Handling Uncertainty In The Development And Design Of Chemical Processes
- Topics:
- Product Development and Design
- Tags:
- Human Resources,
- Performance Management,
- Productivity,
- Uncertainty,
- University College London,
- Workforce Management
- Source:
- University College London
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Overview: The paper presents a stochastic methodology for handling uncertainty in process development as part of a general framework for batch and continuous process models. The method combines systematic modelling procedures with Hammersley sampling based uncertainty analysis and a range of sample-based sensitivity analysis techniques, used to quantify predicted performance uncertainty and identify key uncertainty contributions. The methodology was implemented on a batch reactor process and some clear recommendations as to how to reduce the uncertainty in the main output variables are obtained. The paper concludes with some discussion about an alternative approach to use instead error bars from experimental data as intervals and using interval methods to determine the best 'Worst-case' design.
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Format: PDF | Size: 215KB | Date: Sep 2004 | Pages: 16
