Tratamento terciário de efluente sanitário utilizando biorreatores com microalga chlorella vulgaris

• Autor(a) principal: Pereira, Juliana Cabral
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFS
• Texto Completo: https://ri.ufs.br/jspui/handle/riufs/17796
• topic: Engenharia química; Microalga; Esgotos; Águas residuais; Aspectos ambientais; Tratamento terciário; Modelo matemático; ENGENHARIAS::ENGENHARIA QUIMICA

Microalgae represent a promising alternative for sustainable technologies for wastewater treatment, due to great nutrientes uptake and also value added to the process by the production of algal biomass. The aim of this work is to investigate the treatment efficiency of Chlorella vulgaris for removal nitrogen and phosphorus from secondary effluent, collected at the Effluent Treatment Station "- ETE" of the Federal University of Sergipe. Application of the experimental data in a mathematical model and the composition of the biomass obtained will also be studied. The experiment was carried operating in a batch system in an external environment. Phosphate, nitrite, nitrate, ammoniacal nitrogen, biomass and pH were measured. During the experiment, pH values ranged from 7 to 11, the maximum dry biomass moisture was 10.5 mg L-1, with a 64% deviation and 87% nitrogen. A characterization of biomass with a protein content of 68.5%, lipids of 17.5% and carbohydrates of 4.1%, because the high protein content, algal biomass can be use in the composition of animal feeds. To describe the behavior of biomass production and nutrient consumption by the microalga was used an already proposed model that is based on the kinetics of Monod, modified by the insertion of a term on the influence of nutrient concentration. The model was implemented in FORTRAN, solved by applying the DASSL subroutine, for the estimation of parameters was used ESTIMA program. The model presented a realistic adjustment to the experimental data, the estimated values of the parameters were statistically significant and physically realistic, describing with good precision the experimental data.