Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/300578
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dc.date.accessioned2020-09-22T20:20:16Z-
dc.date.available2020-09-22T20:20:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/300578-
dc.description.abstractThe enormous utilization of traditional energy resources are influencing in terms of greenhouse gas emissions such as carbon dioxide (CO2). These gas emissions are resulting in global warming and harming the environment and biodiversity. These traditional resources are limited; hence the problem of energy crisis is occurred. As sun is highest energy generation source in universe. Also sun energy is free and limitless, it doesn t harm environment as well as it can be implemented at underutilized land. Solar power also helps to improve grid security. Nowadays many companies are looking solar energy as an economic source. Governments are supporting for solar energy generation activities so it is required to manage these plants in very systematic manner and analyze the energy generation. The proposed method is the real time technique which helps for controlling and monitoring method of solar power plant using IoT. Solar power plant activities cannot be remotely accessed and monitored by traditional PLC technology. So approach of Internet of Things (IoT) and Machine Learning is introduced in management of solar power systems. Internet of things is a combination of various physical technologies along with cloud uses. Basic required terms are heterogeneous network for communication of objects, required hardware of each object, and processing / computing power of each object and security of each element in the IOT. The solar power generation can be monitored and increased using this novel method. Rotation of solar panels can be controlled using servomotors as per the sun direction; hence it will enhance power generation efficiency. This is achieved by designing a photovoltaic system, building the analog circuitry for proper voltage and current readings, and creating a webserver that displays the monitored data in a user-friendly charting interface. The webserver is in WAN (Wide Area Network) and could therefore be accessed anywhere in the world that benefits from an Internet connection.
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dc.languageEnglish
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dc.rightsself
dc.titleReal Time Solar Power Plant Monitoring and Control System Using IoT
dc.title.alternative
dc.creator.researcherKarbhari Ganesh Vijaykumar
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guidePragya Nema
dc.publisher.placeIndore
dc.publisher.universityOriental University
dc.publisher.institutionElectronics and Communication Engineering
dc.date.registered6-4-2017
dc.date.completed2020
dc.date.awarded10-9-2020
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electronics and Communication Engineering

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10.chapter 6.pdfAttached File995.65 kBAdobe PDFView/Open
11.chapter 7.pdf12.37 kBAdobe PDFView/Open
12. references and other pages-publications etc..pdf3.23 MBAdobe PDFView/Open
1.title page.pdf284.91 kBAdobe PDFView/Open
2.certificate of the supervisor.pdf301.7 kBAdobe PDFView/Open
5.chapter 1.pdf238.08 kBAdobe PDFView/Open
6.chapter 2.pdf363.37 kBAdobe PDFView/Open
7. chapter 3.pdf539.83 kBAdobe PDFView/Open
80_recommendation.pdf297.8 kBAdobe PDFView/Open
8.chapter 4.pdf662.15 kBAdobe PDFView/Open
9.chapter 5.pdf12.79 kBAdobe PDFView/Open
preliminary pages.pdf2.72 MBAdobe PDFView/Open


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