Kinetic study of thermal decomposition of sugarcane bagasse pseudo-components at typical pretreatment conditions: Simulations of opportunities towards the establishment of a feasible primary biorefining

Bahú, Juliana O.; Oliveira, Roger Assis de; Souza, Leticia Mayuri Aiacyda De; Rivera, Elmer Ccopa; Felisbino, Romilda Fernandez; Filho, Rubens Maciel; Tovar, Laura Plazas

doi:10.1016/j.clce.2022.100074

Cited by 3 publications

(4 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the equations provided, where C H signifies hemicellulose concentration (g L −1 ), C X stands for xylose concentration (g L −1 ), and C DP denotes the concentration of DP (g L −1 ), the kinetic constants are denoted as k 1 and k 2 (min −1 ), while ϕ Ac accounts for the LSR effect (dimensionless). Considering the temperature's constant influence, the introduction of the Arrhenius equation [ 10 ] (Equation ) has been incorporated into Equations (). Consequently, models featuring the Arrhenius equation are represented within Equations ().

k_{1, 2} = k_{H_{0}, X_{0}} C_{normalA}^{β_{normalH, normalX}} \exp (- \frac{E}{italicRT}),

\frac{d C_{normalH}}{italicdt} = - k_{H_{0}} C_{normalA}^{β_{H}} \exp (- \frac{E}{italicRT}) C_{normalH} ϕ_{Ac},

\frac{d C_{X}}{dt} goodbreak= k_{{normalH}_{0}} C_{A}^{β_{normalH}} \exp ((), goodbreak- \frac{E}{RT}) C_{H} ϕ_{Ac} goodbreak- k_{X_{0}} C_{A}^{β_{X}} \exp ((), goodbreak- \frac{E}{RT}) C_{X},

\frac{d C_{DP}}{italicdt} = k_{X_{0}} C_{normalA}^{β_{X}} \exp (- \frac{E}{italicRT}) C_{normalX},

The parameters k H0 and k X0 symbolize the pre‐exponential factors for hemicellulose and xylose, respectively (min −1 % v/v).…”

Section: Methodsmentioning

confidence: 99%

“…In the equations provided, where C H signifies hemicellulose concentration (g L À1 ), C X stands for xylose concentration (g L À1 ), and C DP denotes the concentration of DP (g L À1 ), the kinetic constants are denoted as k 1 and k 2 (min À1 ), while ϕ Ac accounts for the LSR effect (dimensionless). Considering the temperature's constant influence, the introduction of the Arrhenius equation [10] (Equation 10) has been incorporated into Equations ( 7)- (9). Consequently, models featuring the Arrhenius equation are represented within Equations ( 11)- (13).…”

Section: Simulation Of the Acid Hydrolysis Of Scbmentioning

confidence: 99%

“…[1][2][3][4][5][6] Among these sources, sugarcane bagasse (SCB), an abundant biomass, holds substantial promise for generating new renewable energy avenues and an array of value-added products due to its unique composition. [4,7] This biomass primarily comprises hemicellulose, lignin, and cellulose, [8][9][10][11][12] with hemicellulose and cellulose serving as key biopolymers within the SCB matrix. These biopolymers offer the potential to produce fermentable sugars, including xylose and glucose.…”

Section: Introductionmentioning

confidence: 99%

“…The kinetic parameters for the model were derived from empirical data. Finally, Coral et al [23] undertook a simulation of hydrolysis processes involving various biorefinery configurations using ASPEN Plus V. 10. In cases where the process did not encompass biomass, the NRTL model was employed to compute thermodynamic parameters.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

Velázquez‐Herrera,

Cobos‐Murcia,

Bolaños‐Reynoso

et al. 2024

Can J Chem Eng

View full text Add to dashboard Cite

This research paper presents a comprehensive investigation aimed at enhancing the 2G bioethanol production process through the implementation of a dynamic process simulator. The simulator, developed using the Julia programming language, enables the prediction of acid hydrolysis behaviour by manipulating critical variables, including liquid–solid ratio (LSR), acid concentration (CA), and processing time (t). Through meticulous simulations and subsequent experimental validation, optimal operating conditions were revealed, with an H2SO4 concentration of 2% v/v, a LSR of 4% v/w, and 60‐min processing time at 121.1°C. This configuration led to remarkable outcomes, including a xylose concentration of 47.45 g L−1 and an 87.4% hemicellulose removal percentage. Moreover, the simulator unveiled the adverse influence of low LSR values on xylose production and the generation of degradation products. The recalibration of kinetic parameters, guided by experimental data, further fine‐tuned the simulator's predictive accuracy. Overall, this study underscores the potential of the simulator in optimizing various raw materials and presents a promising avenue for advancing 2G bioethanol industry practices.

show abstract

k_{1, 2} = k_{H_{0}, X_{0}} C_{normalA}^{β_{normalH, normalX}} \exp (- \frac{E}{italicRT}),

\frac{d C_{normalH}}{italicdt} = - k_{H_{0}} C_{normalA}^{β_{H}} \exp (- \frac{E}{italicRT}) C_{normalH} ϕ_{Ac},

\frac{d C_{X}}{dt} goodbreak= k_{{normalH}_{0}} C_{A}^{β_{normalH}} \exp ((), goodbreak- \frac{E}{RT}) C_{H} ϕ_{Ac} goodbreak- k_{X_{0}} C_{A}^{β_{X}} \exp ((), goodbreak- \frac{E}{RT}) C_{X},

\frac{d C_{DP}}{italicdt} = k_{X_{0}} C_{normalA}^{β_{X}} \exp (- \frac{E}{italicRT}) C_{normalX},

The parameters k H0 and k X0 symbolize the pre‐exponential factors for hemicellulose and xylose, respectively (min −1 % v/v).…”

Section: Methodsmentioning

confidence: 99%

Section: Simulation Of the Acid Hydrolysis Of Scbmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

Velázquez‐Herrera,

Cobos‐Murcia,

Bolaños‐Reynoso

et al. 2024

Can J Chem Eng

View full text Add to dashboard Cite

show abstract

Thermal decomposition of crude and de-oiled shea almond cakes: kinetic and thermodynamic characteristics study using thermogravimetric analysis

Acka,

Sawadogo,

Tanoh

et al. 2024

Biomass Conv. Bioref.

View full text Add to dashboard Cite

Strategies to Ensure Fuel Security in Brazil Considering a Forecast of Ethanol Production

Gonçalves

Lopes

Tovar

et al. 2023

Biomass

View full text Add to dashboard Cite

Ethanol production in Brazil started in the early 1930s due to laws created by the Brazilian government. However, ethanol production only increased significantly with the National Program of Ethanol implementation in 1975. This program was another action taken by the Brazilian government aiming to provide conditions for the development of the ethanol industry in the country. With the program, it was possible to achieve significant progress; however, it finished in the mid-1980s. Currently, ethanol is produced on a large scale by more than 300 sugarcane mills all over the country. In 2016, the Brazilian government provided another incentive for ethanol production by creating the RenovaBio Program, which aimed to reduce greenhouse gas emissions. Besides the environmental aspect, Brazil’s ethanol industry needs to develop to supply future biofuel demand. According to the forecast provided in this paper, and considering technical, economic, and environmental aspects regarding the Brazilian ethanol industry, the current and only feedstock used is likely to be insufficient. Thus, the ethanol produced from corn would be an attractive secondary feedstock to complement sugarcane ethanol as the primary feedstock.

show abstract

Kinetic study of thermal decomposition of sugarcane bagasse pseudo-components at typical pretreatment conditions: Simulations of opportunities towards the establishment of a feasible primary biorefining

Cited by 3 publications

References 55 publications

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

Thermal decomposition of crude and de-oiled shea almond cakes: kinetic and thermodynamic characteristics study using thermogravimetric analysis

Strategies to Ensure Fuel Security in Brazil Considering a Forecast of Ethanol Production

Contact Info

Product

Resources

About