Published February 2018 | Version v1
Journal article

Towards realistically predicting the power outputs of wave energy converters: Nonlinear simulation

  • 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.2017.12.023

Additional 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.