Analysis of Wind Energy Potential in Sri Lankan Waters Based on ERA5 (ECMWF Reanalysis v5) and CCMP (Cross-Calibrated Multi-Platform)

Author:

Yao Jinglong12,Miao Yating12,Kumara P. B. Terney Pradeep3ORCID,Arulananthan K.4,Zhang Zhenqiu15,Zhou Wei15ORCID

Affiliation:

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China

2. College of Marine Science, University of Chinese Academy of Sciences, Beijing 100049, China

3. Department of Oceanography and Marine Geology, University of Ruhuna, Matara 81000, Sri Lanka

4. National Aquatic Resources Research and Development Agency, Colombo 01500, Sri Lanka

5. China-Sri Lanka Belt and Road Joint Laboratory on Tropical Oceanography, Guangzhou 510301, China

Abstract

Amid global energy demands and environmental concerns, the exploration of renewable energy sources has become critically important. This study presents a comprehensive analysis of wind energy dynamics over a 35-year period (1988–2022) using CCMP and ERA5 datasets. It focuses on the spatial and temporal characteristics of wind energy within the region, particularly its distribution. The wind field in Sri Lanka has significant seasonal and regional characteristics. Despite seasonal variations, the overall wind activity remains moderate, with speeds generally above 5.4 m/s and annual average wind power densities exceeding 150 W/m2, reaching up to 200 W/m2 in certain areas. The two primary wind directions in the waters near Sri Lanka are WSW and NE. The study identifies periods of high stability, particularly from June to August, where effective wind speed occurrence (EWSO) exceeds 80%. A ‘W’-shaped pattern in monthly variations corresponds with changes in wind power density (WPD), highlighting optimal periods for wind energy extraction. Additionally, estimated reserves and technically exploitable wind energy resources (WERs) suggest that wind energy development off Sri Lanka is feasible, with potential capacities of approximately 2.00 GW and 1.60 GW, respectively. The overall coefficient of variation (CV) is small, indicating stable wind energy conditions. This analysis not only provides a scientific basis for evaluating WERs near Sri Lanka but also offers valuable insights for strategic planning and development in the renewable energy sector.

Publisher

MDPI AG

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