Evaluation of Process Uncertainty in Activated Sludge Treatment by Probabilistic Modeling
| Autor: | Ayanangshu Dey, Benjamin S. Magbanua |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Measure (data warehouse)
Engineering Mathematical optimization Environmental Engineering Safety factor Process (engineering) Stochastic modelling business.industry Probabilistic logic Context (language use) Econometrics Environmental Chemistry Frequency distribution business Activated sludge system General Environmental Science Civil and Structural Engineering |
| Zdroj: | Journal of Environmental Engineering. 138:1040-1047 |
| ISSN: | 1943-7870 0733-9372 |
| DOI: | 10.1061/(asce)ee.1943-7870.0000570 |
| Popis: | Simulation-based design and analysis of biotreatment systems depends to a great extent on the accuracy of the model parameters used. In many cases, site-specific parameter estimates are not available and parameter values recommended in the literature are adopted along with a measure of judgment to account for bioprocess uncertainty. To better quantify process certitude associated with this approach and thus provide guidance to process designers lacking site-specific parameter values, stochastic simulations were conducted and the empirical frequency distributions derived from the simulation results were interpreted in terms of process certitude. In general, the simulation results confirmed field experience and current practice in biotreatment from a probabilistic standpoint and provided context in terms of process certitude. The certitude of achieving specific treatment levels increased with sludge age, validating the application of a design safety factor on the minimum solids retention time. The i... |
| Databáze: | OpenAIRE |
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