[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

NB Ishola, EI Epelle, E Betiku - Energy Conversion and Management: X, 2024 - Elsevier
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …

A comprehensive review on the current trends, challenges and future prospects for sustainable mobility

T Jeyaseelan, P Ekambaram, J Subramanian… - … and Sustainable Energy …, 2022 - Elsevier
Internal combustion engines power the great majority of automobiles on the road today.
However, the challenges of complying with other propulsion systems and near-zero …

Influence of blending additives in biodiesel on physiochemical properties, engine performance, and emission characteristics

A Gaur, G Dwivedi, P Baredar, S Jain - Fuel, 2022 - Elsevier
Fossil fuel depletion led researchers to find alternative fuel to the Compression Ignition (CI)
engines. Biodiesel has emerged as an eco-friendly, clean, and sustainable alternative which …

[HTML][HTML] Substitution of diesel fuel in conventional compression ignition engine with waste biomass-based fuel and its validation using artificial neural networks

K Ramalingam, EP Venkatesan, S Vellaiyan… - Process Safety and …, 2023 - Elsevier
This study aims to derive bioenergy from waste lather fat and citronella grass. Lather fat oil
(LFO), citronella grass oil (CGO), a mixture of leather fat oil and citronella grass oil (LFCGO) …

[HTML][HTML] Box-Behnken assisted RSM and ANN modelling for biodiesel production over titanium supported zinc-oxide catalyst

IC Emeji, B Patel - Energy, 2024 - Elsevier
Global utilization of Green fuels mitigates the harmful effects of climate change caused by
greenhouse gas emissions from fossil fuels. Biodiesel was identified as an alternative fuel to …

Crude rubber seed oil esterification using a solid catalyst: Optimization by hybrid adaptive neuro-fuzzy inference system and response surface methodology

CF Jisieike, NB Ishola, LM Latinwo, E Betiku - Energy, 2023 - Elsevier
Esterifying high free fatty acid (FFA) oil with acid is necessary to avoid soap formation during
biodiesel production. Thus, this study evaluated the efficacies of response surface …

[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 …

Effective utilization of azolla filiculoides for biodiesel generation using graphene oxide nano catalyst derived from agro-waste

S Sathish, S Supriya, P Andal, D Prabu, M Rajasimman… - Fuel, 2022 - Elsevier
A circular bioeconomy is concerned with environmental sustainability and waste
valorization. Utilization of leftovers and trashes while elevating the value of biomass through …

Process optimization of biodiesel from used cooking oil in a microwave reactor: a case of machine learning and Box–Behnken design

A Buasri, P Sirikoom, S Pattane, O Buachum… - ChemEngineering, 2023 - mdpi.com
In the present investigation, response surface methodology (RSM) and machine learning
(ML) are applied to the biodiesel production process via acid-catalyzed transesterification …

Maximizing biodiesel production: an intelligent software-driven optimization of ultrasonic reactor operating variables

MAG Nasim, O Khan, M Parvez, PS Chouhan - Bioresource Technology …, 2023 - Elsevier
The numerous advantages of integrating biodiesel with diesel engines have spurred many
studies towards optimizing the production process's operating parameters. Ultrasonic …