@inproceedings{733e52dbad5c49d480b3136c1f6b2304,
title = "Solar Photovoltaics Thermal Profiles Development and Visualization: Experimental, Numerical Analysis and Validation",
abstract = "The current energy market is moving towards digitalization for energy yield monitoring. As an intermittency resource, solar energy production needs to be monitored closely which is highly dependent on environmental factors. Various research had been carried out to improve the safety, reliability and life cycle of solar PV systems. Thermal flow has been identified as one of the measurements that will significantly affect the system{\textquoteright}s capability in terms of output and efficiency. Thermal flow studies received increased attention in sensing and visualization mechanisms among the solar industry{\textquoteright}s stakeholders. The aim of this research paper is to design and implement a visualizing tool for solar PV thermal flow. The development of the graphical user interface (GUI) was also discussed in the paper to display and visualize the temperature condition. GUI has been developed to display images that determine the temperature condition in selected resolutions. The implication of the project is discovering the most optimal temperature measurement technique that can be utilized for upcoming real-time condition monitoring systems of solar PV systems. The significance of the output from this research would bring great benefits to future solar panel researchers regarding the importance of applying such visualizing techniques to PV systems by providing better temperature data analysis, identifying thermal flow patterns and allowing manufacturers to have quick action towards common faults. Results show that nearest-neighbour interpolation offers a slightly more accurate temperature reading compared to the Bicubic interpolation with an approximation error difference of 0.00596. Results have been validated using a thermal gun where bicubic interpolation produces a higher range of temperature reading compared to nearest-neighbour interpolation, with a difference in percentage accuracy reading of 0.5462%.",
keywords = "GUI, Interpolation, Monitoring, Sensing, Thermal flow",
author = "Zairin, {Muhammad Danish Arman} and Go, {Yun Ii}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; ASEAN Australian Engineering Congress 2022, AAEC 2022 ; Conference date: 12-07-2022 Through 14-07-2022",
year = "2023",
month = nov,
day = "18",
doi = "10.1007/978-981-99-5547-3_20",
language = "English",
isbn = "9789819955466",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "259--268",
editor = "Choo, {Chung Siung} and Wong, {Basil T.} and Sharkawi, {Khairul Hafiz Bin} and Daniel Kong",
booktitle = "Proceedings of ASEAN-Australian Engineering Congress (AAEC2022)",
address = "United States",
}