Dynamic Scheduling for Ethylene Cracking Furnace System

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• 作者：Chuanyu Zhao ; Chaowei Liu ; Qiang Xu
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2011
• 出版时间：November 2, 2011
• 年：2011
• 卷：50
• 期：21
• 页码：12026-12040
• 全文大小：1265K
• 年卷期：v.50,no.21(November 2, 2011)
• ISSN：1520-5045

文摘

The cracking furnace system is crucial for an olefin plant. Its operation needs to follow a predefined schedule to process various feeds continuously, meanwhile conducting a periodically decoking operation for each furnace when its performance apparently decreases. In practice, because the feed supply changes dynamically, the routine furnace scheduling is better performed in a dynamic and reactive way, through which the furnace operations can be smartly rescheduled with respect to any delivery of new coming feeds. Thus, the feeds from the new delivery and the leftover inventories can be timely, feasibly, and optimally allocated to different furnaces for processing to obtain the maximum average net profit per time. Facing this challenge, this paper develops a new MINLP-based reactive scheduling strategy, which can dynamically generate reschedules based on the new feed deliveries, the leftover feeds, and current furnace operating conditions. It simultaneously addresses all the major scheduling issues of a cracking furnace system, such as semicontinuous operation, nonsimultaneous decoking, secondary ethane cracking, and seamless rescheduling. The efficacy of the study and its significant economic potential are demonstrated by a comprehensive case study.