Understanding and Optimizing Peracetic Acid Disinfection Processes Using Computational Fluid Dynamics: The Case Study of Nocera (Italy) Wastewater Treatment Plant
| Autor: | Giusy Lofrano, R. De Rosa, A. Giuliani, R. Maffettone, Siva Sarathy, S. Luise, Giuseppe Raspa, Domenico Santoro, Maurizio Carotenuto, Ferdinando Crapulli, Luigi Rizzo, S. Guadagnuolo, Luca Pucci |
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| Rok vydání: | 2017 |
| Předmět: |
Computational fluid dynamics
Peracetic acid Wastewater disinfection business.industry Inactivation kinetics Disinfectant Environmental engineering Computational fluid dynamics Peracetic acid Microbial inactivation chemistry.chemical_compound Wastewater disinfection chemistry Environmental science Sewage treatment business |
| Zdroj: | Lecture Notes in Civil Engineering ISBN: 9783319584201 |
| DOI: | 10.1007/978-3-319-58421-8_110 |
| Popis: | In this paper, a modeling study focused on optimizing the PAA disinfection performance in a full-scale contact tank currently operated at the Nocera (Italy) Wastewater Treatment Plant is presented. The disinfection process was monitored for over 2 weeks by collecting full-scale data on plant variability in flow, disinfectant demand/decay and microbial concentrations. A computational fluid dynamics (CFD) model of the contact tank describing the PAA disinfection process was developed. Four disinfection scenarios were analysed using an Eulerian-Lagrangian approach: (a) PAA disinfection under the existing conditions; (b) PAA disinfection with PAA pre-mixed prior to the contact tank; (c) PAA disinfection with PAA dosed with 8 injection points distributed over the entire length of the inlet weir; (d) PAA disinfection in an optimized plug-flow contact tank. All these scenarios were analysed for the same operating conditions, i.e. fixed flow, PAA demand/decay and inactivation kinetics. The model-based analysis clearly revealed that the optimized contact tank (scenario d) was able to achieve a much higher contact and extended between microorganisms and disinfectant thus resulting into a five-fold increase in microbial inactivation. |
| Databáze: | OpenAIRE |
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