Development of a multi-dimensional flow sensor system


The objective of the research project is to develop a compact two-dimensional flow sensor system that can be applied by manufacturers and operators of ventilation systems. The aim is to provide current data concerning the operating conditions of the air-conditioning system as well as the flow-related processes in the room, in order to contribute to the optimization and thus energy savings of the systems by appropriate control strategies. The miniaturized, light, mobile and highly dynamic flow sensor system with a very low internal energy demand detects the flow velocity in the system and in the room. Due to the sophisticated construction, the flows themselves are hardly affected. A multi-dimensionality of the flow is achieved by arranging several flow sensors. The sensor systems shall also be suitable for use in a sensor network; therefore, a multidimensional MEMS flow sensor is built up and analyzed in a flow channel by function tests for accuracy and accuracy repeatability of the measured values.

The integration and the interaction of the individual components as well as their functioning are analyzed; for selected cases, the practical suitability is reproducibly tested on a 1: 1 scale. The SMEs of Germany’s ventilation and air conditioning sector shall be supported in showing more easily that air quality and thermal requirements are fulfilled in rooms and buildings. At the same time, those comfortable conditions in rooms shall be achieved on lowest energy demand. The results of the project will enable SMEs to comprehensibly provide this evidence with a reasonable effort; the competitive situation of the SMEs as a whole is secured. The harmonization of European standards of comfort enables SMEs to apply this multi-dimensional sensor system internationally, resulting in competitive advantages across countries.

In this project, IGTE cooperates with Hahn-Schickard-Gesellschaft für angewandte Forschung (HSG).


Project duration

09/2016 – 05/2019



BMWi, AiF, grant number 19177N


This image shows Yuanchen Wang, M.Sc.

Yuanchen Wang, M.Sc.


Academic employee

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