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TSI took part in the webinar \u201cAnalytical Modelling Approaches for Underwater Noise Reduction in Shipping\u201d<\/em>, organised by the LOWNOISER<\/strong> team and coordinated by Emilie Dorgeville from Maritime CleanTech<\/strong>. During the session, our colleague Roque Andr\u00e9s, R&D engineer and acoustics expert at TSI<\/strong>, shared the progress of our work on improving the assessment and prediction of Underwater Radiated Noise (URN) from ships<\/strong> by combining analytical models, onboard monitoring and operational data.<\/p>\n Underwater Radiated Noise from shipping is receiving increasing attention across the maritime sector. Understanding how this noise is generated, how it is transmitted through the vessel structure and how it changes under different operating conditions is essential for developing effective measures to reduce it.<\/p>\n At TSI, our experience in noise and vibration, underwater acoustics and monitoring systems<\/strong> allows us to address this challenge from different perspectives. Part of this research is currently being carried out within the European LOWNOISER project.<\/p>\n \n One of the questions we are working on is how to obtain a more accurate understanding of the noise radiated into the water by a vessel under different operating conditions<\/strong>, and how to assess the effect of measures implemented to reduce it. Our approach combines analytical models with data from onboard monitoring systems and vessel operational parameters<\/strong>.<\/p>\n Sensors installed at different locations provide information on machinery and structural vibration, while other measurements associated with the propulsion system allow us to analyse phenomena such as cavitation. This information helps us understand what is happening onboard during vessel operation and study how it relates to the noise ultimately radiated into the water.<\/p>\n <\/p>\nUsing onboard monitoring to improve Underwater Radiated Noise (URN) prediction.<\/h2>\n