A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system

The cost of solar panel installation has been decreased since a decade ago, yet it is considered as an expensive investment considering its less inefficiency in energy capture of fixed solar panels. Besides, the solar power output is highly depending on the climate. Due to this matter, the accurate...

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Main Author: Ku Azmie Ku Husin
Format: UMK Etheses
Language:English
Published: 2022
Online Access:http://discol.umk.edu.my/id/eprint/13383/1/Ku%20Azmie%20Ku%20Husin.pdf
http://discol.umk.edu.my/id/eprint/13383/
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spelling my.umk.eprints.133832023-06-13T05:15:16Z http://discol.umk.edu.my/id/eprint/13383/ A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system Ku Azmie Ku Husin The cost of solar panel installation has been decreased since a decade ago, yet it is considered as an expensive investment considering its less inefficiency in energy capture of fixed solar panels. Besides, the solar power output is highly depending on the climate. Due to this matter, the accurate forecasting of solar energy generation is very important, especially for east coast states of Malaysia that face northeast monsoon every year. Thus, in this study, few solar panels (0° horizontal flat-, 45° tilted- and auto-track-) were installed for a mini farm which equipped with Internet-of-Thing (IoT) system for data collection and the solar energy outputs were compared. From the results, the highest energy generated mostly from 12.00 until 2.00 pm with approximately 61% efficiency. The total solar power can reach up to 309W (45.6%) at ±30.9 ⁰C which enough to power on 12V 75W water pump. PV solar panel at 45° tilted generated higher average power (104.1W, 37.9%) compared to 0° horizontal flat ones (93.8W, 34.4%) with 3.5% difference and auto-tracker (125.6W, 45.9%) with 8% increment. Then, ARIMA (11, 2, 4) model was applied to forecast the data. Around 32% of Mean Absolute Percentage Error (MAPE) implies that the validity model about 68%. In conclusion, auto-track solar panel equipped with IoT system highlighted better solar capture compared to 0° horizontal flat and 45° tilted solar panels. The integrated technologies of solar-powered water pump with IoT system significantly cost-effective and easy for data collection. The forecasting of data analysis also bring potential for better farm management to ensure the availability and back-up of electricity supply, besides to avoid over and underutilization of electricity. 2022 UMK Etheses NonPeerReviewed text en http://discol.umk.edu.my/id/eprint/13383/1/Ku%20Azmie%20Ku%20Husin.pdf Ku Azmie Ku Husin (2022) A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system. Masters thesis, Universiti Malaysia Kelantan. (Submitted)
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
language English
description The cost of solar panel installation has been decreased since a decade ago, yet it is considered as an expensive investment considering its less inefficiency in energy capture of fixed solar panels. Besides, the solar power output is highly depending on the climate. Due to this matter, the accurate forecasting of solar energy generation is very important, especially for east coast states of Malaysia that face northeast monsoon every year. Thus, in this study, few solar panels (0° horizontal flat-, 45° tilted- and auto-track-) were installed for a mini farm which equipped with Internet-of-Thing (IoT) system for data collection and the solar energy outputs were compared. From the results, the highest energy generated mostly from 12.00 until 2.00 pm with approximately 61% efficiency. The total solar power can reach up to 309W (45.6%) at ±30.9 ⁰C which enough to power on 12V 75W water pump. PV solar panel at 45° tilted generated higher average power (104.1W, 37.9%) compared to 0° horizontal flat ones (93.8W, 34.4%) with 3.5% difference and auto-tracker (125.6W, 45.9%) with 8% increment. Then, ARIMA (11, 2, 4) model was applied to forecast the data. Around 32% of Mean Absolute Percentage Error (MAPE) implies that the validity model about 68%. In conclusion, auto-track solar panel equipped with IoT system highlighted better solar capture compared to 0° horizontal flat and 45° tilted solar panels. The integrated technologies of solar-powered water pump with IoT system significantly cost-effective and easy for data collection. The forecasting of data analysis also bring potential for better farm management to ensure the availability and back-up of electricity supply, besides to avoid over and underutilization of electricity.
format UMK Etheses
author Ku Azmie Ku Husin
spellingShingle Ku Azmie Ku Husin
A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system
author_facet Ku Azmie Ku Husin
author_sort Ku Azmie Ku Husin
title A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system
title_short A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system
title_full A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system
title_fullStr A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system
title_full_unstemmed A comparative and predictive analysis of solar power output from different tilt angles of Internet-Of-Thing (IoT) based solar panels for irrigation system
title_sort comparative and predictive analysis of solar power output from different tilt angles of internet-of-thing (iot) based solar panels for irrigation system
publishDate 2022
url http://discol.umk.edu.my/id/eprint/13383/1/Ku%20Azmie%20Ku%20Husin.pdf
http://discol.umk.edu.my/id/eprint/13383/
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score 13.160551