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Review on floating wave-wind energy converter plants: Nonlinear dynamic assessment tools

Title
Review on floating wave-wind energy converter plants: Nonlinear dynamic assessment tools
Type
Another Publication in an International Scientific Journal
Year
2022-12-01
Authors
S. Saeidtehrani
(Author)
Other
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Francisco Taveira Pinto
(Author)
FEUP
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Journal
Vol. 54 No. 102753
Pages: 1-15
ISSN: 2213-1388
Publisher: Elsevier
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em ISI Web of Science ISI Web of Science
Publicação em Scopus Scopus - 0 Citations
Scientific classification
CORDIS: Technological sciences
FOS: Engineering and technology
Other information
Authenticus ID: P-00X-9PN
Abstract (EN): Hybrid wave-wind energy converters are considered an innovative solution to decrease costs in the various phases of installation and operation and lead to a lower Levelized Cost of Energy. Currently, there are different concepts in various Technology Readiness Levels. This paper provides a comprehensive review of existing wave-wind energy converters and the possible nonlinear dynamic assessment tools along with a discussion on their advantages and limitations. This paper broadly reviews and highlights the current level of understanding and knowledge of the relevant phenomena and their effects on the dynamic response of the existing concepts. The synergies between wind and wave energy -converters are discussed and key points for their future research and development are provided. It is shown that more than 60 % of studies are linear based which cannot reflect the highly nonlinear dynamic interaction between multi-bodies. It is demonstrated that the current lack of accurate simulation tools can be compensated by the proposed multilevel micro-macro modelling. This novel approach will allow representing the involved physical phenomena in the simulation of hybrid concepts taking into account the known limitations and lessons learned from the development of single or hybrid concepts and the simulation tools.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 15
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