The Experts below are selected from a list of 267 Experts worldwide ranked by ideXlab platform
Mats Leijon - One of the best experts on this subject based on the ideXlab platform.
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Offshore Wave Power measurements—A review
Renewable and Sustainable Energy Reviews, 2011Co-Authors: Simon Lindroth, Mats LeijonAbstract:The first Wave Power patent was filed in 1799. Since then, hundreds of ideas for extraction of energy from ocean Waves have surfaced. In the process of developing a concept, it is important to lear ...
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Wave Power absorption experiments in open sea and simulation
Journal of Applied Physics, 2007Co-Authors: Mikael Eriksson, Rafael Waters, Olle Svensson, Jan Isberg, Mats LeijonAbstract:A full scale prototype of a Wave Power plant based on a direct drive linear generator driven by a point absorber has been installed at the west coast of Sweden. In this paper, experimentally collected data of energy absorption for different electrical loads are used to verify a model of the Wave Power plant including the interactions of Wave, buoy, generator, and external load circuit. The Wave-buoy interaction is modeled with linear potential Wave theory. The generator is modeled as a nonlinear mechanical damping function that is dependent on piston velocity and electric load. The results show good agreement between experiments and simulations. Potential Wave theory is well suited for the modeling of a point absorber in normal operation and for the design of future converters. Moreover, the simulations are fast, which opens up for simulations of Wave farms.
Naseemunnisa - One of the best experts on this subject based on the ideXlab platform.
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Wind Power and Wave Power Generation Systems with DC Microgrid
International Journal of Research, 2017Co-Authors: Mathagi Kavitha, NaseemunnisaAbstract:In order to study the uncertainty and intermittent characteristics of wind Power and Wave Power, this paper proposes an integrated wind and Wave Power generation system fed to an ac Power grid or connected with an isolated load using a dc microgrid. The proposed dc microgrid connects with a wind Power generator through a voltage-source converter (VSC), a Wave Power generator through a VSC, an energy storage battery through a bidirectional dc/dc converter, a resistive dc load through a load dc/dc converter, and an ac Power grid through a bidirectional grid-tied inverter. The studied integrated wind and Wave system joined with the dc microgrid is modeled and simulated using the written program based on MATLAB/Simulink. Root-loci plots of the studied system under various speeds of the Wave generator are analyzed. To examine the fundamental operating characteristics of the studied integrated system joined with the dc microgrid, a laboratory- scale platform is also established. Comparative simulation and experimental results reveal that the studied integrated system can maintain stable operation to supply Power under different operating conditions using the proposed dc microgrid.
Håvard Heitlo Holm - One of the best experts on this subject based on the ideXlab platform.
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Wave Power Statistics for Sea States
Journal of Offshore Mechanics and Arctic Engineering, 2011Co-Authors: Dag Myrhaug, Bernt J. Leira, Håvard Heitlo HolmAbstract:This paper provides a bivariate distribution of Wave Power and significant Wave height, as well as a bivariate distribution of Wave Power and a characteristic Wave period for sea states, and the statistical aspects of Wave Power for sea states are discussed. This is relevant for, e.g., making assessments of Wave Power devices and their potential for converting energy from Waves. The results can be applied to compare systematically the Wave Power potential at different locations based on long term statistical description of the Wave climate.
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Wave Power Statistics for Sea States
Volume 4: Ocean Engineering; Ocean Renewable Energy; Ocean Space Utilization Parts A and B, 2009Co-Authors: Dag Myrhaug, Bernt J. Leira, Håvard Heitlo HolmAbstract:The paper provides a bivariate distribution of Wave Power and significant Wave height, and the statistical aspects of Wave Power for sea states are discussed. This is relevant for e.g. making assessments of Wave Power devices and their potential for converting energy from Waves. The results can be applied to compare systematically the Wave Power potential at different locations based on long term statistical description of the Wave climate.Copyright © 2009 by ASME
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Wave Power statistics for individual Waves
Applied Ocean Research, 2009Co-Authors: Dag Myrhaug, Bernt J. Leira, Håvard Heitlo HolmAbstract:Abstract The paper provides a bivariate distribution of Wave Power and Wave height, as well as a bivariate distribution of Wave Power and Wave period; both bivariate distributions are for individual Waves within a sea state. This is relevant for e.g. making assessments of Wave Power devices and their potential for converting energy from Waves. The results can be applied to compare systematically the Wave Power potential for individual Waves in a given sea state at different locations.
Xiange Tian - One of the best experts on this subject based on the ideXlab platform.
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IoT-based approach to condition monitoring of the Wave Power generation system
IET Renewable Power Generation, 2019Co-Authors: Peng Qian, Bo Feng, Dahai Zhang, Xiange TianAbstract:Accurate and reliable fault detecting plays a key role in application of grid-connected Wave Power generation systems. This study presents a novel IoT-based approach to condition monitoring of the Wave Power generation system, which has faster operating rate and lower hardware requirement. The compressed sensing (CS) method is adopted to compress the data, which aims to reduce the data uploaded to cloud platform; and then, the extreme learning machine (ELM) algorithm is used to achieve the condition monitoring of Wave Power generation system in cloud platform. In order to validate the effectiveness of the proposed method, the IoT-based Wave Power generation condition monitoring system test platform is established. The experiment results illustrate the high efficiency and reliability of proposed method. The proposed method has a potential of practical applications.
Dag Myrhaug - One of the best experts on this subject based on the ideXlab platform.
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Long-Term Wave Power Statistics for Individual Waves
Journal of Energy Resources Technology, 2015Co-Authors: Bernt J. Leira, Dag MyrhaugAbstract:The paper provides long-term bivariate distributions of Wave Power with Wave height, and Wave Power with Wave period. This is relevant for assessments of Wave Power devices and their potential for converting energy from Waves. The results can be applied to compare systematically the Wave Power potential for individual Waves at different locations based on short-term statistical description of the individual Waves and the long-term statistical information of the Wave climate. Furthermore, it allows for assessment of the efficiency of a given Wave Power device for each location.
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Wave Power Statistics for Sea States
Journal of Offshore Mechanics and Arctic Engineering, 2011Co-Authors: Dag Myrhaug, Bernt J. Leira, Håvard Heitlo HolmAbstract:This paper provides a bivariate distribution of Wave Power and significant Wave height, as well as a bivariate distribution of Wave Power and a characteristic Wave period for sea states, and the statistical aspects of Wave Power for sea states are discussed. This is relevant for, e.g., making assessments of Wave Power devices and their potential for converting energy from Waves. The results can be applied to compare systematically the Wave Power potential at different locations based on long term statistical description of the Wave climate.
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Wave Power Statistics for Sea States
Volume 4: Ocean Engineering; Ocean Renewable Energy; Ocean Space Utilization Parts A and B, 2009Co-Authors: Dag Myrhaug, Bernt J. Leira, Håvard Heitlo HolmAbstract:The paper provides a bivariate distribution of Wave Power and significant Wave height, and the statistical aspects of Wave Power for sea states are discussed. This is relevant for e.g. making assessments of Wave Power devices and their potential for converting energy from Waves. The results can be applied to compare systematically the Wave Power potential at different locations based on long term statistical description of the Wave climate.Copyright © 2009 by ASME
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Wave Power statistics for individual Waves
Applied Ocean Research, 2009Co-Authors: Dag Myrhaug, Bernt J. Leira, Håvard Heitlo HolmAbstract:Abstract The paper provides a bivariate distribution of Wave Power and Wave height, as well as a bivariate distribution of Wave Power and Wave period; both bivariate distributions are for individual Waves within a sea state. This is relevant for e.g. making assessments of Wave Power devices and their potential for converting energy from Waves. The results can be applied to compare systematically the Wave Power potential for individual Waves in a given sea state at different locations.
