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Journal Article

Modelling Air Compressibility in OWC Devices with Deformable Air Chambers

Pierre Benreguig; Jimmy Murphy
Journal of Marine Science and Engineering · Vol. 7, Issue 8 · pp. 268 · 2019

Abstract

Air compressibility effects play an important role in large-scale Oscillating Water Column (OWC) wave energy converters. Air compressibility is however not scalable with Froude similarity law. An existing scaling method enables correctly reproducing the air compressibility at the model scale, but its implementation is effortful and becomes cumbersome for floating devices and tests at relatively large scales (1/15th–1/2th). Air compressibility is therefore commonly ignored in model-scale tank testing of conventional OWC devices, which can lead to substantially unrealistic results on the device performance relative to the full-scale device. In the case of the Tupperwave device, which is a closed circuit OWC device, correctly modelling air compressibility during tank testing is however essential because the device relies on air compressibility to work. In this paper, a new method for modelling air compressibility at the model scale is presented. The method uses variable volume chambers, which mimic air compressibility by storing energy under the form of strain energy. This method reduces the difficulties of implementation and enhances the application of the existing method to larger scales. Various applications to this method are identified and described, including the presentation of a novel OWC concept.

Bibliographic Information

JournalJournal of Marine Science and Engineering
PublisherMDPI
Publication Date2019-08-11
Publication Year2019
Volume7
Issue8
Pages268
Document TypeJournal Article
eISSN2077-1312
DOI10.3390/jmse7080268
SubjectMarine science; oceanography; marine engineering; coastal science; marine environment

Access Information

NARA Access CoverageOA / free full text
Journal Homepagehttps://www.mdpi.com/journal/jmse
Publisher PageOpen Publisher Page
This article is openly available from the publisher.