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Decadal change of global wave energy based on JRA-55 dataset

Conference Paper

Title: Decadal change of global wave energy based on JRA-55 dataset
Author:
Kamranzad, B.; Amarouche, K.; Akpinar, A.
Publication Date:
Event Name:
14th European Wave and Tidal Energy Conference (EWTEC 2021)
Event Location:
Plymouth, UK
Publisher:
14th European Wave and Tidal Energy Conference
Affiliation:
Kyoto University, Bursa Uludağ University
Technology:
Wave
Collection Method:
Modeling
Language:
English

Document Access

Website:
External Link

Citation

Kamranzad, B.; Amarouche, K.; Akpinar, A. (2021). Decadal change of global wave energy based on JRA-55 dataset. Paper presented at 14th European Wave and Tidal Energy Conference (EWTEC 2021), Plymouth, UK.
@conference{Kamranzad-2021-17639,
author = {Kamranzad, B and Amarouche, K and Akpinar, A},
title = {Decadal change of global wave energy based on JRA-55 dataset},
year = {2021},
month = {sep},
series = {14th European Wave and Tidal Energy Conference (EWTEC 2021)},
address = {Plymouth, UK},
publisher = {14th European Wave and Tidal Energy Conference},
url = {https://submissions.ewtec.org/proc-ewtec/issue/view/14th-ewtec-2021},
keywords = {Wave, Modeling},
}
Export Citation to BibTex
TY - CONF
TI - Decadal change of global wave energy based on JRA-55 dataset
AU - Kamranzad, B
AU - Amarouche, K
AU - Akpinar, A
T2 - 14th European Wave and Tidal Energy Conference (EWTEC 2021)
C1 - Plymouth, UK
AB - Reliable wave resource characterization is necessary for the accurate estimation of available resources. However, a minimum of 10 years has been recommended for such analysis, considering the impact of changing climate on the selection of a suitable period for wave energy assessment is necessary. Hence, in this work, we used more than five decades of wave characteristics simulated globally to investigate the role of selecting the period of wave energy assessment in the estimation of available resources. For this purpose, the numerical simulation of waves was carried out globally using Simulating WAves Nearshore (SWAN) model forced with global re-analysis wind data, JRA-55, developed by Japan Meteorological Agency (JMA). The performance of the model was investigated using ERA-5 reanalysis wave data. Comparison of monthly mean wave characteristics showed a reliable performance of SWAN at a global scale, even though the model has been developed for nearshore wave modeling purposes. The validated model was then used to generate the wave characteristics for 55 years. The wave characteristics in 5 decades were analyzed not only intra-annually but also on a multi-decadal scale. In addition, the wave climate and wave energy were obtained at different time scales, and the results were compared with 55-yearly wave climate, and the impact of selecting different intervals was discussed. Moreover, the relationship between the change of different wave parameters and the change of wave energy in the long-term was assessed.
DA - 2021/09//
PY - 2021
PB - 14th European Wave and Tidal Energy Conference
UR - https://submissions.ewtec.org/proc-ewtec/issue/view/14th-ewtec-2021
LA - English
KW - Wave
KW - Modeling
ER -
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Abstract

Reliable  wave  resource  characterization  is necessary  for  the  accurate  estimation  of  available  resources. However,  a  minimum  of  10  years  has  been  recommended for  such  analysis,  considering  the  impact  of  changing climate  on  the  selection  of  a  suitable  period  for  wave  energy assessment  is  necessary.  Hence,  in  this  work,  we  used  more than  five  decades  of  wave  characteristics  simulated  globally to  investigate  the  role  of  selecting  the  period  of  wave  energy assessment  in  the  estimation  of  available  resources.  For  this purpose,  the  numerical  simulation  of  waves  was  carried  out globally  using  Simulating  WAves  Nearshore  (SWAN) model  forced  with  global  re-analysis  wind  data,  JRA-55, developed  by  Japan  Meteorological  Agency  (JMA).  The performance  of  the  model  was  investigated  using  ERA-5  reanalysis  wave  data.  Comparison  of  monthly  mean  wave characteristics  showed  a  reliable  performance  of  SWAN  at  a global  scale,  even  though  the  model  has  been  developed  for nearshore  wave  modeling  purposes.  The  validated  model was  then  used  to  generate  the  wave  characteristics  for  55 years.  The  wave  characteristics  in  5  decades  were  analyzed not  only  intra-annually  but  also  on  a  multi-decadal  scale.  In addition,  the  wave  climate  and  wave  energy  were  obtained at  different  time  scales,  and  the  results  were  compared  with 55-yearly  wave climate, and the  impact of  selecting  different intervals  was  discussed.  Moreover,  the  relationship between  the  change  of  different  wave  parameters  and  the change  of wave  energy  in  the  long-term  was  assessed.