This paper presents the sensitivity and uncertainty analysis of a mathematical model forGreenhouse gas (GHG) and energy consumption assessment from wastewater treatment plants(WWTPs). The model is able to simultaneously describe the main biological and physical-chemicalprocesses in a WWTP. Specifically, the mathematical model includes the main processes of the waterand sludge lines influencing the methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2)emissions. Further, the process energy demand and the energy recovery are also taken into account.The main objective of this paper is to analyze the key factors and sources of uncertainty influencingGHG emissions from WWTP at a plant-wide scale. The results show that influent fractionation has animportant role on direct and indirect GHGs production and emission. Moreover, model factors relatedto the aerobic biomass growth show a relevant influence on GHGs in terms of power requirements.Thus, a good WWTP design and management aimed at limiting the GHG emission should carefullytake into account the aeration system model to reduce GHG emission associated with electrical powerdemand. Also, the N2O emission associated with the effluent has the highest relative uncertaintybandwidth (1.7), suggesting one more need for a mechanistic model for N2O production in biologicaltreatment.
|Numero di pagine||8|
|Stato di pubblicazione||Published - 2014|
All Science Journal Classification (ASJC) codes