Comportamento fluidodinâmico em lagoas de alta taxa

• Ano de defesa: 2021
• Autor(a) principal: ISMAIL ABDALLAH ISMAIL HASSAN
• Orientador(a): Marc Arpad Boncz
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Fundação Universidade Federal de Mato Grosso do Sul
• País: Brasil
• Palavras-chave em Português: HRAP; CFD
• Link de acesso: https://repositorio.ufms.br/handle/123456789/8643

The treatment of effluents using microalgae is currently being extensively studied due to several advantages. For instance, it allows for significant biomass production for bioenergy generation and offers greater efficiency in nutrient removal compared to traditional processes. However, this treatment process requires specific conditions for optimal functioning. Among these conditions are heat transfer, oxygen and carbon dioxide exchange, and exposure to sunlight. All of these involve transport processes, emphasizing the need for fluid dynamics optimization. To address this, a study aims to model the fluid dynamics in High Rate Algal Ponds (HRAPs), a type of bioreactor commonly used for microalgae processes. Through computational simulations, this study compares the efficiency of HRAPs with existing models. The goal is to select an authentic model that can contribute to future studies involving other parameters. Additionally, the study investigates the impact of paddlewheel effects on HRAP fluid dynamics and extracts thermodynamic data. Using the FLUENT software and principles of Computational Fluid Dynamics (CFD), a model of an HRAP bioreactor was constructed. The simulation validated the results by comparing them with measurements from a bench-scale HRAP reactor, maintaining close alignment with real-world values. Specifically, when comparing measurements in the reactor with simulations using the Transition SST model (Shear Stress Transport Transition, a transient shear stress transport model), the maximum percentage error was 8.6%. In summary, leveraging computational tools and quantifying the influence of various parameters related to HRAP fluid dynamics allows for the development of a valid model that outperforms existing ones. This model can then be used to optimize reactor configurations