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Comprehensive Verification and Validation of OpenFAST for Horizontal Axis Marine Hydrokinetic Turbine Modeling

水平軸海洋水力発電タービンモデリングのためのOpenFASTの包括的な検証と妥当性確認 (AI 翻訳)

Kim, Dongyoung, Neary, Vincent

Zenodoプレプリント2026-06-03#再生可能エネルギーOrigin: US
DOI: 10.5281/zenodo.20533454
原典: https://zenodo.org/records/20533454
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🤖 gxceed AI 要約

日本語

本研究は、海洋水力発電タービンのモデリングツールOpenFASTの検証と妥当性確認(V&V)の予備的結果を示す。数値感度解析、コード間比較、実験データとの比較を通じて、負荷、出力性能、後流動態の予測精度を評価する。これにより、海洋再生可能エネルギー分野での信頼性向上に貢献する。

English

This study presents preliminary V&V results for OpenFAST, a widely used tool for marine hydrokinetic turbine modeling. It assesses numerical sensitivity, code-to-code comparisons, and validation against experimental data for loads, power performance, and wake dynamics, enhancing confidence in model predictions.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本論文は米国サンディア国立研究所の研究だが、海洋再生可能エネルギーは日本のエネルギー政策でも注目されており、モデル検証手法は日本の海洋タービン開発にも参考となる。

In the global GX context

This V&V study supports the global marine renewable energy community by improving the reliability of OpenFAST, an open-source modeling tool crucial for turbine design and deployment.

👥 読者別の含意

🔬研究者:Marine energy modelers can adopt the V&V methodology for similar codes.

🏢実務担当者:Turbine developers can use validated OpenFAST predictions for design optimization.

📄 Abstract(原文)

OpenFAST is a widely utilized legacy tool designed for wind and marine turbine modeling and analysis. This study presents preliminary findings from model verification & validation (V&V) efforts for marine hydrokinetic turbine modeling to ensure user confidence in model predictions for loads, power performance and wake dynamics. Model verification includes assessments of numerical sensitivity, such as the dependence on time-step size, discretization through variations in node and panel counts, and numerical convergence criteria for computational methods within OpenFAST. Additional verification efforts involve code-to-code comparisons between two-dimensional panel method-based predictions and unsteady Reynolds-averaged Navier Stokes (URANS) CFD simulations for hydrofoil polars (lift, drag, minimum pressure, and pitching moment), which are critical components for hydrodynamic load estimation within the OpenFAST model. Validation is conducted by comparing OpenFAST model predictions against published experimental data. This data includes measurements obtained from a water tunnel test of a 1:8.7 scale model of the 5.0-meter-diameter U.S. Department of Energy’s Marine Hydrokinetic Family 1 (MHKF1) reference marine turbine rotor, as well as measurements from a 1.6 m diameter turbine tested during the blind prediction stage of the Tidal Turbine Benchmarking Projects conducted by the UK's Engineering and Physical Sciences Research Council (EPSRC) and Supergen Offshore Renewable Energy (ORE) Hub. These dataset encompass rotor loads, power performance, blade bending moments at the blade root and along the blade span, cavitation potential, and wake flow. Although existing experiments provide high-quality measurements, they often require corrections for blockage or flow confinement effects inherent in scaled-model testing setups, introducing further complexity to the validation process. These comprehensive verification and validation strategies serve to enhance confidence in OpenFAST's capability to accurately predict loads, performance characteristics, and wake dynamics for marine hydrokinetic turbine applications. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

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