[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 …

Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization

AS Silitonga, AH Shamsuddin, TMI Mahlia, J Milano… - Renewable Energy, 2020 - Elsevier
In this study, microwave irradiation-assisted transesterification was used to produce Ceiba
pentandra biodiesel, which accelerates the rate of reaction and temperature within a shorter …

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 …

Application of agricultural waste-based catalysts to transesterification of esterified palm kernel oil into biodiesel: a case of banana fruit peel versus cocoa pod husk

VO Odude, AJ Adesina, OO Oyetunde… - Waste and biomass …, 2019 - Springer
This study aimed at modeling and optimizing the production of fatty acid methyl esters from
esterified palm kernel oil using two heterogeneous biowaste catalysts namely calcined …

[HTML][HTML] A review of an artificial intelligence framework for identifying the most effective palm oil prediction

FN Mohd Nain, NH Ahamed Hassain Malim… - Algorithms, 2022 - mdpi.com
Machine Learning (ML) offers new precision technologies with intelligent algorithms and
robust computation. This technology benefits various agricultural industries, such as the …

Optimization of microwave-assisted solvent extraction of non-edible sandbox (Hura crepitans) seed oil: A potential biodiesel feedstock

AP Ibrahim, RO Omilakin, E Betiku - Renewable Energy, 2019 - Elsevier
In this study, modeling and optimization of the microwave-assisted solvent extraction
(MASE) of sandbox seed oil (SSO) were investigated. D-optimal design with two numeric …

Combination of computational fluid dynamics, adaptive neuro-fuzzy inference system, and genetic algorithm for predicting discharge coefficient of rectangular side …

H Azimi, S Shabanlou, I Ebtehaj… - Journal of Irrigation …, 2017 - ascelibrary.org
Side orifices are used to divide and adjust flow into aeration ponds, sedimentation
reservoirs, flocculation units, and other hydraulic and environmental areas. In this study, the …

Neem-castor seed oil esterification modelling: comparison of RSM and ANFIS

OD Samuel, J Emajuwa, M Kaveh… - Materials Today …, 2023 - Elsevier
Even though the desirable fuel properties and enhanced engine characteristics of an IC
engine have led to the adoption of hybrid second generational oily feedstock (HSGOF) over …

Mathematical modeling and optimization studies by Artificial neural network, genetic algorithm and response surface methodology: a case of ferric sulfate–catalyzed …

KE Okpalaeke, TH Ibrahim, LM Latinwo… - Frontiers in Energy …, 2020 - frontiersin.org
High free fatty acids (FFA) content in oils poses challenges such as soap formation and
difficulty in the separation of by-products in direct transesterification of oil to biodiesel, which …

Kariya (Hildegardia barteri) seed oil extraction: comparative evaluation of solvents, modeling, and optimization techniques

AA Okeleye, E Betiku - Chemical Engineering Communications, 2019 - Taylor & Francis
In this work, the effects of solid/solvent ratio (0.10–0.25 g/ml), extraction time (3–8 h), and
solvent type (n-hexane, ethyl acetate, and acetone) together with their shared interactions …