Assessment of wind and wave energy potential along the Indian coast

被引:1
作者
Upadhyaya, K. Sandesh [1 ,3 ]
Rao, Subba [2 ]
Rao, Manu [2 ]
机构
[1] Manipal Acad Higher Educ, Manipal Inst Technol, Dept Civil Engn, Manipal, India
[2] Natl Inst Technol Karnataka, Dept Water Resources & Ocean Engn, Surathkal, India
[3] Manipal Acad Higher Educ, Manipal Inst Technol, Dept Civil Engn, Manipal 576104, Karnataka, India
来源
COGENT ENGINEERING | 2024年 / 11卷 / 01期
关键词
Wind speed; long-term analysis; ERA-Interim; MIKE21; wave power; offshore renewable energy; climate change; Michele Iervolino; Universita degli Studi della Campania 'Luigi Vanvitelli'; Italy; Hydraulic engineering; Marine and offshore structures; Water science; EAST-COAST; PERFORMANCE; CLIMATE; TRENDS; SEA;
D O I
10.1080/23311916.2024.2316950
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The focus is now on sustainable development, which is inevitable without harnessing renewable energy sources. The fundamental element in wind wave generation is the interaction between air and sea which helps in momentum exchange between atmosphere and ocean. The Indian coastline is under a dynamic wave climate with the action of wind. Indian landmass has two tropical basins, the Bay of Bengal and the Arabian Sea, which have tremendous potential to tap renewable energy. The variations in wave climate due to dynamic-wind have to be assessed. Hindcast data obtained from Global Climate Models help us in the long-term analysis of wind and wave climate. In an attempt to explore the renewable energy potential along the Indian coast, a numerical wave model is developed using MIKE 21 SW module to assess the wind and wave climate. A gridded global wind speed dataset from ECMWF called ERA-Interim wind speed data of 38 years (1981 to 2018) is used as input for the numerical model. The dataset and numerical model performance were validated against in-situ measurements. The results showed amongst the locations studied off Goa, Karnataka, Kerala, Tamil Nadu, and Andhra Pradesh had good potential to extract offshore wind energy using offshore wind turbines.
引用
收藏
页数:10
相关论文
共 30 条
  • [1] Bagbanci H., 2012, MARITIME ENG TECHNOL, P553, DOI [10.1201/b12726-78, DOI 10.1002/WE.442]
  • [2] Assessment of large-scale wind resource features in Algeria
    Boudia, Sidi Mohammed
    Santos, Joao Andrade
    [J]. ENERGY, 2019, 189
  • [3] Study of different parameters estimation methods of Weibull distribution to determine wind power density using ground based Doppler SODAR instrument
    Chaurasiya, Prem Kumar
    Ahmed, Siraj
    Warudkar, Vilas
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2018, 57 (04) : 2299 - 2311
  • [4] Comparative analysis of Weibull parameters for wind data measured from met-mast and remote sensing techniques
    Chaurasiya, Prem Kumar
    Ahmed, Siraj
    Warudkar, Vilas
    [J]. RENEWABLE ENERGY, 2018, 115 : 1153 - 1165
  • [5] Chybowski L, 2015, SCI J MARIT UNIV SZC, V41, P17
  • [6] The role of temporal resolution in modeling the wind induced sea surface transport in coastal seas
    Cucco, Andrea
    Quattrocchi, Giovanni
    Zecchetto, Stefano
    [J]. JOURNAL OF MARINE SYSTEMS, 2019, 193 : 46 - 58
  • [7] The ERA-Interim reanalysis: configuration and performance of the data assimilation system
    Dee, D. P.
    Uppala, S. M.
    Simmons, A. J.
    Berrisford, P.
    Poli, P.
    Kobayashi, S.
    Andrae, U.
    Balmaseda, M. A.
    Balsamo, G.
    Bauer, P.
    Bechtold, P.
    Beljaars, A. C. M.
    van de Berg, L.
    Bidlot, J.
    Bormann, N.
    Delsol, C.
    Dragani, R.
    Fuentes, M.
    Geer, A. J.
    Haimberger, L.
    Healy, S. B.
    Hersbach, H.
    Holm, E. V.
    Isaksen, L.
    Kallberg, P.
    Koehler, M.
    Matricardi, M.
    McNally, A. P.
    Monge-Sanz, B. M.
    Morcrette, J. -J.
    Park, B. -K.
    Peubey, C.
    de Rosnay, P.
    Tavolato, C.
    Thepaut, J. -N.
    Vitart, F.
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2011, 137 (656) : 553 - 597
  • [8] DHI, 2015, MIKE 21 wave modelling: MIKE 21 SW-Spectral waves FM
  • [9] Evolution of the global wind wave climate in CMIP5 experiments
    Dobrynin, M.
    Murawsky, J.
    Yang, S.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2012, 39
  • [10] Wave Energy in Tropical Regions: Deployment Challenges, Environmental and Social Perspectives
    Felix, Angelica
    Hernandez-Fontes, Jassiel, V
    Lithgow, Debora
    Mendoza, Edgar
    Posada, Gregorio
    Ring, Michael
    Silva, Rodolfo
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2019, 7 (07)