Predictive models for physical properties of fats, oils, and biodiesel fuels

Pereira, Ericsem; Meirelles, Antônio José de Almeida; Máximo, Guilherme J.

doi:10.1016/j.fluid.2019.112440

Cited by 18 publications

(9 citation statements)

References 231 publications

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“…It becomes challenging to predict the exact value of density and viscosity of biodiesel blends due to their different characteristics. Indiscriminate correlations have been used to predict the density and viscosities of liquid blends [63]. In these correlations, viscosities are assumed to be an additive quantity and it can be modeled by ideal additivity method.…”

Section: Introductionmentioning

confidence: 99%

Modeling Viscosity and Density of Ethanol-Diesel-Biodiesel Ternary Blends for Sustainable Environment

et al. 2020

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Rapid depletion in fossil fuels, inflation in petroleum prices, and rising energy demand have forced towards alternative transport fuels. Among these alternative fuels, diesel-ethanol and diesel-biodiesel blends gain the most attention due to their quality characteristics and environmentally friendly nature. The viscosity and density of these biodiesel blends are slightly higher than diesel, which is a significant barrier to the commercialization of biodiesel. In this study, the density and viscosity of 30 different ternary biodiesel blends was investigated at 15 °С and 40 °С, respectively. Different density and viscosity models were developed and tested on biodiesel blends soured from different feedstock’s including palm, coconut, soybean, mustard, and calophyllum oils. The prognostic ability and precisions of these developed models was assessed statistically using Absolute Percentage Error (APE) and Mean Absolute Percentage Error (MAPE). The MAPE of 0.045% and 0.085% for density model and 1.85%, 1.41%, 3.48% and 2.27%, 1.85%, 3.50% for viscosity models were obtained on % volume and % mass basis. These developed correlations are useful for ternary biodiesel blends where alcohols are the part of biodiesel blends. The modeled values of densities and viscosities of ternary blends were significantly comparable with the measured densities and viscosities, which are feasible to avoid the harm of vehicles’ operability.

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Section: Introductionmentioning

confidence: 99%

Modeling Viscosity and Density of Ethanol-Diesel-Biodiesel Ternary Blends for Sustainable Environment

et al. 2020

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“…Nevertheless, given the variety of feedstock, FA profiles, and lipids, this huge need for analytical instruments can make the physical characterization of these items an expensive and delaying process [15][16][17]. Since it is not possible to collect data on properties under all possible conditions, accurate methods for predicting them can be very useful for the design of products and processes [18]. In predictive modeling, the physicochemical phenomena-based models can be more complete and less constrained compared to simple polynomial or linear-fitted equations [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Isentropic Compressibility of Biodiesel Using ELM Strategy: Application in Biofuel Production Processes

Elveny

Hosseini

Chen³

et al. 2021

BioMed Research International

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Isentropic compressibility is one of the significant properties of biofuel. On the other hand, the complexity related to the experimental procedure makes the detection process of this parameter time-consuming and hard. Thus, we propose a new Machine Learning (ML) method based on Extreme Learning Machine (ELM) to model this important value. A real database containing 483 actual datasets is compared with the outputs predicted by the ELM model. The results of this comparison show that this ML method, with a mean relative error of 0.19 and R 2 values of 1, has a great performance in calculations related to the biodiesel field. In addition, sensitivity analysis exhibits that the most efficient parameter of input variables is the normal melting point to determine isentropic compressibility.

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“…Managing all the information regarding the process options, including the intensified ones, supplies, raw material and product properties and technical, operational, economic, environmental and social requirements, is a difficult and time-consuming task. In addition, edible oil refineries design must overcome various constraints to their implementation, such as the complex and variable oil compositions, the lack of thermodynamic/physical properties and the huge amount of processing routes (Pereira et al, 2020). Besides, a sustainable perspective demands a balance fulfillment between antagonistic criteria and a robust hierarchy of the potential options.…”

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

Life cycle assessment of intensified processes towards circular economy: Omega-3 production from waste fish oil

Monsiváis-Alonso

Mansouri

Román-Martínez

2020

Chemical Engineering and Processing - Process Intensification

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Predictive models for physical properties of fats, oils, and biodiesel fuels

Cited by 18 publications

References 231 publications

Modeling Viscosity and Density of Ethanol-Diesel-Biodiesel Ternary Blends for Sustainable Environment

Modeling Viscosity and Density of Ethanol-Diesel-Biodiesel Ternary Blends for Sustainable Environment

Estimation of Isentropic Compressibility of Biodiesel Using ELM Strategy: Application in Biofuel Production Processes

Life cycle assessment of intensified processes towards circular economy: Omega-3 production from waste fish oil

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