New Continuous-Time Scheduling Formulation for Continuous Plants under Variable Electricity Cost

被引:95
作者
Castro, Pedro M. [1 ,3 ]
Harjunkoski, Iiro [2 ]
Grossmann, Ignacio E. [3 ]
机构
[1] Inst Nacl Engn Tecnol & Inovacao, Dept Modelacao & Simulacao Proc, P-1649038 Lisbon, Portugal
[2] ABB Corp Res Ctr, D-68526 Ladenburg, Germany
[3] Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA
基金
美国安德鲁·梅隆基金会;
关键词
TASK NETWORK FORMULATION; BATCH PLANTS; DISCRETE; MODELS;
D O I
10.1021/ie900073k
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This work addresses the scheduling of continuous plants subject to energy constraints related to time-dependent electricity pricing and availability. Discrete- and continuous-time formulations are presented that can address these issues together with multiple intermediate due dates. Both formulations rely on the resource-task network process representation. Their computational performance is compared for the objective of total electricity minimization with the results favoring the discrete-time model due to the more natural way of handling Such a wide variety of discrete events. In particular, it can successfully handle problems of industrial size. Nevertheless, the new continuous-time model is a major breakthrough since it is the first model of its type that is able to effectively incorporate time-variable utility profiles. When compared to a simple manual scheduling procedure, the proposed scheduling approaches can lead to potential electricity savings around 20% by switching production from periods of high to low electricity cost.
引用
收藏
页码:6701 / 6714
页数:14
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