ALEX – Application-oriented development, implementation and validation of an AI-based controller for LowEx temperature control systems using device-independent open-source hardware, especially in combination with external wall temperature control

 

Project description

The ALEX project involves the application-oriented development, implementation and validation of the AI-based ALEX controller for LowEx temperature control systems using device-independent open-source hardware, with the aim of advancing the heat transition. LowEx systems operate with low-temperature energy sources and use renewable energies such as geothermal energy, solar energy or waste heat particularly efficiently to replace fossil fuels and reduce greenhouse gas emissions. A special feature of such LowEx systems is the thermal inertia of the heating system, which can also be used as a heat storage device. However, these systems place high demands on the control system, which is why conventional controllers are not suitable for them.

The aim is to develop a universally applicable controller that maximises the efficiency and flexibility of such systems. The ALEX controller uses AI optimisation algorithms to improve the use of renewable energies and storage and flexibility options in order to optimise heating and cooling functions in existing buildings. The controller is being developed in several stages and will then be tested and optimised using simulations and experiments.

Through the use of AI optimisation algorithms, the ALEX controller is intended to be a unique solution developed specifically for use with low-energy systems in order to increase the efficiency of these systems and support the use of renewable energy in the building heating market.

Project steps

  1. Development of components and simulations
  • Development of intelligent modules (iEMS, iCOM, iRegler) for controlling low-energy temperature control systems
  • Simulation studies with TRNSYS to optimise LowEx potential
  • Validation of simulation data on the LEXU II wall
  1. Implementation of the algorithms
  • Integration of AI-based optimisation algorithms (iEMS) into the developed hardware components (iCOM, iRegler)
  • Development of a user interface (HMI) and flexible expansion options for additional renewable energy sources
  1. Testing and optimisation
  • Testing and optimisation of the ALEX controller on the real system (LEXU II wall) and through refined simulations

 

 

 

Laufzeit:
01.09.2024-31.08.2027

FKZ:
03EN1097

Ansprechpartner:
Stephan Schulte