Global sensitivity analysis for control of biological wastewater treatment

A mathematical dynamic model for a biological wastewater treatment plant (WWTP) which is located in a paper production facility of PIPSA (Papelera Industrial Potosina, S.A. de C.V.), was recently developed for the main purpose of the development of a control system to improve the water quality of its effluent (Román-Martínez et al., 2013). In this work, an uncertainty and sensitivity analysis of the model outputs is done in order to validate this model and make certain necessary simplifications for the reduction of its complexity. The framework used for the uncertainty management consists mainly in 1.-the model solution verification; 2.-the definition of the objective of the analysis; 3.-the framing containing: identification of the sources of uncertainty and a Monte-Carlo procedure followed by the sensitivity analysis; 4.-a sanity check; and 5.-a decision making process (Sin and Gernaey, 2009). The model of the WWTP bioreactor studied consists of seven ordinary differential and five reaction rates constitutive equations; which include seven output variables (state variables), nineteen input variables and twenty one parameters, from which only seven really affect the model outputs for the bioreactor. © 2014 Elsevier B.V.

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