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Keyword: Energy Modeling

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Solution verification of WECs: comparison of methods to estimate numerical uncertainties in the OES wave energy modeling task

Claes Eskilsson, Alex Shiri & Eirini Katsidoniotaki

High-fidelity models become more and more used in the wave energy sector. They offer a fully nonlinear simulation tool that in theory should encompass all linear and nonlinear forces acting on a wave energy converter (WEC). Studies using high-fidelity models are usually focusing on validation of the model. However, a validated model does not necessarily provide reliable solutions. Solution verification is the methodology to estimate the numerical uncertainties related to a simulation. In this work we test four different approaches: the classical grid convergence index (GCI); a least-squares version (LS-GCI); a simplified version of the least-square method (SLS-GCI); and the ITTC recommended practice. The LS-GCI requires four or more solutions whereas the other three methods only need three solutions. We apply these methods to four different high-fidelity models for the case of a heaving sphere. We evaluate the numerical uncertainties for two parameters in the time domain and two parameters in the frequency domain. It was found that the GCI and ITTC were hard to use on the frequency domain parameters as they require monotonic convergence which sometimes does not happen due to the differences in the solutions being very small. The SLS-GCI performed almost as well as the SL-GCI method and will be further investigated.

European Wave and Tidal Energy Conference / 2023
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paper

Ocean energy systems wave energy modeling task: Modelling, verification and validation of wave energy converters

Fabian Wendt, Kim Nielsen, Yi Hsiang Yu, Harry Bingham, Claes Eskilsson , Morten Kramer , Aurélien Babarit, Tim Bunnik, Ronan Costello, Sarah Crowley, Benjamin Gendron, Giuseppe Giorgi, Simone Giorgi, Samuel Girardin, Deborah Greaves, Pilar Heras, Johan Hoffman, Hafizul Islam, Ken Robert Jakobsen, Carl Erik JansonJohan Jansson, Hyun Yul Kim, Jeong Seok Kim, Kyong Hwan Kim, Adi Kurniawan, Massimiliano Leoni, Thomas Mathai, Bo Woo Nam, Sewan Park, Krishnakumar Rajagopalan, Edward Ransley, Robert Read, John V. Ringwood, José Miguel Rodrigues, Benjamin Rosenthal, André Roy, Kelley Ruehl, Paul Schofield, Wanan Sheng, Abolfazl Shiri, Sarah Thomas, Imanol Touzon & Imai Yasutaka

The International Energy Agency Technology Collaboration Program for Ocean Energy Systems (OES) initiated the OES Wave Energy Conversion Modeling Task, which focused on the verification and validation of numerical models for simulating wave energy converters (WECs). The long-term goal is to assess the accuracy of and establish confidence in the use of numerical models used in design as well as power performance assessment of WECs. To establish this confidence, the authors used different existing computational modeling tools to simulate given tasks to identify uncertainties related to simulation methodologies: (i) linear potential flow methods; (ii) weakly nonlinear Froude–Krylov methods; and (iii) fully nonlinear methods (fully nonlinear potential flow and Navier–Stokes models). This article summarizes the code-to-code task and code-to-experiment task that have been performed so far in this project, with a focus on investigating the impact of different levels of nonlinearities in the numerical models. Two different WECs were studied and simulated. The first was a heaving semi-submerged sphere, where free-decay tests and both regular and irregular wave cases were investigated in a code-to-code comparison. The second case was a heaving float corresponding to a physical model tested in a wave tank. We considered radiation, diffraction, and regular wave cases and compared quantities, such as the WEC motion, power output and hydrodynamic loading.

Journal of Marine Science and Engineering / 2019
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