Towards realistically predicting the power outputs of wave energy converters: Nonlinear simulation
Creators
- 1. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240 (China)
- 2. Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration(CISSE), Shanghai, 200240 (China)
- 3. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, 200240 (China)
- 4. Department of Electrical Automation, Shanghai Maritime University, Shanghai, 201306 (China)
Description
Highlights: • A new method (a nonlinear simulation method) is proposed. • The method incorporates a second order random wave model. • A nonlinear dynamic filter is utilized. • The advantages of the new method are demonstrated. This paper focuses on realistically predicting the power outputs of wave energy converters operating in shallow water nonlinear waves. An oscillating surge wave energy converter (OSWEC) is utilized as a specific calculation example, and the generated power of the OSWEC has been predicted by using a new method (a nonlinear simulation method) that incorporates a second order random wave model into a nonlinear dynamic filter. It is demonstrated that the second order random wave model in this article can be utilized to generate irregular waves with realistic crest-trough asymmetries, and when used in combination with the nonlinear filter can produce more accurate power output predictions. The research findings demonstrate that the new nonlinear simulation method in this article can be utilized as a robust tool for ocean engineers in their design, analysis and optimization of wave energy converters.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2017.12.023Additional details
Identifiers
- DOI
- 10.1016/j.energy.2017.12.023;
- PII
- S036054421732042X;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 144
- Journal Page Range
- p. 120-128
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53001273
- Subject category
- S42: ENGINEERING; S16: TIDAL AND WAVE POWER;
- Descriptors DEI
- FILTERS; FORECASTING; NONLINEAR PROBLEMS; OPTIMIZATION; POWER GENERATION; SIMULATION; SURGES; WATER; WAVE ENERGY CONVERTERS
- Descriptors DEC
- HYDROGEN COMPOUNDS; OXYGEN COMPOUNDS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Ltd. All rights reserved.