Hydrodynamic Modeling of Annual Tidal-Current Resources for Deployment Screening and Turbine-Resource Matching
Więcej
Ukryj
1
Department of Mechanical and Industrial Engineering, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
2
Department of Mechanical Engineering, Faculty of Engineering and Informatics, Tegal Muhammadiyah University, Kalibakung, Tegal, 52464, Indonesia
3
Department of Mechanical Engineering, Kalimantan Islamic University of Muhammad Arsyad Al Banjari, Banjarmasin, 70123, Indonesia
4
Departement of Ocean Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
5
Department of Ship Manufacturing Engineering, Politeknik Negeri Banyuwangi, Banyuwangi, 68461, Indonesia
Autor do korespondencji
Muhammad Agung Bramantya
Department of Mechanical and Industrial Engineering, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Tidal-current resource assessment should extend beyond peak velocity to account for temporal persistence, spatial continuity, and turbine–resource compatibility. This study develops an integrated resource-to-deployment assessment for the Alas Strait, Indonesia, using a three-dimensional Delft3D-FLOW model evaluated against 720 hourly acoustic Doppler current profiler velocity observations and applied to a continuous 365-day tide-driven simulation. Model evaluation against 720 synchronized hourly pairs of signed depth-averaged ADCP and simulated velocities yielded R² = 0.889 and RMSE = 0.242 m/s, supporting the model’s ability to reproduce the dominant tide-driven variability at the evaluation station. At the representative central-channel location, annual mean and maximum current speeds were 2.385 and 4.195 m/s, while speeds ≥1.5 m/s persisted for 94.01% of the year. Combining annual resource magnitude, a preferred 25–45 m water-depth range, and spatial continuity identified a connected hydrodynamic deployment corridor. A 48-case parametric turbine-resource analysis showed that rated current speed strongly influenced relative resource utilization, whereas rated power primarily scaled gross energy yield at a fixed rated speed within the physically admissible Cp domain. The highest gross AEP within the tested admissible grid was 8.522 GWh/yr for the 1.75 MW/3.0 m/s combination, while lower rated speeds favored higher gross capacity factors. These gross energy estimates are derived from simplified, uncoupled turbine power curves and should be interpreted as preliminary resource-screening indicators rather than predictions of net energy production or commercial-scale performance. The findings demonstrate that preliminary deployment screening should integrate annual resource persistence, spatial and depth compatibility, and turbine operating characteristics rather than rely on peak resource magnitude or nominal turbine rating alone.