Image Reducing the filling quantity
Image Investigation of coolants
Image Multifunctional electronic modules for cryogenic applications
Image 3D - Air flow sensor
Image Low Temperature Tribology
Image Electrochemical decontamination of electrically conducting surfaces „EDeKo II“
Image Combined building and system simulation
Image Measurements on ceiling mounted cooling systems
Image Micro heat exchangers in refrigeration
Image Hydrogen and methane testing field at the ILK
Image Innovative small helium liquefier
Image Test procedures for electrical components
Image Air-water heat pumps
Image Software for test rigs
Image Filter Tests
Image Verification of storage suitability of cryo tubes

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Optimizing HVAC operation with machine learning

BMWi Euronorm Innokom

01/2019–05/2021

Dr.-Ing. Thomas Oppelt

+49-351-4081-684

in progress

Intelligent control of HVAC systems – high comfort with low energy demand

Motivation

During operation, the energy efficiency of many HVAC systems remains considerably below the value predicted when planning. One reason is that especially complex systems with multiple generators, storages and consumer locations frequently are not operated optimally.

Aim of the project

Development of a tool for optimizing the operation of HVAC systems which uses machine learning (ML) methods and data from the digital building model (Building Information Model, BIM):

  • Optimization goal: high energy efficiency with at the same time high comfort for users

  • Saving operating costs, energy and carbon dioxide emissions due to increased efficiency

  • Continuous autonomous improvement of the ML algorithm by learning from new measured data with auto-adaptive reaction to changing conditions (building, system, use, smart meter for real time billing of energy and media, etc.)

Approach

  • Reproduction of the real system’s thermal-energetic behaviour in the machine learning system, training with BIM data, measured data and a digital twin of the real system
  • Application of ML methods for load forecasting (weather, usage patterns)

  • Automatic classification of utilisation scenarios, fault detection

  • Integration of available tools for efficient simulation of indoor air flows and for calculating energy demands

  • Co-Validation of optimization tool, experimental studies and digital twin

Interested?

Please get in touch with us if you are interested in a cooperation: klima@ilkdresden.de

 


Your Request

Further Projects

Image

Micro heat exchangers in refrigeration

3D-printing of micro heat exchangers

Image

Electrochemical decontamination of electrically conducting surfaces „EDeKo II“

Improvement of sanitary prevention by electrochemical decontamination

Image

Electrical components in refrigeration circuits

High voltage tests under real conditions

Image

Influenced melting point of water by magnetic field

Controlled sub-cooling of products in freezing processes


Contact

Institut für Luft- und Kältetechnik - Gemeinnützige Gesellschaft mbH
Bertolt-Brecht-Allee 20, 01309 Dresden


Secretary to the Management

+49-351-4081-520

+49-351-4081-525

Image ISO 9001
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