Machine learning technology in biodiesel research: A review

M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in …

SD Shelare, PN Belkhode, KC Nikam, LD Jathar… - Energy, 2023 - Elsevier
As the global population and economy grow, so does the energy demand. Over-reliance on
non-renewable resources leads to depletion and price spikes, making renewable …

Microwave-assisted one-step production of biodiesel from waste cooking oil by magnetic bifunctional SrO–ZnO/MOF catalyst

J Yang, W Cong, Z Zhu, Z Miao, YT Wang… - Journal of Cleaner …, 2023 - Elsevier
Abstract Magnetic bifunctional SrO–ZnO/MOF catalyst supported on metal-organic
framework (MOF) was synthesized for one-step biodiesel production from high acid value …

[HTML][HTML] A review of global current scenario of biodiesel adoption and combustion in vehicular diesel engines

O Ogunkunle, NA Ahmed - Energy Reports, 2019 - Elsevier
Delving into the current chronicles of research findings, explorations of biodiesel production
and utilization in diesel engines have been at the forefront of sustainable and creative …

Prediction of biodiesel production from microalgal oil using Bayesian optimization algorithm-based machine learning approaches

N Sultana, SMZ Hossain, M Abusaad, N Alanbar… - Fuel, 2022 - Elsevier
Biodiesel has appeared as a renewable and clean energy resource and a means of
diminishing global warming. This study provides Bayesian optimization algorithm (BOA) …

A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques

J Ahmad, M Awais, U Rashid, C Ngamcharussrivichai… - Fuel, 2023 - Elsevier
Since industrial development and globalization of the world, fossil fuels remain a major
source of energy for almost all sectors of life. Fossil fuels, without doubt, play a vital role in …

[HTML][HTML] Optimizing IC engine efficiency: a comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning

MEM Soudagar, S Shelare, D Marghade… - Energy Conversion and …, 2024 - Elsevier
Transportation and power generation have historically relied upon Internal Combustion
Engines (ICEs). However, because of environmental impact and inefficiency, considerable …

A review on machine learning application in biodiesel production studies

Y Xing, Z Zheng, Y Sun… - International Journal of …, 2021 - Wiley Online Library
The consumption of fossil fuels has exponentially increased in recent decades, despite
significant air pollution, environmental deterioration challenges, health problems, and …

Solar heat for biodiesel production in microchannel

A Biabani, A Khoshhal, B Aghel - Fuel, 2023 - Elsevier
The limited resources of fossil fuels and environmental pollution have led researchers to use
renewable green fuels such as biodiesel. The important costs in the biodiesel production …

Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review

AI Osman, M Nasr, M Farghali, AK Rashwan… - Environmental …, 2024 - Springer
The excessive reliance on fossil fuels has resulted in an energy crisis, environmental
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …