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Influence of Design Margin on Operation Optimization and Control Performance of Chemical Processes

Operation optimization is an effective method to explore potential economic benefits for existing plants. The m.aximum potential benefit from operationoptimization is determined by the distances between current operating point and process constraints, which is related to the margins of design variab...

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Published in:Chinese journal of chemical engineering 2014, Vol.22 (1), p.51-58
Main Author: 许锋 蒋慧蓉 王锐 罗雄麟
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cited_by cdi_FETCH-LOGICAL-c434t-cbbd1d249d00aeb0be5a2c8f943925fc27441407ad9b2caeec27c81c67add17d3
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creator 许锋 蒋慧蓉 王锐 罗雄麟
description Operation optimization is an effective method to explore potential economic benefits for existing plants. The m.aximum potential benefit from operationoptimization is determined by the distances between current operating point and process constraints, which is related to the margins of design variables. Because of various ciisturbances in chemical processes, some distances must be reserved for fluctuations of process variables and the optimum operating point is not on some process constraints. Thus the benefit of steady-state optimization can not be fully achied(ed while that of dynamic optimization can be really achieved. In this study, the steady-state optimizationand dynamic optimization are used, and the potential benefit-is divided into achievable benefit for profit and unachievable benefit for control. The fluid catalytic cracking unit (FCCU) is used for case study. With the analysis on how the margins of design variables influence the economic benefit and control performance, the bottlenecks of process design are found and appropriate control structure can be selected.
doi_str_mv 10.1016/S1004-9541(14)60010-0
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subjects bottleneck
Chemical engineering
control performance
Design engineering
design margin
Disturbances
Dynamic tests
Dynamics
Economics
Fluctuation
fluid catalytic cracking unit (FCCU)
operation optimization
Optimization
化工过程
控制性能
操作优化
流化催化裂化装置
稳态优化
经济利益
设计余量
设计变量
title Influence of Design Margin on Operation Optimization and Control Performance of Chemical Processes
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