57 research outputs found

    ENERGETIC CONVERSION OF ORGANIC FRACTION OF MUNICIPAL SOLID WASTE BY ANAEROBIC CODIGESTION WITH SEWAGE SLUDGE

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    The PhD thesis is focused on the creation of an applicative protocol to optimize the WWTP anaerobic digesters up-grade and the project of new ones, basing the design on biochemical process equations rather than on classical empirical methods. To reach this purpose, a complete analysis of the whole anaerobic digestion process is designed, scaling up from micro to macro parameters

    Potential of Ceria-Based Catalysts for the Oxidation of Landfill Leachate by Heterogeneous Fenton Process

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    In this study, ceria and ceria-zirconia solid solutions were tested as catalyst for the treatment of landfill leachate with a Fenton-like process. The catalysts considered in this work were pure ceria and ceria-zirconia solid solutions as well as iron-doped samples. All the catalysts were extensively characterized and applied in batch Fenton-like reactions by a close batch system, the COD (chemical oxygen demand) and TOC (total organic carbon) parameters were carried out before and after the treatments in order to assay oxidative abatement. Results show a measurable improvement of the TOC and COD abatement using ceria-based catalysts in Fenton-like process and the best result was achieved for iron-doped ceria-zirconia solid solution. Our outcomes point out that heterogeneous Fenton technique could be effectively used for the treatment of landfill leachate and it is worth to be the object of further investigations

    Characterization and BMP Tests of Liquid Substrates for High-rate Anaerobic Digestion

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    This work was focused on the physicochemical characterization and biochemical methane potential (BMP) tests of some liquid organic substrates, to verify if they were suitable for undergoing a process of high-velocity anaerobic digestion. The selected substrates were: first and second cheese whey, organic fraction of municipal solid waste (OFMSW) leachate, condensate water and slaughterhouse liquid waste. Firstly, a physicochemical characterization was performed, using traditional and macromolecular parameters; then, batch anaerobic tests were carried out, and some continuous tests were planned. The results revealed that all the analyzed substrates have a potential to be anaerobically treated. Valuable information about treatment rate for a high-velocity anaerobic digestion process was obtained. Start-up of a lab-scale UASB reactor, treating diluted cheese whey, was successfully achieved with good COD removal efficiency. These preliminary results are expected to be further investigated in a successive phase, where continuous tests will be conducted on condensate water and OFMSW leachate. This work is licensed under a Creative Commons Attribution 4.0 International License

    Mental imagery and visual attentional templates: a dissociation

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    Anaerobic digestion of sewage sludge: macromolecular composition and IWA ADM1 application

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    The aim of this study is to characterize sewage sludge (a mixture of primary and secondary sludge) coming from an anaerobic digester (AD) in order to implement the IWA Anaerobic Digestion Model no\ub01 (ADM1, Batstone et al., 2002) and to simulate the process unit behaviour. In order to estimate parameters for the ADM1 implementation and understand sludge properties, the digester was monitored for two months. Traditional chemical-physical parameters and key macromolecular compounds for anaerobic biodegradability (such as carbohydrate, proteins, lipids and volatile fatty acids) were measured samples drawn at inflow and outflow. Biomethane potential (BMP) experiments were performed in triplicate on sewage sludge and digestate. Parameters collected were used to define the influent model input adopting an ASM1/ADM1 interface (Copp\u2019s interface, Copp et al., 2003). BMP tests simulations were realized to calibrate the model, defining an operative procedure. Data set from monitoring period was used for model validation. The simulations underlined potential of AD modelling tool and the importance of macromolecular composition assessment for a correct COD\u2019s fractions and stoichiometric parameters estimate
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