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Title: System Identification of a Heaving Point Absorber: Design of Experiment and Device Modeling

Abstract

Empirically based modeling is an essential aspect of design for a wave energy converter. Empirically based models are used in structural, mechanical and control design processes, as well as for performance prediction. Both the design of experiments and methods used in system identification have a strong impact on the quality of the resulting model. This study considers the system identification and model validation process based on data collected from a wave tank test of a model-scale wave energy converter. Experimental design and data processing techniques based on general system identification procedures are discussed and compared with the practices often followed for wave tank testing. The general system identification processes are shown to have a number of advantages, including an increased signal-to-noise ratio, reduced experimental time and higher frequency resolution. The experimental wave tank data is used to produce multiple models using different formulations to represent the dynamics of the wave energy converter. These models are validated and their performance is compared against one another. Here, while most models of wave energy converters use a formulation with surface elevation as an input, this study shows that a model using a hull pressure measurement to incorporate the wave excitation phenomenon has bettermore » accuracy.« less

Authors:
 [1];  [1];  [1];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1411883
Alternate Identifier(s):
OSTI ID: 1411882
Report Number(s):
SAND2017-3272J; SAND2017-1386J
Journal ID: ISSN 1996-1073; ENERGA; 656113
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Energies (Basel)
Additional Journal Information:
Journal Name: Energies (Basel); Journal Volume: 10; Journal Issue: 4; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English
Subject:
13 HYDRO ENERGY

Citation Formats

Bacelli, Giorgio, Coe, Ryan G., Patterson, David, and Wilson, David. System Identification of a Heaving Point Absorber: Design of Experiment and Device Modeling. United States: N. p., 2017. Web. doi:10.3390/en10040472.
Bacelli, Giorgio, Coe, Ryan G., Patterson, David, & Wilson, David. System Identification of a Heaving Point Absorber: Design of Experiment and Device Modeling. United States. doi:10.3390/en10040472.
Bacelli, Giorgio, Coe, Ryan G., Patterson, David, and Wilson, David. Mon . "System Identification of a Heaving Point Absorber: Design of Experiment and Device Modeling". United States. doi:10.3390/en10040472. https://www.osti.gov/servlets/purl/1411883.
@article{osti_1411883,
title = {System Identification of a Heaving Point Absorber: Design of Experiment and Device Modeling},
author = {Bacelli, Giorgio and Coe, Ryan G. and Patterson, David and Wilson, David},
abstractNote = {Empirically based modeling is an essential aspect of design for a wave energy converter. Empirically based models are used in structural, mechanical and control design processes, as well as for performance prediction. Both the design of experiments and methods used in system identification have a strong impact on the quality of the resulting model. This study considers the system identification and model validation process based on data collected from a wave tank test of a model-scale wave energy converter. Experimental design and data processing techniques based on general system identification procedures are discussed and compared with the practices often followed for wave tank testing. The general system identification processes are shown to have a number of advantages, including an increased signal-to-noise ratio, reduced experimental time and higher frequency resolution. The experimental wave tank data is used to produce multiple models using different formulations to represent the dynamics of the wave energy converter. These models are validated and their performance is compared against one another. Here, while most models of wave energy converters use a formulation with surface elevation as an input, this study shows that a model using a hull pressure measurement to incorporate the wave excitation phenomenon has better accuracy.},
doi = {10.3390/en10040472},
journal = {Energies (Basel)},
number = 4,
volume = 10,
place = {United States},
year = {2017},
month = {4}
}

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Works referenced in this record:

A Comparison of Selected Strategies for Adaptive Control of Wave Energy Converters
journal, March 2011

  • Hals, Jørgen; Falnes, Johannes; Moan, Torgeir
  • Journal of Offshore Mechanics and Arctic Engineering, Vol. 133, Issue 3
  • DOI: 10.1115/1.4002735

Identification of Wave Energy Device Models From Numerical Wave Tank Data—Part 2: Data-Based Model Determination
journal, July 2016

  • Giorgi, Simone; Davidson, Josh; Ringwood, John V.
  • IEEE Transactions on Sustainable Energy, Vol. 7, Issue 3
  • DOI: 10.1109/TSTE.2016.2515500

Linear parametric hydrodynamic models for ocean wave energy converters identified from numerical wave tank experiments
journal, July 2015


State-space modelling of a vertical cylinder in heave
journal, October 1995


Time- vs. Frequency-domain Identification of Parametric Radiation Force Models for Marine Structures at Zero Speed
journal, January 2008

  • Perez, Tristan; Fossen, Thor I.
  • Modeling, Identification and Control: A Norwegian Research Bulletin, Vol. 29, Issue 1
  • DOI: 10.4173/mic.2008.1.1

Truncation of nonlinear system expansions in the frequency domain
journal, January 1997


A Matlab Toolbox for Parametric Identification of Radiation-Force Models of Ships and Offshore Structures
journal, January 2009

  • Perez, Tristan; Fossen, Thor Inge
  • Modeling, Identification and Control: A Norwegian Research Bulletin, Vol. 30, Issue 1
  • DOI: 10.4173/mic.2009.1.1

On non-causal impulse response functions related to propagating water waves
journal, December 1995


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