“…It can be seen from Fig. 7a and b that the points are structureless and randomly scattered which indicated that all the information are well extracted and the residuals are independent of other variables [40][41][42][43]. In addition, all the points lie within the top outlier (+3.5) and bottom outlier (À3.5) detection limits, which implied that the response transformation is appropriate and successful in capturing the correlation between the four studied parameters influencing both the HDO and ISO of oleic acid into paraffinic biofuel [40,43].…”
Section: Regression Model Validationmentioning
confidence: 91%
“…9.24 for model Y and 8.84 for model Z). The Model F-value is 77.77 and 15.30 for the response function Y and Z, respectively, and these values implied that the models are significant and there is less than 0.01% probability that Model F-values this large could occur due to model error or noise, although it may be associated to experimental error [40][41][42].…”
Section: Regression Model Development and Analysismentioning
confidence: 99%
“…For model analysis, values of ''Prob > F'' less than 0.05 indicate model terms are significant [42]. In the case of HDO process A, B, C, D, A 2 , B 2 , C 2 , D 2 , AB, AC, AD, BC, BD are significant model terms.…”
Section: Regression Model Development and Analysismentioning
“…It can be seen from Fig. 7a and b that the points are structureless and randomly scattered which indicated that all the information are well extracted and the residuals are independent of other variables [40][41][42][43]. In addition, all the points lie within the top outlier (+3.5) and bottom outlier (À3.5) detection limits, which implied that the response transformation is appropriate and successful in capturing the correlation between the four studied parameters influencing both the HDO and ISO of oleic acid into paraffinic biofuel [40,43].…”
Section: Regression Model Validationmentioning
confidence: 91%
“…9.24 for model Y and 8.84 for model Z). The Model F-value is 77.77 and 15.30 for the response function Y and Z, respectively, and these values implied that the models are significant and there is less than 0.01% probability that Model F-values this large could occur due to model error or noise, although it may be associated to experimental error [40][41][42].…”
Section: Regression Model Development and Analysismentioning
confidence: 99%
“…For model analysis, values of ''Prob > F'' less than 0.05 indicate model terms are significant [42]. In the case of HDO process A, B, C, D, A 2 , B 2 , C 2 , D 2 , AB, AC, AD, BC, BD are significant model terms.…”
Section: Regression Model Development and Analysismentioning
“…The effectiveness of desulfurization depends on the correct solvent selection, the chemical activity of the components being removed, and other factors including environmental and toxicological aspects. The most commonly used solvents for the extraction of desulfurization of diesel fuel are N,N-dimethylformamide (DMF), dimethyl sulfoxide (DMSO), acetonitrile [6,7], N-methylpyrrolidone [8], and polyethylene glycol [9].…”
To remove sulfur-containing compounds (SCC) from the diesel fraction 200-360 °C extraction systems have been created based on coordinating organic solvents -dimethylformamide and dimethylsulfoxide and chlorides (CoCl2, CuCl2, CdCl2, MnCl2 and CrCl3) and metal trifluoroacetates (Co (TFA)2, Cu(TFA)2 and Mn(TFA)2). Using PMR spectroscopy the coordination of chloride and metal trifluoroacetate on the oxygen atom in the carbonyl group of DMFA was shown to redistribute electron density in the solvent molecule and to enhance properties of the acceptor center localized on the nitrogen atom. The removal of sulfur-containing compounds from the diesel fraction proceeded under mild conditions -at the temperature of 25 °C and atmospheric pressure. The degree of SCC removal from the diesel fraction in 30 minutes extraction was more than 90%. The interaction of organic solvents with metal salts and sulfur-containing compounds of the diesel fraction was considered within the framework of the concept of "hard and soft acids and bases" (HSAB). The most complete SCC extraction was carried out by "DMFA -Mn(TFA)2, MnCl2 and CrCl3 systems, that was probably connected with the implementation of the" hard base -hard acid "system.
“…Such side reactions can lead to a decrease in the octane number of gasoline (Nie et al 2006;Wang et al 2007). Therefore, from both environmental and economic considerations, various alternative deep desulfurization processes have been extensively developed in the past few years, including adsorptive and complexation desulfurization (Mansouri et al 2014;Sevignon et al 2005;Shi et al 2015), biodesulfurization (Boshagh et al 2014;Fernandez et al 2014), extractive desulfurization (Mokhtar et al 2014;Domanska et al 2014;Krolikowski et al 2013), and oxidative desulfurization (ODS) followed by extraction (Zhang et al 2013;Ma et al 2014). …”
The extractive desulfurization of a model gasoline containing several alkyl thiols and aromatic thiophenic compounds was investigated using two imidazolium-based ionic liquids (ILs), 1-butyl-3-methylimidazolium tetrachloroaluminate, and 1-octyl-3-methylimidazolium tetrafluoroborate, as extractants. A fractional factorial design of experiments was employed to evaluate the effects and possible interactions of several process variables. Analysis of variance tests indicated that the number of extraction steps and the IL/gasoline volume ratio were of statistically highly significant, but none of the interactions were significant. The results showed that the desulfurization efficiency of the model gasoline by the ILs could reach 95.2 % under the optimal conditions. The optimized conditions were applied to study the extraction of thiophenic compounds in model gasoline and several real gasoline samples; the following order was observed in their separation: benzothiophene [ thiophene [ 3-methylthiophene [ 2-methylthiophene, with 96.1 % removal efficiency for benzothiophene. The IL extraction was successfully applied as a complementary process to the adsorptive desulfurization with activated Raney nickel and acetonitrile solvent. The results indicated that the adsorptive process combined with IL extraction could provide high efficiency and selectivity, which can be regarded as a promising energy efficient desulfurization strategy for production of low-sulfur gasoline.
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