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‘PIANO’ : a physics-based semi-empirical source level model for fleet-scale ship URN prediction
Citation Link: https://doi.org/10.15480/882.9335
Publikationstyp
Conference Paper
Date Issued
2024-04-04
Sprache
English
Author(s)
Maritime Research Institute Netherlands (MARIN), Wageningen, the Netherlands
DW-ShipConsult, Schwentinental, Germany
Maritime Research Institute Netherlands (MARIN), Wageningen, the Netherlands
DW-ShipConsult, Schwentinental, Germany
TORE-DOI
Start Page
65
End Page
76
Citation
8th International Symposium on Marine Propulsors (smp 2024)
Contribution to Conference
Publisher
Norwegian University of Science and Technology, Department of Marine Technology
ISBN
978-82-691120-5-4
Peer Reviewed
true
Concern is growing about the impacts of continuous underwater radiated noise (URN) from ships on marine fauna. In anticipation of future regulation new tools are needed for the assessment of ship URN, covering predictions for individual vessels up to basin-scale soundscapes.
In this paper we describe the development of a physicsbased semi-empirical source level model for predicting propeller cavitation noise and machinery noise of ships, which we call the PIANO model. The new model is designed to be applied efficiently at fleet scale, together with Automatic Identification System and ship particulars data, for the generation of sound maps. Furthermore, the model is suitable for use in forecast scenarios in which the effects of mitigation measures on URN are studied.
A description of the model is presented, together with an overview of the required input parameters. Improvements on the state-of-the-art are summarised. Results of model validation using measurements from the Enhancing Cetacean Habitat and Observation (ECHO) Program are reported. Overall the new model provides a higher degree of predictive capability compared to existing models while exhibiting similar levels of accuracy and uncertainty. Despite having been developed for sound mapping studies, it can also be used for early design stage URN predictions.
In this paper we describe the development of a physicsbased semi-empirical source level model for predicting propeller cavitation noise and machinery noise of ships, which we call the PIANO model. The new model is designed to be applied efficiently at fleet scale, together with Automatic Identification System and ship particulars data, for the generation of sound maps. Furthermore, the model is suitable for use in forecast scenarios in which the effects of mitigation measures on URN are studied.
A description of the model is presented, together with an overview of the required input parameters. Improvements on the state-of-the-art are summarised. Results of model validation using measurements from the Enhancing Cetacean Habitat and Observation (ECHO) Program are reported. Overall the new model provides a higher degree of predictive capability compared to existing models while exhibiting similar levels of accuracy and uncertainty. Despite having been developed for sound mapping studies, it can also be used for early design stage URN predictions.
Subjects
underwater radiated noise
cavitation
machinery
source level
semi-empirical
DDC Class
620: Engineering
Publication version
publishedVersion
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Name
Lloyd-PianoAPhysicsbasedSemiempiricalSourceLevelModelForFleetscaleShip-1155-1-final.pdf
Type
Main Article
Size
1.65 MB
Format
Adobe PDF