Abstract
The maritime key points are important support for marching into the deep blue. They are usually based on the remote islands and reefs, and the power dilemma has always been a worldwide difficulty. Carrying out the wave power generation will help the islands and reefs to achieve electricity self-sufficiency. Evaluation always goes first, followed by resource development. Previous researchers have made great contributions to the study of wave energy in various sea areas around the world. But so far, the wave energy research on the maritime key points of the North Indian Ocean is almost blank. This chapter uses the ERA-interim wave data from the ECMWF to conduct a systematic analysis of the wave energy resources in the Sri Lankan waters (an important node of the Maritime Silk Road), comprehensively including the monthly WPD, monthly available rate, monthly energy level frequency, energy direction and sea state contribution in representative months, monthly energy stability, monthly exploitable storage and long-term trend of wave energy, to provide scientific and technological support and proposal for marching into the deep blue.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akpamar A, Komurcu MI (2013) Assessment of wave energy resource of the Black Sea based on 15-year numerical Hindcast data. Appl Energy 101:502–512
Bao XH, Zhang FQ (2013) Evaluation of NCEP-CFSR, NCEP-NCAR, ERA-Interim, and ERA-40 reanalysis datasets against independent sounding observations over the Tibetan Plateau. J Clim 26:206–214
Bueno LC, Nieto-Borge JC, García-Díaz P, Rodríguez G, Salcedo-Sanz S (2016) Significant wave height and energy flux prediction for marine energy applications: a grouping genetic algorithm—extreme learning machine approach. Renew Energy 97:380–389
Cornett AM (2008) A global wave energy resource assessment. In: Proceedings of the eighteenth international offshore and polar engineering conference, Canada, 2008
Dee DP, Uppala SM, Simmons AJ, et al (2011) The ERA-interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137(656):553–597
Iglesias G, Carballo R (2011) Choosing the site for the first wave farm in a region: a case study in the Galician Southwest (Spain). Energy 36(9):5525–5531
Kamranzad B, Etemad-Shahidi A, Chegini V, Yeganeh-Bakhtiary A (2015) Climate change impact on wave energy in the Persian Gulf. Ocean Dyn 65:777–794
Kamranzad B, Chegini V, Etemad-Shahidi A (2016) Temporal-spatial variation of wave energy and nearshore hotspots in the Gulf of Oman based on locally generated wind waves. Renew Energy 94:341–352
Langodan S, Viswanadhapalli Y, Dasari HP, Knio O, Hoteit I (2016) A high-resolution assessment of wind and wave energy potentials in the Red Sea. Appl Energy 181:244–255
Lenee-Bluhm P, Paasch R, Ozkan-Haller HT (2011) Characterizing the wave energy resource of the US Pacific Northwest. Renew Energy 36:2106–2119
Reikard G, Robertson B, Buckham B, Bidlot JR, Hiles C (2015) Simulating and forecasting ocean wave energy in western Canada. Ocean Eng 103:223–236
Reikard G, Robertson B, Bidlot JR (2017) Wave energy worldwide: simulating wave farms, forecasting, and calculating reserves. Intl J Marine Energy 17:156–185
Ren JL, Luo YY, Zhong YJ (2008) The implementation for the analysis system of ocean wave resources and the application of wave energy power generation. J Zhejiang Univ Technol 36(2):186–191
Ren JL, Luo YY, Chen JJ (2009) Research on wave power application by the information system for ocean wave resources evaluation. Renew Energy 27(3):93–97
Rusu L, Onea F (2017) The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power. Renew Sustain Energy Rev 75:1348–1362
Salcedo-Sanz S, Deo R, Bueno LC, Camacho-Gómez C, Ghimire S (2018) An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia. Appl Energy 209:79–94
Song LN, Liu ZL, Wang F (2015) Comparison of wind data from ERA-Interim and buoys in the Yellow and East China Seas. Chin J Oceanol Limnol 33(1):282–288
Zheng CW (2018) 21st Century Maritime Silk Road: wave energy evaluation and decision and proposal of the Sri Lankan waters. J Harbin Eng Univ 39(4):1–8
Zheng CW, Li CY (2015a) Development of the islands and reefs in the South China Sea: wind power and wave power generation. Period Ocean Univ Chin 45(9):7–14
Zheng CW, Li CY (2015b) Variation of the wave energy and significant wave height in the China Sea and adjacent waters. Renew Sustain Energy Rev 43:381–387
Zheng CW, Li CY (2017) Analysis of temporal and spatial characteristics of waves in the Indian Ocean based on ERA-40 wave reanalysis. Appl Ocean Res 63:217–228
Zheng CW, Li CY (2018) An overview and suggestions on the difficulty of site selection for marine new energy power plant—wave energy as a case study. J Harbin Eng Univ 39(2):200–206
Zheng CW, Zhuang H, Li X, Li XQ (2012) Wind energy and wave energy resources assessment in the East China Sea and South China Sea. Sci Chin Technol Sci 55(1):163–173
Zheng CW, Pan J, Li JX (2013a) Assessing the China Sea wind energy and wave energy resources from 1988 to 2009. Ocean Eng 65:39–48
Zheng CW, Jia BK, Guo SP, Zhuang H (2013b) Wave energy resource storage assessment in global ocean. Resour Sci 35(8):1611–1616
Zheng CW, Li X, Chen X (2016a) Strategic of the 21st century Maritime Silk Road: marine resources and development status. Ocean Dev Manage 33(3):3–8
Zheng CW, Li CY, Li XQ (2016b) Teoporal and spatial distribution of windsea, swell and mixed wave in Indian Ocean. J PLA Univ Sci Technol (Nat Sci Ed) 17(4):379–385
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Zheng, C., Xu, J., Zhan, C., Wang, Q. (2020). Wave Energy Assessment and Proposal in the Sri Lankan Waters. In: 21st Century Maritime Silk Road: Wave Energy Resource Evaluation. Springer Oceanography. Springer, Singapore. https://doi.org/10.1007/978-981-15-0917-9_7
Download citation
DOI: https://doi.org/10.1007/978-981-15-0917-9_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0916-2
Online ISBN: 978-981-15-0917-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)