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

Shaobo Yang, Shanhua Duan, Linlin Fan, Chongwei Zheng, Xingfei Li, Hongyu Li, Jianjun Xu, Qiang Wang and Ming Feng
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Shaobo Yang: State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
Shanhua Duan: State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
Linlin Fan: State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
Chongwei Zheng: Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
Xingfei Li: State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
Hongyu Li: College of Ocean Science and Engineering
Jianjun Xu: South China Sea Institute of Marine Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
Qiang Wang: State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
Ming Feng: State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China

Energies, 2019, vol. 12, issue 20, 1-16

Abstract: 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/m 2 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/m 2 , wave energy density 9–24 KW/m), followed by the Laccadive sea (wind energy density 150–350 W/m 2 , wave energy density 6–9 KW/m), while the central part of the NIO is relatively poor (wind energy density less than 150 W/m 2 , wave energy density below 6 KW/m).

Keywords: North Indian Ocean; WAVEWATCH-III; wind energy; wave energy; energy assessment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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