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The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling

Interim Semester 2020/2021

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Main Author: Khairol Anuar bin Abd Aziz
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Language:English
Published: 2023
Subjects:
Climate
Solar PV
Neural Network
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spelling my.uniten.dspace-214492023-05-04T20:09:56Z The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling Khairol Anuar bin Abd Aziz Climate Solar PV Neural Network Interim Semester 2020/2021 The solar panel, which receives energy from natural resources, can create electricity from the Sun. A solar panel is widely used in most buildings and houses. The efficiency of the solar panel is depending on its output power produced. The main factor that influence the maximum power produced are solar irradiance and cell temperature. However, these two parameters are mainly be affected by climate conditions. This thesis focussing on the influence of climatic conditions on solar irradiance and cell temperature and hence it will affect the maximum power produced by a particular solar panel as well. Neural network has been used to find the performance of the climatic conditions against the solar irradiance and ambient temperature due to its ability to learn through the data and produce the output that is not limited to the input provided to them. As for the results, relative humidity has the highest contributions towards solar irradiance and ambient temperature compared to wind speed and cloudiness, but when combining or increasing the input of the neural network, the performance of the model is increase. As for the solar PV system, the characteristics of I-V and P-V curve shows that higher irradiance produced more power but lower cell temperature produced more power 2023-05-03T16:55:49Z 2023-05-03T16:55:49Z 2020-09 https://irepository.uniten.edu.my/handle/123456789/21449 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Climate
Solar PV
Neural Network
spellingShingle Climate
Solar PV
Neural Network
Khairol Anuar bin Abd Aziz
The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling
description Interim Semester 2020/2021
format
author Khairol Anuar bin Abd Aziz
author_facet Khairol Anuar bin Abd Aziz
author_sort Khairol Anuar bin Abd Aziz
title The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling
title_short The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling
title_full The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling
title_fullStr The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling
title_full_unstemmed The Effects of Climatic Conditions on Solar Photovoltaic(PV) GEneration via Theoretical Modelling
title_sort effects of climatic conditions on solar photovoltaic(pv) generation via theoretical modelling
publishDate 2023
_version_ 1806426134673358848
score 13.22586

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