Industrial spaces are known to be very noisy working environment. This noise exposure can be uncomfortable, tiring, or even\r\nharmful, at worst. Industrial spaces have several characteristics: they are often huge flat volumes fitted with many obstacles and\r\nsound sources. Moreover, they are usually surrounded by rooms where low noise levels are required. The existing prediction tools\r\ncan seldom model all these phenomena accurately. In this paper, a prediction model based on a diffusion equation is presented.\r\nThe successive developments carried out to deal with the various propagating phenomena met in industrial spaces are shown. For\r\neach phenomenon, numerical or experimental examples are given to highlight the validity of this model. It is also shown that its\r\ncomputation load is very little in comparison to ray-tracing-based methods. In addition, this model can be used as a reliable and\r\nflexible tool to study the physics of the coupling between rooms. Finally, an application to a virtual factory is presented.
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