Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Mathematical Modeling and Simulation of Mixotrophic Tetradesmus obliquus Growth
Submission Author:
Murilo Gasparin Rampi , PR
Co-Authors:
Murilo Gasparin Rampi, Gabriela Conor Figueiredo, Anne Defranceschi Oliveira, Wellington Balmant, Beatriz Jacob Furlan, André Bellin Mariano, JOSÉ VIRIATO COELHO VARGAS
Presenter: Murilo Gasparin Rampi
doi://10.26678/ABCM.COBEM2023.COB2023-2095
Abstract
As concerns about the environmental impact of greenhouse gas emissions continue to rise, there is a growing need for sustainable and effective ways to reduce these emissions. One promising solution is the use of microalgae to treat gas emissions, as it represents a cost-effective and environmentally friendly approach to combatting this issue. Microalgae have been shown to effectively absorb and utilize carbon dioxide from combustion gases, while also producing biomass that can be used as a valuable source of renewable energy. However, there are still challenges that need to be addressed to make this technology viable on a large scale. Scaling up microalgae production from laboratory to commercial scale is a complex task that poses several challenges. The challenges associated with scaling up microalgae production are further compounded by the need to optimize growth conditions. One of the main difficulties is achieving high biomass productivity at a large scale, as microalgae growth is highly sensitive to various environmental factors, such as light, temperature, and nutrient availability. Mixotrophic growth, the simultaneous utilization of organic carbon sources and inorganic carbon, has been proposed as a strategy to increase biomass productivity in microalgae cultures. This approach has shown promising results in terms of biomass productivity, lipid content, and nutrient removal efficiency, making it a potential solution to the challenges associated with large-scale microalgae production. The objective of the paper is to develop a mathematical model that can accurately predict the growth kinetics of the Tetradesmus obliquus in a mixotrophic culture. The study aims to use chu medium supplemented with glucose as a carbon source and atmospheric air as a source of carbon dioxide to collect data of the growth conditions of microalgae in a controlled environment to validate the proposed mathematical model. The research seeks to explore the growth characteristics of the microalgae and provide insights into the optimal conditions required for high biomass productivity. By using mathematical modeling and simulation, the study aims to enhance the understanding of the mechanisms involved in microalgae growth and provide a framework for optimizing the growth conditions of mixotrophic microalgae cultures.
Keywords
microalgae, Computational simulation, mixotrophic
