Gasoline Components Research Articles

Numerical investigation of soot emission sources in a direct-injection spark-ignition engine based on comprehensive breakup model validation

Direct injection system is widely adopted in spark-ignition engines to achieve higher thermal efficiency, but it accompanies a penalty in particulate emission, especially when engine is not fully warmed-up. Split injection strategy is known to be an effective measure to reduce engine-out particulate emissions. To better understand the role of split injections, this study aims to analyze the effect of split injection strategy on the sources of soot formation using computational fluid dynamics simulation. To accurately predict changes in particulate mass and number associated with split injection strategy, it is vital that spray models be carefully validated against the experimental data since spray dynamics govern the formation of soot emission sources, such as local fuel-rich mixtures and wall-deposited fuel-films. To this end, a set of spray experiments for free sprays is performed to measure liquid penetration length and droplet size distribution, and hence a comprehensive validation is conducted for spray breakup models. Then, engine simulations are carried out to predict the change in soot sources according to split injection, and the trend of simulation results is compared against the measured engine-out particulate mass and number. Simulation results indicate that breakup model validation using both penetration length and droplet size data is critical for predicting fuel spray dynamics and formation of sources of soot emission. It is also revealed that the piston wetting decreases as the number of injections increases because less amount of fuel is injected when piston is closer to the injector. Lastly, the late evaporation of heavy gasoline components from fuel-film appears to be a significant contributor to soot precursors formation.

Evaporation and combustion characteristics for a droplet of lubricating oil and gasoline

The droplet suspension technology is used to study the effects of ambient temperatures (from 673 to 873 K) and gasoline blending ratios (from 0% to 20%) on evaporation and combustion characteristics of lubricating oil (LO), used lubricating oil (ULO) and the mixture of lubricating oil and gasoline (LO/gasoline and ULO/gasoline). The experimental results show that the evaporation process of LO80G20 (the blend of 80% LO and 20% gasoline by volume fraction) contains a transient heating period, a fluctuation evaporation period and a slow evaporation period at 673 K. The combustion process at high temperatures (from 723 to 873 K) includes an auto-ignition delay period, a combustion period and an extinction period. At the same ambient temperature, both the auto-ignition delay and lifetime of ULO are shorter than those of new LO. The occurrence time and intensity of puffing for ULO are earlier and stronger than those of new LO. For the mixture of lubricating oil and gasoline (LO/gasoline and ULO/gasoline), the auto-ignition delay, droplet lifetime and the occurrence time of puffing decrease with the increase of gasoline component.

Upgrading Octane Number of Naphtha by a Robust and Easily Attainable Metal-Organic Framework through Selective Molecular Sieving of Alkane Isomers.

The separation of alkanes, particularly monobranched and dibranched isomers, is of paramount importance in the petrochemical industry for optimizing the feedstock of ethylene production as well as for upgrading the octane number of gasoline. Here, we report the full separation of linear/monobranched alkanes from their dibranched isomers by a robust and easily scalable metal-organic framework material, Co3 (HCOO)6 . The compound completely excludes dibranched alkanes but adsorbs their linear and monobranched isomers, as evidenced by single-component and multicomponent adsorption measurements. More importantly, the material exhibits excellent performance in separating naphtha and is capable of providing high quality feedstock for the production of ethylene and gasoline components with high octane number, making it a promising candidate for naphtha separation in petrochemical industry.

A comprehensive combustion chemistry study of n-propylcyclohexane

Alkylated cycloalkanes are vital components in gasoline, aviation, and diesel fuels; however, their combustion chemistry has been less investigated compared to other hydrocarbon classes. In this work, the combustion kinetics of n-propylcyclohexane (n-Pch) was studied across a range of experiments including pressurized flow reactor (PFR), jet stirred reactor (JSR), shock tube (ST), and rapid compression machine (RCM). These experiments cover a wide range of conditions spanning low to intermediate to high temperatures, low to high pressures at lean to rich equivalence ratios. Stable intermediate species were measured in PFR over a temperature range of 550–850 K, pressure of 8.0 bar, equivalence ratio (φ) of 0.27, and constant residence time of 120 ms. The JSR was utilized to measure the speciation during oxidation of n-Pch at φ of 0.5–2.0, at atmospheric pressure, and across temperature range of 550–800 K. Ignition delay times (IDTs) for n-Pch were measured in the RCM and ST at temperatures ranging from 650 to 1200 K, at pressures of 20 and 40 bar, at φ=0.5,1.0. In addition, a comprehensive detailed chemical kinetic model was developed and validated against the measured experimental data. The new kinetic model, coupled with the breadth of data from various experiments, provides an improved understanding of n-Pch combustion.

Fuel Phononic Crystal Sensor for the Determination and Discrimination of Gasoline Components

In this work, we have introduced theoretically a novel design of a 1D phononic crystal model acting as a sensor for gasoline components (blends). The proposed sensor is prepared to distinguish between different components of gasoline with high performance. The sensor is designed from a defect layer filled with one of the gasoline blends in the middle of a 1D multilayer phononic crystal configured as, [(lead / epoxy)2 gasoline [(lead / epoxy)2]. The numerical investigations are obtained based on the transfer matrix method and the acoustic properties of the constituent materials. The numerical results showed that our sensing tool can distinguish between different gasoline blends with high selectivity and sensitivity at the same time. In addition, the monitoring of these blends could be obtained. The proposed sensor provides high sensitivity and quality factor that can reach 2.97 × 107 Hz and 5034, respectively.

Coalescence-adsorption coupling treatment instead of alkaline washing-water washing process for efficient removal of sulfuric acid and sulfates

C4 alkylate oil is an ideal blending component of automotive gasoline, and the green removal of sulfuric acid and sulfates from the high-temperature sulfuric acid alkylation reaction products (SAARP) has always been a hot issue in the field of clean alkylation production. In this paper, a novel coalescence separation-depth adsorption (CS-DA) coupling dry separation technique is introduced to efficiently separate acid-hydrocarbon emulsions, with the aim to supersede the alkaline washing-water washing (AW-WW) process in alkylation unit. Lateral line tests were conducted on the coupling treatment of the alkylation reaction products (ARP) produced in the STRATCO alkylation unit of Sinopec Tianjin Branch. The sulfur morphology analysis shows that the sulfides in the ARP mainly come from C4 feedstocks and alkylation reaction, including mercaptans, thioethers, thiophenes, trace hydrogen sulfide and sulfur dioxide. The mechanism of coalescence separation reveals that the efficient removal process of sulfuric acid by fiber coalescence separation also has a function similar to "pickling extraction" to remove sulfates. In addition, we investigated the influence of CS-DA coupling treatment on the total sulfur and sulfuric acid content in the ARP and performed the copper corrosion and water-soluble acid assays. The research findings indicated that the back sideline of the acid coalescer had the most outstanding separation effect relative to the front and rear lateral lines of the heat exchanger. The total sulfur content in the ARP after separation can be reduced to less than 5 mg/L, without water-soluble acid and copper corrosion (1a). The industrial application shows that the CS-DA coupling dry separation technique can completely replace the AW-WW process, which makes the various indicators of alkylate oil strictly controlled and the sulfur content up to the industrial standard. The novel dry separation technique provides a promising alternative for solving the difficulties in the emulsion treatment of high-temperature sulfuric acid alkylation and promoting the clean production of alkylation.

Prediction of Gasoline Blend Ignition Characteristics Using Machine Learning Models

Research Octane Number (RON), among other autoignition related properties, is a primary indicator of the grade of spark-ignition (SI) fuels. However, in many cases, the blending of various gasoline components affects the RON of the final fuel product in a nonlinear way. Currently, the lack of precise predictive models for RON challenges the accurate blending and production of commercial SI fuels. This study compares popular Machine Learning (ML) algorithms and evaluates their potential to develop state-of-the-art models able to predict key SI fuel properties. Typical gasoline composition was simplified and represented by a palette of seven characteristic molecules, including five hydrocarbons and two oxygenated species. Ordinary Least Squares (OLS), Nearest Neighbors (NN), Support Vector Machines (SVM), Decision Trees (DT), and Random Forest (RF) algorithms were trained, cross-validated, and tested using a database containing 243 gasoline-like fuel blends with known RON. Best results were obtained with nonlinear SVM algorithms able to reproduce synergistic and antagonistic molecular interactions. The Mean Absolute Error (MAE) on the test set was equal to 0.9, and the estimator maintained its accuracy when alterations were performed on the training data set. Linear methods performed better using molar compositions while predictions on a volumetric basis required nonlinear algorithms for satisfactory accuracy. Developed models allow one to quantify the nonlinear blending behavior of different hydrocarbons and oxygenates accounting for those effects during fuel blending and production. Moreover, these models contribute to a deeper understanding of the phenomena that will facilitate the introduction of alternative gasoline recipes and components.

DETERMINATION OF QUANTITATIVE CONTENT OF CHARGE STOCKS IN GASOLINE AND DIESEL FUEL BINARY MIXTURE

An approach to establishing quantitative indicators of the composition of gasoline and diesel fuel mixtures with determination of the content of charge stocks is presented. Correctness indicator of the method, as a measure of deviation from a true value, was 6.5% volume while studying the model sample. As an auxiliary method for qualitative determination of gasoline or diesel fuel, the method of fractional distillation (distillation) at atmospheric pressure was used.
 Determination of the fractional composition of the mixtures was carried out under normal conditions for charge stocks as well as their mixtures with a concentration range of predominantly 10% volume. Research has shown a significant increase in the final boiling point temperature with availability of even a small amount of diesel fuel in gasoline as well as decrease in the initial boiling point when adding gasoline to diesel fuel.
 The study by gas-liquid chromatography method made it possible to establish an approximate boundary of gasoline components redistribution: diesel fuel mixtures when their proportions are changed. It was noted that the main redistribution of components occurs before and after adding n-Nonane which content in gasolines and diesel fuels is relatively small. Using the ratio of the sum of point areas eluting before n-Decane (without n-Nonane) and after n-Decane (including n-Nonane), considering unidentified ones, as the distribution coefficient of the source k components , it was possible to establish proportions of source components.
 The k coefficient dependence on the content of diesel fuel is nonlinear. Transition to linear relationship in the coordinates of the linear logarithm of the k coefficient and the content of diesel fuel showed the presence of strong negative correlation with the values of the coefficient of reliability of approximation from -0.982 to -0.997 for model mixtures. The practical application of the k coefficient to determine the content of gasoline and diesel fuel can be recommended when constructing narrow calibration dependences in the range from 20 to 40% (vol.) of the target component.

Unraveling the octane response of gasoline/ethanol blends: Paving the way to formulating gasoline surrogates

Ethanol is widely used as a gasoline octane booster, and yet, its blending response is not fully understood. Blending ethanol with gasoline most often leads to a synergistic effect (higher than expected relative to linear blending), but can also lead to a linear or antagonistic blending (lower than expected relative to linear blending). To address the knowledges gap in ethanol blending, this study provides new research octane number (RON) and motor octane number (MON) measurements of ethanol blended with various gasoline surrogates. The first set of blends are ternary mixtures, designed to study the interactions between primary reference fuels (PRFs) and certain gasoline components when blended with ethanol. These gasoline components are 1-hexene, 1,2,4-trimethylbenzene and cyclopentane, which, represents the olefin, aromatic and naphthenes classes in commercial gasoline fuels, respectively. The second set represents multicomponent surrogates for Fuels for Advanced Combustion Engines (FACE) gasolines, developed in our previous work (Badra et al., Applied Energy 2017 p. 778-793). This study developes an octane blending model of ethanol/gasoline surrogates that utilize the new measurements along with datasets available in literature. The model consists of the conventional linear by ethanol molar fraction correlation, with the addition of non-linearity terms that depend on base fuel properties, namely, the octane sensitivity and the mole fraction of gasoline components. The model can predict the octane numbers (RON and MON) of blends containing gasoline surrogates composed of n-heptane, n-pentane, iso-octane, iso-pentane, toluene, 124-trimethylbenzene, cyclopentane, cyclohexane (for RON only) and 1-hexene. To ensure the generality of the developed model and avoid over-fitting, the model is trained using 85% of the available dataset while the remaining measurements have been used to test the model. The proposed model outperforms many ethanol blending models available in literature with 87% of the RON and 83% of the MON measurements being within the reproducibility limits. This model can be integrated to the process of designing gasoline surrogates that contain ethanol.

Profitability Using Second-Generation Bioethanol in Gasoline Produced in Mexico

Gasoline produced in Mexico by the productive company of the state Petróleos Mexicanos (PEMEX) mainly uses oil-derived ethers as oxygenators to reach the Mexican Regulatory ‘Framework’s octane number. An alternative to complying with these regulations could be to use bioethanol as an oxygenate. However, as a gasoline component, this could affect ‘Mexico’s food markets since sugar cane, and grains are the primary inputs for local production. The main objective of this study is to evaluate whether the use of bioethanol, produced from corn stubble, as an additive in gasoline produced by Petróleos Mexicanos (PEMEX) is profitable in Mexico, from the perspective of the evaluation of the supply chain and the finances. The purpose of this work is to contribute to the definition of the advantages and limitations for the existence of a second-generation bioethanol market produced from Lignocellulosic corn biomass and integrated into the gasoline market of national production in Mexico. The work starts with theoretical research to define the use of corn stubble as raw material, set up on its availability and feasibility determined based on a geographic information system (GIS), through the use of the agricultural production forecast approach, as well as the integration of costs and financial analysis. The results show that corn stubble bioethanol production is technically viable, but the production cost is not competitive yet. Although its price is not yet competitive compared to the imported price, using a fiscal incentive scheme and considering the decrease in energy dependence, it would be feasible to produce it in Mexico.

Effects of short chain aromatics in gasoline on GDI engine combustion and emissions

Aromatics are parts of the main components in gasoline which play important roles in affecting engine performances. Short carbon chain aromatics (C8/C8-) takes more part of aromatics in gasoline. In this paper, the effects of toluene, ortho-xylene and ethylbenzene on engine combustion, emission and thermal efficiency are experimentally investigated. Gasoline and three quinary gasoline model fuels containing each of these three aromatics, with diisobutylene, cyclohexane, isooctane, n-heptane being the other four components, are used to support this research. Results show that all the aromatics favor engine combustion and particulate emission while aggravate THC and CO emissions. Toluene, ethylbenzene and ortho-xylene do not obviously affect NOx emission under lower engine speed. However, ethylbenzene and ortho-xylene elevate engine NOx emission much more than toluene does under higher engine speed conditions. Alkenes and alkanes take the vast majority of VOC emission, followed by aromatics and aldehydes. Yet, alkenes take the most responsibility on OFP followed by aldehyde, and then aromatics, alkanes. Ethylene is the major composition of alkenes while formaldehyde contributes the most to aldehydes emission. In compare, toluene would propel alkenes and aldehydes in VOC emissions more than ethylbenzene and ortho-xylene do, however, it greatly alleviates particulate emission. Toluene tends to improve thermal efficiency under low engine speed conditions while ortho-xylene and ethylbenzene improve it under higher engine speed conditions. Results from this paper indicates that short chain aromatics affect engine combustion and emission a lot. So, varying short chain aromatics in gasoline fuel is of great importance in adjusting fuel properties.

Method development for determination of organic fluorine in gasoline and its components using high-resolution continuum source flame molecular absorption spectrometry with gallium fluoride as a target molecule

High-resolution continuum source molecular absorption spectrometry (HR-CS MAS) has been developing fast for fluorine determination, but neither flame nor graphite furnace technique have ever been applied for the analysis of petroleum or its products. Hydrogen fluoride can be applied in technologies of gasoline components production, unfortunately, arising organic fluorides can contaminate final product. The aim of this work was development of fast and simple HR-CS MAS method, with an ordinary air-acetylene flame, for determination of organic F in gasoline and its components. Gallium fluoride as a target molecule was the imposing choice, because Ga undergoes atomization at relatively low temperature, and the GaF molecule is known to provide good sensitivity in F determination. Severe difficulties have arisen to get higher concentration of gallium (as Ga(III)acetylacetonate) in the measured (xylene) solution. Furthermore, depending on the flame character, the spectrum of the GaF molecule at the most sensitive 211.248 nm rotational “line”could have been disturbed by intensive noise (a case of too rich flame) or overlapped by the OH molecule spectrum (a case of too lean flame). The effects, as well as sensitivity of F determination, depended on the sample volatility and its dilution ratio. The difficulties have been overcome by adjusting the solution aspiration rate and the additional air flow rate to get not-disturbed baseline. The least square background correction (LSBC) with the OH molecule spectrum as the correction spectrum (the OH molecule spectrum intentionally generated for the first time) and the standard addition calibration have been also applied. Huge difference in sensitivity, up to one order of magnitude, depending on the F compound volatility and its chemical character was stated. A standard giving the best sensitivity (heptafluorobutanol) turned out to be the most suitable for calibration in analysis of real samples (satisfactory agreement with results of combustion ion chromatography). It was found that HF introduced into the solution of the investigated sample does not contribute to the increase of F signal. Using 5000 mg L−1 of Ga in a solution, the best characteristic concentration and detection limit are 3.2 mg L−1 and 0.93 mg L−1, respectively. The developed method enabled to identify high contamination of some gasoline components with organic F species, which constituted significant corrosion and environmental threat.

Evaluating the effects of olefin components in gasoline on GDI engine combustion and emissions

Olefins are part of the most important components in gasoline fuel. In this paper, olefin component diisobutylene (DIB), 1-pentene and 1-hexene are involved into research. Three quinary gasoline model fuels containing each of these three olefins are used to support this research. Results prove these three olefins exhibit comparable effects on engine combustion and regulated emissions. However, their differences in affecting VOC and particulate matter emissions are of great significance. DIB leads to higher ethane emission while 1-hexene results in remarkably lower acetylene emission. 1-pentene generally leads to lower formaldehyde and acetaldehyde emissions. Nevertheless, these three olefins lead to comparable total VOC emissions. Further analyses show that alkane, olefin and aromatics take the most part of VOCs while olefin in emission take the most responsibility of ozone formation potential. Although 1-pentene in gasoline does not lead to the lowest VOC emissions, it results in the lowest OFP value when compared with DIB and 1-hexene. Such a finding signifies that gasoline with more 1-pentene content help to alleviate emission photochemical effect when compared with olefin content DIB or 1-hexene, which hints that gasoline with C5 olefin might be favorable than C6 olefin content when OFP of engine VOC emission is considered.

FORENSIC INVESTIGATION OF PETROLEUM COMPONENTS OF MIXED MOTOR GASOLINES

The main types of petroleum components that are used in the manufacture of mixed motor gasolines are considered. For the manufacture of mixed motor gasolines, a low-octane base is used, to which high-octane components are added. In many cases, reformate (catalytic reforming gasoline) and isopentane (isopentane fraction) are used as high-octane components of mixed motor gasolines. Straight-run gasoline and stable gasoline are often used as the low-octane gasoline base of blended automobile gasolines. Reformate is a liquid mixture of aromatic and saturated hydrocarbons used as a high-octane component of automobile (aviation) gasolines and raw materials in the production of aromatic hydrocarbons (arenas). The reformate is obtained by catalytic reforming of straight-run gasoline fractions. Isopentane (2-methylbutane (CH3)2CHCH2CH3) is a colorless, flammable liquid. The technical product is a mixture of isomeric pentanes and boils within 24 - 34°C. The isopentane fraction can be isolated from gas gasoline, from gasoline direct distillation of oil and gasoline catalytic cracking. Straight-run gasoline (nefras) is obtained from the processing of crude oil or gas condensate, oil shale or coal, natural gas or oil and gas. Straight run gasoline contains light gasoline fractions of direct distillation of oil with a boiling range of 35 - 180°C. Gas gasoline (gas stable gasoline) is obtained from natural and petroleum gases containing vapors of gasoline hydrocarbons. To separate them, the gases are compressed and cooled (compression method) or absorbed with oil or activated carbon. Gas gasoline is similar in chemical composition to straight-run gasoline, but contains lighter hydrocarbon fractions. The article discusses the results of a study of the listed petroleum components of mixed gasoline by gas-liquid chromatography. This method allows you to establish the qualitative and quantitative composition of mixed motor gasolines and their components. It is shown that from readily available petroleum components (isopentane fraction, aromatic hydrocarbons and gas stable gasoline) without the use of sophisticated technological equipment, a gasoline mixture with high detonation resistance, which is falsified automobile gasoline, can be obtained by mixing method. When mixed in certain proportions of reformate, isopentane fraction and gas stable gasoline, it is possible to obtain marketable gasoline that will meet the requirements of regulatory documents for gasoline. The considered technology allows, when mixing commodity gasolines A-92 (A-95) with reformate, isopentane fraction and gasoline gas stable in the calculated proportions, to improve the operational characteristics (detonation resistance) of the obtained gasoline mixture or to increase the volume of the obtained gasoline mixture without improving its performance.

Новые методы атомно-абсорбционного определения содержания металлов в авиационном и автомобильном бензинах

New methods for direct atomic absorption determination of lead and lithium as antiknock additives components in aviation and automotive gasoline in the concentration ranges 100–1700 (Pb) and 2.5/0.25–100 (Li) mg/L have been developed. To overcome the difference in analytical signals for samples and standard solutions due to concentration values and matrix effects the proper sample dilution and the addition of the blank as pure reagent hydrocarbons mixture in the solutions have been offered. The methods have high precision, are simple and may be recommended for gasoline quality control and identification procedures.

МОДЕЛЬ QSPR ДЛЯ ПРОГНОЗА ОКТАНОВЫХ ЧИСЕЛ УГЛЕВОДОРОДОВ РЯДА АЛКЕНОВ ПО ТОПОЛОГИЧЕСКИМ ХАРАКТЕРИСТИКАМ МОЛЕКУЛ

Relevance Modeling, optimization and design of processes in the technology of oil refining and organic synthesis, as well as the use of new chemical and technological processes involv ing hydrocarbon systems with the calculation of physical and chemical properties (РCS) of liquids and gases. The accuracy of calculations plays an observed role in the calculations of oil refining and organic synthesis processes, as well as approximate reactor processes, fractionation and heat exchange equipment. Despite the availability of РCS databases, the search for adequate initial data takes a long time at the stage of the entire development or design process, since the РCS of many hydrocarbons remains unknown. Aim of research To develop a quantitative Structure-Property Ratio (QSPR) model for octane hydrocarbons of a series of alkenes. Research methods To predict the octane numbers of normal and substituted alkenes — components of catalytic cracking, a nonlinear multivariate regression model Quantitative Structure-Property Relationship (QSPR) is proposed. The objects of the study were 30 hydrocarbons of a number of alkenes, selection in the basic and test samples, made randomly using computer data of physical and chemical properties. The model associates a set of descriptors with the octane numbers — the topological characteristics of their molecular graphs: the Wiener index, the Randich index and the magnitude of the quadratic dependence of bone structure, which affect the octane numbers and reflect the main structural and chemical factors, such as the length and branching of the carbon skeleton, and sensitive parameters. molecules. Results The adequacy of the models was confirmed by statistical data processing, so the coefficient of determining the models is 0.856. For the quality characteristics of the QSPR model, the multiple correlation coefficient r = 0.925 was calculated, which suggested a force relationship between the proposed topological characteristics of hydrocarbon molecules and their octane numbers. To assess the statistical stability of the model, a correlation correction was used. The maximum absolute and relative errors for octane number sampling tests are 4.0 units and 4.1 %, respectively. The statistical calculation, which makes it possible to judge the adequacy of the predicted indicators, their compliance with the reference data, is the standard regression error of 6.5 units. The small value of the standard error of the regression in comparison with the values of the dependence of the applicable adequacy of the proposed model. The model adequately uses the octane numbers of linear and branched alkenes and can be used to predict the octane numbers of gasoline components.

Превращение прямогонной бензиновой фракции и газоконденсата на биметаллических ка-тализаторах на основе цеолита ZSM-5

Acidic and catalytic properties of bimetallic catalysts based on ZSM-5 zeolite modified with copper, cobalt and boron in the conversion of straight-run gasoline fraction of gas condensate were studied in a flow-through unit at atmospheric pressure, in the absence of hydrogen in the temperature range 350-4300C. It has been established that the introduction of modifiers (Cu, Co, B) into the zeolite leads to a sig-nificant decrease in the strength and concentration of acid sites. An increase in the copper concen-tration in the zeolite to 3.0 wt.% leads to a decrease in the concentration of strong acid sites from 542 to 332 mmol/g. The introduction of 2% Cu/HZSM-5 into the catalyst composition of the second modifier Co in an amount of up to 1.5 wt.% reduces the concentration of strong acid sites to 242 mmol/g. With the additional modification of the bimetallic catalyst 1.0% Co 2% Cu/HZSM-5 with boron in an amount of 0.5-1.5 wt.%, the concentration of strong acid sites further decreases to 112-198 mmol/g. On unmodified zeolite HZSM-5, which has strong acid sites, cracking and aromatization of hydro-carbons mainly take place. Isomerization of n-paraffin hydrocarbons that make up the gas conden-sate is not significant. As a result of the modification of HZSM-5 with copper in the amount of 1.0-3.0 wt. %.There is a significant increase in the catalyzate content of high-octane components: iso-paraffinic and aromatic hydrocarbons. Modification of the catalyst with 2% Cu/HZSM-5 Co in an amount of 0.5-1.0 wt.% increases its isomerizing activity, and additional modification with boron (0.5-1.5 wt.%) leads to an increase in the yield of liquid products. The relationship between the acid-ic and catalytic properties of modified catalysts has been established. The effect of increasing the isomerizing and aromatizing activity of the modified catalysts is associated with the nature, concen-tration of the modifier, and the ratio of weak and strong acid sites. The isomerizing and aromatizing activity of the catalyst is controlled by the nature and concentration of the modifier. The bimetallic catalyst 1.0% Co 2.0 Cu% 1.0% B/HZSМ-5 exhibits the highest activity in upgrading straight-run gasoline fraction of gas condensate, which makes it possible to obtain a gasoline component with an octane number of 86.5 according to IM at 3800C and a yield of 77.8 wt.%.

Production of Gasoline Components from Biomass Catalytic Hydropyrolysis Using Zeolite-Based Bifunctional Catalysts

Production of Gasoline Components from Biomass Catalytic Hydropyrolysis Using Zeolite-Based Bifunctional Catalysts

Octane Number Prediction of Blend Gasoline Based on Improved Particle Swarm Optimization

The octane number of hydrogenated gasoline is difficult to be obtained in real time in the modeling of finished gasoline blending formula. Considering the problems of XGBOOST algorithm, gradient lifting tree algorithm and random forest regression algorithm network, a dynamic harmonious search hybrid particle swarm optimization (DSHPHO) algorithm was proposed to predict the octane number of finished gasoline. In this algorithm, the improved HS algorithm is embedded into the PSO algorithm, and all the particles are considered as harmonious memory (HM). Search by harmony search (HS) algorithm of randomness and evolution mechanism to improve the diversity of particle swarm, makes more ergodic particle swarm at the beginning of the search, reduce sensitivity to the initial value of the algorithm and keep randomly generated in the whole evolution process of the possibility of new particles, fundamentally solves the particle swarm optimization algorithm in dimension increase diversity is less defects. The algorithm has faster convergence speed and better global search ability. Finally, based on this method and industrial historical data, the octane number prediction model of hydrogenated gasoline components is established. The simulation results show that the dynamic harmonious search hybrid particle swarm optimization algorithm has better prediction performance than the traditional particle swarm optimization algorithm, and can be used to predict the octane number.

Measurements of critical properties of ethyl propionate with the gasoline components

Ethyl propionate is a good choice as additive to improve the combustion performance of gasoline. In this work, the critical temperature (Tc) and critical temperature (pc) of five binary systems (ethyl propionate + n-hexane, ethyl propionate + n-heptane, ethyl propionate + n-octane, ethyl propionate + n-propanol, ethyl propionate + n-butanol) and one ternary system (ethyl propionate + n-hexane + n-propanol) were measured. The results show that the addition of ethyl propionate increases the Tc of n-hexane, n-propanol and n-heptane while decreases the Tc of n-octane and n-butanol. The binary system of ethyl propionate and n-heptane and the ternary system of ethyl propionate + n-hexane + n-propanol are positive azeotropes. The pc of all studied systems changes linearly with the concentration of ethyl propionate. The applicability of Redlich–Kister equations, Cibulka equations and Singh-Sharma equations were checked.