Economic optimization of a thermal cracker via model predictive control technology

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

doi:10.1109/MED.2011.5983153

Economic optimization of a thermal cracker via model predictive control technology

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

Chemical, Materials & Metallurgical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2011 19th Mediterranean Conference on Control and Automation, MED 2011
Pages	819-824
Number of pages	6
DOIs	https://doi.org/10.1109/MED.2011.5983153
Publication status	Published - Sept 8 2011
Event	2011 19th Mediterranean Conference on Control and Automation, MED 2011 - Corfu, Greece Duration: Jun 20 2011 → Jun 23 2011

Other

Other	2011 19th Mediterranean Conference on Control and Automation, MED 2011
Country/Territory	Greece
City	Corfu
Period	6/20/11 → 6/23/11

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

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10.1109/MED.2011.5983153

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title = "Economic optimization of a thermal cracker via model predictive control technology",

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.",

author = "Savu, {Andreea R.} and Ionut Muntean and Gheorghe Lazea and Agachi, {Paul Serban}",

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AU - Muntean, Ionut

AU - Lazea, Gheorghe

AU - Agachi, Paul Serban

PY - 2011/9/8

Y1 - 2011/9/8

N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - 2011 19th Mediterranean Conference on Control and Automation, MED 2011

T2 - 2011 19th Mediterranean Conference on Control and Automation, MED 2011

Y2 - 20 June 2011 through 23 June 2011

ER -

Economic optimization of a thermal cracker via model predictive control technology

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