A high-resolution wave energy resource assessment of Indonesia

被引:25
|
作者
Ribal, Agustinus [1 ,2 ]
Babanin, Alexander, V [1 ]
Zieger, Stefan [3 ]
Liu, Qingxiang [1 ]
机构
[1] Univ Melbourne, Melbourne Sch Engn, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia
[2] Hasanuddin Univ, Fac Math & Nat Sci, Dept Math, Makassar 90245, Indonesia
[3] Bur Meteorol, Res Program, Melbourne, Vic, Australia
关键词
Wave energy; Wave hindcast; Wave climate; Ocean renewable energy; WIND-SPEED; MODEL; CLIMATE; TRENDS; SHELF; SWELL;
D O I
10.1016/j.renene.2020.06.017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Indonesia is an archipelago country with great potential for marine renewable energy, particularly for wave energy. This study will provide a wave energy assessment of Indonesia over a 6.5-year period (2011-2017) with resolution about 5.5 km. This assessment is based on data generated with a two-way nested high-resolution wave model WAVEWATCH III with observation-based physics (ST6). Three grids have been generated, namely a 'high resolution' of 3 arc-minute (0.05 degrees) grid is nested inside a 12 arc-minute (0.21 grid which is nested within a 0.5 degrees global grid. Validations against altimeters and buoys show good agreement with the model. Mean wave energy has been classified based on meteorological seasons and it is found that the most energetic months are June, July, August for all areas of south, southwest and west of Indonesia where it can exceed 30 kW/m. In some locations wave energy is available throughout the entire year, that is in the south of Jawa island, Bali island and West Nusa Tenggara while in the region of west Sumatera, promising wave energy is available during the time from March to November. In addition, within the Indonesian Archipelago the monthly variations are about 5 kW/m and relatively small in terms of absolute values but this region is large relative to the mean wave power energy. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1349 / 1363
页数:15
相关论文
共 50 条
  • [1] High-resolution hindcasts for U.S. wave energy resource characterization
    Yang Z.
    Neary V.S.
    International Marine Energy Journal, 2020, 3 (02): : 65 - 71
  • [2] A high-resolution, long-term wave resource assessment of Japan with wave–current effects
    Webb, A.
    Waseda, T.
    Kiyomatsu, K.
    Waseda, T. (waseda@k.u-tokyo.ac.jp), 1600, Elsevier Ltd (161): : 1341 - 1358
  • [3] High-Resolution Wave Energy Assessment in Shallow Water Accounting for Tides
    Silva, Dina
    Rusu, Eugen
    Soares, Carlos Guedes
    ENERGIES, 2016, 9 (09)
  • [4] A high-resolution assessment of wind and wave energy potentials in the Red Sea
    Langodan, Sabique
    Viswanadhapalli, Yesubabu
    Dasari, Hari Prasad
    Knio, Omar
    Hoteit, Ibrahim
    APPLIED ENERGY, 2016, 181 : 244 - 255
  • [5] A high-resolution, long-term wave resource assessment of Japan with wave-current effects
    Webb, A.
    Waseda, T.
    Kiyomatsu, K.
    RENEWABLE ENERGY, 2020, 161 : 1341 - 1358
  • [6] Wave Energy Resource Assessment Based on Satellite Observations around Indonesia
    Ribal, Agustinus
    Zieger, Stefan
    PROCEEDINGS OF THE 3RD AUN/SEED-NET REGIONAL CONFERENCE ON ENERGY ENGINEERING AND THE 7TH INTERNATIONAL CONFERENCE ON THERMOFLUIDS (RCENE/THERMOFLUID 2015), 2016, 1737
  • [7] Wave farm planning through high-resolution resource and performance characterization
    Carballo, R.
    Arean, N.
    Alvarez, M.
    Lopez, I.
    Castro, A.
    Lopez, M.
    Iglesias, G.
    RENEWABLE ENERGY, 2019, 135 : 1097 - 1107
  • [8] Pulse energy evolution for high-resolution Lamb wave inspection
    Hua, Jiadong
    Lin, Jing
    Zeng, Liang
    Gao, Fei
    SMART MATERIALS AND STRUCTURES, 2015, 24 (06)
  • [9] ASSESSMENT OF WIND AND WAVE HIGH-RESOLUTION FORECASTS DURING HIGH-ENERGY WEATHER EVENTS IN THE BRAZILIAN COAST
    Chagas, F. M.
    Rachid, B. R. F.
    Ambrosio, B. G.
    Luz, A. A.
    Gramcianinov, C. B.
    Serrao, P. F.
    Camargo, R.
    Siegle, E.
    PROCEEDINGS OF ASME 2021 40TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING (OMAE2021), VOL 6, 2021,
  • [10] Multi-decade high-resolution regional hindcasts for wave energy resource characterization in US coastal waters
    Yang, Zhaoqing
    Medina, Gabriel Garcia
    Neary, Vincent S.
    Ahn, Seongho
    Kilcher, Levi
    Bharath, Aidan
    RENEWABLE ENERGY, 2023, 212 : 803 - 817