N
Nataliia Y. Sergiienko
Researcher at University of Adelaide
Publications - 46
Citations - 507
Nataliia Y. Sergiienko is an academic researcher from University of Adelaide. The author has contributed to research in topics: Nonlinear system & Offshore wind power. The author has an hindex of 9, co-authored 39 publications receiving 273 citations.
Papers
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Journal ArticleDOI
Performance comparison of the floating and fully submerged quasi-point absorber wave energy converters
TL;DR: In this paper, the authors investigated the differences between floating and fully submerged point absorber converters from the number of perspectives including energy extraction, bandwidth, and optimal size for a particular wave climate.
Journal ArticleDOI
Feasibility study of the three-tether axisymmetric wave energy converter
TL;DR: In this paper, a comparative performance analysis of the generic submerged heaving buoy connected to one tether and the three-tether converter in terms of the buoy motion, and design of the power take-off and mooring systems is provided.
Proceedings ArticleDOI
Fast and Effective Optimisation of Arrays of Submerged Wave Energy Converters
Junhua Wu,Slava Shekh,Nataliia Y. Sergiienko,Benjamin S. Cazzolato,Boyin Ding,Frank Neumann,Markus Wagner +6 more
TL;DR: An approximation of the buoy interactions model is presented that results in a 350-fold computational speed-up to enable the use inside of iterative optimisation algorithms.
Journal ArticleDOI
An optimal arrangement of mooring lines for the three-tether submerged point-absorbing wave energy converter
TL;DR: In this article, the optimal inclination of tethers is investigated for point-absorbing wave energy converters with a single-tether mooring, considering two different approaches: a purely kinematic analysis, not taking into account the shape of the buoy and a dynamic analysis of spherical and cylindrical WECs.
Journal ArticleDOI
Stochastic analysis of nonlinear wave energy converters via statistical linearization
Leandro S. P. da Silva,Leandro S. P. da Silva,Nataliia Y. Sergiienko,Celso Pupo Pesce,Boyin Ding,Benjamin S. Cazzolato,Helio Mitio Morishita +6 more
TL;DR: In this paper, a fast and high-fidelity alternative technique, named statistical linearization (SL), is proposed for the stochastic analysis of nonlinear wave energy converters.