The usage of predictive software in environmental impact study is very frequent. In this paper, an acoustic noise analysis of an operating industrial plant is performed, both in the internal and in the external environment, with the aid of two different predictive software. A measurement campaign is designed and performed, according to quality procedure, in order to describe the internal acoustic climate, to characterize the noise sources, that are the production machines and operations, and to have reference values to be used in the tuning of the model. With the source characterization, the internal simulations are performed and compared with measured levels. Finally, the simulations of the external surrounding area are made, in two different operating conditions, and combined with the internal simulations. In this way, a procedure to perform complete predictions, both inside and outside the plant, is given, showing, in the validation test, a good agreement with the measured values.

Industrial Settlements Acoustic Noise Impact Study by Predictive Software and Computational Approach

GUARNACCIA, CLAUDIO;QUARTIERI, Joseph;RUGGIERO, Alessandro;LENZA, Tony Luigi Leopoldo
2014

Abstract

The usage of predictive software in environmental impact study is very frequent. In this paper, an acoustic noise analysis of an operating industrial plant is performed, both in the internal and in the external environment, with the aid of two different predictive software. A measurement campaign is designed and performed, according to quality procedure, in order to describe the internal acoustic climate, to characterize the noise sources, that are the production machines and operations, and to have reference values to be used in the tuning of the model. With the source characterization, the internal simulations are performed and compared with measured levels. Finally, the simulations of the external surrounding area are made, in two different operating conditions, and combined with the internal simulations. In this way, a procedure to perform complete predictions, both inside and outside the plant, is given, showing, in the validation test, a good agreement with the measured values.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4386255
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