Eventos Anais de eventos
ENCIT 2022
19th Brazilian Congress of Thermal Sciences and Engineering
Modeling, simulation and optimization of the microalgae oil extraction process and production of pure hydrocarbons (green diesel)
Submission Author:
Iago Gomes Costa , PR
Co-Authors:
Iago Gomes Costa, JOSÉ VIRIATO COELHO VARGAS, Wellington Balmant, Diego de Lima Sousa, Flávio Júnior Santiago Silva, Vinicius Figueredo dos Santos
Presenter: Diego de Lima Sousa
doi://10.26678/ABCM.ENCIT2022.CIT22-0565
Abstract
Microalgae appear as a good opportunity for the production of biofuels, because in addition to the production of biodiesel, they also produce hydrocarbons that can be compared to hydrocarbons produced by mineral sources. These hydrocarbons can be used directly as fuels or as additives in petroleum-based fuels. The main objective of this work is to model, simulate and optimize the process of extracting oil from microalgae and producing pure hydrocarbons (diesel-green). For the mathematical modeling of the distillation column, the volume element model (VEM) was used. The governing equations are the principles of conservation of mass, energy and species applied to each volume element (VE). For the equation, some hypotheses were used: ideal gas; Joback method for calculating specific heats; Antoine's equation; and constant pressure. For adjustment and experimental validation of the mathematical model, several theoretical plates will be used to maximize the separation of compounds from the sample. The bottom and top temperatures were controlled to obtain a better fractionation of the sample, distilling only the compounds of interest (hydrocarbons ranging from C12 to C19). The experimental data will be used for calibration and validation of the mathematical model. Parametric analysis will be conducted to assess the impact of the variation of selected process parameters on the obtained optimums. To carry out the thermodynamic optimization of the process, the model developed and experimentally validated will be used. An exergetic analysis will be added to the model, which will allow computing the entropy generation (2nd Law of Thermodynamics) to identify the thermodynamic losses that occur in the process, in order to minimize them. The objective function will be to maximize the distillation of the sample in order to maximize the production and purification of the compounds of interest. Optimal geometric parameters will be determined for maximum fractionation of the sample, such as the geometric configuration of the distillation dishes and the size of the column.
Keywords
microalgae, Hydrocarbon, extraction, characterization, mathematical modeling
