Cover Image

Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP)

The Analytical Hierarchy Process (AHP) which was developed by Saaty is a decision-making tool in the year of 1970s. The system is able to solve the complex analysis which could not be performed by the human brain. In this project, the AHP system is chosen to select a better insulating oil for power...

Full description

Saved in:
Bibliographic Details
Main Authors: Yanuar Zulardiansyah, Arief, Nazirah, Abd Hamid, Mohd Hafiez Izzwan, Saad, Rosyid Ridlo, Al Hakim
Format: Article
Language:English
Published: Jakarta Global University 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/40592/3/Determination%20of%20better%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/40592/
https://journal.jgu.ac.id/index.php/jgers/index
https://journal.jgu.ac.id/index.php/jgers/article/view/52
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir.40592
record_format eprints
spelling my.unimas.ir.405922022-12-01T01:15:45Z http://ir.unimas.my/id/eprint/40592/ Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP) Yanuar Zulardiansyah, Arief Nazirah, Abd Hamid Mohd Hafiez Izzwan, Saad Rosyid Ridlo, Al Hakim TK Electrical engineering. Electronics Nuclear engineering The Analytical Hierarchy Process (AHP) which was developed by Saaty is a decision-making tool in the year of 1970s. The system is able to solve the complex analysis which could not be performed by the human brain. In this project, the AHP system is chosen to select a better insulating oil for power transformer oil application since the insulation is the most important part of a transformer. In this research method based on the AHP technique, there are six criteria are involved in the model, namely breakdown voltage, dissipation factor/tan delta, pour point, kinematic viscosity, density, and flash point. While, the given alternatives are palm oil, canola oil, palm fatty acid ester (PFAE) oil, corn oil, sunflower oil, and soybean oil, respectively. A spreadsheet software application (Microsoft Excel) was employed in this study. As the result, it is found that the PFAE oil is the best insulating oil that able to be used in a real power transformer oil application. All requirements as insulating oil for transformer oil of PFAE oil are met significantly. Jakarta Global University 2022-06-10 Article PeerReviewed text en http://ir.unimas.my/id/eprint/40592/3/Determination%20of%20better%20-%20Copy.pdf Yanuar Zulardiansyah, Arief and Nazirah, Abd Hamid and Mohd Hafiez Izzwan, Saad and Rosyid Ridlo, Al Hakim (2022) Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP). Journal of Global Engineering Research & Science (J-GERS), 1 (1). pp. 45-58. ISSN 2830-5418 https://journal.jgu.ac.id/index.php/jgers/index https://journal.jgu.ac.id/index.php/jgers/article/view/52
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Yanuar Zulardiansyah, Arief
Nazirah, Abd Hamid
Mohd Hafiez Izzwan, Saad
Rosyid Ridlo, Al Hakim
Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP)
description The Analytical Hierarchy Process (AHP) which was developed by Saaty is a decision-making tool in the year of 1970s. The system is able to solve the complex analysis which could not be performed by the human brain. In this project, the AHP system is chosen to select a better insulating oil for power transformer oil application since the insulation is the most important part of a transformer. In this research method based on the AHP technique, there are six criteria are involved in the model, namely breakdown voltage, dissipation factor/tan delta, pour point, kinematic viscosity, density, and flash point. While, the given alternatives are palm oil, canola oil, palm fatty acid ester (PFAE) oil, corn oil, sunflower oil, and soybean oil, respectively. A spreadsheet software application (Microsoft Excel) was employed in this study. As the result, it is found that the PFAE oil is the best insulating oil that able to be used in a real power transformer oil application. All requirements as insulating oil for transformer oil of PFAE oil are met significantly.
format Article
author Yanuar Zulardiansyah, Arief
Nazirah, Abd Hamid
Mohd Hafiez Izzwan, Saad
Rosyid Ridlo, Al Hakim
author_facet Yanuar Zulardiansyah, Arief
Nazirah, Abd Hamid
Mohd Hafiez Izzwan, Saad
Rosyid Ridlo, Al Hakim
author_sort Yanuar Zulardiansyah, Arief
title Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP)
title_short Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP)
title_full Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP)
title_fullStr Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP)
title_full_unstemmed Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP)
title_sort determination of better insulating oil for power transformer oil application using analytical hierarchy process (ahp)
publisher Jakarta Global University
publishDate 2022
url http://ir.unimas.my/id/eprint/40592/3/Determination%20of%20better%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/40592/
https://journal.jgu.ac.id/index.php/jgers/index
https://journal.jgu.ac.id/index.php/jgers/article/view/52
_version_ 1751540634483687424
score 13.211869

Similar Items