Enhancing Energy Efficiency via Artificial Intelligence
This paper proposes the development of a series of phototransistors capable of converting light energy into electrical energy, which can be stored and utilized for various purposes. In regions where solar devices are ineffective due to absence of sunlight or during power cuts, this alternative energ...
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Published in | 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies pp. 1 - 6 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
22.03.2024
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Subjects | |
Online Access | Get full text |
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Abstract | This paper proposes the development of a series of phototransistors capable of converting light energy into electrical energy, which can be stored and utilized for various purposes. In regions where solar devices are ineffective due to absence of sunlight or during power cuts, this alternative energy source can be employed effectively. By harnessing ambient light, these phototransistors offer a sustainable solution for indoor environments such as pubs and indoor stadiums where traditional power sources may be unreliable. The project involves thorough background study including research on phototransistor technology, energy storage methods, and potential applications in different settings. Implementation of this technology could significantly contribute to reducing dependency on conventional power sources and promoting energy efficiency in various indoor spaces. |
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AbstractList | This paper proposes the development of a series of phototransistors capable of converting light energy into electrical energy, which can be stored and utilized for various purposes. In regions where solar devices are ineffective due to absence of sunlight or during power cuts, this alternative energy source can be employed effectively. By harnessing ambient light, these phototransistors offer a sustainable solution for indoor environments such as pubs and indoor stadiums where traditional power sources may be unreliable. The project involves thorough background study including research on phototransistor technology, energy storage methods, and potential applications in different settings. Implementation of this technology could significantly contribute to reducing dependency on conventional power sources and promoting energy efficiency in various indoor spaces. |
Author | Selvarajan, Shitharth Anitha, G. Alyoubi, Khaled H. Reddy, Chengalapattu Jithendar Manoharan, Abirami Manoharan, Hariprasath M, Poorna Saai |
Author_xml | – sequence: 1 givenname: G. surname: Anitha fullname: Anitha, G. email: anirajkan@gmail.com organization: R.M.D. Engineering College,Department of ECE,Kavaraipettai,India – sequence: 2 givenname: Hariprasath surname: Manoharan fullname: Manoharan, Hariprasath email: hari13prasath@gmail.com organization: Panimalar Engineering College,Department of ECE,Poonamalle,India – sequence: 3 givenname: Abirami surname: Manoharan fullname: Manoharan, Abirami email: barath_mabi@rediffmail.com organization: Government College of Engineering,Department of EEE,Trichy,India – sequence: 4 givenname: Shitharth surname: Selvarajan fullname: Selvarajan, Shitharth organization: Leeds Beckett University,School of Built Environment, Engineering and Computing,Leeds,LS1 3HE – sequence: 5 givenname: Chengalapattu Jithendar surname: Reddy fullname: Reddy, Chengalapattu Jithendar email: jithureddy44@gmail.com organization: R.M.D. Engineering College,Department of ECE,Kavaraipettai,India – sequence: 6 givenname: Poorna Saai surname: M fullname: M, Poorna Saai email: 21104110@rmd.ac.in organization: R.M.D. Engineering College,Department of ECE,Kavaraipettai,India – sequence: 7 givenname: Khaled H. surname: Alyoubi fullname: Alyoubi, Khaled H. email: kalyoubi@kau.edu.sa organization: King Abdulaziz University,Faculty of Computing and Information Technology,Department of Information Systems,Jeddah,Saudi Arabia |
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SubjectTerms | Electric potential electrical signal Energy efficiency Green products phototransistors Quantum computing Rail transportation rechargeable battery Renewable energy sources |
Title | Enhancing Energy Efficiency via Artificial Intelligence |
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