Banca de DEFESA: Thiago da Silva Gonzales

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Thiago da Silva Gonzales
DATE: 20/12/2023
TIME: 14:00
LOCAL: Microsoft TEAMS
TITLE:

SIMULATION IN ASPEN PLUS® OF THE LIGNOCELLULOSIC WASTE TORREFACTION PROCESS IN THE FEDERAL DISTRICT

KEY WORDS:

Pseudocomponente, Energia renováveis, Exergia, Biocarvão e Conversão termoquímica.

PAGES: 93
BIG AREA: Engenharias
AREA: Engenharia Mecânica
SUMMARY:

In recent years, the increase in population and, consequently, the demand for energy has led to a search for sustainable solutions. One of these solutions involves the utilization of urban forest waste (UFW), which are often improperly discarded, causing environmental problems. Faced with the challenge of ensuring sustainable energy and protecting the environment, it is essential to study alternatives that minimize environmental impacts and improve the management of these residues in the economy. Recent studies show that torrefaction is a promising and important technique for the thermochemical pretreatment of lignocellulosic biomass. The torrefied product acquires properties like coal and characteristics optimized for sustainable energy and heat generation, improving biomass properties such as energy density, hydrophobicity, decomposition resistance, and storage performance. In this study, a biomass torrefaction model was developed to provide essential information for waste-to-energy solutions, specifically for future exergetic analysis. Experimental data from a mixture of UFW from the Brasília forest ecosystem were used as input data for simulations. The model, implemented in Aspen Plus® software, was validated at various torrefaction temperatures (225-275°C), showing good agreement with reported experimental data and estimating various parameters for the qualification of the torrefied material (Absolute Deviation < 9%). Torrefaction was successfully modeled using an RYield reactor, employing a two-step kinetic reaction model for biomass decomposition. Subsequently, using the Response Surface Methodology (RSM), the model's potential was explored by varying residence time, initial moisture content of raw biomass, and treatment temperature, obtaining statistically significant mathematical models (p-value < 0.05) with R² > 0.99. The model demonstrated the ability to i) provide a detailed distribution of products and by-products during the biomass torrefaction process and ii) predict important fuel properties, such as proximate and elemental analyses. Additionally, the model allows the estimation of energy consumption and irreversibility properties.

COMMITTEE MEMBERS:
Presidente - 3138349 - EDGAR AMARAL SILVEIRA
Externo à Instituição - LUIS ALBERTO FOLLEGATTI ROMERO - USP
Interno - 2245668 - MARIO BENJAMIM BAPTISTA DE SIQUEIRA
Interno - 3375759 - TAYGOARA FELAMINGO DE OLIVEIRA