scholarly journals Wave Power Potential of Sri Lanka

2021 ◽  
Vol 54 (2) ◽  
pp. 1
Author(s):  
H. Karunarathna ◽  
P. Maduwantha ◽  
H. Ratnasooriya ◽  
K. De Silva ◽  
B. Kamranzad
Keyword(s):  
Sri Lanka ◽  
Wave Power ◽  
Wave Power Potential

scholarly journals Impacts of Global Climate Change on the Future Ocean Wave Power Potential: A Case Study from the Indian Ocean

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 3028 ◽  
Author(s):  
Harshinie Karunarathna ◽  
Pravin Maduwantha ◽  
Bahareh Kamranzad ◽  
Harsha Rathnasooriya ◽  
Kasun De Silva
Keyword(s):  
Climate Change ◽  
Sri Lanka ◽  
Indian Ocean ◽  
Global Climate Change ◽  
Global Climate ◽  
Wave Model ◽  
Wave Power ◽  
South West ◽  
Wave Power Potential

This study investigates the impacts of global climate change on the future wave power potential, taking Sri Lanka as a case study from the northern Indian Ocean. The geographical location of Sri Lanka, which receives long-distance swell waves generated in the Southern Indian Ocean, favors wave energy-harvesting. Waves projected by a numerical wave model developed using Simulating Waves Nearshore Waves (SWAN) wave model, which is forced by atmospheric forcings generated by an Atmospheric Global Climate Model (AGCM) within two time slices that represent “present” and “future” (end of century) wave climates, are used to evaluate and compare present and future wave power potential around Sri Lanka. The results reveal that there will be a 12–20% reduction in average available wave power along the south-west and south-east coasts of Sri Lanka in future. This reduction is due mainly to changes to the tropical south-west monsoon system because of global climate change. The available wave power resource attributed to swell wave component remains largely unchanged. Although a detailed analysis of monthly and annual average wave power under both “present” and “future” climates reveals a strong seasonal and some degree of inter-annual variability of wave power, a notable decadal-scale trend of variability is not visible during the simulated 25-year periods. Finally, the results reveal that the wave power attributed to swell waves are very stable over the long term.

Wind and Wave Power Potential

2004 ◽  
Vol 26 (9) ◽  
pp. 891-901 ◽  
Author(s):  
ONDER OZGENER ◽  
KORAY ULGEN ◽  
ARIF HEPBASLI
Keyword(s):  
Wave Power ◽  
Wave Power Potential

scholarly journals Evaluation of spatio-temporal variability of ocean wave power resource around Sri Lanka

Energy ◽  
2020 ◽  
Vol 200 ◽  
pp. 117503 ◽  
Author(s):  
Harshinie Karunarathna ◽  
Pravin Maduwantha ◽  
Bahareh Kamranzad ◽  
Harsha Rathnasooriya ◽  
Kasun de Silva
Keyword(s):  
Sri Lanka ◽  
Temporal Variability ◽  
Ocean Wave ◽  
Wave Power ◽  
Power Resource ◽  
Spatio Temporal

scholarly journals Estimation of wave power in shallow water using deep water wind and wave statistics

2020 ◽  
pp. 147509022096928
Author(s):  
Dag Myrhaug
Keyword(s):  
Shallow Water ◽  
Deep Water ◽  
Mean Value ◽  
Wave Power ◽  
Coastal Zones ◽  
Ocean Area ◽  
Wave Statistics ◽  
Deep Water Wave ◽  
Northern North Sea ◽  
Wave Power Potential

The article addresses how the wave power in shallow water can be estimated based on available wind and wave statistics for a deep water ocean area. The average statistical properties of the wave power in shallow water expressed in terms of the mean value and the standard deviation are presented. Results are exemplified by using long-term wind and wave statistics from the same ocean area in the Northern North Sea. Overall, it appears that there is agreement between the results based on these inputs from wind and wave statistics. The presented analytical method should be useful for making preliminary estimates of the wave power potential in shallow water using either available deep water wind statistics or deep water wave statistics, which enhances the possibilities for assessing further the wave power potential in, for example, near-coastal zones.

Optimized Numerical Model Based Assessment of Wave Power Potential of Marmara Sea

2019 ◽  
Vol 18 (2) ◽  
pp. 293-304
Author(s):  
Yasin Abdollahzadehmoradi ◽  
Mehmet Özger ◽  
Abdüsselam Altunkaynak
Keyword(s):  
Numerical Model ◽  
Wave Power ◽  
Marmara Sea ◽  
Model Based ◽  
Wave Power Potential

scholarly journals Spatial Distribution of the Baltic Sea Near-Shore Wave Power Potential along the Coast of Klaipėda, Lithuania

Energies ◽  
2017 ◽  
Vol 10 (12) ◽  
pp. 2170 ◽  
Author(s):  
Egidijus Kasiulis ◽  
Jens Kofoed ◽  
Arvydas Povilaitis ◽  
Algirdas Radzevičius
Keyword(s):  
Spatial Distribution ◽  
Baltic Sea ◽  
Wave Power ◽  
The Baltic Sea ◽  
Near Shore ◽  
The Baltic ◽  
Wave Power Potential

Estimation of wave power potential along the Indian coastline

Energy ◽  
1982 ◽  
Vol 7 (10) ◽  
pp. 839-845 ◽  
Author(s):  
T.V.S.Narasimha Rao ◽  
V. Sundar
Keyword(s):  
Wave Power ◽  
Wave Power Potential

Long-Term Wave Power Statistics for Individual Waves

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Bernt J. Leira ◽  
Dag Myrhaug
Keyword(s):  
Wave Height ◽  
Wave Climate ◽  
Statistical Information ◽  
Power Device ◽  
Wave Power ◽  
Power Devices ◽  
Short Term ◽  
Wave Power Potential ◽  
The Individual

The paper provides long-term bivariate distributions of wave power with wave height, and wave power with wave period. This is relevant for assessments of wave power devices and their potential for converting energy from waves. The results can be applied to compare systematically the wave power potential for individual waves at different locations based on short-term statistical description of the individual waves and the long-term statistical information of the wave climate. Furthermore, it allows for assessment of the efficiency of a given wave power device for each location.

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