Modelación matemática del tratamiento del efluente de un Biorreactor Anaerobio de Membranas (AnMBR)
Wastewaters, which traditionally have been conceived as a waste with a high impact on public health and environment, begin to be considered in much of the world as a resource from a energetic point of view and for producing fertilizers and effluents ready to be reused. This change of paradigm implie...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/86098 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/86098 |
| Access Level: | acceso abierto |
| Palabra clave: | Mathematical modeling Sulphide Methane Sensitivity AnMBR Modelación matemática Sulfuro Metano Sensibilidad Modelació matemàtica Sulfur Metà Sensibilitat TECNOLOGIA DEL MEDIO AMBIENTE Máster Universitario en Ingeniería Hidráulica y Medio Ambiente-Màster Universitari en Enginyeria Hidràulica i Medi Ambient |
| Sumario: | Wastewaters, which traditionally have been conceived as a waste with a high impact on public health and environment, begin to be considered in much of the world as a resource from a energetic point of view and for producing fertilizers and effluents ready to be reused. This change of paradigm implies that the objective of wastewater treatment plants needs to go beyond the simple elimination of wastewater pollutants. Now, the improvement of their overall sustainability through resource recovery and energy efficiency enhancement is added to this purpose. In this context, anaerobic treatments represent a very interesting option for wastewater treatment that have captured the attention of the scientific community due to their advantages compared to conventional aerobic treatments. In general, this type of treatments are applied to high-loaded wastewaters, being sludge digestion and industrial wastewater treatments the main applications. Between the technologies that allow the development of an anaerobic treatment, Anaerobic Membrane Bioreactors (AnMBR) constitute a promising alternative for being applied in the main stream of urban wastewater treatment plants. The effluent of a AnMBR is characterised by a high concentration of nutrients, a moderate concentration of volatile fatty acids and dissolved methane, and a high concentration of sulphide. In many cases this effluent cannot be discharged or reused, and it is necessary to apply an adequate post-treatment which also avoids methane and hydrogen sulphide emissions to the atmosphere. Mathematical modelling of wastewater treatment is shown to be a powerful tool that permits to understand the behaviour of the system and facilitates the design of wastewater treatment plants and lab-scale experiments. Thus, the main objective of this work has been the mathematical modelling of the physical, chemical and biological processes that eliminate the pollutants of a AnMBR effluent. The development of the mathematical model has taken into account the elimination of organic matter and nutrients, the elimination of sulphur and the elimination of methane. It has been implemented in software MatLab. The mathematical model of the elimination of organic matter and nutrients is based on the model BNRM2 (Barat et al. 2013) developed by CALAGUA research group of the Polytechnic University of Valencia (UPV). The model includes the processes of heterotrophic microorganisms, ammonium-oxidizing microorganisms, nitrite-oxidizing microorganisms and polyphosphate accumulating microorganisms. It also includes stripping of gases and chemical equilibrium processes in order to evaluate the effect of pH. On the other hand, the models of the elimination of sulphur and methane have been developed from existing models in the bibliography (et al. 2015a, 2015b, 2016; Chen et al. 2015). The biological elimination of sulphur is based on the activity of sulphide-oxidizing microorganisms and autotrophic denitrifying microorganisms, while the physical and chemical eliminations consist on hydrogen sulphide stripping and chemical oxidation of sulphide, respectively. For methane, the effects of the activity of methanotrophic microorganisms and methane stripping have been studied. Once the model has been developed, a sensitivity analysis applying the standardized regression coefficients method (Sin et al. 2011) was carried out. A Montecarlo analysis with the Latin-Hypercube-Sampling method was conducted, and a multiple linear regression model was adjusted in order to evaluate the sensitivity of the model to its parameters. The results obtained in this work show that the mathematical model developed reproduces adequately the experimental data of the bibliography. This means that the model has enough capacity of prediction to be applied in the design of lab-scale experiments, pilot plants or even large-scale treatment plants. Furthermore, the results highlight the limitations of the models of the elimination of su |
|---|