Mechanical Engineering MS Thesis Defense by Mr. Anthony Encarnacion
When: Tuesday,
May 14, 2024
10:00 AM
-
12:00 PM
Where: > See description for location
Description: Mechanical Engineering MS Thesis Defense by Mr. Anthony Encarnacion
DATE:
May 14, 2024
TIME:
10:00 a.m. - 12:00 p.m.
LOCATION:
Science & Engineering (SENG), Room 110
Zoom link:
https://us05web.zoom.us/j/88265834821?pwd=PTi4awzgy5dIWiXFI179B9jUP0ype5.1
(contact scunha@umassd.edu or aencarnacion for Meeting ID# and PassCode)
TOPIC:
The Development and Implementation of a MATLAB Based Model Representing the Power-Take Off Unit of a Wave Energy Converter
ABSTRACT:
This thesis presents the development and implementation of a MATLAB-based model designed to represent the Power-Take Off (PTO) unit of the Maximal Asymmetric Wave Energy Converter (MADWEC) device. The objective was to create a model based on empirical data and mechanical principles to accurately represent a table-top prototype of the MADWEC PTO. This model will serve as a predictive tool, analyzing the performance of the PTO unit under various wave conditions and enabling the selection of optimal configurations based on the deployment location or power requirements. The computational model incorporates the PTO’s components, including a dual-dispensing reel, counterweight rewind mechanism, slip clutch, one-way clutch, gearbox, and generator. Leveraging the computational resources of MATLAB and its Simulink environment, the model was developed with an overall error of 1.36% compared to empirical data. This research details the development process of the model, including empirical data acquisition, analysis, and model optimization techniques. A performance estimation for the Nantucket Sound area indicated the potential power generation capabilities of the device, estimated at approximately 0.19 kilowatts an hour or 1.664 megawatts annually for that location. The study showcases a robust approach to predicting the efficiency and power output of MADWEC's PTO unit, providing a valuable tool for researchers and engineers in the field of renewable energy. It contributes to the understanding of WEC operations and supports the advancement of marine renewable energy systems by aiding in the design and optimization of WEC prototypes.
ADVISORS:
- Dr. Daniel MacDonald, Professor, Department of Civil & Environmental Engineering, UMass Dartmouth
- Dr. Mehdi Raessi, Professor, Department of Mechanical Engineering, UMass Dartmouth
COMMITTEE MEMBER:
- Dr. Kihan Park, Assistant Professor, Department of Mechanical Engineering, UMass Dartmouth
Open to the public. All MNE students are encouraged to attend.
For more information, please contact Dr. Daniel MacDonald (dmacdonald@umassd.edu).
DATE:
May 14, 2024
TIME:
10:00 a.m. - 12:00 p.m.
LOCATION:
Science & Engineering (SENG), Room 110
Zoom link:
https://us05web.zoom.us/j/88265834821?pwd=PTi4awzgy5dIWiXFI179B9jUP0ype5.1
(contact scunha@umassd.edu or aencarnacion for Meeting ID# and PassCode)
TOPIC:
The Development and Implementation of a MATLAB Based Model Representing the Power-Take Off Unit of a Wave Energy Converter
ABSTRACT:
This thesis presents the development and implementation of a MATLAB-based model designed to represent the Power-Take Off (PTO) unit of the Maximal Asymmetric Wave Energy Converter (MADWEC) device. The objective was to create a model based on empirical data and mechanical principles to accurately represent a table-top prototype of the MADWEC PTO. This model will serve as a predictive tool, analyzing the performance of the PTO unit under various wave conditions and enabling the selection of optimal configurations based on the deployment location or power requirements. The computational model incorporates the PTO’s components, including a dual-dispensing reel, counterweight rewind mechanism, slip clutch, one-way clutch, gearbox, and generator. Leveraging the computational resources of MATLAB and its Simulink environment, the model was developed with an overall error of 1.36% compared to empirical data. This research details the development process of the model, including empirical data acquisition, analysis, and model optimization techniques. A performance estimation for the Nantucket Sound area indicated the potential power generation capabilities of the device, estimated at approximately 0.19 kilowatts an hour or 1.664 megawatts annually for that location. The study showcases a robust approach to predicting the efficiency and power output of MADWEC's PTO unit, providing a valuable tool for researchers and engineers in the field of renewable energy. It contributes to the understanding of WEC operations and supports the advancement of marine renewable energy systems by aiding in the design and optimization of WEC prototypes.
ADVISORS:
- Dr. Daniel MacDonald, Professor, Department of Civil & Environmental Engineering, UMass Dartmouth
- Dr. Mehdi Raessi, Professor, Department of Mechanical Engineering, UMass Dartmouth
COMMITTEE MEMBER:
- Dr. Kihan Park, Assistant Professor, Department of Mechanical Engineering, UMass Dartmouth
Open to the public. All MNE students are encouraged to attend.
For more information, please contact Dr. Daniel MacDonald (dmacdonald@umassd.edu).
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