Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88178
Title: Physical limits on the performance of active noise control through open windows
Authors: Lam, Bhan
Elliott, Stephen
Cheer, Jordan
Gan, Woon-Seng
Keywords: Active Noise Control
Finite Element Method
Issue Date: 2018
Source: Lam, B., Elliott, S., Cheer, J., & Gan, W.-S. (2018). Physical limits on the performance of active noise control through open windows. Applied Acoustics, 137, 9-17.
Series/Report no.: Applied Acoustics
Abstract: Active noise control through open windows is a noise mitigation technique that preserves natural ventilation in dwellings. Designing a practical open window active noise control system requires the knowledge of the physical limits on the attenuation performance. Of the numerous variables to be optimised, it is the control source configuration (quantity and position) that ultimately defines the maximum attenuation attainable by an active noise control system. The physical limits are characterised here by systematically investigating the performance of different physical arrangements of control sources, using a two-dimension simulation model based on the finite-element method, which includes the diffraction effects of the window. The simulations reveal that the best attenuation is achieved by placing the control sources away from the edges of the window. It also shows that the plane of control sources can be placed centrally with respect to the depth of the walls, for practical implementation with minimal performance degradation. The simulated attenuation as a function of frequency and window width, for different angles of noise incidence, can be used to provide an estimate of the number of control sources, based on the desired level of attenuation. This estimate helps to determine the configuration with the minimum number of control sources required for different scenarios, before a more detailed system design is undertaken.
URI: https://hdl.handle.net/10356/88178
http://hdl.handle.net/10220/44581
ISSN: 0003-682X
DOI: 10.1016/j.apacoust.2018.02.024
Schools: School of Electrical and Electronic Engineering 
Research Centres: Digital Signal Processing Lab 
Rights: © 2018 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Applied Acoustics, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.apacoust.2018.02.024].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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