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Tidal Current Energy Resources Assessment in the Patinti Strait, Indonesia

1Marine Geological Research and Development Center, Ministry of Energy and Mineral Resources, Indonesia

2Department of Oceanography, Bandung Institute of Technology, Indonesia

3Géosciences Océan UMR CNRS 6538, Université Bretagne Sud, 56017 Vannes Cedex, France

4 South-East Asia Carbonate Research Laboratory, Universiti Teknologi Petronas, Perak, Malaysia

5 Department of Coastal Engineering, Bandung Institute of Technology, Indonesia

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Received: 14 Dec 2020; Revised: 15 Feb 2021; Accepted: 24 Feb 2021; Available online: 1 Mar 2021; Published: 1 Aug 2021.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2021 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Indonesia is currently intensively developing its renewable energy resource and targets at least 23% by 2025. As an archipelago country, Indonesia has the potential to benefit from its abundant renewable energy resources from its offshore regions. However, the short tidal range of mixed semi-diurnal and the suitable tidal turbine capacity may hinder marine renewable energy development in Indonesian waters. This paper presents higher-order hydrodynamic numerical models to provide spatial information for tidal current resource assessment of the Patinti Strait. The present study applied the hydrographic and oceanographic method to produce input of the numerical model. Based on the selected simulation analysis, the highest current speed could be identified around Sabatang and Saleh Kecil Island with up to 2.5 m/s in P1 and 1.7 m/s in P4. Besides, the operational hours for the two observation points are 69% and 74.5%, respectively. The results indicate that this location is of prime interest for tidal turbine implementation as an energy source, for medium capacity (300 kW) and high capacity (1 MW).

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Keywords: Tidal current; renewable energy; resource assessment; numerical model; Indonesia

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