[HTML][HTML] Power transformer insulation system: A review on the reactions, fault detection, challenges and future prospects

VA Thiviyanathan, PJ Ker, YS Leong, F Abdullah… - Alexandria Engineering …, 2022 - Elsevier
Power transformer is one of the main equipment in power transmission and distribution
network. Thus, it is important to ensure optimal operation of power transformer for an efficient …

Methods for improving the workability of natural ester insulating oils in power transformer applications: A review

S Ab Ghani, NA Muhamad, ZA Noorden… - Electric Power Systems …, 2018 - Elsevier
Even though natural insulating oils (NEI) oils are environmentally friendly, these oils have
not gained widespread use in high-voltage oil-immersed power transformers because of …

Extraction modeling, kinetics, and thermodynamics of solvent extraction of Irvingia gabonensis kernel oil, for possible industrial application

CM Agu, MC Menkiti, PE Ohale… - Engineering …, 2021 - Wiley Online Library
The effects of the temperature, time, and particle size, in addition to the kinetics and
thermodynamics parameters, of Irvingia gabonensis kernel oil (IGKO) yield were …

Feasibility study of waste vegetable oil as an alternative cooling medium in transformers

L Raeisian, H Niazmand… - Applied Thermal …, 2019 - Elsevier
Vegetable oils due to their unique properties of availability and biodegradability can be
considered as a reliable substitute for petroleum-based oils in transformer cooling system …

[HTML][HTML] Application of efficient soft computing approaches for modeling methyl ester yield from Azadirachta Indica (Neem) seed oil: A comparative study of RSM, ANN …

CM Agu, KA Ani, ON Ani, PC Nnaji… - Green Technologies and …, 2024 - Elsevier
This work centers on methyl ester yield modeling; by Azadirachta Indica seed oil (AISO)
transesterification, using Adaptive Neuro-fuzzy Inference System (ANFIS), Artificial Neural …

[HTML][HTML] Modeling and optimization of Terminalia catappa L. kernel oil extraction using response surface methodology and artificial neural network

CM Agu, MC Menkiti, EB Ekwe, AC Agulanna - Artificial Intelligence in …, 2020 - Elsevier
In this study, response surface methodology (RSM) and artificial neural network (ANN) were
used to optimize Terminalia catappa L. kernel oil (TCKO) yield. Solvent extraction method …

Recent progress and challenges in transformer oil nanofluid development: A review on thermal and electrical properties

D Amin, R Walvekar, M Khalid, M Vaka… - IEEE …, 2019 - ieeexplore.ieee.org
Transformer oil is refined electrical insulating oil, which is extremely stable at high
temperatures and possesses excellent electrical insulating properties. These special types …

Chemical transesterification of soybean oil as a feedstock for stable biodiesel and biolubricant production by using Zn Al hydrotalcites as a catalyst and perform …

S Shrivastava, P Prajapati, P Srivastava… - Industrial Crops and …, 2023 - Elsevier
Trimethylolpropane fatty acid triester (TFATE) is a potential biolubricant that could substitute
mineral-based lubricants in an environmentally responsible way. Double transesterification …

Comparative assessment of chemically modified Terminalia catappa L. kernel oil samples–a promising ecofriendly transformer fluid

CM Agu, MC Menkiti, JT Nwabanne… - Industrial crops and …, 2019 - Elsevier
This work is centered on the chemical modification and characterization of Terminalia
catappa kernel oil (TCKO) for possible use as replacement for mineral transformer fluid …

[HTML][HTML] Methyl ester production from cotton seed oil via catalytic transesterification process; characterization, fatty acids composition, kinetics, and thermodynamics …

CM Agu, CC Orakwue, ON Ani, MP Chinedu… - … Chemistry for the …, 2024 - Elsevier
In this study, Cotton seed methyl ester (CSME) was produced from extracted Cotton seed oil
(CSO) through transesterification process that involves two steps. The CSO obtained from …