1. Introduction
The exponential growth of the world's population and the technological progress essential for survival converge in a common point: the growth of energy demand and the need to supply it [
1,
2]. This need is closely related to the preservation of regular economic performance [
2,
3]; therefore, any action on the energy source will have some level of impact [
3]. Currently, the focus is on maintaining economic growth strategies, mitigating environmental damage, and improving environmental quality and alternatives against the evident depletion of non-renewable fossil fuel reserves [
4]. Environmental quality is affected by the generation of greenhouse gases from using fossil fuels [
1,
5]. By 2060, the world's oil reserves will be depleted, making it essential to search for sustainable alternatives for energy generation [
6]. The main strategy is the production of renewable energies [
7].
Renewable Energy is obtained from non-limiting sources and is rapidly acquiring greater interest in applications worldwide [
8,
9]. Biomass is a potentially significant and ideal source for sustainable energy production [
10]. Compared to common conventionally used fuels, biomass has much lower environmental impact and flexibility in its origin, the most common being lignocellulosic residues [
11]. Bananas are one of the products with the highest production demand worldwide, abundant in tropical and subtropical countries [
12,
13]. As one of the most cultivated plants, it leaves behind large amounts of residues, such as leaves, stems, pseudostems, and fruits, that do not meet quality standards; these residues are used for energy generation [
14].
The main components of biomass are lignin, cellulose, and hemicellulose [
15]. Cellulose is the compound found in the highest proportion compared to the other components and is composed of repeating units of β-D glucose [
16,
17]. As cellulose is the main component of biomass and is made up of glucose, glucose becomes the model compound, which, when isolated from biomass, facilitates the process of obtaining energy [
18]. Glucose extraction from banana biomass is carried out through different physical, chemical, and biological treatments that simplify operation times and use of resources [
17].
One of the approaches to the use of biomass as a renewable energy source is the production of hydrogen, a compound that can be obtained by thermochemical methods that include pyrolysis and liquefaction gasification processes, and by biochemical processes through the use of microorganisms. In addition, thermochemical processes are considered the most optimal for obtaining a hydrogen-rich synthesis gas from biomass [
19]. With steam gasification being the most promising for producing hydrogen syngas. In this route, the use of steam as a gasifying agent not only provides Syngas rich in
, but also causes minimal environmental impact, especially by avoiding NOx formation with low
generation, so the hydrogen obtained must be considered "green" [
20].
On the other hand, this type of energy is considered as an energy supply for a green and sustainable future, because hydrogen presents ecological, efficient benefits with a great energy potential of approximately 122 MJ/Kg making it an alternative to the use of fossil fuels consumption thanks to its ability to meet the energy demands of the latter. Among the most important advantages of hydrogen are: high energy conversion efficiency, its production with zero water emissions, conversion into fuels, transportation over long distances, etc [
21].
The gasification process is one of the most widely used technologies for obtaining renewable Energy from biomass, allowing to get hydrogen, a known energetic vector [
22]. Gasification consists of partial thermal oxidation which is produced at a temperature of 800 to 1000 °C in the presence of gasifying agents such as steam or oxygen that provide oxygen to the process [
19], the objective of which is to convert biomass into a synthesis gas consisting of carbon dioxide (
), water (
), carbon monoxide (
), hydrogen (
), methane (
), among other gaseous compounds. In addition, small amounts of carbon in solid form, ashes, and other condensable compounds such as tars and oils are produced during the process [
22,
23,
24]. The proportion of these products in the synthesis gas depends significantly on the biomass composition, raw materials, operating conditions, type of cooker, and gasifying agent [
25]. During gasification, cellulose is completely and rapidly converted into glucose at about 400 °C. The main reactions are glucose hydrolysis and water-gas shift [
26].
In
Table 1 [
26] biomass degradation according to its lignocellulosic matter can be observed as a function of temperature, with decomposition starting at temperatures below 373 °C.
During the biomass gasification process, two stages are carried out depending on the formation of the products. Stage I involves the formation of char with high concentrations of H
2 and O
2, as well as the cracking of volatile substances. As the temperature rises, the charcoal is transformed into fixed charcoal, which reacts with the gasifying agent to produce synthesis gas in the stage II [
22]. The gasification process consists of the following chemical reactions, among them are: drying, thermal decomposition or pyrolysis, partial combustion of some gases, vapors and charcoal and finally gasification of the decomposition products [
19].
Approximately two-thirds of the mass of cellulose is organized into an ordered structure to form stable crystallization zones and high-density hydrogen bonding in crystallization zones makes cellulose less soluble and recalcitrant in conversion. Therefore, cellulose is insoluble in water and in most organic solvents [
20].
The gasifier is the vessel where the reactions of the gasification process take place. Its choice will depend on the properties of the biomass, the requirements of the product and the gasifying agent to be used. Among the main ones, three types of gasifiers are used: the upflow and downflow fixed bed gasifier, the fluidized bed gasifier and the entrained flow gasifier. The upflow gasifier has a high thermal efficiency and can handle biomasses with up to 60% moisture; however, they generate more tar. The down-flow gasifier has a low tar production and accepts biomasses with low moisture content of up to 30%. Finally, the fluidized bed has a higher efficiency and biomass conversion due to a more uniform heat distribution [
28].
Several studies have come to determine that renewable energy has an indirect effect on attitudes towards the use of renewable energy through the associated impact on the perception of ease of use and perceived usefulness [
29]. To optimize processes, biomass must be as cheap as possible, as conditions have a significant impact on cost. Cost estimates are also affected by external factors, such as fluctuating fossil fuel prices, variations in a given country’s biofuel policies, and emissions.
According to Adamu & Hossain [
23], the kinetic model of the reaction of glucose gasification is described by the Langmuir-Hinshelwood mechanisms, which consists of adsorption processes, desorption during the activation of the reactants, surface reaction, and desorption of the products. In addition, the process is formed by the water-gas shift (WGS) reaction, dry methane reforming reaction (RDRM), and steam methane reforming (SMR) reaction.
The Evolution of this complex reactions scheme can be simulated using specialized software [
30], such as Ansys Fluent. This tool allows for studying the fluid's thermal behavior during the glucose gasification process using computational fluid dynamics, showing the temperature distribution in the system [
27]. The simulation is framed in three basic stages: a) pre-processing, where the geometric model of the system is defined, followed by the construction of the mesh and the definition of the properties of materials and boundary conditions [
31,
32], and c) post-processing, where the analyst verifies and validates the model [
33].
On the other hand, Python is an open-access programming language useful for scientific computing that can be applied in the chemical area [
34,
35]. Using material balances for each chemical species and the respective kinetic equations from each reaction generated during the gasification process allows the observation and study of the conversion of the raw material into its products.
In this way, Ansys Fluent will be used to compute the temperature profile inside the chemical reactor where gasification will proceed, and Python will be used to calculate the axial concentration profiles for each chemical species involved in the gasification process.
4. Conclusion
The glucose gasification process was simulated as a banana biomass model compound, which allowed the study of the behavior of the resulting gases through a kinetic model, based on the Langmuir-Hinshelwood adsorption mechanism. Molar fluxes were obtained for and ; presented in behavioral curves for two study cases, the dynamic model and the static model; being so that the results did not present significant variations between the static model and the dynamic model; being so that the results did not present significant variations between the static model and dynamic model. The determining factor, the ratio between hydrogen and carbon monoxide , showed a value of 2.2, which complied with results presented by other authors in studies of the same type and which means that the process develops as expected and the components obtained are within acceptable values.
A model was presented that, working with real operating conditions, such as temperature, pressure, porosity, molar flow and mass, and adapted to a kinetic model, allowed analyzing the glucose gasification process without the need to invest economic and logistic resources as a physical implementation would, being this the main advantage of the use of software for process simulation and its behaviors. In addition, the work laid the foundations for subsequent studies to be adapted or improved according to each specific case study, which could be optimization studies or economic studies.