## 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 con
On the costs of parameter uncertainties. Effects of parameter uncertainties during optimization and design of experiments
✍ Scribed by José Carlos Pinto
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 706 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0009-2509
No coin nor oath required. For personal study only.
✦ Synopsis
Mathematical models are of widespread usage for simulating process behavior, designing new processes and equipment and, in a more general sense, decision making. However, as model parameters are uncertain, due to model inaccuracies and experimental errors, all model results are subject to uncertainties. It is shown here that an economical value may be assigned to parameter uncertainties, which can then be used for both process optimization and specially for taking decisions during sequential experimental designs. (C) 1998 Elsevier Science Ltd. All rights reserved.
📜 SIMILAR VOLUMES
The strategy for optimal design of chemical processes involving parameter uncertainty is studied from the viewpoint of the statistical decision theory. A strategy which is more complicated but more suitable than those so far recommended by a few authors is proposed. It is also suggested that the des
A method for the compensation of parameter uncertainties in the design of process systems by optimal selection of design margins (safety factors) accordmg to Takamatsu is enlarged by considerations about the linearisability of the mathematical model, the selection of the signs of parameter deviation