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An optimization approach for process engineering problems under uncertainty

delete1996-06-01
delete64
PRE
AI
I
Ierapetritou, MG
J
J C Acevedo
E
E.N. Pistikopoulos
DOI：10.1016/0098-1354(95)00203-0delete
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Abstract

Abstract

En 中文
The problem of selecting an optimal design/plan for process model involving stochastic parameters is addressed in this paper. A classification of uncertainty is introduced depending on its sources and mathematical model structure. A combined multiperiod/stochastic optimization formulation is then proposed along with a decomposition-based algorithmic procedure for its solution. The approach is illustrated with a process synthesis/planning example problem.
Keywords:
IMPROVING PROCESS FLEXIBILITY
OPTIMAL RETROFIT DESIGN
NONLINEAR-SYSTEMS
CHEMICAL-PLANTS
PARAMETERS
RECOURSE
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Journal

C
Computers and Chemical Engineering
IF:
3.9
Papers:
8.1K
Citations:
1.7W

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