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Determinants of the adoption of tiny houses and their role in alleviating housing shortages in Germany

  • The lack of affordable housing and the considerable negative environmental impact of the housing sector pose significant challenges for policymakers. Tiny houses have been proposed as a potential solution, but there is still limited understanding of consumer behaviour and attitudes towards such solutions. This study looked at the adoption of tiny houses in Germany by applying the Theory of Planned Behaviour as a theoretical framework to explore demographic and socio-economic factors, motivations, and barriers for living in tiny houses. Data was collected through interviews and an online survey. The results showed a statistically significant positive relationship between intention to live in a tiny house and age, and a significant negative relationship between intention and current accommodation size. Main motivations found in this research were sustainability, cost reduction, freedom, minimalism, mobility, and a sense of community. The main barriers included legal restrictions and a negative perception of minimalism. The lessons learned from this research were: (1) COVID-19 had a negative impact on about 40% of participants, but a statistically significant positive impact on those who were already interested in small houses. (2) Although tiny houses located in cities would be preferable to meet the need for well-connected, high-density housing solutions for young and elderly people and to alleviate the housing shortage, most people seem to be interested in rather rural tiny houses. (3) Minimalism is both a motivator and a barrier to interest in tiny houses, but with a societal shift towards sustainability could become more of a motivator. (4) Interest in tiny homes often builds on financial constraints and limited alternative housing options. (5) The Theory of Planned Behaviour proved to be a sound theoretical framework for this research.

    Citation: Véronique Vasseur, Jessica Sing, Samuel W. Short. Determinants of the adoption of tiny houses and their role in alleviating housing shortages in Germany[J]. Clean Technologies and Recycling, 2022, 2(4): 199-224. doi: 10.3934/ctr.2022011

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  • The lack of affordable housing and the considerable negative environmental impact of the housing sector pose significant challenges for policymakers. Tiny houses have been proposed as a potential solution, but there is still limited understanding of consumer behaviour and attitudes towards such solutions. This study looked at the adoption of tiny houses in Germany by applying the Theory of Planned Behaviour as a theoretical framework to explore demographic and socio-economic factors, motivations, and barriers for living in tiny houses. Data was collected through interviews and an online survey. The results showed a statistically significant positive relationship between intention to live in a tiny house and age, and a significant negative relationship between intention and current accommodation size. Main motivations found in this research were sustainability, cost reduction, freedom, minimalism, mobility, and a sense of community. The main barriers included legal restrictions and a negative perception of minimalism. The lessons learned from this research were: (1) COVID-19 had a negative impact on about 40% of participants, but a statistically significant positive impact on those who were already interested in small houses. (2) Although tiny houses located in cities would be preferable to meet the need for well-connected, high-density housing solutions for young and elderly people and to alleviate the housing shortage, most people seem to be interested in rather rural tiny houses. (3) Minimalism is both a motivator and a barrier to interest in tiny houses, but with a societal shift towards sustainability could become more of a motivator. (4) Interest in tiny homes often builds on financial constraints and limited alternative housing options. (5) The Theory of Planned Behaviour proved to be a sound theoretical framework for this research.



    The global demand for mobile auto tires has been growing throughout recent years due to the increased use of automobiles. It was predicted that a total of 2.5 billion units of tires would be in demand by the year 2022 [1], and another study by [3,4] revealed that the global market for tires will reach 2.67 billion units by 2027. Consequently, this will add to the significant number of waste tires that are present. Some environmental problems are associated with the increased generation of waste tires stemming from the difficulty in disposing of them in an environmentally friendly manner.

    The manufacture of waste tires is a complex process that uses several ingredients to produce tires with specific properties. The primary ingredients in the manufacture of tires are natural and synthetic rubber. As a result, the tire industry is the largest consumer of natural and synthetic rubber. Natural rubber in tires is found in cis-1, 4-polyisoprene, while synthetic rubber is found in Stirene Butadiene Rubber, Butyl Rubber, and Isobutylene Isopropylene Rubber [2]. In the manufacture of tires, natural rubber and different types of synthetic rubber are vulcanized together in the presence of sulfur to form a composite with specific properties required for the tire [2]. Natural and synthetic rubber in tires are found in the tire treads, and the sidewalls of the tires and the composition of these rubbers on the tires differ depending on the type of tire being manufactured [3]. The second most important ingredient in the manufacture of tires is carbon black, amounting to about 20–30 wt % of the tire. Carbon black is a reinforcement filler in tires to improve tire tensile and tear strength, abrasion resistance, and other mechanical properties [4].

    Other essential ingredients used to manufacture tires include metals, textiles, vulcanization agents, and additives. Metals such as steel and steel alloys are used in the tire beads and belts in different proportions depending on the type of the tire. These beads are in tires to connect the tire and the wheel rim, while the beads filler serves as a transition between the beads wire and the inner liner [2]. Textiles such as polyester nylon and natural rayon are used to manufacture tires as a substitute for metals in lighter tires [5]. Vulcanization agents and additives such as sulfur groups, zinc oxide, antioxidants, and antiozonants are used in the vulcanization process to manufacture tires. Vulcanization is a process utilized to convert natural rubber and synthetic rubber into a crosslinked structure of rubber [6]. Vulcanization is an irreversible process responsible for tire properties such as elasticity, higher deformation resistance, and biodegradable resistance.

    These properties of tires are the primary reason it is difficult to dispose of waste tires in an environmentally friendly way. Tires are considered non-biodegradable, and as a result, they do not decompose, and they can persist in the environment for many years if they are not properly disposed of. On many occasions, waste tires are stockpiled or landfilled, and these disposal methods are not environmentally friendly; instead, they lead to the loss of value from waste tires and pose some environmental and health issues in society. Waste tire management is governed by laws and regulations that seek to ensure the environmentally responsible disposal of waste tires in South Africa. The National Environmental Management Act, 2008 (Act No. 59 of 2008) provides a framework for waste management, including the management of waste tires in South Africa. The act emphasizes the need for waste tire minimization, the importance of waste tire recycling, and the need for and importance of responsible disposal of waste tires. The Act mandated that waste tires must be managed in an environmentally sound manner, which included requirements for the proper storage, collection, and processing to prevent environmental pollution and health hazards. It also required tire producers and importers to develop and implement waste tire management plans, ensuring that they take responsibility for the entire lifecycle of their products. The Act established licensing requirements for facilities handling tire waste and set strict penalties for non-compliance, reinforcing the need for adherence to high environmental standards. The 2017 amendments to the NEMA Waste Act further increased the stringency in managing waste tires by introducing the concept of Extended Producer Responsibility (EPR). This required producers to be accountable for the end-of-life management of tires, encouraging more proactive approaches to recycling and waste reduction. The amendments also included more rigorous criteria for waste management licensing, enhanced compliance and enforcement powers for environmental authorities, and stricter penalties for violations. Additionally, the amendments mandated the establishment of national norms and standards for waste management activities and set specific targets for waste minimization and recycling. These changes aimed to improve the overall efficiency and effectiveness of tire waste management, ensuring greater environmental protection and sustainability.

    Pyrolysis is a thermal treatment process that has been viewed as a promising technique for recovering energy from waste tires due to their high calorific value and high carbon content. The process can reduce the weight percent of waste tires by up to 90 % of their original weight and produce products such as waste tire pyrolytic oil, char, and gas. Through further processing, the pyrolytic oil can be upgraded and used in boilers and as feedstock in petroleum refineries [7,8]. The pyrolytic gas obtained from the pyrolysis of waste tires is said to have a high calorific value. It finds its use as fuel to supplement the energy requirements for the pyrolysis process [9]. On the other hand, the pyrolytic char has been gaining attention due to its properties. The solid product from the pyrolysis of waste tires accounts for up to 30–40 % of the waste tire weight. Through further processing, the char can be used as carbon black to manufacture waste tires as a reinforcement filler [10]. The pyrolytic char has desirable physical properties and can also be used as a precursor in producing activated carbon with high internal surface area and good adsorptive characteristics. The problem associated with waste tire pyrolytic char for use as a precursor of activated carbon is concentrations of Zinc and sulfur, which are considered undesirable for use as a precursor. Sulfur and Zinc are used in the production of rubber tires during the vulcanization process to introduce crosslinks elastomers' polymer matrix [11]. The vulcanization process using sulfur and zinc oxide increases the hardness, tensile strength, abrasion resistance, and rebound. It improves other properties of the rubber tire, which is a critical step in producing rubber tires [12].

    To combat this issue, research has been done on the leaching of Zinc and sulfur from the char before the activation step to produce activated carbon. It has been reported that process variables such as solid/liquid ratio, solvent concentration, agitation speed, pH, leaching time, temperature, and particle size of the solid sample influence the leaching rate [13,14]. Yamaguchi et al. [14] reported that leaching of the waste tire pyrolysis char with hydrochloric acid and activation of the resulting char with steam at 925 ℃ for 520 min resulted in the production of waste tire activated carbon with a BET surface area of 1022 m2/g. The effects of molten salt thermal treatment on the properties improvement of waste tire pyrolytic char were investigated by Zou et al. [15]. According to their findings, molten salt thermal treatment can effectively remove impurities from various pyrolytic chars, with the best reaction conditions being 400 ℃, 2 hours of reaction time, and a molten salt/char ratio of 10:1. Furthermore, the pyrolytic char's graphite carbon content was increased from 24.41% to 70.90%, and the hydroxyl content on the pyrolytic char surface significantly increased. Jiang et al. [16] investigated the recovery of high pure pyrolytic carbon black from waste tires using dual-acid treatment. They discovered that their leaching process could effectively remove more than 80% of ash and 70% of sulfur at 400 ℃, with char recovery rates ranging from 71% to 83%.

    Furthermore, molten salts demonstrated good activity in converting char-containing inorganic sulfides and SH radicals into salts-soluble Na2S. Similarly, silicon and zinc tended to be converted into soluble silicate and zincate, which had good solubility in the used molten salt. It was also reported that the amount of sulfur and Zinc in the char decreased because of leaching with hydrochloric acid. Other studies observed similar behavior concerning the decrease in the zinc and sulfur content and an increase in the BET surface area obtained after activation with steam [17]. The homogeneous model, uniform pore model, grain model, and shrinking core model (SCM) are a few kinetic models that have been put out in the literature to describe the kinetics of dissolution of solid material [18]. Since it is the most straightforward description for most industrial solid-fluid processes, the authors developed the shrinking core model to describe waste tire pyrolytic char dissolving kinetics. Here, we use the SCM to forecast how zinc and sulfate ions will dissolve over time from waste pyrolytic char made from used tires. As a result, the mathematical model can precisely forecast zinc and sulfate ions leaching from pyrolyzed waste tire char.

    The kinetics of processes in a solid-state material are described using the shrinking core model (SCM), a frequently used concept in chemical engineering. According to this hypothesis, a solid particle comprises numerous layers, the outermost layer reacting with the gas or liquid around it. Shrinkage of the particle's layers occurs as the reaction develops, giving rise to the term "shrinking core." To explain the kinetics of reactions and the rate-limiting step, the SCM is frequently employed in industrial reaction applications. In desulfurization and hydrometallurgical reactions, SCM is used to study the kinetics of heterogeneous reactions, which involve a reactant gas or liquid passing over a solid catalyst [19,20,21,22]. The SCM can help determine the rate-limiting step in the reaction, optimizing the process and performance. Li et al. [35] studied zinc leaching recovery and mechanisms from end-of-life tires. The results obtained from the study revealed that 98% of ZnO particles can be removed from waste tires and that the leaching process was controlled by diffusion. Although there are researchers focusing on the leaching process and kinetics of Zn from waste tires, there is little research on the leaching of Zn2+ and SO42- from waste tire pyrolytic char. We aim to investigate how the different process variables affect the leaching of Zinc (Zn2+) and Sulfates (SO42-) from waste tire pyrolytic char (TPC) before activating the pyrolytic char to produce carbon black. We also focus on the leaching kinetics using the shrinking core model to determine the rate-limiting step for the leaching process, which is not well documented in the literature.

    The primary material for this study was tire pyrolytic char (TPC) obtained from a local supplier. The waste tire pyrolytic char was produced through the pyrolysis of waste tire rubber in a fixed bed reactor operating at a temperature of 700 ℃ for 2 hours under a nitrogen atmosphere as per the supplier's standard pyrolysis conditions. Hydrogen Peroxide (H2O2) was used as the solvent for the leaching experiments, and it was obtained from Rochelle Chemicals and Lab Equipment. H2O2 was used as a solvent in this study because it is a weak acid with high oxidation potential. Other chemical reagents such as Hydrochloric Acid and Sodium Hydroxide were used to adjust the pH value of the solutions before the leaching experiments. These reagents were obtained from Sigma Aldrich (Pty).

    A total of 100g of tire pyrolysis char (TPC) was washed thoroughly with distilled water to eliminate impurities. The washed sample was then placed in a drying oven operating at 100 ℃ for 24 hours to remove moisture from the sample. The dry sample was then sieved to a particle size of 100 µm and stored in a sealed container before further use.

    FTIR analysis was performed on the tire pyrolysis char (TPC) sample to determine the surface functional groups present on the raw sample before the leaching experiments and on the sample after different conditions of the leaching experiments. A Perkin Elmer spectrum (400FT-IR/FT-NIR) was used for this purpose, and the samples were scanned and recorded in the range of 400 – 4500 cm-1. The Diffuse Reflectance Infrared Fourier Transform adapter measuring technique was used as described by [32] since the technique allows for the substance being measured to be analyzed in powder form and does not require the formation of a solid tablet prior to analysis.

    A Phillips XL 30S scanning electron microscope was used to determine the morphology of the tire pyrolysis char (TPC) sample. This was done by scattering the samples on an adhesive carbon plate and sputter coating the sample with a thin layer of gold before conducting the SEM analysis. After leaching experiments, the analysis was done for the raw (TPC) and the (TPC) samples.

    XRD analysis was performed on the tire pyrolysis char (TPC) sample to determine its phase analysis before and after the leaching experiments. The analysis was performed using a PANalytical Empyrean diffractometer with a pixel detector and fixed slits with Fe-filtered CO-Kα radiation. An X'Pert High score plus software was used to identify the phases, and the relative phase amounts (weight %) were estimated using the Rietveld method.

    Leaching experiments of Zn2+ and SO4- from pyrolytic tire char (TPC) were carried out in batch processes using 200ml sealed Erlenmeyer flasks, a magnetic heating plate with a stirrer, and a thermometer. Process variables such as temperature, solvent (H2O2) concentration, solid-liquid ratio, stirring speed, and leaching time were investigated on how they influence the leaching rate. Data from these experiments were also applied to the shrinking core model to determine the rate-limiting step for the leaching process. Table 1 illustrates the experimental design for the process variables varied and the experimental conditions used for the leaching experiments.

    Table 1.  Experimental design showing the experimental conditions for the leaching experiments.
    Process variable Experimental condition
    Temperature (℃) 30 45* 60 75
    Stirring Speed (rpm) 50 100 150* 200
    Solvent concentration (M) 0.5 1 1.5* 2
    Solid/Liquid ratio (g/100 ml) 0.5 1* 1, 5 2
    The values with a (*) superscript show that each process variable was held constant.

     | Show Table
    DownLoad: CSV

    The concentrations of Zn2+ and SO42- in solution were measured using Atomic Absorption Spectrometer (AAS) and Infrared Chromatography. Equation 1 below was used to determine the value of the leaching rate (X):

    X=Zn2+orSO42insolutionafterleachingZn2+orSO42intheoriginalwastetyrepyrolyticcharsample (1)

    where X is the leaching rate (ppm/ppm), Zn2+ or SO42- in solution after leaching are the concentration of Zn2+ or SO42- that remain in solution after leaching experiments (ppm), and Zn2+ or SO42- in the original waste tire pyrolytic char sample are the initial concentrations of Zn2+ or SO42- in the solid char sample before the leaching experiments (ppm).

    Fourier Transform Infrared Radiation analysis was performed on the raw tire pyrolytic char (TPC) before leaching experiments with hydrogen peroxide and after 2 hours. This was to determine the surface functional groups present in the raw char and the char after leaching. The FTIR spectrum was recorded between the range of 400 and 4500 cm-1 wavenumbers for the samples analyzed. The conditions for FTIR analysis after leaching experiments at the solid-liquid ratio, stirring speed, temperature, solvent concentration, and contact time of 1 g/100 ml, 150 rpm, 45 ℃, 1.5 M, and 30 min, respectively. Figure 1 depicts the FTIR spectrums obtained from the analysis. The raw tire pyrolytic char (TPC) sample shows sulfur-containing functional groups observed at bands 2600, 2150, 1400, and 1350 cm-1. After leaching for 2 hours, the presence of sulfur-containing functional groups either disappeared or diminished slightly due to the leaching effect of hydrogen peroxide on the pyrolytic tire char. A similar observation on the removal of sulfur and metallic elements from the pyrolytic tire char through leaching with acids, hydrogen peroxide, and nitric acid has been reported by Seng-eiad and Jitkarnka [23]. Similar observations were made by [33] as a band representing sulfoxide experienced at 1030 cm-1.

    Figure 1.  Fourier Transform Infrared Radiation spectra for the tire pyrolysis char before and after leaching with hydrogen peroxide.

    Table 2 represents the EDS elemental analysis of the tire pyrolytic char samples before and after leaching with hydrogen peroxide. The EDS elemental analysis results in Table 2 are averages of three samples observed during the analysis. The experimental leaching conditions for solid-liquid ratio, stirring speed, temperature, solvent concentration, and contact time were 1 g/100 ml, 150 rpm, 45 ℃, 1.5 M, and 45 min, respectively. The table shows that the sulfur and zinc contents were 1.79 and 3.48 weight %, respectively, in the raw tire pyrolytic char. After subjecting the raw tire pyrolytic char to leaching experiments with 1M hydrogen peroxide for 15 min, it can be observed that the sulfur and zinc content in the tire pyrolytic char reduced to 1.22 and 2.26 weight %, respectively. The same behavior was observed at other leaching time intervals. The optimum leaching contact time can be observed to be 1 hour 30 min, at which the sulfur and zinc content was reduced to 0.47 and 1.21 weight %, respectively. Similar behavior was reported by Seng-eiad and Jitkarnka [23] in their study. It was stated that leaching the pyrolytic tire char with nitric acid, hydrogen peroxide, and hydrochloric acid results in the demineralization of the pyrolytic tire char.

    Table 2.  EDS elemental analysis of the waste tire char before and after leaching at different time intervals.
    Sample ID C O Al Si S K Zn Total
    (wt.%) (wt.%) (wt.%) (wt.%) (wt.%) (wt.%) (wt.%) (wt.%)
    Raw Char 81.58 10.83 0.19 1.99 1.79 0.13 3.48 100
    15 min 84.6 9.77 0.19 1.97 1.22 0 2.26 100
    30 min 85.39 10.11 0.16 1.91 0.94 0 1.69 100
    1 hour 85.22 9.75 0.21 2.18 1.02 0 1.62 100
    1hr 30 min 82.33 14.45 0 1.54 0.47 0 1.21 100
    2 hours 85.13 10.17 0.19 1.75 0.8 0 1.96 100

     | Show Table
    DownLoad: CSV

    Figures 25 show the SEM/EDS profiles for the pyrolytic tire char before and after leaching with hydrogen peroxide at different intervals. The SEM images of the samples before and after leaching experiments do not show much difference in their morphologies. This agrees with a study by Manoj [24], who reported a similar observation. The SEM images show that the morphologies of the samples were quite similar. However, the EDS profiles reveal that the sulfur and inorganic matter content was significantly higher in the waste tire char than in the samples analyzed after the leaching experiments. This is attributable to the leaching effect of the hydrogen peroxide on the pyrolytic tire char, which removed minerals from the surfaces of the waste tire chars.

    Figure 2.  Scanning electron micrograph of raw tire pyrolytic char and identifying minerals by EDS.
    Figure 3.  Scanning electron micrograph of tire pyrolytic char after 15 min leaching with hydrogen peroxide and identifying minerals by EDS.
    Figure 4.  Scanning electron micrograph of tire pyrolytic char after 1 hr leaching with hydrogen peroxide and identifying minerals by EDS.
    Figure 5.  Scanning electron micrograph of tire pyrolytic char after 2 hr leaching with hydrogen peroxide and identifying minerals by EDS.

    Figure 6 shows the XRD patterns for the raw tire pyrolytic char before and after leaching with hydrogen peroxide at different time intervals. The raw tire pyrolytic char shows diffraction peaks at 2θ = 29°, 34°, 55°, and 66°. These diffraction peaks are associated with the presence of ZnO and ZnS. After leaching experiments for 15 min, 1 hr, and 2 hr, the diffraction peaks associated with ZnO and ZnS disappeared, which can be attributed to the leaching effect of H2O2 causing Zn2+ and SO42- to dissolve in solution from the pyrolytic tire char. A study by [36] evaluated the crystallinity of tire chars prepared under various conditions using microwave pyrolysis. Their study reported that tire pyrolytic char prepared through microwave pyrolysis contains similar diffraction peaks as the raw tire pyrolytic char from this study prior to leaching experiments. This nature of crystallinity was attributed to the presence of Zincite (ZnO) and Wurtzite (α ZnS). The study further reported that reference peaks associated with Zincite (ZnO) at 2θ = 31, 85, 34, 55, 36, 36, 47, 70, 56, 75, 63, 09, 68, 17 and those associated with wurtzite (α ZnS) at 2θ = 26, 81, 28, 41, 30, 42, 39, 47, 47, 36, 51, 58, 56, 16, and 57, 33.

    Figure 6.  XRD patterns for the raw tire pyrolytic char and after leaching with hydrogen peroxide at different time intervals.

    Figure 7A shows the plot of removal efficiency with time at different stirring speeds for the leaching of Zn2+ from tire pyrolytic char. It can be observed from the figure that the removal of Zn2+ increases exponentially until a point of equilibrium is achieved after 60 min, where there is no more significant impact on the leaching rate with the reaction time. An increase in the stirring speed from 0 rpm to 200 rpm results in a corresponding increase in the leaching rate of the ions from the pyrolytic tire char. This behavior can be attributed to effective contact between the tire pyrolytic char and hydrogen peroxide solution used as a solvent. This was similarly observed in the leaching of SO42- from the pyrolytic tire char, as shown in Figure 8A; however, the equilibrium was achieved after a reaction time of 90 min.

    Figure 7.  Conversion X (ppm/ppm) against time (min) on the effect of stirring Speed (A), Temperature (B), Concentration (C), and solid-to-liquid ratio (D) on the leaching of Zn2+ions from tire pyrolytic char.
    Figure 8.  Conversion X (ppm/ppm) against time (min) on the effect of stirring Speed (A), Temperature (B), Concentration (C), and solid-to-liquid ratio (D) on the leaching of SO42- ions from tire pyrolytic char.

    The effect of temperature on the leaching of Zn2+ and SO42- from pyrolytic tire char was investigated in the temperature range of 30 – 75 ℃. Figure 7B shows that the temperature significantly impacts the leaching rate for the Zn2+ ions. The conversion of Zn2+ into solution increased with an increase in the temperature from 30 to 60 ℃ and remained constant. There was a rapid increase in the leaching rate at shorter contact times and gradually decreased at longer contact times. A similar observation was made for the leaching of SO42- as shown in Figure 8B. The increase in the leaching rate of both Zn2+ and SO42- can be attributed to the decrease in the solvent's viscosity, which causes the liquid's diffusion coefficient to increase at higher temperatures. This results in more H+ ions penetrating the inner core of the pyrolytic tire char and facilitating the decomposition of the Zn2+ and SO42- ions into the solution [25].

    The effect of solvent concentration on the leaching of Zn2+ is illustrated in Figure 7C. The figure shows that the leaching of the Zn2+ ions increases with the increasing concentration of hydrogen peroxide solvent. Figure 8C depicts the effect of the solvent concentration on the leaching of SO42- which shows that an increase in the solvent concentration results in an increase in the removal of SO42- from the pyrolytic tire char. The maximum removal percentage for Zn2+ and SO42- achieved from varying the solvent concentration was 95% and 70 %, respectively, at a solvent concentration of 2 M. A similar observation was made by [37] in their study focused on the leaching of rare earth metals from apatite ore. This behavior was said to be due to an insufficient amount of solvent at low concentrations for the liberation of heavy metals from the apatite.

    Figures 7D and 8D depict the effect of solid/liquid ratio on the leaching of Zn2+ and SO42-, respectively, using an H2O2 solvent. Both figures show that an increase in the solid/liquid ratio decreases the leaching rate. This behavior occurs because at low solid/liquid ratios, the concentrations of Zn2+ and SO42- are low on the solid sample and result in high leaching rates. At high solid/liquid ratios, the concentrations of Zn2+ and SO42- are high on the solid sample, and lower leaching rates are achieved compared to a lower solid-liquid ratio. A study by [38] reported that generally using a higher amount of lixiviant leads to increased leaching rates which is in agreement with the findings of this study.

    Heterogeneous reaction systems (fluid-solid systems) are most described by the unreacted shrinking core model [18]. Using the shrinking core model, the reaction rate can be controlled by either one of the following three steps:

    a. Diffusion through the liquid film layer.

    b. Diffusion through the product layer.

    c. A chemical reaction between the fluid reactant with the solid at the surface of the solid particle.

    The rate-controlling step is considered the slowest of the three steps [26]. Diffusion through the liquid film layer can be avoided in this study as the rate-limiting step since the reacting fluid is in liquid form and does not restrict the reactant's transportation to the particle's surface [27]. The diffusion through the product layer and chemical reaction between the fluid reactant with the solid at the surface of the solid particle can be represented as follows in equations (2) and (3), respectively [18,31]:

    1+2(1X)3(1X)2/3=6bDeCAPBR02t=Kdt (2)

    where X is the leaching fraction of Zn2+ or SO42-, Kd is the reaction rate constant (min-1) for the chemical reaction between fluid reactant and solid particle at the surface of the solid particle, b is the stoichiometric coefficient of solid particle, CA is the leaching solvent concentration (mol.dm-3), ρB is the solid reactant molar density (mol.m-3), Ro is the solid particle radius (m), and De is the effective diffusivity of the leaching solvent in the product layer.

    1(1X)1/3=bKsCAPBR0t=Kct (3)

    where X is the leaching fraction of Zn2+ or SO42-, Kc is the reaction rate constant (min-1) for diffusion through the product layer, and Ks is the surface reaction rate constant (m min-1) [18].

    Table 3 below shows the kinetic parameters obtained from the experimental data for the leaching of Zn2+ and SO42- from tire pyrolytic char using H2O2 solution as a solvent. From Table 3, it is evident that the rate-limiting step for the leaching of both Zn2+ and SO42- by H2O2 solvent solution is diffusion through the product layer. The regression coefficients obtained for diffusion through the product layer were closer to 1 than those obtained for the chemical reaction between the fluid reactant with the solid at the surface of the solid particle in the case of Zn2+ and SO42-. Figures 9 and 10 show the linear relationship between 13(1X)2/3+2(1X)vst for Zn2+ and SO42-, respectively, for all the process variables studied in this kinetic study. The rate constants were obtained as the gradient of the plots in Figures 9 and 10 for Zn2+ and SO42-, respectively. From Table 3, it can be concluded that the reaction rate constant Kd increased as the values of the process variables increased, excluding the solid/liquid ratio where the opposite took place.

    Table 3.  Kinetic parameters and constants for leaching of Zn2+ and SO42- from pyrolytic char.
    Product layer diffusion Surface chemical reaction
    Zn2+ SO42- Zn2+ SO42-
    Process Variables Kd (min-1) R2 Kd (min-1) R2 Kc (min-1) R2 Kc (min-1) R2
    Stirring Speed (rpm)
    50 0.0015 0.8966 0.0009 0.9234 0.0027 0.8709 0.0021 0.8731
    100 0.0037 0.9365 0.0013 0.9321 0.0044 0.9052 0.0025 0.8766
    150 0.0048 0.9354 0.002 0.9231 0.0052 0.8838 0.0031 0.8706
    200 0.007 0.9077 0.0023 0.9539 0.0068 0.87 0.0034 0.8948
    Solvent Concentration (M)
    0.5 0.0021 0.6639 0.001 0.9597 0.0034 0.7693 0.0022 0.9052
    1 0.0042 0.7682 0.0013 0.9382 0.0049 0.7572 0.0025 0.8746
    1.5 0.0048 0.8775 0.0019 0.9242 0.0052 0.8359 0.003 0.8647
    2 0.0085 0.8903 0.0026 0.9467 0.0078 0.8585 0.0036 0.8921
    Temperature (℃)
    30 0.001 0.9416 0.0017 0.9824 0.0021 0.9087 0.0028 0.9312
    45 0.0024 0.9733 0.0031 0.9701 0.0037 0.9511 0.004 0.935
    60 0.0033 0.9692 0.001 0.962 0.0041 0.9442 0.0021 0.9275
    75 0.0055 0.9772 0.0014 0.9675 0.0057 0.9584 0.0026 0.9266
    Solid to liquid ratio (g/100 ml)
    0.5 0.004 0.8287 0.0025 0.9315 0.0047 0.8142 0.0035 0.8698
    1 0.0077 0.887 0.0029 0.8919 0.0073 0.8475 0.0039 0.8404
    1.5 0.0076 0.7771 0.0018 0.9136 0.0034 0.8028 0.0029 0.8613
    2 0.0004 0.8365 0.0009 0.9059 0.0013 0.8181 0.002 0.8611

     | Show Table
    DownLoad: CSV
    Figure 9.  Linear relationship showing the difference of 13(1X)2/3+2(1X) with reaction time for different (A) solid-to-liquid ratios, temperatures (B) stirring speeds (C), and solvent concentrations (D) for the leaching of Zn2+.
    Figure 10.  Linear relationship showing the difference of 13(1X)2/3+2(1X) with reaction time for different stirring speeds(A), temperatures (B), concentrations (C), and solid-to-liquid ratios (D) for the leaching of SO42-.

    In heterogeneous reactions, it is crucial to determine the activation energy for the leaching process. It has been reported that high activation energy values greater than 40 kJ/mol suggest that the leaching process is controlled by chemical reaction, while activation energy values between 8 to 21 kJ/mol suggest the product layer diffusion as the rate-controlling step [28]. In cases where the activation energy may be between 25–43 kJ/mol, the process can be controlled by both diffusions through the product layer and chemical reaction [29,30]. The activation energy can be determined by plotting a plot of -ln(Kd) versus I/T, which originates from the following Arrhenius equation [26,27]:

    k=k0eEaRT (4)

    Where k is the rate constant, k0 is the frequency factor, Ea is the apparent activation energy, R is the universal gas constant (J.mol-1.K-1), and T is the temperature of the process (K). Figure 11 (A) and (B) display the Arrhenius plot for the leaching of Zn2+ and SO42-. Applying the Arrhenius equation, the apparent activation energy values for the leaching of Zn2+ and SO42- were calculated to be 36 kJ.mol-1 and -11 kJ.mol-1, respectively. The results suggest that the leaching of Zn2+ is controlled by a combination of product layer diffusion and chemical reaction. In contrast, the leaching of SO42- is controlled by diffusion through the product layer [29,30]. Values of the frequency factor for the leaching of Zn2+ and SO42- were obtained as the Y-intercept in Figure 11 as 724.95 and 3.4e-05, respectively.

    Figure 11.  Arrhenius plot for the leaching of Zn2+ ions (A) and SO42- ions (B).

    A semi-empirical model is an essential tool for correlating the experimental data for the leaching process [26]. It determines the effects of the process variables influencing the leaching process. The variables studied in this work include stirring speed, solvent concentration, temperature, and the solid-to-liquid ratio [25]. The following expression can represent a semi-empirical model:

    Kd=KoNaCb(SL)ce(Ea/RT)t (5)

    Combining Eqs. (2) and (5) establish the following relation:

    13(1X)2/3+2(1X)=KoNaCb(SL)ce(Ea/RT)t (6)

    N, C, and (S/L) represent the stirring speed, solvent concentration, and solid-to-liquid ratio. Ko is the frequency factor obtained from the Arrhenius Plot, and the constants a, b, and c represent the reaction orders. The reaction order a, for stirring Speed (N), was obtained from the gradient of the plot of lnkd versus lnN. Values of the reaction orders b and c were obtained similarly through the gradients of the plots of lnkd versus lnC and lnkd versus ln(S/L), respectively. Figures 12 and 13 show the variation of -lnkd with -lnN, -lnC, and ln(S/L) for the leaching of Zn2+ and SO42-, respectively. The values of the reaction orders for stirring Speed (N), solvent concentration (C), and solid-to-liquid ratio were obtained to be 0.9103, 1.0187, and 0.3654, respectively, for the leaching of Zn2+. The values of the reaction orders for stirring speed (N), solvent concentration (C), and solid-to-liquid ratio were obtained to be 1.3935, 1.3872, and 1.1479, respectively, for the leaching of SO42-.

    Figure 12.  Variation of -lnKd with -lnN (A), -lnC (B), and ln(S/L) (C) for the leaching of Zn2+.

    The values for the frequency factor were obtained from the Arrhenius Plot as 724.95 and 3.4e-5, respectively, for the leaching of Zn2+ and SO42-. By substituting all the leaching variables into Eq.5, the semi-empirical models represented in Eqs. 7 and 8 were obtained, which can be used to represent the leaching of Zn2+ and SO42- from tire pyrolytic char using an H2O2 solvent.

    13(1X)2/3+2(1X)=203.24N0.9103C1.0187(SL)0.3654e(36000/RT)t (7)
    13(1X)2/3+2(1X)=5e5N1.3935C1.3872(SL)1.1479e(11000/RT)t (8)

    We present the study of the leaching behavior of Zn2+ and SO42- from tire pyrolytic char (TPO) using a solution of H2O2 as a solvent. We aimed to characterize the pyrolytic tire char before and after leaching and compare the samples. The results obtained from different characterization techniques, including FTIR, SEM-EDS, and XRD, show that leaching of the tire pyrolytic char using H2O2 significantly affected the char's characteristics. Leaching studies were done to determine the effect of various process variables on the leaching rate of Zn2+ and SO42-. The results showed that the process variables significantly affected Zn2+ and SO42-leaching rates. The highest leaching percentages for Zn2+ and SO42- were 96 % and 79 %, respectively. Using the experimental data, the shrinking core model showed that product layer diffusion was the rate-limiting step for both the leaching of Zn2+ and SO42-. The apparent activation energies obtained for the leaching of Zn2+ show that the process is controlled by a combination of product layer diffusion and chemical reaction. For the leaching of SO42-, the activation energy obtained confirmed that the rate-limiting step followed product layer diffusion. Semi-empirical models for the leaching of Zn2+ and SO42- were developed to describe the leaching processes.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors would like to thank the Vaal University of Technology, Department of Chemical and Metallurgical Engineering for the VUT-COCA (Chemicals Consulting (Pty) Ltd) partnership, benefiting the DTI-THRIP (Technology and Human Resources for Industry Program) financial support.

    The authors declare that there is no conflict of interest.



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