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On the costs of parameter uncertainties. Part 2: Impact of EVOP procedures on the optimization and design of experiments

✍ Scribed by José Carlos Pinto


Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
967 KB
Volume
79
Category
Article
ISSN
0008-4034

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✦ Synopsis


Abstract

Pinto (1998) showed that an economical value might be assigned to model parameter uncertainties, which could be used for process optimization and for taking decisions during sequential experimental designs. The procedure is extended to take into account the fact that plant operation conditions change with time, leading to improvements of the plant operation and allowing the partial recovering of losses introduced by uncertain parameters during plant design. It is shown that the use of EVOP (Evolutionary Operation Procedures) during plant operation may reduce the cost of parameter uncertainties, exerting a major impact on process optimization and optimal design of experiments.


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