HeatTransPlan

The decarbonisation of industrial process heat is a challenge of the energy transition. In the predominantly fossil-fuel heated temperature range up to 200 °C, which accounts for about 40 % of the process heat demand, there is a barely tapped potential for reducing greenhouse gas emissions in the use of waste heat through heat recovery and heat ...

Duration: 01/2024 - 12/2026

Contact: Prof. Dr.-Ing. Henning Meschede, Prof. Dr. Oliver Müller, Dr.-Ing. Florian Schlosser

DynOpt-San

The aim of the project is to support the energy-efficient refurbishment of apartment buildings in neighborhoods with digital tools. Among other things, we are developing an AI-based energy manager that can predict and control the demand and supply of energy in the context of integrated solar heat pump systems across several apartments and ...

Duration: 01/2024 - 12/2026

DC2HEAT - Data Centre HEat Recovery with AI-Technologies

The DC2HEAT project aims to create an AI lighthouse for the use of waste heat from data centers using Frankfurt as an example. DC2HEAT is intended to help ensure that the dynamically growing data center infrastructure can be operated in a climate-friendly manner. The aim is to avoid the use of fossil fuels to supply heat in Frankfurt and other ...

Duration: 08/2023 - 07/2026

Contact: Prof. Dr.-Ing. Henning Meschede, Prof. Dr. Oliver Müller, Dr. Gunnar Schomaker

AProSys - AI-supported assistance and forecasting systems for sustainable use in intelligent distribution network technology

Climate and energy policy is rapidly changing the energy supply system in Germany. The nationwide integration of renewable energies and the integration of charging stations for electromobility are causing a high level of dynamism that is currently almost impossible to quantify. A forecast of potential outages that adapts to the dynamic power supply ...

Duration: 01/2023 - 12/2025

Contact: Prof. Dr. Daniel Beverungen, Sascha Kaltenpoth, Prof. Dr. Oliver Müller, Dr. Philipp zur Heiden