Next Article in Journal
A Multisensory, Green, and Energy Efficient Housing Neuromarketing Method
Previous Article in Journal
Circuit Topology and Small Signal Modeling of Variable Duty Cycle Controlled Three-Level LLC Converter
Open AccessArticle

10-Year Wind and Wave Energy Assessment in the North Indian Ocean

1
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
2
Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
3
Qingdao Institute for Ocean Engineering of Tianjin University, Tianjin University, Qingdao 266000, China
4
State Key Laboratory of Estuarine and Coastal Research, Shanghai 200062, China
5
Shandong Provincial Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao 266100, China
6
Navigation Department
7
College of Ocean Science and Engineering
8
South China Sea Institute of Marine Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(20), 3835; https://doi.org/10.3390/en12203835
Received: 24 August 2019 / Revised: 2 October 2019 / Accepted: 3 October 2019 / Published: 10 October 2019
With increasing energy shortages and global warming, clean and renewable energy sources, such as wind and wave energy, have gained widespread attention. In this study, the third-generation wave model WAVEWATCH-III (WW3) is used to simulate wave height in the North Indian Ocean (NIO), from 2008 to 2017, using the wind data from the European Centre for Medium-Range Weather Forecasts Renalysis datasets. The simulated results show good correlation with data obtained from altimetry. Analysis of wind and wave energy resources in the NIO is carried out considering energy density, the exploitable energy, the energy density stability, and monthly and seasonal variability indices. The results show that most areas of the NIO have abundant wind energy and at the Somali Waters are rich in wave energy resources, with wind energy densities above 200 W/m2 and wave energy densities above 15 KW/m. The most energy-rich areas are the Somali Waters, the Arabian Sea, and the southern part of the NIO (wind energy density 350–650 W/m2, wave energy density 9–24 KW/m), followed by the Laccadive sea (wind energy density 150–350 W/m2, wave energy density 6–9 KW/m), while the central part of the NIO is relatively poor (wind energy density less than 150 W/m2, wave energy density below 6 KW/m).
Keywords: North Indian Ocean; WAVEWATCH-III; wind energy; wave energy; energy assessment North Indian Ocean; WAVEWATCH-III; wind energy; wave energy; energy assessment
MDPI and ACS Style

Yang, S.; Duan, S.; Fan, L.; Zheng, C.; Li, X.; Li, H.; Xu, J.; Wang, Q.; Feng, M. 10-Year Wind and Wave Energy Assessment in the North Indian Ocean. Energies 2019, 12, 3835.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop