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A surrogate model-based framework to calibrate the turbulence parameters of a vegetative canopy model for a marine turbine simulation

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Abstract

Generating sustainable energy from marine currents using marine turbines garners much attention in recent years. Assessments of marine turbine arrays require computationally expensive and very large domain simulations. This paper proposes a framework based on a surrogate model approach paired with optimization algorithms to calibrate the adjustable parameters value of the simulator and minimize the deviation between the simulation outputs and the physical experiment results. We find that the application of more advanced surrogate models and optimization techniques improved performance by 16.97% compared to the previous approach. We identify an easy-to-implement opportunity to further improve the performance. Based on descriptive statistics, we design a visual tool that evaluates the quality of sample data quickly and easily.

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Data availability

The authors confirm that the data supporting the findings of this study are explained as follows: the physical experiment data are available in Mycek et al. (2014). The simulation results of the surrogate model were generated at Sandia National Laboratory, US. Derived data supporting the findings of this study are available from the corresponding author [Rudi] on request.

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Acknowledgements

The first author gratefully acknowledges the funding received towards his PhD from The Islamic Development Bank (IsDB) and The Ministry of Education, Culture, Research, and Technology of Indonesia. The authors are grateful for the editorial services of Ann Stewart. This research was supported in part by the Ministry of Science and Technology, Taiwan, under Grant MOST 108-2628-E-002-005-MY3 and National Taiwan University under Grant NTU-CDP-110L7714. This article was subsidized for English editing by National Taiwan University under the Excellence Improvement Program for Doctoral Students (grant number 108-2926-I-002-002-MY4), sponsored by the Ministry of Science and Technology, Taiwan.

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Authors and Affiliations

  1. Institute of Industrial Engineering, National Taiwan University 1, Section 4, Roosevelt Road, Taipei City 106, Taiwan

    Rudi Nurdiansyah & I.-Hsuan Hong

  2. Department of Mechanical and Industrial Engineering, Universitas Negeri Malang, Malang Jalan Semarang 5, Malang, 65145, Indonesia

    Rudi Nurdiansyah

  3. Anderson School of Management, University of New Mexico, 1 University of New Mexico, MSC05 3090, Albuquerque, NM, 87131, USA

    Jack C. P. Su

  4. Sandia National Laboratories, Water Power Technologies Department, 1515 Eubank Blvd SE, Albuquerque, NM, 87123, USA

    Sterling S. Olson

  5. Department of Mechanical Engineering, University of New Mexico, 1 University of New Mexico, MSC01 1150, Albuquerque, NM, 87131, USA

    H. Silva III

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  1. Rudi Nurdiansyah
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Correspondence to H. Silva III.

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I-Hsuan Hong holds a joint appointment with the Department of Mechanical Engineering, National Taiwan University, Taiwan.

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Nurdiansyah, R., Su, J.C.P., Hong, IH. et al. A surrogate model-based framework to calibrate the turbulence parameters of a vegetative canopy model for a marine turbine simulation. J. Ocean Eng. Mar. Energy 9, 531–545 (2023). https://doi.org/10.1007/s40722-023-00282-1

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