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An optimization approach for process engineering problems under uncertainty
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DOI：10.1016/0098-1354(95)00203-0.png)
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摘要
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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.
Keyword:
IMPROVING PROCESS FLEXIBILITY
OPTIMAL RETROFIT DESIGN
NONLINEAR-SYSTEMS
CHEMICAL-PLANTS
PARAMETERS
RECOURSE
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