2002
DOI: 10.1021/ie0106783
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Optimal Temperature Control of a Propane Thermal Cracking Reactor

Abstract: In this paper, using a suitable model for propane thermal cracking and based on a cost function, the optimal temperature profile is obtained. To achieve the optimal temperature trajectory, the furnace is divided into several zones and proportional-integral-derivative controllers are used to control the temperature of each zone. According to temperature measurements available, two cases are considered. In the first case, it is assumed that the furnace wall temperatures at different points are measured along wit… Show more

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Cited by 31 publications
(35 citation statements)
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References 8 publications
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“…[7] Shahrokhi and Nejati carried out an optimal operation study based on one-dimensional (1D) plug flow steadystate model for propane thermal cracking. [8] Operating profit was used as objective function, and the optimal temperature profile was obtained. In formulating the above objective function, the time required for decoking was considered and the cost for decoking operations was expressed as a fraction of the production revenue.…”
Section: Literature Reviewmentioning
confidence: 99%
“…[7] Shahrokhi and Nejati carried out an optimal operation study based on one-dimensional (1D) plug flow steadystate model for propane thermal cracking. [8] Operating profit was used as objective function, and the optimal temperature profile was obtained. In formulating the above objective function, the time required for decoking was considered and the cost for decoking operations was expressed as a fraction of the production revenue.…”
Section: Literature Reviewmentioning
confidence: 99%
“…One-dimensional (1D) steady state and dynamics models were developed by Shahrokhi and Nejati for propane thermal cracking [9]. They investigated the optimal process of gas temperature profile based on the kinetic model of Sundaram and Froment [5], by considering both the ethylene and propylene production.…”
Section: Introductionmentioning
confidence: 99%
“…Apparently, the approach to obtain an optimum cell structure by setting up an experimental system is very costly and impracticable. Then, the mathematical modelling tool is the best choice to study the reactors . In the last decade, with the developments of computer, numerical simulation was applied for designing an aluminum reduction cell.…”
Section: Introductionmentioning
confidence: 99%