Forschungsprojekte (seit 2015)

Erstellt: 29. Mai 2018

Measurement of Indoor Climate by Sound Field Analysis

It is necessary to control the indoor environmental parameters appropriately to achieve a satisfied level of thermal comfort as well as energy performance improvement of the air conditioning system.

A key indicator of thermal comfort conditions is the air temperature that needs to be adjusted effectively. For this purpose, the air temperature distribution of the whole space must be determined. In conventional methods, thermistors are largely applied by mounting them physically in separate locations of the indoor environment. However, they provide the local temperature but not the thermal distribution. Moreover, the thermistors have contact with the measurement environment thus they might affect the temperature and flow by their own existence.

In this project, we compute the sound field analysis to obtain the non-invasive thermal distribution of a room with an ability of measuring a rapid change in temperature. The sound speed in the air depends on its properties such as temperature, pressure, humidity and flow velocity and it can be determined by measuring the travel time of a signal from sound transmitters (loud speaker) to receivers (microphone) at a defined propagation path. Then, by applying a tomographic reconstruction algorithm, the detected sound speeds will be converted into a spatially distributed temperature.

With the aforementioned advantages of the sound field analysis we are going to exploit the calculated temperature distribution for an energy analysis of a ventilation system. Among different ventilation methods, the ductless personalised ventilation system (DPV) with an ability of supplying fresh, conditioned air directly to the occupied zone has been proved as a novel system to enhance thermal comfort of the indoor environment. However, the impact of ventilation rate on the energy consumption of this system is remained as a question.

Therefore, the aim of this study is to implement the sound field analysis to obtain the temperature distribution in a measurement area and subsequently using the implemented results as inputs to an appropriate energy simulation software to enhance the energy potential of a ductless personalized ventilation system compared to the traditional methods.

Thüringer Graduiertenförderung 

04/2018 - 03/2021

Najmeh Sadat Dokhanchi M.Sc.
Tel. +49(0)36 43/58 44 59