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

Published: 24 May 2023| Version 2 | DOI: 10.17632/n34wcksmts.2
Nicolás Faedo,


Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present an open-access dataset on WEC farms: SWELL (Standardised wave energy converter array learning library). The generated dataset comprises an approximate total of ∼3000 variables and more than ∼10^8 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy. For details on the database structure, please see: https://www.sciencedirect.com/science/article/abs/pii/S0960148123006924?via%3Dihub



Aalborg Universitet, Universidad del Pais Vasco, Universidad Nacional de la Plata, Politecnico di Torino


Renewable Conversion, Wave Power, Renewable Energy, Model Validation, Sustainable Development Goals


European Cooperation in Science and Technology


H2020 Marie Skłodowska-Curie Actions


H2020 Marie Skłodowska-Curie Actions