scholarly journals Monte Carlo uncertainty and sensitivity analysis of the CACM chemical mechanism

2003 ◽  
Vol 108 (D15) ◽  
Author(s):  
Marco A. Rodriguez
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Chemical Mechanism ◽  
Uncertainty And Sensitivity Analysis

scholarly journals Uncertainty and sensitivity analysis of control strategies using the benchmark simulation model No1 (BSM1)

2009 ◽  
Vol 59 (3) ◽  
pp. 491-499 ◽  
Author(s):  
Xavier Flores-Alsina ◽  
Ignasi Rodriguez-Roda ◽  
Gürkan Sin ◽  
Krist V. Gernaey
Keyword(s):  
Growth Rate ◽  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Carbon Source ◽  
Simulation Model ◽  
Correction Factor ◽  
Control Strategies ◽  
Hydrolysis Rate ◽  
External Carbon Source ◽  
Uncertainty And Sensitivity Analysis

The objective of this paper is to perform an uncertainty and sensitivity analysis of the predictions of the Benchmark Simulation Model (BSM) No. 1, when comparing four activated sludge control strategies. The Monte Carlo simulation technique is used to evaluate the uncertainty in the BSM1 predictions, considering the ASM1 bio-kinetic parameters and influent fractions as input uncertainties while the Effluent Quality Index (EQI) and the Operating Cost Index (OCI) are focused on as model outputs. The resulting Monte Carlo simulations are presented using descriptive statistics indicating the degree of uncertainty in the predicted EQI and OCI. Next, the Standard Regression Coefficients (SRC) method is used for sensitivity analysis to identify which input parameters influence the uncertainty in the EQI predictions the most. The results show that control strategies including an ammonium (SNH) controller reduce uncertainty in both overall pollution removal and effluent total Kjeldahl nitrogen. Also, control strategies with an external carbon source reduce the effluent nitrate (SNO) uncertainty increasing both their economical cost and variability as a trade-off. Finally, the maximum specific autotrophic growth rate (μA) causes most of the variance in the effluent for all the evaluated control strategies. The influence of denitrification related parameters, e.g. ηg (anoxic growth rate correction factor) and ηh (anoxic hydrolysis rate correction factor), becomes less important when a SNO controller manipulating an external carbon source addition is implemented.

scholarly journals Uncertainty and sensitivity analysis applied to a voltage series operational amplifier

2021 ◽  
Vol 21 (3) ◽  
pp. 1347
Author(s):  
Mohammad Nizam Ibrahim ◽  
Zainal Hisham Che Soh ◽  
Nor Shahanim Mohamad Hadis ◽  
Ali Othman
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Uncertainty Analysis ◽  
Operational Amplifier ◽  
Voltage Gain ◽  
Amplifier Circuit ◽  
Matlab Simulink ◽  
Uncertainty And Sensitivity Analysis ◽  
Sample Points

This paper investigates the applied uncertainty and sensitivity analysis to resistors used in voltage series operational amplifier circuit. Two resistors bands are considered which are the gold band (5% uncertainty) and the silver band (10% uncertainty). To generate resistors uncertainty sample points, the SIMLAB uncertainty and sensitivity tool is used. A total of  sample points based on Sobol’ technique has been created for each resistor band. The voltage series amplifier is modelled in MATLAB/Simulink. A MATLAB script has been written to execute Monte-Carlo simulations for reading the resistor sample points, updating and executing the voltage series model and finally calculating the voltage gain. The result of uncertainty analysis shows that the produced voltage gain is uncertain within the range of  for the gold band and  for the silver band with respect to a reference voltage gain. The result of sensitivity analysis shows that each resistor, although their values are different, contributes equally contribution to the uncertainty of voltage gain.

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