Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm

Solar Photovoltaic (PV) technology is a method that converts solar energy or sunlight into electricity using semiconductor materials. Solar PV technology is renewable and sustainable, and it is environmentally friendly. However, The quantity of solar energy gathered by the fixed tilt solar photovolt...

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Main Author: Lim, Song Wei
Format: Final Year Project / Dissertation / Thesis
Published: 2023
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Online Access:http://eprints.utar.edu.my/5885/1/SE_1903607_FYP_report_%2D_LimSongWei_%2D_SONG_WEI_LIM.pdf
http://eprints.utar.edu.my/5885/
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Institution: Universiti Tunku Abdul Rahman
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spelling my-utar-eprints.58852023-10-05T12:06:44Z Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm Lim, Song Wei QA76 Computer software Solar Photovoltaic (PV) technology is a method that converts solar energy or sunlight into electricity using semiconductor materials. Solar PV technology is renewable and sustainable, and it is environmentally friendly. However, The quantity of solar energy gathered by the fixed tilt solar photovoltaic (PV) system depends significantly on its orientation with respect to the sun, it is because the solar PV system can harvest the most solar radiation when the panel surface is perpendicular to the sunray. In order to harvest maximum amount of solar irradiance, a fixed tilt solar PV system must be set up with the optimal tilt angle and orientation angle so that it is efficient and able to generate maximum amount of energy. This project aims to measure the performances of various photovoltaic power plants in Malaysia based on local spectral irradiances using genetic algorithm. A Python computational model that uses genetic algorithms will be developed to estimate the optimal tilt angle and orientation angle as well as the solar power received for the solar sites. The solar sites will be evaluated based on their annual average solar irradiation and the optimal tilt angle and orientation angle for solar panel at the solar sites can be estimated using the computational model. Based on the analysis result, by comparing the simulation result of tilt angle and orientation angle with the actual on-site experiment result of tilt angle and orientation angle, the model in this project is able to achieve 75% accuracy. Besides, the genetic algorithm has showed that it is an effective and efficient way to perform estimation of optimal tilt angle and orientation angle for solar sites with genetic algorithm as it is able to produce correct and accurate result in a short amount of time. 2023 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/5885/1/SE_1903607_FYP_report_%2D_LimSongWei_%2D_SONG_WEI_LIM.pdf Lim, Song Wei (2023) Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm. Final Year Project, UTAR. http://eprints.utar.edu.my/5885/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic QA76 Computer software
spellingShingle QA76 Computer software
Lim, Song Wei
Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
description Solar Photovoltaic (PV) technology is a method that converts solar energy or sunlight into electricity using semiconductor materials. Solar PV technology is renewable and sustainable, and it is environmentally friendly. However, The quantity of solar energy gathered by the fixed tilt solar photovoltaic (PV) system depends significantly on its orientation with respect to the sun, it is because the solar PV system can harvest the most solar radiation when the panel surface is perpendicular to the sunray. In order to harvest maximum amount of solar irradiance, a fixed tilt solar PV system must be set up with the optimal tilt angle and orientation angle so that it is efficient and able to generate maximum amount of energy. This project aims to measure the performances of various photovoltaic power plants in Malaysia based on local spectral irradiances using genetic algorithm. A Python computational model that uses genetic algorithms will be developed to estimate the optimal tilt angle and orientation angle as well as the solar power received for the solar sites. The solar sites will be evaluated based on their annual average solar irradiation and the optimal tilt angle and orientation angle for solar panel at the solar sites can be estimated using the computational model. Based on the analysis result, by comparing the simulation result of tilt angle and orientation angle with the actual on-site experiment result of tilt angle and orientation angle, the model in this project is able to achieve 75% accuracy. Besides, the genetic algorithm has showed that it is an effective and efficient way to perform estimation of optimal tilt angle and orientation angle for solar sites with genetic algorithm as it is able to produce correct and accurate result in a short amount of time.
format Final Year Project / Dissertation / Thesis
author Lim, Song Wei
author_facet Lim, Song Wei
author_sort Lim, Song Wei
title Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
title_short Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
title_full Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
title_fullStr Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
title_full_unstemmed Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
title_sort performance analyses of various photovoltaic power plant based on local spectral irradiances in malaysia using genetic algorithm
publishDate 2023
url http://eprints.utar.edu.my/5885/1/SE_1903607_FYP_report_%2D_LimSongWei_%2D_SONG_WEI_LIM.pdf
http://eprints.utar.edu.my/5885/
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