Economic optimization of a thermal cracker via model predictive control technology

Andreea R. Savu, Ionut Muntean, Gheorghe Lazea, Paul Serban Agachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

An ethylene plant is one of the largest chemical plants and ethylene is industrially obtained through thermal cracking of hydrocarbons. The cracking furnace is the heart of such an installation and the frequent changes in feed mix, quality and prices; and the demand for its olefin products are influencing directly the production efficiency. Each reactant in the feed produces a certain distribution of products and in order to satisfy the demand constraints at the lowest cost; one needs to optimize the amounts of each reactant.

Original languageEnglish
Title of host publication2011 19th Mediterranean Conference on Control and Automation, MED 2011
Pages819-824
Number of pages6
DOIs
Publication statusPublished - Sep 8 2011
Event2011 19th Mediterranean Conference on Control and Automation, MED 2011 - Corfu, Greece
Duration: Jun 20 2011Jun 23 2011

Other

Other2011 19th Mediterranean Conference on Control and Automation, MED 2011
CountryGreece
CityCorfu
Period6/20/116/23/11

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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    Savu, A. R., Muntean, I., Lazea, G., & Agachi, P. S. (2011). Economic optimization of a thermal cracker via model predictive control technology. In 2011 19th Mediterranean Conference on Control and Automation, MED 2011 (pp. 819-824). [5983153] https://doi.org/10.1109/MED.2011.5983153