Plant-wide assessment of alternative activated sludge configurations for biological nutrient removal under uncertain influent characteristics

A Proof-of-Concept of a Reliability-Based Life-Cycle Cost Optimization Framework for Activated Sludge Processes

“…For example, reliability has been determined by leveraging influent and effluent data (i.e., without modeling the AS process), through statistical concepts like coefficients of variations and associated percentiles (Oliveira & Von Sperling, 2008), or using probabilistic approaches like fault tree analysis (Taheriyoun & Moradinejad, 2015). Meanwhile, Ramin et al (2022) conducted a reliability analysis to determine the compliance with effluent limits of several nutrient removal WWTPs (i.e., focused on nitrification/denitrification and enhanced biological phosphorus removal) for different plant layouts. Additionally, the previous authors conducted a global sensitivity analysis on the concentration of nutrients in the effluent and other key performance indicators but did not determine sensitivity indices on reliability metrics.…”

Prediction of Mass and Volumetric Flows in a Full-Scale Industrial Waste Treatment Plant

“…Second, a comprehensive global sensitivy analysis (GSA) should be carried out in order to study the influent of process parameters [52]. In such complex systems so highly parameterized, these types of analysis can really help to disentangle the interactions between the treatment units comprising the flow diagram [47]. Nevertheless, such study could be considered a new paper on its own.Yet, some degree of extrapolation could be made based on [55] and Solon et al, 2013 A calibrated model, able to predict volumetric and mass flows in a plant-wide fashion, can be useful to evaluate alternative process layouts and its impact in overall performance of the waste treatment system, economics, environmental impact, etc.…”