LiGuo Wang

LiGuo Wang

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
LWLiGuo Wang
LiGuo Wang
JIJan Isberg
Jan Isberg
Elisabetta TedeschiElisabetta Tedeschi
Elisabetta Tedeschi

1 August 2015 in Journal of Hydrodynamics
Verified
Journal Article
Closed access
YLYuehao Luo
Yuehao Luo
LWLiGuo Wang
LiGuo Wang
LGLork Green
Lork Green
KENAN SONGKENAN SONG
KENAN SONG
LWLiang Wang
Liang Wang
RSRobert Smith
Robert Smith

5 September 2022 in Energy Conversion and Management
Verified
Journal Article
Closed access
LWLiGuo Wang
LiGuo Wang
HLHui Li
Hui Li
JJJunChuan Jiang
JunChuan Jiang

29 June 2015 in Energies
Verified
Journal Article
Open access
PDF file
LWLiGuo Wang
LiGuo Wang
JIJan Isberg
Jan Isberg
This paper investigates a passive control method of a point absorbing wave energy converter by considering the displacement and velocity constraints under irregular waves in the time domain. A linear generator is used as a power take-off unit, and the equivalent damping force is optimized to improve the power production of the wave energy converter. The results from nonlinear and linear passive control methods are compared, and indicate that the nonlinear passive control method leads to the excitation force in phase with the velocity of the converter that can significantly improve the energy production of the converter.

1 July 2015 in Journal of Renewable and Sustainable Energy
Verified
Journal Article
Open access
PDF file
LWLiGuo Wang
LiGuo Wang
Jens EngströmJens Engström
Jens Engström
MGMalin Göteman
Malin Göteman
JIJan Isberg
Jan Isberg
This paper investigates a method for optimal control of a point absorbing wave energy converter by considering the constraints on motions and forces in the time domain. The problem is converted to an optimization problem with the cost function being convex quadratic and the constraints being nonlinear. The influence of the constraints on the converter is studied, and the results are compared with uncontrolled cases and established theoretical bounds. Since this method is based on the knowledge of the future sea state or the excitation force, the influence of the prediction horizon is indicated. The resulting performance of the wave energy converter under different regular waves shows that this method leads to a substantial increase in conversion efficiency.

24 April 2024 in Ocean Engineering
Verified
Journal Article
Closed access
LWLiGuo Wang
LiGuo Wang
JLJing Lin
Jing Lin
HLHui Li
Hui Li
JJJunChuan Jiang
JunChuan Jiang
SWShiXuan Wu
ShiXuan Wu
GLGuanYu Lu
GuanYu Lu