Arak Petrochemical Company

Arak, Iran

Arak Petrochemical Company

Arak, Iran
SEARCH FILTERS
Time filter
Source Type

Ramezani M.,Islamic Azad University of Arak | Davoodi A.,Islamic Azad University of Arak | Malekizad A.,Arak Petrochemical Company | Hosseinpour-Mashkani S.M.,Islamic Azad University of Arak
Journal of Materials Science: Materials in Electronics | Year: 2015

A novel modified sol–gel method was used in order to synthesize of Fe2TiO5 nanoparticles with aid of Fe(NO3)3·9H2O and Ti(OC3H7)4 as the starting reagents in the presence of ethanol as the solvent. To the best of author knowledge, it is first time that oxalic acid was used as a chilate agent in produce Fe2TiO5 nanoparticles. Besides, to examine the effect of different surfactants such as oleic acid, oleylamine, sodium dodecyl sulfate and cetyltrimethylammonium bromide on the particle size of final products several tests were performed. The as-synthesized Fe2TiO5 nanoparticle was utilized as photocatalyst for decolorisation of Rhodamine-B (RhB) and Methylen blue (MB) to investigate its light harvesting application. The photocatalyst results reveal that the maximum decolorization of 93 and 95 % for RhB and MB occurred with Fe2TiO5 nanoparticle catalyst in 40 min of reaction time under ultraviolet light irradiation, respectively. © 2015, Springer Science+Business Media New York.


"Ethanolamines are a multifunctional family of amino alcohols favored for a diverse range of applications. They are produced commercially by reacting ethylene oxide with ammonia. They are hygroscopic and miscible with water, most alcohols, and polyols. As alkalines, they react with acids to form esters or salts. Their versatile properties qualify them for industrial use as absorbents for gas treating; as emulsifiers in cleaning products; and as a corrosion inhibitor. In this report, ethanolamine contains monoethanolamine (MEA), diethanolamine (DEA) and triethanolamine (TEA)." Scope of the Report:  This report focuses on the Ethanolamine in Global Market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application. Market Segment by Regions, regional analysis covers  North America (USA, Canada and Mexico)  Europe (Germany, France, UK, Russia and Italy)  Asia-Pacific (China, Japan, Korea, India and Southeast Asia)  South America, Middle East and Africa Market Segment by Applications, can be divided into  Surfactant in personal care  Agrochemical production  Gas treatment  Construction  Wood Preservation Global Ethanolamine Market by Manufacturers, Regions, Type and Application, Forecast to 2021  1 Market Overview  1.1 Ethanolamine Introduction  1.2 Market Analysis by Type  1.2.1 Monoethanolamine (MEA)  1.2.2 Diethanolamine (DEA)  1.2.3 Triethanolamine (TEA)  1.3 Market Analysis by Applications  1.3.1 Surfactant in personal care  1.3.2 Agrochemical production  1.3.3 Gas treatment  1.4 Market Analysis by Regions  1.4.1 North America (USA, Canada and Mexico)  1.4.1.1 USA  1.4.1.2 Canada  1.4.1.3 Mexico  1.4.2 Europe (Germany, France, UK, Russia and Italy)  1.4.2.1 Germany  1.4.2.2 France  1.4.2.3 UK  1.4.2.4 Russia  1.4.2.5 Italy  1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia)  1.4.3.1 China  1.4.3.2 Japan  1.4.3.3 Korea  1.4.3.4 India  1.4.3.5 Southeast Asia  1.4.4 South America, Middle East and Africa  1.4.4.1 Brazil  1.4.4.2 Egypt  1.4.4.3 Saudi Arabia  1.4.4.4 South Africa  1.4.4.5 Nigeria  1.5 Market Dynamics  1.5.1 Market Opportunities  1.5.2 Market Risk  1.5.3 Market Driving Force 2 Manufacturers Profiles  2.1 DOW  2.1.1 Business Overview  2.1.2 Ethanolamine Type and Applications  2.1.2.1 Type 1  2.1.2.2 Type 2  2.1.3 DOW Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.2 BASF  2.2.1 Business Overview  2.2.2 Ethanolamine Type and Applications  2.2.2.1 Type 1  2.2.2.2 Type 2  2.2.3 BASF Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.3 Ineos Oxides  2.3.1 Business Overview  2.3.2 Ethanolamine Type and Applications  2.3.2.1 Type 1  2.3.2.2 Type 2  2.3.3 Ineos Oxides Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.4 Huntsman  2.4.1 Business Overview  2.4.2 Ethanolamine Type and Applications  2.4.2.1 Type 1  2.4.2.2 Type 2  2.4.3 Huntsman Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.5 Akzo Nobel  2.5.1 Business Overview  2.5.2 Ethanolamine Type and Applications  2.5.2.1 Type 1  2.5.2.2 Type 2  2.5.3 Akzo Nobel Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.6 Nippon Shokubai  2.6.1 Business Overview  2.6.2 Ethanolamine Type and Applications  2.6.2.1 Type 1  2.6.2.2 Type 2  2.6.3 Nippon Shokubai Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.7 Mitsui Chemicals  2.7.1 Business Overview  2.7.2 Ethanolamine Type and Applications  2.7.2.1 Type 1  2.7.2.2 Type 2  2.7.3 Mitsui Chemicals Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.8 KPX Green  2.8.1 Business Overview  2.8.2 Ethanolamine Type and Applications  2.8.2.1 Type 1  2.8.2.2 Type 2  2.8.3 KPX Green Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.9 Arak Petrochemical Company  2.9.1 Business Overview  2.9.2 Ethanolamine Type and Applications  2.9.2.1 Type 1  2.9.2.2 Type 2  2.9.3 Arak Petrochemical Company Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.10 OUCC  2.10.1 Business Overview  2.10.2 Ethanolamine Type and Applications  2.10.2.1 Type 1  2.10.2.2 Type 2  2.10.3 OUCC Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.11 Yinyan Specialty Chemicals?  2.11.1 Business Overview  2.11.2 Ethanolamine Type and Applications  2.11.2.1 Type 1  2.11.2.2 Type 2  2.11.3 Yinyan Specialty Chemicals? Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.12 Jiahua  2.12.1 Business Overview  2.12.2 Ethanolamine Type and Applications  2.12.2.1 Type 1  2.12.2.2 Type 2  2.12.3 Jiahua Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.13 Xian Lin Chemical  2.13.1 Business Overview  2.13.2 Ethanolamine Type and Applications  2.13.2.1 Type 1  2.13.2.2 Type 2  2.13.3 Xian Lin Chemical Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share  2.14 Maoming Petro?Chemical Shihua  2.14.1 Business Overview  2.14.2 Ethanolamine Type and Applications  2.14.2.1 Type 1  2.14.2.2 Type 2  2.14.3 Maoming Petro?Chemical Shihua Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share 2.15 JLZX Chemical  2.15.1 Business Overview  2.15.2 Ethanolamine Type and Applications  2.15.2.1 Type 1  2.15.2.2 Type 2  2.15.3 JLZX Chemical Ethanolamine Sales, Price, Revenue, Gross Margin and Market Share 3 Global Ethanolamine Market Competition, by Manufacturer  3.1 Global Ethanolamine Sales and Market Share by Manufacturer  3.2 Global Ethanolamine Revenue and Market Share by Manufacturer  3.3 Market Concentration Rate  3.3.1 Top 3 Ethanolamine Manufacturer Market Share  3.3.2 Top 6 Ethanolamine Manufacturer Market Share  3.4 Market Competition Trend 4 Global Ethanolamine Market Analysis by Regions  4.1 Global Ethanolamine Sales, Revenue and Market Share by Regions  4.1.1 Global Ethanolamine Sales by Regions (2011-2016)  4.1.2 Global Ethanolamine Revenue by Regions (2011-2016)  4.2 North America Ethanolamine Sales and Growth (2011-2016)  4.3 Europe Ethanolamine Sales and Growth (2011-2016)  4.4 Asia-Pacific Ethanolamine Sales and Growth (2011-2016)  4.5 South America Ethanolamine Sales and Growth (2011-2016)  4.6 Middle East and Africa Ethanolamine Sales and Growth (2011-2016) Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports understand how essential statistical surveying information is for your organization or association. Therefore, we have associated with the top publishers and research firms all specialized in specific domains, ensuring you will receive the most reliable and up to date research data available.


Moghadassi A.R.,Arak University | Amini N.,Arak University | Fadavi O.,Arak Petrochemical Company | Bahmani M.,Kharazmi University
Petroleum Science and Technology | Year: 2011

The authors investigated the kinetic modeling of heavy fraction hydrocracking based on the discrete lumping approach. For this kinetic model, the authors considered a parallel reaction scheme to describe the conversion of feed into products (gases, gasoline, and diesel) advanced by D. I. Orochko and I. Khimiya (1970). The different industrial data sets were analyzed statistically. Then product distribution and kinetic parameters were fine-tuned using available industrial data. An optimization code in Matlab software was written to fine-tune these parameters. The model ability in prediction of product distribution was tested for other industrial data, and the authors found good agreement between the model predictions and these data. © 2011 Copyright Taylor and Francis Group, LLC.


Asleshirin S.,Arak University | Bahmani M.,Kharazmi University | Fazlali A.,Arak University | Fadavi O.,Arak Petrochemical Company
Petroleum Science and Technology | Year: 2012

Actual hydrogen plant data consisting of temperatures and partial pressures of inlet and outlet gases of the reformer were collected over a five-year period. Subsequently a one-dimensional pseudohomogeneous reactor model comprising the Langmuir-Hinshelwood-Hougen-Watson reaction kinetic has been developed. Established intrinsic kinetic parameters from literature were used and the effect of intraparticle gradients was accounted for by incorporation of effectiveness factor. The validated model was used to predict the actual plant conversions and temperature profiles in the reformer tube. The steady-state one-dimensional pseudohomogeneous model was then extended to include the temporal variation of heat and mass transfer phenomena and then the dynamic response of the reformer under sudden disturbances in the feed conditions were studied. © 2012 Copyright Taylor and Francis Group, LLC.


Mahdaviani S.H.,Iran University of Science and Technology | Mahdaviani S.H.,Arak Petrochemical Company | Parvari M.,Iran University of Science and Technology | Soudbar D.,Arak Petrochemical Company
Korean Journal of Chemical Engineering | Year: 2016

A hybrid approach between the Taguchi method and grey relational analysis (GRA) with entropy measurement was applied to determine a single optimum setting for reaction factors of the proposed ethylene dimerization catalyst having overall selectivity to 1-butene (S1-btn (%)) and turnover frequency (TOF (h-1)) as multiple quality characteristics. Titanium tetrabutoxide (Ti(OC4H9)4) catalyst precursor in combination with triethyl aluminum (TEA) activator, 1,4-dioxane as a suitable modifier, and ethylene dichloride (EDC) as a novel promoter were used in the catalysis. Control factors of temperature, pressure, Al/Ti, 1,4-dioxane/Ti, and EDC/Ti mol ratios were investigated on three levels and their main effects were discussed. The effect of the binary interaction between temperature, pressure, and Al/Ti mol ratio was also examined. Weight of the responses was determined using entropy. Analysis of variance (ANOVA) for data obtained from GRA indicated that EDC/Ti mol ratio with 27.64% contribution had the most profound effect on the multiple quality characteristics. Development of the weighted Grey-Taguchi method used the Taguchi method as its basic structure, adopted GRA to deal with multiple responses, and entropy to enhance the reasonability of the comprehensive index produced by GRA to make the results more objective and accurate. Overall, these combined mathematical techniques improved catalytic performance for 1-butene production. © 2016, Korean Institute of Chemical Engineers, Seoul, Korea.


Mahdaviani S.H.,Iran University of Science and Technology | Mahdaviani S.H.,Arak Petrochemical Company | Soudbar D.,Arak Petrochemical Company | Parvari M.,Iran University of Science and Technology
World Academy of Science, Engineering and Technology | Year: 2011

In the present research, the titanium-catalyzed ethylene dimerization and more specifically, the concomitant byproducts and polymer formation have been studied in the presence of 2,5-dimethoxytetrahydrofuran as an electron donor compound in the combination with triethylaluminium (TEA) as activator. Then, we added ethylene chlorobromide as a new efficient promoter to the relevant catalyst system. Finally, the behavior of novel homogeneous [Titanium tetrabutoxide (Ti(OC 4H 9) 4/2,5-dimethoxytetrahydrofuran/ TEA/ethylene chlorobromide] was investigated in the various operating conditions for the optimum production of 1-butene. In the optimum conditions, a very high ethylene conversion (almost 90.77 %), a relative high selectivity to 1-butene (79.00%), yield of reaction equal to 71.70% and a significant productivity (turnover frequency equal to 1370 h -1) were achieved.


Mahdaviani S.H.,Iran University of Science and Technology | Mahdaviani S.H.,Arak Petrochemical Company | Parvari M.,Iran University of Science and Technology | Soudbar D.,Arak Petrochemical Company
Chemical Engineering Communications | Year: 2015

A five-factor four-level Taguchi L16 orthogonal design was used to determine optimized factors of the [titanium tetrabutoxide (Ti(OC4H9)4)–triethyl aluminum (TEA)] catalyst system with two additives: tetrahydropyran (THP) as an electron donor ligand and chloroethane (CE) as a halide promoter. Tests determined the effects of temperature, pressure, TEA/Ti, THP/Ti, and CE/Ti molar ratios on overall yield of reaction (YR(%)) and weight of polymer (WPE(mg)) and evaluations were investigated by signal to noise (S/N) ratios and their mean. Moreover, analysis of variance (ANOVA) determined that the THP/Ti molar ratio (with 33.42%) and the temperature (38.99%) had the highest contributions in YR and WPE, respectively, for the aforesaid newly introduced four-member system. The confirmation tests showed very good consistency between predicted and actual results. The results show that this previously untested method can efficiently increase YR and decrease WPE and better demonstrates the role of the catalyst. The results can be applied to improve 1-butene production on an industrial scale and minimize polymer fouling that could result in a reactor shutdown. © 2015, Copyright © Taylor & Francis Group, LLC.


Davarnejad R.,Arak University | Sahraei A.,Arak University | Sahraei A.,Arak Petrochemical Company
Desalination and Water Treatment | Year: 2016

The aim of this research was to remove the chemical oxygen demand (COD) and color from an industrial wastewater using electro-Fenton process. The effects of five important parameters including H2O2/Fe2+ molar ratio, current density, pH, H2O2/Petroleum refinery wastewater and reaction time on the process were carefully considered. The response surface methodology was applied to minimize the number of runs and investigate the optimum operating conditions. Forty-seven runs were carried out and the optimum conditions for COD and color removal were statistically obtained as 80.13% and 75.11% at H2O2/Fe2+ molar ratio of 4.2 for COD removal and 2.49 for color removal, current density was 60.89 mA for COD removal and 57.72 mA for color removal, pH was 3.32 for COD and 3.34 for color removal, H2O2/PRE was 0.05 for COD removal and 0.03 for color removal, and reaction time recorded as 62.05 min for COD removal and 63.04 min for color removal. © 2015 Balaban Desalination Publications. All rights reserved.


Nazari M.,Petroleum University of Technology of Iran | Behbahani R.M.,Petroleum University of Technology of Iran | Goshtasbi A.,Arak Petrochemical Company | Ghavipour M.,Petroleum University of Technology of Iran
Energy Sources, Part A: Recovery, Utilization and Environmental Effects | Year: 2015

In the present work, an optimization has been performed on the effective operating parameters of dimethyl ether production. Dehydration of methanol to dimethyl ether was investigated in an adiabatic fixed bed reactor using an acidic γ-alumina catalyst. A statistical experimental design method (an L9 orthogonal array Taguchi design) was applied to formulate the experimental layout and optimize the operating condition by considering temperature, pressure, and space velocity as the key parameters affecting the dimethyl ether yield. The experiments were conducted at the temperature range of 250-390°C under pressures of 1-3 atmosphere and WHSV of 15 to 45 gr.h-1 grcat. The effect of each parameter is studied on the selectivity and methanol conversion trends. The results indicated that temperature and space velocity were the most significant controlling factors in order of importance. The presence of interactions and influence of them on reaction progress were also studied. Based on the analysis results, pressure interacted considerably with space velocity. The experiments revealed that the optimal operating range was at temperatures of 290-350°C and space velocities of 15-30 gr.h-1 grcat, in which the maximum conversion was observed at a temperature of 310°C and WHSV of 15 h-1. Copyright © 2015 Taylor & Francis Group, LLC.


Nazari M.,Petroleum University of Technology of Iran | Behbahani R.M.,Petroleum University of Technology of Iran | Goshtasbi A.,Arak Petrochemical Company
Energy Sources, Part A: Recovery, Utilization and Environmental Effects | Year: 2014

The effects of three key parameters of feed temperature, pressure, and flow rate were investigated on the catalytic reaction of methanol dehydration to dimethyl ether in a large-scale fixed bed. A one-dimensional mathematical model was employed for development of the optimum design and evaluation of temperature and concentration profiles. The study of the temperature profiles considering the catalyst behavior revealed that a maximum conversion is obtained under the feed temperature range of 523 to 533 K and operating pressures range of 1 to 1.5 Mpa. The inlet temperature was found to be the most major factor controlling the yield and rate of reaction. Also, the Rate-Conversionerature chart was plotted to appraise and determine the optimal reactor volume at operating conditions. © Taylor & Francis.

Loading Arak Petrochemical Company collaborators
Loading Arak Petrochemical Company collaborators