Virtual Reality Wind Turbine for Learning Green Energy Manufacturing

Richard Chiou; Isher Singh; Arjuna Karthikeyan Senthilvel Kavitha; Tzu-liang Bill Tseng; Md Fashiar Rahman; Nijanthan Vasudevan

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Conference: 2024 ASEE Annual Conference & Exposition
Location: Portland, Oregon
Publication Date: June 23, 2024
Start Date: June 23, 2024
End Date: July 12, 2024
Conference Session: Virtual and Augmented Reality Application in Manufacturing Education
Tagged Division: Manufacturing Division (MFG)
Tagged Topic: Diversity
Permanent URL: https://peer.asee.org/48258

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Dr. Bill Tseng is a Professor and Chair of Department of Industrial, Manufacturing and Systems Engineering at the UTEP. He is also a Director of Research Institute for Manufacturing & Engineering Systems, the host institute of Texas Manufacturing Assistan

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Md Fashiar Rahman University of Texas at El Paso orcid.org/0000-0002-0437-2587

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Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, Manufacturing and Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.

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Nijanthan Vasudevan Drexel University orcid.org/0009-0003-6849-8503

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Abstract

This paper presents the development of a virtual reality-based wind turbine laboratory module for green manufacturing education that is intended to provide students with in-depth knowledge about wind turbine efficiency. Students will be able to learn about and gain practical experience in the field of wind turbine engineering without having to obtain the necessary equipment with VR controllers and headsets. The wind turbine virtual reality lab includes a vertical wind turbine, a fan blower, and a start and stop button that can be used to play, pause, or stop the wind turbine and the fan blower. It also features control buttons that allow the wind blower's speed to be adjusted. Because the wind blower's speed can be adjusted, the wind's velocity can also be adjusted, which affects the wind turbine's speed and power. The wind turbine and fan blower were created in AutoCAD and Blender and imported into Unity 3D. To simulate the wind blowing from the fan blower toward the wind turbine while conducting the experiment, a smokey wind sensation can also be visualized. With the aid of C language scripts, the start, stop, and regulating buttons are connected to the fan blower and wind turbine, allowing the user to order an increase or decrease in wind speed and obtain the suitable outcomes appropriately. Students will be familiar with the typical torque-versus-speed curve and mechanical power-versus-speed curve at the rotor of a wind turbine. They will learn what the optimum rotor speed and torque are, and how they are related to the maximum power point of the wind turbine. The students will then learn by conducting the experiments and verifying the results that the wind speed and power efficiency graph has an upward-curving till Maximum Power Point and then a downward-curving trend. This occurs because of efficiency losses in real-world wind turbines (mechanical and electrical losses), which induce a decline in power efficiency after a certain point. Additionally, in the actual world, the wind turbine is shut off following MPP to lessen the damage to the wind turbine.

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Chiou, R., & Singh, I., & Senthilvel Kavitha, A. K., & Tseng, T. B., & Rahman, M. F., & Vasudevan, N. (2024, June), Virtual Reality Wind Turbine for Learning Green Energy Manufacturing Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/48258

TY - CPAPER
AB - This paper presents the development of a virtual reality-based wind turbine laboratory module for green manufacturing education that is intended to provide students with in-depth knowledge about wind turbine efficiency. Students will be able to learn about and gain practical experience in the field of wind turbine engineering without having to obtain the necessary equipment with VR controllers and headsets. The wind turbine virtual reality lab includes a vertical wind turbine, a fan blower, and a start and stop button that can be used to play, pause, or stop the wind turbine and the fan blower. It also features control buttons that allow the wind blower&#39;s speed to be adjusted. Because the wind blower&#39;s speed can be adjusted, the wind&#39;s velocity can also be adjusted, which affects the wind turbine&#39;s speed and power. The wind turbine and fan blower were created in AutoCAD and Blender and imported into Unity 3D. To simulate the wind blowing from the fan blower toward the wind turbine while conducting the experiment, a smokey wind sensation can also be visualized. With the aid of C language scripts, the start, stop, and regulating buttons are connected to the fan blower and wind turbine, allowing the user to order an increase or decrease in wind speed and obtain the suitable outcomes appropriately. Students will be familiar with the typical torque-versus-speed curve and mechanical power-versus-speed curve at the rotor of a wind turbine. They will learn what the optimum rotor speed and torque are, and how they are related to the maximum power point of the wind turbine. The students will then learn by conducting the experiments and verifying the results that the wind speed and power efficiency graph has an upward-curving till Maximum Power Point and then a downward-curving trend. This occurs because of efficiency losses in real-world wind turbines (mechanical and electrical losses), which induce a decline in power efficiency after a certain point. Additionally, in the actual world, the wind turbine is shut off following MPP to lessen the damage to the wind turbine.
AU - Richard Chiou
AU - Isher Singh
AU - Arjuna Karthikeyan Senthilvel Kavitha
AU - Tzu-liang Bill Tseng
AU - Md Fashiar Rahman
AU - Nijanthan Vasudevan
CY - Portland, Oregon
DA - 2024/06/23
PB - ASEE Conferences
TI - Virtual Reality Wind Turbine for Learning Green Energy Manufacturing
UR - https://peer.asee.org/48258
ER -