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Computational Analysis of Optimal Sensor Position in Indoor Environment


Affiliations
1 Department of Mathematics, Sathyabama University, Chennai-600119, India
 

Background/Objectives: Placement of sensors plays an important role in getting an early warning about the contaminant. In reality, unsteady flow conditions are dominant. Hence this paper focuses on optimal sensor position under unsteady flow conditions. Method: Computation analysis of airflow around circular sensors fixed at different positions under unsteady state condition with laminar flow is performed in indoor environment using Finite volume method. Results: This CFD analysis helps to calculate and visualize the unknown parameters namely velocity and pressure at every point around the sensors. Conclusion: The results obtained in this study can be applied in locating the optimal sensor position in indoor environment.

Keywords

CFD Analysis, Finite Volume Method, Laminar, Optimal Sensor Position, Unsteady Flow.
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  • Computational Analysis of Optimal Sensor Position in Indoor Environment

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Authors

M. V. Shyla
Department of Mathematics, Sathyabama University, Chennai-600119, India

Abstract


Background/Objectives: Placement of sensors plays an important role in getting an early warning about the contaminant. In reality, unsteady flow conditions are dominant. Hence this paper focuses on optimal sensor position under unsteady flow conditions. Method: Computation analysis of airflow around circular sensors fixed at different positions under unsteady state condition with laminar flow is performed in indoor environment using Finite volume method. Results: This CFD analysis helps to calculate and visualize the unknown parameters namely velocity and pressure at every point around the sensors. Conclusion: The results obtained in this study can be applied in locating the optimal sensor position in indoor environment.

Keywords


CFD Analysis, Finite Volume Method, Laminar, Optimal Sensor Position, Unsteady Flow.



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i5%2F67397