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Buildings 2018, 8(6), 78; https://doi.org/10.3390/buildings8060078

Occupancy-Driven Energy-Efficient Buildings Using Audio Processing with Background Sound Cancellation

School of Architecture, Southern Illinois University Carbondale, Carbondale, IL 62901, USA
Received: 4 May 2018 / Revised: 4 June 2018 / Accepted: 5 June 2018 / Published: 7 June 2018
(This article belongs to the Special Issue Innovative Approaches to Achieving Building Energy Efficiency)
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Abstract

Demand-driven HVAC (heating, ventilation, and air conditioning) operation is essential in occupant-oriented smart buildings, where the levels of heating, cooling, and ventilation are intelligently regulated to avoid energy waste. Despite the great potential of building energy efficiency, one of the remaining technical challenges is how to accurately estimate building occupancy information in real time. In this paper, this design challenge is addressed. An advanced audio-processing technique is adopted that minimizes the impacts of environmental sounds on the recorded voice sounds of humans. Adopted mathematical modeling and signal processing procedures are elaborated in this work. Experimental studies show that our proposed audio processing with background sound cancellation algorithm improves the estimation accuracy of room occupancy quantity by approximately 11–12%, which results in an averaged ventilation energy reduction of 3.54% compared to the case of not applying background sound cancellation. The proposed audio-processing technique is promising to achieve non-intrusive, cost-effective, robust, and accurate solutions for building occupancy estimation. View Full-Text
Keywords: energy efficient building; background noise cancellation; occupancy detection; acoustic energy efficient building; background noise cancellation; occupancy detection; acoustic
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Huang, Q. Occupancy-Driven Energy-Efficient Buildings Using Audio Processing with Background Sound Cancellation. Buildings 2018, 8, 78.

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