Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia

The development of Internet of Things (IoT) technology and its integration into smart cities have transformed the way people work and live while enriching civilization. However, IoT technologies pose a range of challenges in smart cities, including increased energy consumption, hazardous contaminati...

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Main Authors: Chew, Kim Mey, Daniel Chia, Wei Fung, Yiiong, Siew Ping, Syvester Tan, Chiang Wei
Format: Proceeding
Language:English
Published: 2023
Subjects:
Online Access:http://ir.unimas.my/id/eprint/45886/2/2022268993%20%28IEEE%20PDF%20express%29.pdf
http://ir.unimas.my/id/eprint/45886/
https://ieeexplore.ieee.org/document/10000386
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spelling my.unimas.ir.458862024-08-30T02:15:43Z http://ir.unimas.my/id/eprint/45886/ Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia Chew, Kim Mey Daniel Chia, Wei Fung Yiiong, Siew Ping Syvester Tan, Chiang Wei QA75 Electronic computers. Computer science The development of Internet of Things (IoT) technology and its integration into smart cities have transformed the way people work and live while enriching civilization. However, IoT technologies pose a range of challenges in smart cities, including increased energy consumption, hazardous contamination and e-waste. Smart City applications need to be environmentally responsible, which requires a shift to green IoT. Consequently, tactics and strategies aimed at reducing pollution threats, traffic waste, resource use, energy use, public safety, quality of life, environmental sustainability, and cost management should be taken into consideration. Past researches have been initiated to study the efficiency of solar energy as an alternative energy source for IoT. An IoT system has been developed to monitor the effectiveness of solar panels and identify factors that may influence its effectiveness. This article addresses the optimisation of photovoltaic absorption when polycrystalline and monocrystalline solar panels are used for comparative purposes to determine which panel is more efficient. In this study, the panels were exposed to sunlight for at least 12 hours per day and oriented south and north respectively to obtain the optimal position. The results showed that the power generated by the monocrystalline (0.3A) is greater than the polycrystalline solar panels (0.25A). The intensity of sunlight for the country (Malaysia) in the northern hemisphere is expected to be greater in the south. But the result showed a slightly higher light intensity in the north. The phenomenon was explained and the solar panels located in East Malaysia were recommended to be turned according to the optimum monthly tilt-angle change. 2023-01-04 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/45886/2/2022268993%20%28IEEE%20PDF%20express%29.pdf Chew, Kim Mey and Daniel Chia, Wei Fung and Yiiong, Siew Ping and Syvester Tan, Chiang Wei (2023) Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia. In: 2022 International Conference on Computer and Drone Applications (IConDA), 28-29 November 2022, Kota Samarahan. https://ieeexplore.ieee.org/document/10000386
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Chew, Kim Mey
Daniel Chia, Wei Fung
Yiiong, Siew Ping
Syvester Tan, Chiang Wei
Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia
description The development of Internet of Things (IoT) technology and its integration into smart cities have transformed the way people work and live while enriching civilization. However, IoT technologies pose a range of challenges in smart cities, including increased energy consumption, hazardous contamination and e-waste. Smart City applications need to be environmentally responsible, which requires a shift to green IoT. Consequently, tactics and strategies aimed at reducing pollution threats, traffic waste, resource use, energy use, public safety, quality of life, environmental sustainability, and cost management should be taken into consideration. Past researches have been initiated to study the efficiency of solar energy as an alternative energy source for IoT. An IoT system has been developed to monitor the effectiveness of solar panels and identify factors that may influence its effectiveness. This article addresses the optimisation of photovoltaic absorption when polycrystalline and monocrystalline solar panels are used for comparative purposes to determine which panel is more efficient. In this study, the panels were exposed to sunlight for at least 12 hours per day and oriented south and north respectively to obtain the optimal position. The results showed that the power generated by the monocrystalline (0.3A) is greater than the polycrystalline solar panels (0.25A). The intensity of sunlight for the country (Malaysia) in the northern hemisphere is expected to be greater in the south. But the result showed a slightly higher light intensity in the north. The phenomenon was explained and the solar panels located in East Malaysia were recommended to be turned according to the optimum monthly tilt-angle change.
format Proceeding
author Chew, Kim Mey
Daniel Chia, Wei Fung
Yiiong, Siew Ping
Syvester Tan, Chiang Wei
author_facet Chew, Kim Mey
Daniel Chia, Wei Fung
Yiiong, Siew Ping
Syvester Tan, Chiang Wei
author_sort Chew, Kim Mey
title Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia
title_short Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia
title_full Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia
title_fullStr Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia
title_full_unstemmed Green Internet of Things (IoT) Solar Photovoltaic Absorption Optimization Based Panel Orientation in East Malaysia
title_sort green internet of things (iot) solar photovoltaic absorption optimization based panel orientation in east malaysia
publishDate 2023
url http://ir.unimas.my/id/eprint/45886/2/2022268993%20%28IEEE%20PDF%20express%29.pdf
http://ir.unimas.my/id/eprint/45886/
https://ieeexplore.ieee.org/document/10000386
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score 13.19449