Towards a sustainable approach for development of biodiesel from plant and microalgae
The production of biodiesel can be accomplished using a variety of feedstock sources. Plant
and microalgae based feedstocks are prominent and are studied extensively. Plant based …
and microalgae based feedstocks are prominent and are studied extensively. Plant based …
A comprehensive review on nanocatalysts and nanobiocatalysts for biodiesel production in Indonesia, Malaysia, Brazil and USA
Biodiesel is an alternative to fossil-derived diesel with similar properties and several
environmental benefits. Biodiesel production using conventional catalysts such as …
environmental benefits. Biodiesel production using conventional catalysts such as …
Investigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN)
Biodiesel will provide a significant renewable energy source for transportation in the near
future. In the present study, principal component analysis (PCA) has been used to …
future. In the present study, principal component analysis (PCA) has been used to …
Biodiesel density: experimental measurements and prediction models
MJ Pratas, SVD Freitas, MB Oliveira, SC Monteiro… - Energy & …, 2011 - ACS Publications
Density is an important biodiesel parameter, with impact on fuel quality. Predicting density is
of high relevance for a correct formulation of an adequate blend of raw materials that …
of high relevance for a correct formulation of an adequate blend of raw materials that …
Density and viscosity of biodiesel as a function of temperature: Empirical models
LFR Verduzco - Renewable and Sustainable Energy Reviews, 2013 - Elsevier
Biodiesel is a promising alternative of renewable energy obtained from natural raw material.
This work presents empirical models to predict the density (ρ) and dynamic viscosity (μ) of …
This work presents empirical models to predict the density (ρ) and dynamic viscosity (μ) of …
Artificial neural network models to predict density, dynamic viscosity, and cetane number of biodiesel
CI Rocabruno-Valdés, LF Ramírez-Verduzco… - Fuel, 2015 - Elsevier
Biodiesel is considered as an alternative source of energy obtained from renewable
materials. This paper presents models based on artificial neural networks (ANNs) to predict …
materials. This paper presents models based on artificial neural networks (ANNs) to predict …
Prediction of the density and viscosity in biodiesel blends at various temperatures
LF Ramírez-Verduzco, BE García-Flores… - Fuel, 2011 - Elsevier
Biodiesel defined as mono-alkyl esters of vegetable oils and animal fats, has had a
considerable development and great acceptance as an alternative fuel for diesel engines …
considerable development and great acceptance as an alternative fuel for diesel engines …
Evaluation of predictive models for the viscosity of biodiesel
Viscosity is an important biodiesel parameter, subject to specifications and with an impact on
the fuel quality. A model that could predict the value of viscosity of a biodiesel based on the …
the fuel quality. A model that could predict the value of viscosity of a biodiesel based on the …
Neural network prediction of biodiesel kinematic viscosity at 313 K
X Meng, M Jia, T Wang - Fuel, 2014 - Elsevier
Viscosity is an important fluid property because of its direct relation with the fuel injection
process for engines. The kinematic viscosity of biodiesel at 313 K should satisfy the range …
process for engines. The kinematic viscosity of biodiesel at 313 K should satisfy the range …
Group contribution method for predicting viscosity of alkyl esters and biodiesel
LF Ramírez-Verduzco, MJ Hernández-Sánchez - Fuel, 2024 - Elsevier
People will need to use energy from sustainable sources more frequently to achieve neutral
carbon emissions in the energy context transition in the close future. Biofuels are an …
carbon emissions in the energy context transition in the close future. Biofuels are an …