Modelling of Indoor Lighting Energy Harvesting System for IoT

Network communications has seen to be evolving with the rise of Internet of Things (IoT). Low powered IoT devices consume less power and can be powered up using an energy harvesting system instead of using batteries. Due to the wide availability of indoor lighting in offices, hospitals and any in...

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Main Author: Ragunathan, Ranjeeta
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22627 /
Published: Universiti Teknologi PETRONAS 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/22627/1/Final%20Dissertation_RanjeetaRagunathan20112.pdf
http://utpedia.utp.edu.my/22627/
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recordtype eprints
spelling utp-utpedia.226272022-03-14T02:52:03Z http://utpedia.utp.edu.my/22627/ Modelling of Indoor Lighting Energy Harvesting System for IoT Ragunathan, Ranjeeta TK Electrical engineering. Electronics Nuclear engineering Network communications has seen to be evolving with the rise of Internet of Things (IoT). Low powered IoT devices consume less power and can be powered up using an energy harvesting system instead of using batteries. Due to the wide availability of indoor lighting in offices, hospitals and any indoor environment of a building, energy can be harvested through these sources. A photovoltaic panel that converts light energy into electrical energy is used to harvest the power from these indoor lighting. Thus, it is important to have an accurate model of photovoltaic panel that can predict and estimate its performance at all operating condition. This is important because most manufacturers provide datasheet values only at open circuit point, short circuit point and maximum power point. This project discusses a methodology for modelling an accurate Single Mechanism Five Parameter (1M5P) model for indoor light energy harvesting. Universiti Teknologi PETRONAS 2018-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22627/1/Final%20Dissertation_RanjeetaRagunathan20112.pdf Ragunathan, Ranjeeta (2018) Modelling of Indoor Lighting Energy Harvesting System for IoT. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ragunathan, Ranjeeta
Modelling of Indoor Lighting Energy Harvesting System for IoT
description Network communications has seen to be evolving with the rise of Internet of Things (IoT). Low powered IoT devices consume less power and can be powered up using an energy harvesting system instead of using batteries. Due to the wide availability of indoor lighting in offices, hospitals and any indoor environment of a building, energy can be harvested through these sources. A photovoltaic panel that converts light energy into electrical energy is used to harvest the power from these indoor lighting. Thus, it is important to have an accurate model of photovoltaic panel that can predict and estimate its performance at all operating condition. This is important because most manufacturers provide datasheet values only at open circuit point, short circuit point and maximum power point. This project discusses a methodology for modelling an accurate Single Mechanism Five Parameter (1M5P) model for indoor light energy harvesting.
format Final Year Project
author Ragunathan, Ranjeeta
author_sort Ragunathan, Ranjeeta
title Modelling of Indoor Lighting Energy Harvesting System for IoT
title_short Modelling of Indoor Lighting Energy Harvesting System for IoT
title_full Modelling of Indoor Lighting Energy Harvesting System for IoT
title_fullStr Modelling of Indoor Lighting Energy Harvesting System for IoT
title_full_unstemmed Modelling of Indoor Lighting Energy Harvesting System for IoT
title_sort modelling of indoor lighting energy harvesting system for iot
publisher Universiti Teknologi PETRONAS
publishDate 2018
url http://utpedia.utp.edu.my/22627/1/Final%20Dissertation_RanjeetaRagunathan20112.pdf
http://utpedia.utp.edu.my/22627/
_version_ 1741195843217653760
score 11.62408

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