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

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  • Shaobo Yang

    (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
    Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
    Qingdao Institute for Ocean Engineering of Tianjin University, Tianjin University, Qingdao 266000, China)

  • Shanhua Duan

    (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
    Qingdao Institute for Ocean Engineering of Tianjin University, Tianjin University, Qingdao 266000, China)

  • Linlin Fan

    (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
    Qingdao Institute for Ocean Engineering of Tianjin University, Tianjin University, Qingdao 266000, China)

  • Chongwei Zheng

    (Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
    State Key Laboratory of Estuarine and Coastal Research, Shanghai 200062, China
    Shandong Provincial Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao 266100, China
    Navigation Department)

  • Xingfei Li

    (State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
    Qingdao Institute for Ocean Engineering of Tianjin University, Tianjin University, Qingdao 266000, 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)

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).

Suggested Citation

  • Shaobo Yang & Shanhua Duan & Linlin Fan & Chongwei Zheng & Xingfei Li & Hongyu Li & Jianjun Xu & Qiang Wang & Ming Feng, 2019. "10-Year Wind and Wave Energy Assessment in the North Indian Ocean," Energies, MDPI, vol. 12(20), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3835-:d:275036
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    References listed on IDEAS

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    1. Yingjie Cui & Fei Zhang & Zhongxian Chen, 2023. "Predication of Ocean Wave Height for Ocean Wave Energy Conversion System," Energies, MDPI, vol. 16(9), pages 1-13, April.

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