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SWELL: An open-access experimental dataset for arrays of wave energy conversion systems

Nicolás Faedo, Yerai Peña-Sanchez, Edoardo Pasta, Guglielmo Papini, Facundo D. Mosquera and Francesco Ferri

Renewable Energy, 2023, vol. 212, issue C, 699-716

Abstract: Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation.

Keywords: Wave energy; Wave energy converters; Array; Farm; Model validation; Data-based modelling (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:212:y:2023:i:c:p:699-716

DOI: 10.1016/j.renene.2023.05.069

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