Integrated Operation and Cyclic Scheduling Optimization for an Ethylene Cracking Furnaces System
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Type
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Journal
Article
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Author
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Yangkun
Jin
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Author
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Jinlong
Li
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URL
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Volume
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54
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Issue
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15
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Pages
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3844-3854
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Publication
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Industrial
& Engineering Chemistry Research
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ISSN
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0888-5885
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Date
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April
22, 2015
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DOI
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Abstract
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Multiple
cracking furnaces in an ethylene plant run in parallel to produce ethylene,
propylene, and other products from various hydrocarbon feedstocks. Because
both coke formation in radiant coils and change of operating conditions with
time have significant effects on the performance of cracking furnaces, it is
best for cyclic scheduling to be simultaneously optimized with the operating
conditions.
Authors offer a mixed-integer dynamic optimization (MIDO) problem optimization of both operating conditions and cyclic scheduling simultaneously, through which the optimal assignment, the processing time, the subcycle number, and the optimal operation conditions of varying feeds in a variety of cracking furnaces are determined simultaneously. To solve the MIDO problem, it is discretized and converted into a large scale mixed-integer nonlinear programming (MINLP) problem. The two scheduling cases of a cracking furnaces system are illustrated showing a remarkable increase in the economic performance as compared with that of the conventional method. |
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