Modeling, Design and Analysis of Smart Ocean Energy Systems
Digital Document
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Handle
http://hdl.handle.net/11134/20002:860695697
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Persons |
Persons
Creator (cre): Orekan, Taofeek A.
Major Advisor (mja): Zhang, Peng
Associate Advisor (asa): Dani, Ashwin
Associate Advisor (asa): Cao, Chengyu
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Title |
Title
Title
Modeling, Design and Analysis of Smart Ocean Energy Systems
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Origin Information
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Parent Item
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Resource Type
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Digital Origin |
Digital Origin
reformatted digital
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Description |
Description
Ocean energy offers the highest energy density when compared to other renewable energy resources, and its energy potentials is enormous. As ocean energy converter technology continues to advance, vigorous testing methodology, new design modeling, and assessments of the device performances under different wave conditions become critically important. This work presents the development of a new type of wave energy converter, Smart-WEC, from concept to prototype stage. It utilizes a direct drive linear generator to extract energy from the motion of ocean waves. An integrated dynamic model of Smart-WEC is developed to evaluate its dynamic behavior. Furthermore, Smart-WEC has the capability of making connections with underwater ocean technologies, such as autonomous underwater vehicles and ocean sensors, through a novel underwater wireless power transfer technology. In an effort to assure the energy resilience and maximum power absorption and power transferred, this dissertation addresses the limitations of conventional ocean energy converter technologies to allow a more robust, smart and reliable system. New control methods are explored and implemented: (1) a novel maximum power efficiency tracking (MPET) control that uses k-nearest neighbors to estimate the system's coupling coefficient and tracks the peak efficiency (>85%) through an adaptive converter control; (2) a maximum life cycle tracking control that minimizes the torques stress on tidal shaft and therefore maximizes the energy absorbed by tracking the power-speed curves; and (3) a model predictive control that calculates the power electronic converter voltage needed to force the measured current to its reference value, thereby maximizing power generated by Smart-WEC.
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Genre
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Organizations |
Organizations
Degree granting institution (dgg): University of Connecticut
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Use and Reproduction |
Use and Reproduction
These Materials are provided for educational and research purposes only.
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Degree Name |
Degree Name
Doctor of Education
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Degree Level |
Degree Level
Doctoral
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Degree Discipline |
Degree Discipline
Electrical Engineering
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Local Identifier |
Local Identifier
OC_d_1719
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