1991
DOI: 10.1061/(asce)0733-9372(1991)117:4(425)
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Robust Optimal Design for Wastewater Treatment. Part I: General Approach

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Cited by 10 publications
(4 citation statements)
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“…One of the most important problems with the use of models for the design of WWTPs (whether they are used in a trial-and-error fashion or in conjunction with an optimization framework) is the uncertainty in model inputs and parameters and influent values. To tackle this problem Uber et al (1991a) proposed a general robust optimal design procedure which is an extension of the traditional total cost optimization approach. They define robustness as the ability of the system to maintain a level of performance even if the actual parameter values are different from the assumed ones.…”
Section: Robust Optimal Designmentioning
confidence: 99%
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“…One of the most important problems with the use of models for the design of WWTPs (whether they are used in a trial-and-error fashion or in conjunction with an optimization framework) is the uncertainty in model inputs and parameters and influent values. To tackle this problem Uber et al (1991a) proposed a general robust optimal design procedure which is an extension of the traditional total cost optimization approach. They define robustness as the ability of the system to maintain a level of performance even if the actual parameter values are different from the assumed ones.…”
Section: Robust Optimal Designmentioning
confidence: 99%
“…Thus, a design is more robust if its performance is less sensitive to the variation of its inputs and model parameters. (Uber et al, 1991a). Meanwhile, it should be emphasized that the notion of system robustness presented by Uber et al (1991a) does not include the probabilistic concept of performance failure or the PONC (see 2.4 for details on PONC) with effluent standards as described below:…”
Section: Robust Optimal Designmentioning
confidence: 99%
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“…Dynamic modeling of wastewater treatment processes, including activated sludge reactors and secondary clarifiers, was reviewed.l'" Application of robust optimal design for wastewater treatment was reported. 170 The procedure identifies the sensitivity of plant performance to a variety of input parameters through nonlinear optimization and sensitivity analysis. A sample application of the technique was presented using 55 uncertain parameter values.'?'…”
Section: Wastewater Treatmentmentioning
confidence: 99%