district in which renewable energies and the coupling of energy sectors play a major role. For a coordinated energy system, heatbeat supports the planning by modelling and simulating the buildings and the heating networks.
We use an example network in a district of Nürnberg to demonstrate our methods and processes for the dynamic simulation of a district heating network. In this case study, we compare the simulated heat losses resulting from different levels of thermal insulation for the pipe network.
The project TransUrban.NRW is a winner of the ideas competition 'Reallabore der Energiewende' of the Federal Ministry for Economic Affairs and Climate Action (BMWK). With our simulations we support the implementation of innovative 5th generation district heating networks at 4 locations in North Rhine-Westphalia.
In our research project BestWärmKI, the goal is to improve the operation of heating networks through the innovative use of artificial intelligence. To achieve this, we are collaborating with our project partners SWW Wunsiedel GmbH, othermo GmbH, and the Fraunhofer Institute for Integrated Circuits IIS (Fraunhofer IIS).