Evaluation of offshore wind energy resources for power generation based on scatterometer and SAR data along the Indian coast

被引:5
作者
Kumar, S. V. V. Arun [1 ]
Jagdish [1 ]
Kumar, Raj [1 ]
机构
[1] Ctr Space Applicat, Earth Ocean Atmosphere Planetary Sci & Applicat A, Ahmadabad 380015, Gujarat, India
来源
REMOTE SENSING OF THE OCEANS AND INLAND WATERS: TECHNIQUES, APPLICATIONS, AND CHALLENGES | 2016年 / 9878卷
关键词
Wind energy; scatterometer; RISAT-1; SAR; wind power;
D O I
10.1117/12.2225057
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
India has the fifth largest installed wind power capacity in the world, mainly from onshore wind farms. As on today, there are no offshore wind power farms installed in the country. However, with the utilization of onshore and the proposed offshore wind farms, it is expected to reach 60,000 MW generation capacities by 2022. A large amount of data is necessary to assess the wind potential for these future wind farms. Offshore buoys and meteorological masts are both scarce and expensive. In the present study, we have utilized QuikSCAT (2000-2009), OSCAT (2010-2014), ASCAT (2012-2015) scatterometer and RISAT-1 SAR (2012-2014) data to evaluate the possible wind energy resources along the Indian coast. Orbit wise scatterometer wind products have been processed to generate long-term synoptic monthly means along the entire coast. The monthly average wind energy density (in W/m(2)) has been computed and extended up to 80 m height (standard wind turbine height) using power law. As scatterometer data are relatively coarser and unavailable near the coast, high resolution winds have been retrieved using RISAT-1 SAR data. However, due to inherent limitations of having lesser swath and data availability of SAR, presently the study has been conducted along Gujarat coast. Then, unit capacity of wind power was computed and potential sites are identified for the wind farms. The data is very useful in identifying potential sites of wind energy in the coastal and offshore regions. We are planning to extend this study for the entire Indian coast in the near future.
引用
收藏
页数:8
相关论文
共 16 条
  • [1] Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting
    Capps, Scott B.
    Zender, Charles S.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2010, 115
  • [2] Dagestad K.-F., 2013, P SEASAR 2012 4 SAR, V22
  • [3] Deng Yuanchang, 2010, Acta Scientiarum Naturalium Universitatis Sunyatseni, V49, P53
  • [4] Eight years of wind measurements from scatterometer for wind resource mapping in the Mediterranean Sea
    Furevik, Birgitte R.
    Sempreviva, Anna M.
    Cavaleri, Luigi
    Lefevre, Jean-Michel
    Transerici, Claudio
    [J]. WIND ENERGY, 2011, 14 (03) : 355 - 372
  • [5] Wind retrieval over the ocean using synthetic aperture radar with C-band HH polarization
    Horstmann, J
    Koch, W
    Lehner, S
    Tonboe, R
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (05): : 2122 - 2131
  • [6] Evaluating the spatio-temporal variation of China's offshore wind resources based on remotely sensed wind field data
    Jiang, Dong
    Zhuang, Dafang
    Huang, Yaohuan
    Wang, Jianhua
    Fu, Jingying
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 24 : 142 - 148
  • [7] Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite
    Karagali, Ioanna
    Pena, Alfredo
    Badger, Merete
    Hasager, Charlotte Bay
    [J]. WIND ENERGY, 2014, 17 (01) : 123 - 140
  • [8] Wind fields over the Great Lakes measured by the SeaWinds scatterometer on the QuikSCAT satellite
    Nghiem, SV
    Leshkevich, GA
    Stiles, BW
    [J]. JOURNAL OF GREAT LAKES RESEARCH, 2004, 30 (01) : 148 - 165
  • [9] Combining meteorological stations and satellite data to evaluate the offshore wind power resource of southeastern Brazil
    Pimenta, Felipe
    Kempton, Willett
    Garvine, Richard
    [J]. RENEWABLE ENERGY, 2008, 33 (11) : 2375 - 2387
  • [10] Observation of tropical cyclones by high-resolution scatterometry
    Quilfen, Y
    Chapron, B
    Elfouhaily, T
    Katsaros, K
    Tournadre, J
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C4) : 7767 - 7786