A MINLP STRATEGY FOR THE DEBOTTLENECKING PROBLEM IN AN ETHANE EXTRACTION PLANT

Authors
DIAZ S SERRANI A DEBEISTEGUI R BRIGNOLE EA
Citation
S. Diaz et al., A MINLP STRATEGY FOR THE DEBOTTLENECKING PROBLEM IN AN ETHANE EXTRACTION PLANT, Computers & chemical engineering, 19, 1995, pp. 175-180
Citations number
9
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Chemical","Computer Science Interdisciplinary Applications
Journal title
Computers & chemical engineering → ACNP
ISSN journal
00981354
Volume
19
Year of publication
1995
Supplement
S
Pages
175 - 180
Database
ISI
SICI code
0098-1354(1995)19:<175:AMSFTD>2.0.ZU;2-K
Abstract
The extraction of ethane from natural gas is based on a turboexpansion process at cryogenic temperatures. Significant improvement can be ach ieved by introducing minor plant structural modifications. The presenc e of discrete decisions to account for different process configuration s leads to a Mixed Integer Nonlinear Programming (MINLP) optimization model. The program has been used to simultaneously determine the optim al configuration and operating conditions for different feed mixtures.