A Mixed Reality application for studying the improvement of HVAC systems in learning factories

Marvin Czarski, Yen Ting Ng, Marcus Vogt, Max Juraschek, Bastian Thiede, Puay Siew Tan, Sebastian Thiede, Christoph Herrmann

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Abstract

Heating, ventilation and air conditioning (HVAC) systems in factories provide controlled conditions for workers and production equipment. At the same time, these systems are responsible for a significant share of industrial energy consumption. Commonly, HVAC systems are treated separately from production systems. However, numerous interactions and cross-influences occur affecting the overall energy efficiency and air quality. With analyzing and understanding these indoor air conditions the goal is to enable future engineers and experts to design and set them up in a way that improves human comfort, while reducing energy consumption. To achieve this, a cyber-physical system approach in a learning factory is presented. Based on data provided by the learning factory infrastructure, a building performance simulation with an integrated computational fluid dynamics simulation is composed. With the implementation in the learning factory, different ventilation and operation scenarios can be examined in learning scenarios and trainings to convey competencies about cyber-physical production systems in general and influences on the connection to HVAC systems. A mixed reality application provides three-dimensional visualization of the cyber-model and computed results for the learners.
Original languageEnglish
Pages (from-to)373-378
Number of pages6
JournalProcedia manufacturing
Volume45
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event10th Conference on Learning Factories, CLF 2020 - UT Graz, Graz, Austria
Duration: 16 Apr 202017 Apr 2020
Conference number: 10

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    Czarski, M., Ng, Y. T., Vogt, M., Juraschek, M., Thiede, B., Tan, P. S., ... Herrmann, C. (2020). A Mixed Reality application for studying the improvement of HVAC systems in learning factories. Procedia manufacturing, 45, 373-378. https://doi.org/10.1016/j.promfg.2020.04.039