LAPSE:2023.31000
Published Article
LAPSE:2023.31000
Modelling Electroluminescence Emission in Polymeric Material Using Dimensional Analysis Method
Nurul Aini Bani, Firdaus Muhammad-Sukki, Abdullahi Abubakar Mas’ud, Mohd Nabil Muhtazaruddin, Siti Hawa Abu-Bakar, Mohd Khairil Rahmat, Umar Musa, Mohamad Nur Khairul Hafizi Rohani, Michael Opoku Agyeman
April 17, 2023
The Electroluminescence (EL) technique has garnered significant interest over time for its reliable outcomes that enrich our understanding of the onset of electrical degradation in polymeric material. There is growing interest in combining both the EL technique and space charge measurement methods to obtain a more profound knowledge of the degradation and ageing of insulation. The generation of charge carriers in polymeric materials is widely acknowledged to be a crucial aspect of EL, involving injection, de-trapping, and field dissociation processes. This research investigates the variables that influence how EL emissions behave, including applied voltage or electric field, applied electrical frequency, ageing of material, and selection of materials and gases employed. It was found that these factors can be helpful in predicting the process of electrical ageing in insulation to avoid any catastrophes that may occur. A mathematical approach relating these factors and the intensity of EL is proposed through the aid of Dimensional Analysis method. A close relationship is obtained that suggests this mathematical approach can be utilised as a tool to predict electrical ageing of insulation material.
Keywords
ageing, dimensional analysis, electroluminescence, insulation, Modelling
Subject
Suggested Citation
Bani NA, Muhammad-Sukki F, Mas’ud AA, Muhtazaruddin MN, Abu-Bakar SH, Rahmat MK, Musa U, Rohani MNKH, Agyeman MO. Modelling Electroluminescence Emission in Polymeric Material Using Dimensional Analysis Method. (2023). LAPSE:2023.31000
Author Affiliations
Bani NA: Razak Faculty of Technology & Informatics, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia
Muhammad-Sukki F: School of Computing, Engineering & the Built Environment, Merchiston Campus, Edinburgh Napier University, 10 Colinton Road, Edinburgh EH10 5DT, UK [ORCID]
Mas’ud AA: Department of Electrical Engineering, Jubail Industrial College, Al Jubail 35718, Saudi Arabia [ORCID]
Muhtazaruddin MN: Razak Faculty of Technology & Informatics, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia [ORCID]
Abu-Bakar SH: Renewable Energy Research Laboratory, Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Jalan Sungai Pusu, Gombak 53100, Malaysia
Rahmat MK: Renewable Energy Research Laboratory, Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Jalan Sungai Pusu, Gombak 53100, Malaysia
Musa U: Department of Electrical Engineering, Ahmadu Bello University, Samaru, Zaria 810211, Nigeria
Rohani MNKH: Faculty of Electrical Engineering and Technology, Universiti Malaysia Perlis, Perlis 02600, Malaysia
Agyeman MO: Centre for Advanced and Smart Technologies (CAST), Faculty of Arts Sciences and Technologies (FAST), University of Northampton, Northampton NN1 5PH, UK [ORCID]
Journal Name
Energies
Volume
16
Issue
7
First Page
3262
Year
2023
Publication Date
2023-04-05
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16073262, Publication Type: Journal Article
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LAPSE:2023.31000
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doi:10.3390/en16073262
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