Current research projects

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Image Low Temperature Tribology
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Image Investigation of materials
Image Calibration of Low Temperature Sensors
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Image 3D - Air flow sensor
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Image Innovative cryogenic cooling system for the recondensation / liquefaction of technical gases up to 77 K
Image Low temperature – test facilities
Image Cool Up
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Optimizing HVAC operation with machine learning

BMWi Euronorm Innokom

01/2019–05/2021

Dr.-Ing. Thomas Oppelt

+49-351-4081-5321

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

 


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Further Projects

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Mass Spectrometer

Determining the composition of gas mixtures in the high or ultra-high vacuum range

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Tensile and compression testing

Determination of yield strength, tensile strength and elongation at break

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Investigation of material-dependent parameters

Investigation of the permeation behavior

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Cool Up

Upscaling Sustainable Cooling

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Ionocaloric cooling

Ionocaloric solid-liquid phase cooling process