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 …

A critical review on available models to predict engine fuel properties of biodiesel

KR Bukkarapu, A Krishnasamy - Renewable and Sustainable Energy …, 2022 - Elsevier
The engine fuel properties of biodiesel are required for fuel quality assessment, spray and
combustion modelling studies and engine optimization studies. Experimental measurement …

[HTML][HTML] A critical review of machine learning for lignocellulosic ethanol production via fermentation route

A Coşgun, ME Günay, R Yıldırım - Biofuel Research Journal, 2023 - biofueljournal.com
In this work, machine learning (ML) applications in lignocellulosic bioethanol production
were reviewed. First, the pretreatment-hydrolysis-fermentation route, the most commonly …

Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning

A Coşgun, ME Günay, R Yıldırım - Renewable Energy, 2021 - Elsevier
In this work, the algal biomass productivity and its lipid content were explored using a
database containing 4670 instances extracted from the experimental results reported in 102 …

Biodiesel yield and properties optimization from Kusum oil by RSM

HS Pali, A Sharma, N Kumar, Y Singh - Fuel, 2021 - Elsevier
Biodiesel proved its existence as a superior alternative fuel for CI engines. But
commercialization of biodiesel as a fuel is restricted its demand as compared to diesel fuel …

A composition based approach to predict density, viscosity and surface tension of biodiesel fuels

S Mishra, KR Bukkarapu, A Krishnasamy - Fuel, 2021 - Elsevier
The variations in biodiesel composition based on the feedstock used for its production result
in significant variations in the fuel properties and thereby, engine characteristics. This …

Biodiesel production from sour cherry kernel oil as novel feedstock using potassium hydroxide catalyst: Optimization using response surface methodology

S Almasi, G Najafi, B Ghobadian, S Jalili - Biocatalysis and Agricultural …, 2021 - Elsevier
The current study has been done with the goal of biodiesel synthesis of sour cherry kernel
oil (SCKO). SCKO is a potential novel and free source for biodiesel production. SCKs have …

[HTML][HTML] Application of machine learning techniques to predict biodiesel iodine value

GD Valbuena, AG Tuero, J Díez, E Rodríguez… - Energy, 2024 - Elsevier
Biodiesel is a good alternative to fossil fuels for conventional engines, but determining the
properties of biodiesel can be a time-consuming and resource-intensive process. Therefore …

[HTML][HTML] Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models

RSM Freitas, ÁPF Lima, C Chen, FA Rochinha, D Mira… - Fuel, 2022 - Elsevier
Accurate determination of fuel properties of complex mixtures over a wide range of pressure
and temperature conditions is essential to utilizing alternative fuels. The present work aims …

A machine learning framework for evaluating the biodiesel properties for accurate modeling of spray and combustion processes

J Thangaraja, L Zigan, S Rajkumar - Fuel, 2023 - Elsevier
The environment-friendly nature of biodiesel coupled with its inherent compression ignition
fuel characteristics like better ignition quality, and fuel bound oxygen may reduce sooting …