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Can I read Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines on EtoBox?
Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines by Madjid Karimirad, Maurizio Collu is a nonfiction available to read on EtoBox.
What is Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines about?
The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten-Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for
Who reads Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Madjid Karimirad, Maurizio Collu
- Publisher
- MDPI - Multidisciplinary Digital Publishing Institute
- Published
- 2020
- Language
- EN
- ISBN
- 9783039369126
- Category
- nonfiction
- Subjects
- Engineering, Energy & Power Resources, Stem
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