Sensitivity and uncertainty analysis of an integrated ASM2d MBR model for wastewater treatment

Gaspare Viviani, Alida Cosenza, Giorgio Mannina, Giorgio Mannina, George A. Ekama

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

An integrated membrane bioreactor (MBR) model was previously proposed and tested. The model provides a comprehensive and detailed description of the nitrogen biological removal processes with respect to up-to-date literature. This paper presents a sensitivity and uncertainty analysis aimed at identifying the key factors affecting the variability of the model predictions. The Standardized Regression Coefficients (SRC) method was adopted for the sensitivity analysis. The uncertainty analysis was employed by running Monte Carlo simulations by varying only the value of the key factors affecting the model outputs. The sensitivity analysis combined with the uncertainty analysis applied here enabled to gain useful insights about the robustness of the model. By means of the SRC method 45 model factors (of 122) were selected as important. The results obtained here allowed to investigate the advantage of a detailed description of the nitrogen transformation bioprocesses (nitrification/denitrification) in terms of model accuracy and uncertainty bandwidth. The model allows to simulate the intermediate product during nitrification/denitrification, thus providing the possibility to control the nitrogen compounds that favour the formation of nitrous oxide.
Original languageEnglish
Pages (from-to)579-588
Number of pages10
JournalChemical Engineering Journal
Volume351
Publication statusPublished - 2018

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Environmental Chemistry
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Sensitivity and uncertainty analysis of an integrated ASM2d MBR model for wastewater treatment'. Together they form a unique fingerprint.

  • Cite this