Analytical formula for estimation of surface wave power with application in the coastal ocean of Thailand. (15th May 2020)
- Record Type:
- Journal Article
- Title:
- Analytical formula for estimation of surface wave power with application in the coastal ocean of Thailand. (15th May 2020)
- Main Title:
- Analytical formula for estimation of surface wave power with application in the coastal ocean of Thailand
- Authors:
- Srisuwan, Chatchawin
Rattanamanee, Payom
Rattanapitikon, Winyu - Abstract:
- Abstract: Two common techniques in determining surface wave power include a full wave spectrum integration and a representative wave approach. Under the concept of spectral wave parameterization, a new estimation formula is introduced in this study to capitalize the advantages of both the numerical method and the closed-form solution. The formula was verified using synthetic wave data and its applicable condition is recommended to be in the upper-intermediate to deep water environment. Validation against reliable field wave data showed that the new solution can outperform the representative wave approach by allowing higher estimation performance around 5%–15% on average. The new formula was applied for a practical estimation of wave power in Thailand. While the resulting wave power was found to be relatively low around 0.3 to 1.5 kW/m, the utility of the new solution can be warranted according to its consistency with the full numerical technique. This encouraging outcome is achievable as the deviation of the resulting estimates is limited and symmetric about a neutral mean. In summary, the superiority of the new analytical formula can be attributed to its dependable replication of typical random wave field and its adaptability to irregular wave energy distribution in the nature. Highlights: Analytical formula based on parameterized wave spectrum for wave power estimation. Accuracy and precision improving around 15% and 5% from traditional approach. Synthetic tests showingAbstract: Two common techniques in determining surface wave power include a full wave spectrum integration and a representative wave approach. Under the concept of spectral wave parameterization, a new estimation formula is introduced in this study to capitalize the advantages of both the numerical method and the closed-form solution. The formula was verified using synthetic wave data and its applicable condition is recommended to be in the upper-intermediate to deep water environment. Validation against reliable field wave data showed that the new solution can outperform the representative wave approach by allowing higher estimation performance around 5%–15% on average. The new formula was applied for a practical estimation of wave power in Thailand. While the resulting wave power was found to be relatively low around 0.3 to 1.5 kW/m, the utility of the new solution can be warranted according to its consistency with the full numerical technique. This encouraging outcome is achievable as the deviation of the resulting estimates is limited and symmetric about a neutral mean. In summary, the superiority of the new analytical formula can be attributed to its dependable replication of typical random wave field and its adaptability to irregular wave energy distribution in the nature. Highlights: Analytical formula based on parameterized wave spectrum for wave power estimation. Accuracy and precision improving around 15% and 5% from traditional approach. Synthetic tests showing applicability of the formula in intermediate to deep water. Tests with reliable field datasets confirming the capability of the new formula. Application of the new formula for its utility in evaluating wave power potential. … (more)
- Is Part Of:
- Ocean engineering. Volume 204(2020)
- Journal:
- Ocean engineering
- Issue:
- Volume 204(2020)
- Issue Display:
- Volume 204, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 204
- Issue:
- 2020
- Issue Sort Value:
- 2020-0204-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05-15
- Subjects:
- Renewable ocean energy -- Wave energy flux -- Wave power density -- Wave energy spectra -- Ocean wave modeling
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2020.107273 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20965.xml