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dc.contributor.author | Yernazarov, Yerkin![]() |
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dc.contributor.author | Satybaldy, Akylbek![]() |
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dc.contributor.other | Zarikas, Vasilios | |
dc.date.accessioned | 2019-12-19T09:19:34Z | |
dc.date.available | 2019-12-19T09:19:34Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Satybaldy, A., & Yernazarov, Y. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan. | en_US |
dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/4479 | |
dc.description.abstract | Energy consumption all over the world is increasing rapidly, that is why to fulfill this demand various types of energy sources are needed. During this project, one of the well known type of renewable energy sources wave water energy will be explored. The main aim of this research is to calculate coefficient of efficiency in terms of cost and power dependence and to model new design of ocean wave energy converter. The structure of Sea Slot-cone Generator will be benchmark model for this research and it has several reservoirs, which will have own turbines to produce energy. The data analysis in terms of efficiency and physical behavior will be tested on software ANSYS by making 2D and 3D simulations of a flow. Various shapes of sea slot cone generator will be tested and analysis in terms of pressure and velocity would be made. For preliminary study, the simulation of a flow in 2D will be made and by identifying the velocity profile of the flow ocean wave energy extraction will be tested. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nazarbayev University School of Engineering and Digital Sciences | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | Ocean Wave energy extraction | en_US |
dc.subject | renewable energy | en_US |
dc.subject | Sea Slot-cone Generator | en_US |
dc.subject | energy sources | en_US |
dc.subject | Energy consumption | en_US |
dc.title | Ocean Wave energy extraction | en_US |
dc.type | Capstone Project | en_US |
workflow.import.source | science |
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