E3S Web Conf.
Volume 288, 2021International Symposium “Sustainable Energy and Power Engineering 2021” (SUSE-2021)
|Number of page(s)||10|
|Published online||14 July 2021|
Improving the efficiency of technological units for the production of high-quality motor fuels using fuzzy mathematics methods
1 Department of Systems Analysis and Control, L.N.Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
2 Faculty of Information Technology, Atyrau Oil and Gas University, Atyrau, Kazakhstan
3 Department of Management, Kazakh University of Economics, Finance and International Trade, Nur-Sultan, Kazakhstan
* Corresponding author: firstname.lastname@example.org
This paper investigates the problems of increasing the efficiency of technological installations of oil refineries, which produce high-octane and environmentally friendly motor fuels. We used methods of mathematical modeling and fuzzy mathematics to maximize the volume of gasoline produced and improve its quality indicators, taking into account the imposed restrictions. On the basis of a systematic approach, an effective methodology is created for the development of a package of models of interconnected plant units using available information of a different nature, including fuzzy information. The resulting package of models makes it possible to systematically simulate the work of the unit under study and to increase the efficiency of the facility by increasing the volume of manufactured target products and improving its quality indicators. There are presented results of the analysis and expert assessment of the catalytic reforming unit LG-35-11/300-95 and the choice of the optimal type of model for individual units. A scheme is being created for combining the developed models into a single package of models. On the basis of the proposed methodology, hybrid models are being developed that make it possible to determine the volume of produced catalyzate and its quality indicators.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.