A cloud enabled virtual reality based pedagogical ecosystem for wind energy education

Abichandani, Pramod; Fligor, William; Fromm, Eli

doi:10.1109/fie.2014.7044192

Cited by 16 publications

(11 citation statements)

References 4 publications

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“…Lopez [25] presents the design and construction of an experimental wind turbine, with a capacity of less than 5 kW. Likewise, in [26], the authors propose the development of virtual reality simulation software for designing a wind farm by modifying individual parameters of the wind turbine, such as blade length and angle, as well as the spacing and amount of wind generators. Bobadilla [27] presents a VR application for underground line operators in a distribution power system.…”

Section: Related Workmentioning

confidence: 99%

Incorporating Virtual Reality into the Teaching and Training of Grid-Tie Photovoltaic Power Plants Design

González-López

Arredondo²,

Laureano

et al. 2019

Applied Sciences

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The current difficulty in obtaining financial resources to acquire equipment for training personnel and the requirement of well-trained engineers in the industry looking toward sustainability, creates an opportunity to innovate in teaching tools, such as the proposed in this article, where a virtual world is projected, integrating the planning and design of a photovoltaic power plant (PV). The user can interact while immersed in the virtual scene as if the PV system were already installed, illustrating technical characteristics of selected equipment and its installation details, while the user is interacting with didactic activities focused on visual, auditory, and kinesthetic learning. This paper summarizes an initiative within the teaching-learning context, which aims to show the advantages of using modern tools, such as virtual reality, to achieve teaching goals in a renewable energy course.

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Section: Related Workmentioning

confidence: 99%

Incorporating Virtual Reality into the Teaching and Training of Grid-Tie Photovoltaic Power Plants Design

González-López

Arredondo²,

Laureano

et al. 2019

Applied Sciences

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“…Training is an important application for VR with applications in areas such as electrical engineering, physics, healthcare, military, medicine, surgery, milling, hand tools, wind energy, and law enforcement [8]- [18].…”

Section: B Vr In Energy Educationmentioning

confidence: 99%

“…However, these systems are either expensive or cumbersome and not easily applicable to the general educational content needs of students. On the other hand, desktop-based or mobile-based VR requires no additional equipment other than a capable computer [18], [21].…”

Section: B Vr In Energy Educationmentioning

confidence: 99%

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Solar Energy Education Through a Cloud-Based Desktop Virtual Reality System

et al. 2019

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The sustained growth of the solar energy industry has created the need to formalize solar energy education. This paper elucidates a novel, cloud-based, virtual reality (VR) pedagogical system that provides students with the fundamentals of solar or Photovoltaic (PV) cells, solar (PV) modules, and solar (PV) array installation configurations. The VR system was developed using Unity3d software and was integrated with a Learning Management System (LMS). The system was hosted on the Google Cloud Platform. Students/users accessed the VR system using a standard web browser, making it widely accessible. The VR system consisted of self-guided laboratory modules covering electrical engineering fundamentals of solar (PV) cells such as output power losses as a function of finger length, width, depth, and spacing. Additionally, series and parallel solar (PV) cell connections to create desired voltage and current output, and orientation/tilt considerations of solar (PV) array installations were covered. Physics models to incorporate realistic solar energy behavior were programmed in the VR system. Live graphs showing how parameters affected total power output provided instant feedback to students. An adaptive formative assessment system that tested students' application of electrical engineering fundamentals along with design skills was implemented. The system was used in a first year engineering fundamentals undergraduate class to make solar energy education accessible to early state engineering students. Data collected from the cloud system and student survey indicate growth in student engagement and students' knowledge of introductory solar and electrical engineering topics.INDEX TERMS Electrical engineering education, solar energy, virtual reality, educational technology.

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“…I N the recent decade, cloud computing has started providing a platform for services and resources over the Internet for users [1], [2]. The large pool of data resources and services has enabled the emergence of several novel applications such as smart grids, smart environments, and virtual reality [3], [4]. However, the state-of-the-art of cloud computing faces a delay constraint, which becomes a major barrier for reliable cloud services.…”

Section: Introductionmentioning

confidence: 99%

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

et al. 2020

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The realm of cloud computing has revolutionized access to cloud resources and their utilization and applications over the Internet. However, deploying cloud computing for delay critical applications and reducing the delay in access to the resources are challenging. The Mobile Edge Computing (MEC) paradigm is one of the effective solutions, which brings the cloud computing services to the proximity of the edge network and leverages the available resources. This paper presents a survey of the latest and state-of-the-art algorithms, techniques, and concepts of MEC. The proposed work is unique in that the most novel algorithms are considered, which are not considered by the existing surveys. Moreover, the chosen novel literature of the existing researchers is classified in terms of performance metrics by describing the realms of promising performance and the regions where the margin of improvement exists for future investigation for the future researchers. This also eases the choice of a particular algorithm for a particular application. As compared to the existing surveys, the bibliometric overview is provided, which is further helpful for the researchers, engineers, and scientists for a thorough insight, application selection, and future consideration for improvement. In addition, applications related to the MEC platform are presented. Open research challenges, future directions, and lessons learned in area of the MEC are provided for further future investigation.

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A cloud enabled virtual reality based pedagogical ecosystem for wind energy education

Cited by 16 publications

References 4 publications

Incorporating Virtual Reality into the Teaching and Training of Grid-Tie Photovoltaic Power Plants Design

Incorporating Virtual Reality into the Teaching and Training of Grid-Tie Photovoltaic Power Plants Design

Solar Energy Education Through a Cloud-Based Desktop Virtual Reality System

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

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