Flash point prediction of tailor-made green diesel blends containing B5 palm oil biodiesel and alcohol

Phoon, Li Yee; Hashim, Haslenda; Mat, Ramli; Mustaffa, Azizul Azri

doi:10.1016/j.fuel.2016.02.027

Cited by 27 publications

(11 citation statements)

References 25 publications

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“…The activity coefficient of each pseudocomponent was calculated as the average of the activity coefficients for each shown when revised parameters were applied to modified UNIFAC models, probably due to the higher number of interaction parameters in these models, according to the authors. 97 By applying Le Chatelier's rule, A ́lvarez et al 85 proposed two models to predict FP of alcohol + biodiesel + diesel mixtures. The first one was based on Liaw's model, and the second one combined Liaw's model with the Gibbs−Duhen equation (Equation 45).…”

Section: Biodiesel Blend Flash Point Predictionmentioning

confidence: 99%

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Costa do Nascimento,

Souza,

Hentges

et al. 2024

ACS Chem. Health Saf.

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To safely handle, transport, and store flammable or combustible liquids, such as biodiesel and its blends, it is important to have knowledge of a few physical-chemical properties. The Flash Point is an important one, as it is related to the flammability of the fuel blend. It can be experimentally measured through open cup or closed cup standard procedures. However, due to the usual scarcity of experimental data for multicomponent systems, developing a model to predict flash points of mixtures is of interest. To do so, there are a few possible approaches, which include empirical regression of data, vapor pressure-based methods, and QSPR. When it comes to mixtures, the most popular modeling method is based on vapor pressure, which usually employs LeChatelier's rule and vapor−liquid equilibria (VLE) calculations to flash point prediction. Generally, a γ−φ approach is adopted to describe the VLE behavior, although some authors have shown interest in φ−φ approaches. In recent years, studies on QSPR for FP prediction of mixtures have evolved, which represents an advance toward more generalized FP prediction models. Additionally, COSMO type models have been gaining attention in FP prediction, usually associated with vapor pressure models or even empirical models. When it comes to biodiesel though, not much progress has been made since 2014, with just a few works being published since then. This paper seeks to review advances made in FP prediction methods for mixtures in general, while giving attention to those involving biodiesel and petro-diesel.

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Section: Biodiesel Blend Flash Point Predictionmentioning

confidence: 99%

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Costa do Nascimento,

Souza,

Hentges

et al. 2024

ACS Chem. Health Saf.

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“…Flash point is an important property for fuel transportation and storage. Flash point is defined as the lowest temperature at which the vapor and air mixture on the liquid fuel flashes when it comes into contact with a fire source under certain conditions [100,101]. Vegetable oils using methanol in the production of biodiesel have a higher flash point than diesel due to their low volatility [102].…”

Section: Features Of Biodieselmentioning

confidence: 99%

Determination of optimum parameters for esterification in high free fatty acid olive oil and ultrasound-assisted biodiesel production

Söyler

Balki

Sayın

2021

Biomass Conv. Bioref.

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In this study, biodiesel was produced from high free fatty acid (FFA) oil obtained from waste olives, whose food quality deteriorated by falling from the tree to the ground. The FFA value of the oil obtained from waste olives was determined as 23% by titration method. In order to produce biodiesel with high conversion efficiency, esterification process was carried out to reach at least 1% FFA value in the first stage of the study. Acid esterification experiments were designed according to Taguchi's L 16 (4 2 2 1 ) orthogonal array. The amount of sulfuric acid catalyst, methanol ratio, and mixing speed were taken as the test variables for the esterification process. For the lowest FFA value, optimum test parameters were determined using the signal-to-noise (S/N) ratio. In the biodiesel production stage, ultrasound-assisted transesterification method was preferred in terms of high conversion efficiency and short reaction duration. According to the results, it was determined that the optimum reaction conditions in the esterification process were 25% by weight acid catalyst (according to the weight of the FFA in the oil), 22:1 methanol molar ratio in terms of fatty acids, and 400 rpm mixing speed. At these reaction conditions, the FFA of the oil was reduced from 23 to 0.608% in a single step. In the ultrasound-assisted process, Waste olive oil methyl ester (WOOME) conversion yield of 98.7% was achieved in a reaction time of 10 min. The fuel properties of WOOME (also called biodiesel) were determined to be within the EN 14214 standard. As a result, optimization was made to minimize the use of alcohol and catalyst in the acid esterification process. Also, time and energy savings were achieved in biodiesel production with ultrasound-assisted.

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“…Still, there are few works on the literature concerning biodiesel fire hazard through FP evaluation [5,6,[24][25][26][27][28][29]. Despite the need for information on flammability c haracterization o f b iodiesel a nd i ts production process, the correlation between biodiesel's FP, its composition and its solution behavior through Excess Gibbs Energy in terms of activity coefficient evaluation is rarely studied.…”

Section: Flash Point Modelmentioning

confidence: 99%

Flash point prediction with UNIFAC type models of ethylic biodiesel and binary/ternary mixtures of FAEEs

Nascimento

Carareto

Neto

et al. 2020

Fuel

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In order to guarantee safe handling of a combustible liquid, such as biodiesel, it is important to be aware of its Flash Point (FP). Thus, the present study focused on FP experimental measurement and thermodynamic correlation of binary and ternary mixtures of saturated or unsaturated fatty acid ethyl esters (FAEEs) as surrogates for biodiesel. FP of different types of ethylic biodiesel in terms of feedstock (canola, corn, cotton and soy oils) were also measured and compared with the predicted values. Experiments were carried out in agreement with the standard closed cup procedure ASTM D6450. Liaw's model was applied to FP prediction, with liquid phase non-ideality description accounted for by UNIFAC group contribution models (Original UNIFAC, UNIFAC-Dortmund and UNIFAC-Bessa with revised parameters for fats). FP prediction accounting for non-ideality proved to be accurate, with some difference between the UNIFAC type models and Root Mean Square Deviations (RMSD) varying from 0.27 K to 3.95 K for binary and ternary mixtures.

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Flash point prediction of tailor-made green diesel blends containing B5 palm oil biodiesel and alcohol

Cited by 27 publications

References 25 publications

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Determination of optimum parameters for esterification in high free fatty acid olive oil and ultrasound-assisted biodiesel production

Flash point prediction with UNIFAC type models of ethylic biodiesel and binary/ternary mixtures of FAEEs

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