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Preemptive dynamic operation of cryogenic air separation units
Author(s) -
Cao Yanan,
Swartz Christopher L.E.,
FloresCerrillo Jesus
Publication year - 2017
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15753
Subject(s) - process engineering , process (computing) , agile software development , supply chain , product (mathematics) , separation (statistics) , supply and demand , computer science , manufacturing engineering , industrial engineering , engineering , business , geometry , mathematics , software engineering , marketing , machine learning , economics , microeconomics , operating system
As markets become more competitive and dynamic, manufacturing plants are undergoing transitions toward flexible, agile, and low costs operations. Appropriate coordination within the supply chain is an important factor in manufacturing systems' performance. In this study, the impact of preemptive control action in advance of an upcoming demand change on the economic performance of a cryogenic air separation unit is investigated. The effects of various factors are explored through optimization formulations utilizing a high‐fidelity collocation based dynamic process model. This includes the amount of lead time, choice of manipulated inputs, direction of demand change, and liquid product market conditions. Plant performance is evaluated and analyzed through a comprehensive multipart case study. © 2017 American Institute of Chemical Engineers AIChE J , 63: 3845–3859, 2017