This paper presents the sensitivity and uncertainty analysis of a mathematical model forudGreenhouse gas (GHG) and energy consumption assessment from wastewater treatment plantsud(WWTPs). The model is able to simultaneously describe the main biological and physical-chemicaludprocesses in a WWTP. Specifically, the mathematical model includes the main processes of the waterudand sludge lines influencing the methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2)udemissions. Further, the process energy demand and the energy recovery are also taken into account.udThe main objective of this paper is to analyze the key factors and sources of uncertainty influencingudGHG emissions from WWTP at a plant-wide scale. The results show that influent fractionation has anudimportant role on direct and indirect GHGs production and emission. Moreover, model factors relatedudto the aerobic biomass growth show a relevant influence on GHGs in terms of power requirements.udThus, a good WWTP design and management aimed at limiting the GHG emission should carefullyudtake into account the aeration system model to reduce GHG emission associated with electrical poweruddemand. Also, the N2O emission associated with the effluent has the highest relative uncertaintyudbandwidth (1.7), suggesting one more need for a mechanistic model for N2O production in biologicaludtreatment.
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