Assessment of wave power in the South China Sea based on 26-year high-resolution hindcast data. (15th April 2020)
- Record Type:
- Journal Article
- Title:
- Assessment of wave power in the South China Sea based on 26-year high-resolution hindcast data. (15th April 2020)
- Main Title:
- Assessment of wave power in the South China Sea based on 26-year high-resolution hindcast data
- Authors:
- Sun, Ze
Zhang, Haicheng
Xu, Daolin
Liu, Xiaolong
Ding, Jun - Abstract:
- Abstract: Analyzing wave power is important for exploiting renewable energy in the South China Sea, particularly near reef islands. This study analyzes the distribution and evolution of wave power and its harnessing potential in the South China Sea based on 26 years of high-resolution hindcast data. A hindcast simulation of wave characteristics is conducted using the WAVEWATCH III model, which has a 3-hour temporal resolution and a high spatial resolution of 0.067°, and the results are used to evaluate the blocking effect of the island groups. The hindcast data are validated using altimeter data from nine satellites for the entire computing period. The mean values over 26 years, seasonal evolutions, and trends are evaluated to determine the wave power distribution, and variabilities in wave power near coastlines and offshore islands are studied at ten reference points. The results show that the South China Sea has considerable wave power and areas that are rich in power originate from the Luzon Strait. Wave energy near the offshore islands is more stable than that at locations near the Chinese mainland, which indicates that installing a wave farm near the islands would be an economically viable and environmentally friendly way to supply power. Highlights: A 26-year high resolution wave hindcast data for the South China Sea is established and validated. The mean, seasonal, and trend analysis are conducted for the distribution of wave power in the whole domain. Wave powerAbstract: Analyzing wave power is important for exploiting renewable energy in the South China Sea, particularly near reef islands. This study analyzes the distribution and evolution of wave power and its harnessing potential in the South China Sea based on 26 years of high-resolution hindcast data. A hindcast simulation of wave characteristics is conducted using the WAVEWATCH III model, which has a 3-hour temporal resolution and a high spatial resolution of 0.067°, and the results are used to evaluate the blocking effect of the island groups. The hindcast data are validated using altimeter data from nine satellites for the entire computing period. The mean values over 26 years, seasonal evolutions, and trends are evaluated to determine the wave power distribution, and variabilities in wave power near coastlines and offshore islands are studied at ten reference points. The results show that the South China Sea has considerable wave power and areas that are rich in power originate from the Luzon Strait. Wave energy near the offshore islands is more stable than that at locations near the Chinese mainland, which indicates that installing a wave farm near the islands would be an economically viable and environmentally friendly way to supply power. Highlights: A 26-year high resolution wave hindcast data for the South China Sea is established and validated. The mean, seasonal, and trend analysis are conducted for the distribution of wave power in the whole domain. Wave power variability near coastlines and offshore islands are studied at 10 reference points at the depth of 100 m. Wave energy near the offshore islands is found to be more stable than that in the locations near the mainland of China. … (more)
- Is Part Of:
- Energy. Volume 197(2020)
- Journal:
- Energy
- Issue:
- Volume 197(2020)
- Issue Display:
- Volume 197, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 197
- Issue:
- 2020
- Issue Sort Value:
- 2020-0197-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04-15
- Subjects:
- WAVEWATCH III -- Wave power -- South China Sea -- Islands -- Significant wave heights
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2020.117218 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13753.xml