Optimization-based assessment of design limitations to air separation plant agility in demand response scenarios

被引：59

作者：

Cao, Yanan ^{[1
]}

Swartz, Christopher L. E. ^{[1
]}

Baldea, Michael ^{[2
]}

Blouin, Stephane ^{[2
]}

机构：

[1] McMaster Univ, Dept Chem Engn, Hamilton, ON L8S 4L7, Canada

[2] Praxair Technol Ctr, Adv Control & Operat Res, Tonawanda, NY 14150 USA

来源：

JOURNAL OF PROCESS CONTROL | 2015年 / 33卷

关键词：

Cryogenic air separation; Optimization; Dynamic; Design; Agility; Demand response; MODEL-PREDICTIVE CONTROL; DYNAMIC OPTIMIZATION; STATE; SIMULATION; COLUMNS;

D O I：

10.1016/j.jprocont.2015.05.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The significant effect that the design of a plant can have on its dynamic performance has led to methodologies for systematic analysis of the interaction between design and control, and for inclusion of dynamic performance considerations in plant design. This article focuses on the assessment of design limitations to the agility of a nitrogen plant in response to demand and electricity price fluctuations. A two-tiered approach is proposed, where an economics-based optimization problem is first solved to determine the optimal steady-state operating point, after which a dynamic optimization problem is solved to minimize a measure of the transition time to the new operating point. Design limitations to the plant's responsiveness may be inferred by analysis of the active constraints. The approach is demonstrated on a comprehensive case study based on an existing industrial nitrogen plant. The design limitations of the existing plant configuration are identified, and the potential benefits of selected design modifications to demand response operation are assessed. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：37 / 48

页数：12

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