Multivariate risk analysis of an intensified modular hydroformylation process
| Autor: | Robert Franke, Gerhard Schembecker, Stefan Sievers, Marc Becker, F. Stenger, Christian Bramsiepe, Markus Priske, Bart Hamers, Johannes Martin Elischewski, Tim Seifert |
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| Rok vydání: | 2015 |
| Předmět: |
Risk analysis
Engineering business.industry Process Chemistry and Technology General Chemical Engineering Financial risk Scale (chemistry) Energy Engineering and Power Technology Process design General Chemistry Work in process Investment (macroeconomics) Industrial and Manufacturing Engineering Economies of scale Risk analysis (engineering) Risk assessment business |
| Zdroj: | Chemical Engineering and Processing: Process Intensification. 95:124-134 |
| ISSN: | 0255-2701 |
| Popis: | Reduction of investment risk is a major challenge in chemical process design. To minimize financial risks a paradigm shift is necessary. Therefore, risk analysis will have to gain importance already during process development. Only in this way can plant designs be identified that cover the expected demand uncertainty at optimal costs. Stepwise expansion is one option to reduce risks as investments can be spread over a certain time period. This allows waiting for more precise market information and adapting production output to changing market development. The drawback of this approach is the loss in economy of scale. Potentially higher investment costs have to be balanced against an achievable risk reduction which makes the integration of risk assessment in process design indispensable. Furthermore, equipment allowing for an efficient numbering up in plant expansion is needed. Here one of the most promising options is the application of intensified equipment. This work shows how process intensified equipment can be used to reduce the investment risk of a large scale hydroformylation plant. Two methods for risk quantification are applied. Both show that investment risk is reduced by numbering up unit operations and adapting their size. Influencing parameters are the cost structure and process boundaries. |
| Databáze: | OpenAIRE |
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