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Title: Wave Resource Characterization Using an Unstructured Grid Modeling Approach

Abstract

This paper presents a modeling study conducted on the central Oregon coast for wave resource characterization using the unstructured-grid SWAN model coupled with a nested-grid WWIII model. The flexibility of models of various spatial resolutions and the effects of open- boundary conditions simulated by a nested-grid WWIII model with different physics packages were evaluated. The model results demonstrate the advantage of the unstructured-grid modeling approach for flexible model resolution and good model skills in simulating the six wave resource parameters recommended by the International Electrotechnical Commission in comparison to the observed data in Year 2009 at National Data Buoy Center Buoy 46050. Notably, spectral analysis indicates that the ST4 physics package improves upon the model skill of the ST2 physics package for predicting wave power density for large waves, which is important for wave resource assessment, device load calculation, and risk management. In addition, bivariate distributions show the simulated sea state of maximum occurrence with the ST4 physics package matched the observed data better than that with the ST2 physics package. This study demonstrated that the unstructured-grid wave modeling approach, driven by the nested-grid regional WWIII outputs with the ST4 physics package, can efficiently provide accurate wave hindcasts to supportmore » wave resource characterization. Our study also suggests that wind effects need to be considered if the dimension of the model domain is greater than approximately 100 km, or O (10^2 km).« less

Authors:
; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
Contributing Org.:
Wei-Cheng Wu; Zhaoqing Yang; Taiping Wang
OSTI Identifier:
1439691
Report Number(s):
PNNL-SA-132143
Journal ID: ISSN 1996-1073; ENERGA; WC0101000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Energies (Basel)
Additional Journal Information:
Journal Volume: 11; Journal Issue: 3; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English

Citation Formats

Wu, Wei-Cheng, Yang, Zhaoqing, and Wang, Taiping. Wave Resource Characterization Using an Unstructured Grid Modeling Approach. United States: N. p., 2018. Web. doi:10.3390/en11030605.
Wu, Wei-Cheng, Yang, Zhaoqing, & Wang, Taiping. Wave Resource Characterization Using an Unstructured Grid Modeling Approach. United States. doi:10.3390/en11030605.
Wu, Wei-Cheng, Yang, Zhaoqing, and Wang, Taiping. Thu . "Wave Resource Characterization Using an Unstructured Grid Modeling Approach". United States. doi:10.3390/en11030605.
@article{osti_1439691,
title = {Wave Resource Characterization Using an Unstructured Grid Modeling Approach},
author = {Wu, Wei-Cheng and Yang, Zhaoqing and Wang, Taiping},
abstractNote = {This paper presents a modeling study conducted on the central Oregon coast for wave resource characterization using the unstructured-grid SWAN model coupled with a nested-grid WWIII model. The flexibility of models of various spatial resolutions and the effects of open- boundary conditions simulated by a nested-grid WWIII model with different physics packages were evaluated. The model results demonstrate the advantage of the unstructured-grid modeling approach for flexible model resolution and good model skills in simulating the six wave resource parameters recommended by the International Electrotechnical Commission in comparison to the observed data in Year 2009 at National Data Buoy Center Buoy 46050. Notably, spectral analysis indicates that the ST4 physics package improves upon the model skill of the ST2 physics package for predicting wave power density for large waves, which is important for wave resource assessment, device load calculation, and risk management. In addition, bivariate distributions show the simulated sea state of maximum occurrence with the ST4 physics package matched the observed data better than that with the ST2 physics package. This study demonstrated that the unstructured-grid wave modeling approach, driven by the nested-grid regional WWIII outputs with the ST4 physics package, can efficiently provide accurate wave hindcasts to support wave resource characterization. Our study also suggests that wind effects need to be considered if the dimension of the model domain is greater than approximately 100 km, or O (10^2 km).},
doi = {10.3390/en11030605},
journal = {Energies (Basel)},
issn = {1996-1073},
number = 3,
volume = 11,
place = {United States},
year = {2018},
month = {3}
}