Measurement of indoor air temperature distribution using acoustic travel-time tomography: Optimization of transducers location and sound-ray coverage of the room

Measurement ◽  
2020 ◽  
Vol 164 ◽  
pp. 107934
Author(s):  
Najmeh Sadat Dokhanchi ◽  
Joerg Arnold ◽  
Albert Vogel ◽  
Conrad Voelker
Keyword(s):  
Temperature Distribution ◽  
Travel Time ◽  
Air Temperature ◽  
Indoor Air ◽  
Travel Time Tomography ◽  
Acoustic Travel Time

Three-Dimensional Acoustic Travel-Time Tomography of the Atmosphere

2008 ◽  
Vol 94 (3) ◽  
pp. 349-358 ◽  
Author(s):  
Sergey N. Vecherin ◽  
Vladimir E. Ostashev ◽  
Keith D. Wilson
Keyword(s):  
Travel Time ◽  
Three Dimensional ◽  
Travel Time Tomography ◽  
Acoustic Travel Time

scholarly journals INDOOR AIR TEMPERATURE DISTRIBUTION – AN ALTERNATIVE APPROACH TO BUILDING SIMULATION

2003 ◽  
Vol 2 (1) ◽  
Author(s):  
A. T. Franco ◽  
C. O. R. Negrão
Keyword(s):  
Temperature Distribution ◽  
Air Temperature ◽  
Indoor Air ◽  
Linear Equations ◽  
Three Dimensional ◽  
Momentum Conservation ◽  
Conservation Equation ◽  
Algebraic Equations ◽  
Conservation Of Energy ◽  
Energy Conservation Equation

The current paper presents a model to predict indoor air temperature distribution. The approach is based on the energy conservation equation which is written for a certain number of finite volumes within the flow domain. The magnitude of the flow is estimated from a scale analysis of the momentum conservation equation. Discretized two or three-dimensional domains provide a set of algebraic equations. The resulting set of non-linear equations is iteratively solved using the line-by-line Thomas Algorithm. As long as the only equation to be solved is the conservation of energy and its coefficients are not strongly dependent on the temperature field, the solution is considerably fast. Therefore, the application of such model to a whole building system is quite reasonable. Two case studies involving buoyancy driven flows were carried out and comparisons with CFD solutions were performed. The results are quite promising for cases involving relatively strong couplings between heat and airflow.

Flow field detection using acoustic travel time tomography

2007 ◽  
Vol 16 (4) ◽  
pp. 443-450 ◽  
Author(s):  
Manuela Barth ◽  
Armin Raabe ◽  
Klaus Arnold ◽  
Christian Resagk ◽  
Ronald du Puits
Keyword(s):  
Flow Field ◽  
Travel Time ◽  
Field Detection ◽  
Travel Time Tomography ◽  
Acoustic Travel Time

Acoustic travel-time tomography of the atmospheric surface layer at the Boulder Atmospheric Observatory

2016 ◽  
Vol 139 (4) ◽  
pp. 2097-2098
Author(s):  
Vladimir E. Ostashev ◽  
Sergey N. Vecherin ◽  
D. K. Wilson ◽  
Alfred J. Bedard
Keyword(s):  
Surface Layer ◽  
Travel Time ◽  
Atmospheric Surface Layer ◽  
Travel Time Tomography ◽  
Acoustic Travel Time
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