DocumentCode :
577394
Title :
Raising the efficiency of higher alkanes dehydrogenation process
Author :
Ivashkina, Elena ; Romanovskiy, Rostislav ; Trusov, Alexey ; Frantsina, Evgeniya
Author_Institution :
Department of Fuel Engineering and Chemical Cybernetics, National Research Tomsk Polytechnic University
fYear :
2012
fDate :
18-21 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
Recent development of the consumer market is actively stimulating the advances in industry, including petrochemicals. Particularly, active development of the production of synthetic detergents and linear alkylbenzenes (LAB), demand growth of 6% per year. High demand for LAB (which is the raw material for different detergents) is caused primarily by the fact that the synthetic detergents made from these substances are characterized by the balance between the product´s environmental quality, washing power and the price. The biodegradability of detergent is directly connected to the composition of its surface-active part. This is why there is great need to increase the productivity of existing industrial plants for LAB, as well as to increase the depth of crude oil refining with reduced losses of heat and power at each stage of production. In this case improving the technological process is closely related to the quality of the equipment and the efficiency of the catalyst used. In the course of work the formalized reaction network of process was built, and the kinetic and mathematical models were developed. Kinetic and mathematical models were designed to implement in the computer modeling system, based on the formalized reaction network of process. A possible method of Pt-catalyst recovery has been offered for higher alkanes dehydrogenation process.
Keywords :
chemical engineering; crude oil; hydrogenation; mathematical analysis; petrochemicals; productivity; alkanes dehydrogenation process; biodegradability; computer modeling system; consumer market; crude oil refining; formalized reaction network; industrial plants; linear alkylbenzenes; mathematical model; petrochemicals; product environmental quality; productivity; synthetic detergents; washing power; Biological system modeling; Feeds; Heating; Inductors; Kinetic theory; Mathematical model; Production; LAB production monitoring; dehydrogenation; forecasting the catalyst´s operation; linear alkylbenzenes; mathematical simulation in oil refining; platinum dehydrogenation catalysts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Strategic Technology (IFOST), 2012 7th International Forum on
Conference_Location :
Tomsk
Print_ISBN :
978-1-4673-1772-6
Type :
conf
DOI :
10.1109/IFOST.2012.6357513
Filename :
6357513
Link To Document :
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