Rudi Nurdiansyah, Jack C. P. Su, I.-Hsuan Hong, Sterling S. Olson, H. Silva
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. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Institute of Industrial Engineering, National Taiwan University 1, Section 4, Roosevelt Road, Taipei City , 106, Taiwan; Department of Mechanical and Industrial Engineering, Universitas Negeri Malang, Malang Jalan Semarang 5, Malang, 65145, Indonesia; Anderson School of Management, University of New Mexico, 1 University of New Mexico, MSC05 3090, Albuquerque, 87131, NM, United States; Sandia National Laboratories, Water Power Technologies Department, 1515 Eubank Blvd SE, Albuquerque, 87123, NM, United States; Department of Mechanical Engineering, University of New Mexico, 1 University of New Mexico, MSC01 1150, Albuquerque, 87131, NM, United States