1. Introduction
The generation of solid waste is directly related to the way of life, population growth and consumption patterns and is, without a doubt, one of the greatest challenges that governments have faced. According to [
1], in 2011, cities around the world generated 1.3 billion tons of solid waste annually, a volume that is expected to reach 2.2 billion tons by 2025. It is estimated that municipalities that are part of developing countries currently spend 20 to 50% of their budgets on the management and disposal of solid waste, with little or no value derived from them [
2].
The impacts of unmanaged urban solid waste go beyond cities, affecting ecosystems such as the oceans, where millions of tons of plastic were discarded in 2010, according to [
3]. In 2022, Brazil generated 77.1 million tons of urban solid waste (MSW), collecting 71.72 million tons. Of these, 43.8 million were sent to landfills, and 27.97 million were inappropriately disposed of. Recycling activities processed 1.12 million tons, and composting 127.5 thousand tons, but these numbers are still insufficient compared to other countries, resulting in significant financial losses for the efficient management of MSW.
In 2021, the Northern Region of Brazil generated around 35.8% (approximately 1,773,927 tons/year) of Municipal Solid Waste (MSW) with adequate disposal, while 64.4% (around 3,209,013 tons/year) year) were allocated inappropriately [
4]. A gradual increase in the amount of solid waste leads to several problems in transporting, storing and disposing of this waste and makes efficient solid waste management complicated [
5]. According to Sustainable Development Goal 11 (SDG 11) [
6], adequate management of urban waste is critically significant for advancing sustainability and ensuring the preservation of natural resources for future generations [
7].
MSW has great economic potential [
8] and the efficiency of waste management systems affects the potential economic value of MSW. Solid waste is heterogeneous and may be made up of elements that are difficult to degrade/treat and assimilate into the environment, causing risks to environmental protection and consequences for public health [
9,
10]. However, until adequate disposal and treatment of solid waste is given, other steps are necessary, following applicable guidelines through the development of solid waste management systems [
11]. To implement an efficient integrated MSW system, it is necessary to know the per capita generation and its gravimetric composition, which has attracted the attention of researchers in recent years such as [
12,
13,
14], who are focused on the sectorization of waste collection routes, gravimetric characterization and energy valuation of the technological route for MSW treatment [
5].
Several research indicate that the generation of urban solid waste (MSW) is influenced by socioeconomic class, as per studies by the authors [
15,
16,
17]. Higher class regions produce more waste, with greater diversity and quantity of recyclable materials, while lower class areas generate less waste, with organic materials predominating. Waste disposal and treatment are more efficient in higher-income regions, while inadequate management in lower-income areas can worsen environmental and public health problems [
18,
19].
Carneiro [
20] stood out as one of the pioneers in exploring the economic potential of MSW generated in the municipalities of Belém, which will host COP 30 in 2025, and Ananindeua in the state of Pará/Brazil. Their research allowed the identification of an average change of 13% in the amount of recycled material between 2000 and 2006, influenced by the social profile of the population Silva et al. [
12]. These significant contributions provide valuable insights for the development of comprehensive strategies in integrated MSW management, considering economic, environmental and social aspects [
21]. Due to the problems associated with the treatment and final disposal of solid waste, alternatives and proposals have been studied and applied in several countries. Among the alternatives are thermochemical technologies that involve the treatment of MSW before they are disposed of in landfills, and are divided into three technologies, combustion, gasification and pyrolysis. Among them, pyrolysis is a process of thermal conversion of biomass into energy, where in an inert environment, the possibility of producing chemical species and products with greater added value, make this process an attractive option given current initiatives in the search for new sources of renewable energy. It can be defined as the process of thermal decomposition of biomass in the absence of oxygen, in the presence (catalytic) or absence of catalyst (thermal) and has the capacity to convert MSW into three by-products, namely, organic fraction (bio-oil and water), biochar (biochar) and biogas (non-condensable gases) [
22,
23,
24,
25,
26]. The proportions of by-products depend on the type of pyrolysis used which, in turn, varies according to the operational process variables used such as reaction temperature, heating rate and residence time of vapors inside the reactor. [
27].
The main objective of MSW pyrolysis is to recover energy, since the products resulting from a pyrolysis process have, in most cases, properties similar to those of fuels. The pyrolysis process has the potential to convert municipal solid waste (MSW) into a usable source of energy for homes, as pointed out by [
28]. Furthermore, the energy products generated during pyrolysis can be used to optimize the operational efficiency of larger-scale plants that use this technology.
The composition and properties of oils and biochars obtained through pyrolysis can make them suitable as raw materials for various industrial sectors. Considering the heterogeneous nature of municipal solid waste (MSW) and the variation in its composition according to location, this section offers a brief overview of the products resulting from MSW pyrolysis. This also allows you to distinguish between the different types of products generated by the process. MSW contains a significant proportion of organic waste, mainly composed of food waste, wood and garden waste. Food waste contains several carbon-rich substances, which makes it a valuable source for fuel production [
29].
The pyrolysis of different types of organic waste has been widely studied and documented in the literature by several researchers, including [
30,
31,
32,
33,
34,
35,
36]. Furthermore, other studies have specifically focused on the pyrolysis of solid waste, such as paper fraction, as investigated by [
37,
38,
39,
40,
41,
42,
43,
44,
45,
46]. Municipal solid waste generated in homes is generally stored in a single location. In many cases, municipal authorities carry out collection without separating the different components present in MSW. Therefore, it is essential to develop a pyrolysis process capable of treating mixed MSW. Wastes whose composition resembles the organic fraction are the most suitable for pyrolysis experiments, contributing to a better understanding of the real composition and yield of the products generated. Due to the complexity of this organic fraction, most pyrolysis studies have focused on individual components. However, MSW components do not act independently during the pyrolysis process, making it crucial to examine the actual behavior of mixed MSW. Several researchers have studied the pyrolysis of MSW, combining several fractions to better understand this behavior, among them [
47,
48,
49,
50,
51,
52,
53,
54,
55].
Some authors have investigated pyrolysis and thermal-catalytic cracking of MSW, such as flash pyrolysis [
56,
57,
58,
59], as well as fixed bed reactors [
50,
60,
61,
62,
63,
66,
67], and fluidized bed reactors [
64], and experiments were carried out on micro [
70], laboratory [
57,
58,
59,
65,
66,
67,
68,
71,
72] and pilot [
60]. The largest number of research studies on catalysts focuses on zeolites [
69], which are acid catalysts, they form products mainly in the gasoline range, as seen in [
70]. The basic ones are widely used in reactions to obtain biofuels due to the high levels of conversion achieved in this process, with most molecules remaining in the boiling range of diesel fuel, allowing reaction rates to be obtained higher than those obtained with the same number of catalysts in the acid process [
71]. Among the basic catalysts used in the pyrolysis of MSW fractions are CaO studies [
58]; calcined calcite (CaO) [
59], calcium hydroxide CaOH
2 [
80] and calcined dolomite (MgO.CaO) [
59,
72].
It is important to highlight that catalytic pyrolysis is one of the most important processes in the refining industry, especially when it comes to the process of obtaining better quality gasoline and higher octane (through the optimization of aromatic and olefin contents [
22,
23,
24,
25,
26]. To date, no research has investigated the effect of temperature and percentage of CaOH2-type catalyst for the MSW fraction (organic matter and paper) and its implications on the morphology of biochar. and in the crystalline structure, as well as in the yield of reaction products, chemical composition and acidity of bio-oils obtained by pyrolysis and catalytic pyrolysis, in different socioeconomic regions in the same municipality.
Considering the great impact caused by waste, it is essential to have a broad discussion on its treatment and destination, addressing technological, economic and environmental aspects, taking into account the various existing technological alternatives and considering, above all, regionalities. of each location, the economic valorization of materials and their energy valorization when feasible. Thus, based on the scenario presented and aiming to contribute to the development of technology to promote the sustainability of the MSW treatment sector, in summary, the work proposes to investigate an alternative use of Urban Solid Waste (MSW), through pyrolysis, with the production of materials of commercial interest, as opposed to conventional forms of disposal.
2. Materials and Methods
For the development of the research, the methodological procedures were structured in stages in order to investigate all relevant points of the proposal, according to the flowchart presented in
Figure 1. The beginning of the development of the experimental research was carried out in 2021 .
This research adopted the methodology of collection, transportation, segregation, treatment and disposal of urban solid waste from research by [
73,
74], in which the study area defined was the 21 neighborhoods of the municipality of Belém/Pará, in which the provision of solid waste collection services is carried out by the company TERRAPLENA LTDA, responsible for Lot 1, as described in the Belém Municipal Basic Sanitation Plan [
75],
Figure 2. Understanding the specific context of basic sanitation conditions in this region is essential, considering that the area covers a significant part of the city and has 37 itineraries (routes), reflecting the extent of the compan
y’s coverage in providing services related to basic sanitation, such as solid waste collection, water and sewage treatment, earthmoving, among others. This information is valuable for evaluating the efficiency and scope of sanitation services in the region, as well as for identifying challenges or areas that require improvement. Considering the socioeconomic diversity of neighborhoods is fundamental, as it directly impacts the demands and needs of the population in relation to basic sanitation services. By analyzing this distribution, it is possible to direct public policies and investments more effectively, with the aim of improving the living and health conditions of local communities. This strategic approach allows for a more precise allocation of resources, meeting the specific needs of each demographic group and promoting an equitable distribution of the benefits of basic sanitation.
To carry out a comprehensive characterization of urban solid waste (MSW) in the 21 neighborhoods served by the company TERRAPLENA LTDA, a detailed and viable work plan was developed, consisting of several stages that included quantitative and qualitative analyzes of waste. Initially, neighborhood visits were carried out to understand the waste flow and determine the volume to be collected. Then, samples of the newly deposited waste were collected and transported to specific locations, where the gravimetric composition was determined. Subsequently, the samples were prepared for detailed laboratory analysis. This comprehensive plan provided an in-depth understanding of the nature and quantity of waste in each neighborhood, establishing a solid foundation for developing future waste management strategies. During the on-site visits, considering the number of itineraries and the coverage area, as well as the economic similarity between some neighborhoods, the 37 itineraries were grouped into nine sectors (
Figure 3). These sectors were defined based on socioeconomic characteristics and geographic proximity, facilitating the execution of gravimetric analysis campaigns throughout the collection and transport area operated by TERRAPLENA in the municipality of Belém.
The neighborhoods were categorized according to family income, using a methodology adapted from the IBGE guidelines [
76] (
Table 1). This methodology classifies the Brazilian population into five classes (A, B, C, D and E), with the minimum wage as a reference. It is worth noting that, in the municipality of Belém, there are no neighborhoods classified in classes A and B. The majority of neighborhoods, approximately 61%, are classified in class E.
With the organization of sectors, we were able to establish the formation of regions which represent larger areas. These regions were considered as units for sampling solid waste intended for laboratory analysis. Thus, we determined the composition of three regions, as shown in
Table 2.
2.1. Gravimetric Composition of Urban Solid Waste
To determine the gravimetric composition of the waste, STATIDISK 13.0 software was used to calculate the required volume of samples. Considering the capacity of the collection truck (15m³ per route), a significance level of 5%, a confidence level of 95% and a margin of error of 10% were adopted. The simulation resulted in a sample mass of approximately 100 kg, ensuring accurate and reliable waste analysis. The choice of parameters reflects the concern with the statistical validity of the results, according to Assunção et al. [
73].
The gravimetric analysis of solid waste was divided into fractions such as Paper, Cardboard, Tetrapak, Rigid Plastic, Malleable Plastic, Glass, Metal, Organic Matter, Textiles, Sanitary Waste and Others, being essential to understand in detail the composition of the waste generated. This method provides a more specific analysis than broad characterizations, associating each fraction with different waste sources and implications for waste management. The process begins with measuring the total mass of waste to ensure the representativeness of the sample, following a detailed methodology such as that of Assunção et al. [
73].
Solid waste collection took place from November 2021 to May 2022, using the door-to-door method at various points in the city of Belém. The activities were planned to cover an extensive urban area. This method ensures that waste is collected in conditions similar to those in which it was generated, preserving its original composition, including the degree of humidity. The waste was sent to a space at the Federal University of Pará, where gravimetric characterization was carried out immediately after its arrival. In collections carried out at night, characterization took place the following morning. Collections followed the schedule of TERRAPLENA’s internal routes, being carried out on Mondays, Wednesdays and Fridays, in the morning. The sampling process was conducted in accordance with ABNT Solid Waste Sampling guidelines [
77].
Samples were collected in plastic bags with a capacity of 200 kg, at random points along the route of the solid waste compactor truck, demonstrating careful planning to obtain representative data on the composition of household waste. Sampling at random points is crucial to avoid collection bias by ensuring that data reflects a variety of conditions along the route. Prioritizing residential locations contributes to capturing a wide range of household waste, essential for understanding disposal practices and guiding waste management in these contexts [
78].
Subsequently, the material was transported to the Sludge and Composting experiment area at UFPA, a flat, moisture-free area of 100 m². The waste was weighed and placed on a surface waterproofed by 6 x 6 m tarpaulins. Then, the waste was segregated and manually classified into different fractions: Paper, Cardboard, Tetrapak, Rigid Plastic, Malleable Plastic, Glass, Metal, Organic Matter, Fabrics, Sanitary Waste and Rejects/Others. Each fraction was weighed using a digital scale (Welmy, São Paulo-Brazil, Model: W200/50).
Pré-Tratamento das Amostras e Determinações Laboratoriais
Municipal solid waste (MSW), due to inadequate disposal and exposure to the environment, had a high moisture content, damaging the pyrolysis process. To remedy this, the organic fraction underwent a drying process in a thermal oven with air recirculation and analog temperature control (Model De Leo Ltd.a, 127V), at 105°C, for 24 hours. After drying, the MSW was crushed using a TRAPP TRF 600 model knife mill, using sieves of different diameters (0.8 mm for the organic fraction and 5 mm for the others). The crushed material was measured on a scale model WELMY CLASS 3 W200/S (maximum capacity of 200 kg and minimum precision of 1.0 kg). The separation of the crushed material was carried out using a PRODUTEST Telastem sifting system for analyzes LTDA. Finally, the pretreated organic fraction was stored in a freezer at 0°C to avoid physicochemical and microbiological degradation.
2.2. Experimental Procedure
2.2.1. Pyrolysis Process Experimental Apparatus
The laboratory-scale pyrolysis unit is composed of a cylindrical-shaped borosilicate reactor, with a volumetric capacity of approximately 200 ml. This reactor is inserted into a cylindrical furnace equipped with a collar-type ceramic resistance, with a power of 800 W. The resistance is connected to a digital temperature and heating rate controller (THERMA, model TH90DP202-000), which has a sensor type K temperature sensor (Ecil, model QK.2), as described in detail by Assunção et al. [
73] and De Castro et al. [
79].
Figures 4 illustrates the description of the pyrolysis laboratory unit.
2.2.2. Experimental procedures
In the laboratory scale investigation, thermal and catalytic pyrolysis experiments were carried out to verify the influence of variations in catalyst percentage on the yields and characteristics of the products obtained, at temperatures of 400°C, 450°C and 475°C, aiming to evaluate the influence of process parameters, yield and characteristics of the products obtained, all carried out at a heating rate of 10° C/min.
Table 3 shows the experimental conditions used in the pyrolysis processes of urban solid waste (organic fraction and paper), in the absence and presence of Ca(OH)
2 catalyst.
The experiments were carried out in semi-continuous mode, at temperatures of 450°C and 475°C at 1.0 atm, with 10% Ca(OH)2 catalyst, in order to evaluate the influence of this final temperature variation on the yield. and the physical-chemical characteristics of the liquid product obtained (bio-oil). The masses of the MSW fractions (organic and paper) were initially weighed on a semi-analytical balance (QUIMIS, Q—500L210C), being approximately 40 g for the thermal experiments and 30 g for the catalytic pyrolysis.
Then, the samples were placed in the 200 mL borosilicate glass reactor, which was inserted into the jacketed cylindrical furnace. Using the temperature control system, the reaction time, heating rate and final process temperature (set-point) were programmed based on Equation 3, resulting in different process times for each pre-defined temperature. A time of 10 minutes was established to keep each final operating temperature constant. The experimental apparatus was assembled by connecting the cooling condenser to the reactor, with the refrigerator fluid maintained at 20°C. From room temperature (25°C), the slow pyrolysis process began with a heating rate of 10°C/min, monitoring and collecting the operational parameters of the process, such as elevation temperature (heating ramp), time and temperature of product formation.
2.5. Physicochemical and Chemical Composition of Bio-Oil
2.5.1. Physicochemical Characterization of Bio-Oil and Aqueous Phase
The bio-oil and the aqueous phase were characterized for acidity according to the AOCS Cd 3d-63 method. As described in Almeida et al.[
25], Castro et al.[
79].
2.5.2. Chemical Composition of Bio-Oil and Aqueous Phase
The chemical composition of the bio-oil and the aqueous phase were determined by GC-MS and the equipment and procedure described in detail by Almeida et al. [
25], Castro et al. [
79]. Concentrations were expressed in area, as no internal standard was injected to compare peak areas. Absorption spectra in the infrared (IR) region were obtained with an FTIR spectrometer (Shimadzu, Model: Prestige 21). The liquid samples were added between the KBr plates using pipettes and the plates were mounted with light pressure on the liquid, aiming to guarantee the uniformity of the film formed. The spectrum resolution was 16 cm
-1 and the scanning range was 400 to 4000 cm-1. NMR spectra were obtained on a VARIAN spectrometer (model UNITY 300, 300 MHz), using deuterated chloroform as solvent and TMS as internal reference. To acquire hydrogen data, the following parameters were used: number of transients (nt) 128, pulse width (pw) 7.16 µs and relaxation time (d1) 1.666 s. For carbon data, the parameters used were: number of transients (nt) 3940, pulse width (pw) 8.7 µs and relaxation time (d1) 0 s.
2.6. Characterization of Biochar
2.6.1. SEM and EDS Analysis
The morphological characterization of the biochars, obtained by thermal pyrolysis and catalytic pyrolysis with the addition of 10.0% by mass of the Ca(OH)2 catalyst to organic matter and paper, was carried out using scanning electron microscopy. A Vega 3 model microscope (Tescan GmbH, Czech Republic), available at the Scanning Electron Microscopy Laboratory of the Military Institute of Engineering (LME-IME), was used. The magnifications used were 500x, 1.0 kx and 5.0 kx. Samples were covered with a thin layer of gold using a Sputter Coater (Leica Biosystems, Nußloch, Germany, Model: Bal-zers SCD 050). Elemental analysis and mapping were performed by energy dispersive X-ray spectroscopy (Oxford instruments, Abingdon, UK, Model: Aztec 4.3).
2.6.2. X-ray Diffraction Analysis (XRD)
The crystallographic characterization of biochars obtained by thermal and catalytic pyrolysis with 10.0% (by mass) of Ca(OH)2) of organic matter and paper was carried out by X-ray diffraction with an X’Pert Pro diffractometer from the manufacturer PANalytical Empyrean, in the laboratory -river of the Military Institute of Engineering. The following analysis conditions were used: scanning range from 10° to 90°, with a pass of 0.05° and time of 150 seconds, using a cobalt tube, power of 40 kv and current of 40 mA.
2.7. Yields from Bench-Scale Thermal and Catalytic Pyrolysis Experiments
The yield of condensable liquid products, including oily, aqueous and other phases, as well as carbonaceous materials formed (cokes), was calculated in percentage terms in relation to the initial mass of the sample inserted into the reactor (MSW or MSW + catalyst) in each experiment carried out on a bench scale. The yield of non-condensable gas phases was determined by difference, considering the total yield of 100%. The yields of the products obtained were determined by Equations 1, 2 and 3. The performance of the process was evaluated by calculating the yields of bio-oil, solid (bio-char) and gas, as defined by Equations (1) and (2), with the yield of gas determined by difference, using Equation (3).
5. Conclusions
The thermal and catalytic pyrolysis resulted in a biochar with porous morphology and enriched with calcium compounds, as evidenced by SEM analysis. Although carbonization is partial, the porous properties and the presence of calcium particles make biochar promising for applications in environmental remediation, such as the adsorption of heavy metals and the neutralization of acids. However, the structural fragility and heterogeneous distribution of the catalyst can limit its efficiency under certain conditions. To optimize the use of this biochar, it would be important to consider adjustments to the pyrolysis process or a higher temperature to increase complete carbonization and improve the uniformity of the material.
In relation to XRD, catalytic pyrolysis with Ca(OH)₂ resulted in the formation of crystalline inorganic compounds, such as quartz, sylvite and calcite. The carbon in the organic fraction of MSW is predominantly in amorphous form, which is characteristic of biochars produced at moderate temperatures. The presence of quartz confirms the contamination of the MSW by mineral materials (sand), while sil-vita and calcite indicate the interaction of Ca(OH)₂ with the components present in the waste during the process. This suggests that the pyrolysis process was efficient in transforming organic matter and paper into biochar, while the minerals present can influence the properties of the final product.
The socioeconomic profile of the regions has a direct influence on the composition of urban solid waste, impacting the yields of pyrolysis by-products. In regions with lower income, the greater fraction of organic waste favors the production of bio-oil. In regions with higher income, where waste is less organic, there is an increase in biochar production. Temperature is another crucial factor in the distribution of pyrolysis products. The balance between biochar and bio-oil production occurs at around 450 °C. Lower temperatures tend to favor the formation of biochar, while higher temperatures promote greater yields of bio-oil and synthesis gas.
The addition of Ca(OH)₂ as a catalyst was more effective at higher temperatures (475 °C), where it contributed to increasing the bio-oil yield by intensifying the secondary pyrolysis of volatile compounds. The choice of temperature and catalyst is, therefore, crucial to optimize bio-oil production in the pyrolysis process.
The addition of Ca(OH)₂ in catalytic pyrolysis not only reduces the acidity index of the bio-oil and the aqueous phase, but also promotes deoxygenation, improving the quality of the bio-oil. These effects make the catalytic process essential for obtaining bio-oils with properties more favorable for use as fuel, reducing corrosion problems and increasing product stability.
The FT-IR spectrum confirms the presence of saturated and unsaturated hydrocarbons, in addition to carboxylic groups, which indicate the formation of compounds typical of the thermal decomposition of organic waste and paper.
The presence of aromatic groups and carboxylic acid salts also suggests that the bio-oil contains a complex mixture of organic compounds, many of which can be useful as fuels, but whose acidity may need additional treatment to avoid corrosion problems in practical applications.
The use of catalysts, such as Ca(OH)₂, appears to influence the formation of carboxylates and neutralize part of the acids formed, improving the final quality of the bio-oil. The NMR identified the presence of saturated and unsaturated hydrocarbons suggesting that the bio-oil has the potential to be used as a fuel source, with aliphatic and olefinic components suitable for this purpose.
The GC-MS analysis of bio-oils obtained by pyrolysis of urban solid waste (MSW) reveals that the application of the Ca(OH)₂ catalyst favored the formation of hydrocarbons, regardless of the temperature (400°C, 450°C , 475°C) and the socioeconomic classification of the regions studied. An increase in the concentration of hydrocarbons and a significant reduction in oxygenated, nitrogenous and chlorinated compounds was observed, which are less desirable due to their lower energy efficiency and corrosion problems.
Furthermore, the variation between the chemical compositions of different regions was less than 4%, suggesting that the socioeconomic classification has little impact on the quality of the bio-oil when using the catalyst. The major compounds identified, such as benzene, d-limonene, fatty acids and esters, can be applied in the chemical, petrochemical and fuel industries, reinforcing the economic value of bio-oils. In conclusion, the addition of Ca(OH)₂ is beneficial to the pyrolysis process, improving the production of hydrocarbons and minimizing unwanted compounds, regardless of the socioeconomic origin of the MSW.
Author Contributions
The individual contributions of all the co-authors are provided as follows: F.P.d.C.A. contributed with formal analysis and writing original draft preparation, investigation and methodology, J.C.C.d.S. contributed with formal analysis, investigation and methodology, F.F.S.A. contributed with formal analysis, investigation and methodology, S.P.A.d.S. contributed with formal analysis, investigation and methodology, M.C.S. contributed with investigation and methodology, D.A.R.d.C. contributed with investigation and methodology, J.F.H.F. contributed with investigation and methodology, N.M.M. contributed with investigation and methodology, M.S.C.d.N. contributed with investigation and methodology, J.A.R.P. contributed with resources, chemical analysis, A.C.P.A. contributed with SIG analysis,L.E.P.B. with co-supervision, and resources, J.A.R.P. contributed with supervision, conceptualization, and data curation, and N.T.M. contributed with supervision, conceptualization, and data curation. All authors have read and agreed to the published version of the manuscript.
Figure 1.
Methodological scheme adopted in the research.
Figure 1.
Methodological scheme adopted in the research.
Figure 2.
Sectorization Map of Neighborhoods belonging to Lot 1.
Figure 2.
Sectorization Map of Neighborhoods belonging to Lot 1.
Figure 3.
Grouping of neighborhoods into sectors based on socioeconomic classification and geographic proximity.
Figure 3.
Grouping of neighborhoods into sectors based on socioeconomic classification and geographic proximity.
Figure 4.
Schema of laboratory scale borosilicate glass reactor.
Figure 4.
Schema of laboratory scale borosilicate glass reactor.
Figure 5.
SEM of biochar obtained by thermal pyrolysis of the fraction (organic matter and paper) of MSW at 450°C (a) Region 1 (b) Region 2 (c) Region 3, 1.0 atmosphere [MAG: 500 x and 1.0 kx ].
Figure 5.
SEM of biochar obtained by thermal pyrolysis of the fraction (organic matter and paper) of MSW at 450°C (a) Region 1 (b) Region 2 (c) Region 3, 1.0 atmosphere [MAG: 500 x and 1.0 kx ].
Figure 6.
SEM of biochar obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 400°C 10.0% (wt.) Ca(OH)2 1.0 atmosphere (d) Region 1 (e) Region 2 (f) Region 3, with [MAG: 1.0 kx].
Figure 6.
SEM of biochar obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 400°C 10.0% (wt.) Ca(OH)2 1.0 atmosphere (d) Region 1 (e) Region 2 (f) Region 3, with [MAG: 1.0 kx].
Figure 7.
SEM of biochar obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 475°C 10.0% (wt.) Ca(OH)2 1.0 atmosphere (g) Region 1 (h) Region 2 (i) Region 3, with [MAG: 1.0 kx and 5.0 kx].
Figure 7.
SEM of biochar obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 475°C 10.0% (wt.) Ca(OH)2 1.0 atmosphere (g) Region 1 (h) Region 2 (i) Region 3, with [MAG: 1.0 kx and 5.0 kx].
Figure 8.
Morphology of biochar obtained by thermal pyrolysis of the fraction (organic matter and paper) of MSW at 450°C (a) Region 1 and EDS results.
Figure 8.
Morphology of biochar obtained by thermal pyrolysis of the fraction (organic matter and paper) of MSW at 450°C (a) Region 1 and EDS results.
Figure 9.
XRD of solid phase products by pyrolysis of the fraction (organic matter and paper) of MSW at 450°C and 1.0 atmosphere, using a 125 mL borosilicate glass reactor, on a laboratory scale, in different socioeconomic regions.
Figure 9.
XRD of solid phase products by pyrolysis of the fraction (organic matter and paper) of MSW at 450°C and 1.0 atmosphere, using a 125 mL borosilicate glass reactor, on a laboratory scale, in different socioeconomic regions.
Figure 10.
XRD of solid phase products by pyrolysis of the fraction (organic matter and paper) of MSW at 400°C and 1.0 atmosphere, with 10% (by mass) of CaOH2 using a 125 mL borosilicate glass reactor, on a laboratory scale, in different socioeconomic regions.
Figure 10.
XRD of solid phase products by pyrolysis of the fraction (organic matter and paper) of MSW at 400°C and 1.0 atmosphere, with 10% (by mass) of CaOH2 using a 125 mL borosilicate glass reactor, on a laboratory scale, in different socioeconomic regions.
Figure 11.
XRD of solid phase products by pyrolysis of the fraction (organic matter and paper) of MSW at 475°C and 1.0 atmosphere, with 10% (by mass) of CaOH2 using a 125 mL borosilicate glass reactor, on a laboratory scale, in different socioeconomic regions.
Figure 11.
XRD of solid phase products by pyrolysis of the fraction (organic matter and paper) of MSW at 475°C and 1.0 atmosphere, with 10% (by mass) of CaOH2 using a 125 mL borosilicate glass reactor, on a laboratory scale, in different socioeconomic regions.
Figure 12.
Pyrolysis process formation products.
Figure 12.
Pyrolysis process formation products.
Figure 13.
Effect of pyrolysis temperature on the yields of reaction products (bio-oil, aqueous phase, biochar and gas) by pyrolysis of the MSW fraction (organic matter and paper).
Figure 13.
Effect of pyrolysis temperature on the yields of reaction products (bio-oil, aqueous phase, biochar and gas) by pyrolysis of the MSW fraction (organic matter and paper).
Figure 14.
FT-IR of bio-oil obtained by pyrolysis of the MSW fraction (organic matter and paper) at 450 °C and catalytic 10% (by mass) at 400 °C and 475 °C, 1.0 atmosphere, on laboratory scale, for Socioeconomic Region 1.
Figure 14.
FT-IR of bio-oil obtained by pyrolysis of the MSW fraction (organic matter and paper) at 450 °C and catalytic 10% (by mass) at 400 °C and 475 °C, 1.0 atmosphere, on laboratory scale, for Socioeconomic Region 1.
Figure 16.
Chemical composition, expressed in hydrocarbons, oxygenated and nitrogenous bio-oils obtained by thermal pyrolysis at 450°C and catalytic pyrolysis of the MSW fraction at 400 and 475°C, 1.0 atm, 10.0% (by mass ) of Ca(OH)2 on a laboratory scale.
Figure 16.
Chemical composition, expressed in hydrocarbons, oxygenated and nitrogenous bio-oils obtained by thermal pyrolysis at 450°C and catalytic pyrolysis of the MSW fraction at 400 and 475°C, 1.0 atm, 10.0% (by mass ) of Ca(OH)2 on a laboratory scale.
Table 1.
Socio-economic classification in the municipality of Belém-Pará-Brazil based on minimum salary [
76].
Table 1.
Socio-economic classification in the municipality of Belém-Pará-Brazil based on minimum salary [
76].
Socio-economic Classification |
Classes |
Family Income (Minimum/Basic Salary) |
A |
over 20 salaries |
B |
from 10 to 20 salaries |
C |
from 10 to 20 salaries |
D |
from 10 to 20 salaries |
E |
up to 02 salaries |
Table 2.
Determination of the grouping of sectors into regions.
Table 2.
Determination of the grouping of sectors into regions.
Region |
Sectors |
Neighborhoods |
1 |
1, 2 e 3 |
Aurá, Águas Lindas, Curió-Utinga, Guanabara, Castanheira, Souza e Marco |
2 |
4,5 e 6 |
Canudos, Terra Firme, Guamá, Condor, Jurunas e Fátima |
3 |
7,8 e 9 |
Umarizal, São Brás, Cremação, Batista Campos, Nazaré, Reduto, Campina e Cidade Velha |
Table 3.
Thermal and catalytic pyrolysis experiments on the laboratory scale.
Table 3.
Thermal and catalytic pyrolysis experiments on the laboratory scale.
Experiments |
Material
|
Catalyst mass Ca(OH)2 (%) |
Temperature (°C) |
Retention Time (min.) |
Region 1 (1) |
F.O + Paper |
0 |
450 |
1h 20 |
Region 1 (2) |
F. O+ Paper |
0 |
450 |
1h 20 |
Region 1 (3) |
F.O.+ Paper |
0 |
450 |
1h 20 |
Region 2 (4) |
F.O.+ Paper |
10 |
400 |
1h 20 |
Region 2 (5) |
F.O.+ Paper |
10 |
400 |
1h 20 |
Region 2 (6) |
F.O.+ Paper |
10 |
400 |
1h 20 |
Region 3 (7) |
F.O.+ Paper |
10 |
475 |
1h20 |
Region 3 (8) |
F.O.+ Paper |
10 |
475 |
1h20 |
Region 3 (9) |
F.O.+ Paper |
10 |
475 |
1h20 |
Table 4.
Mass percentages and atomic mass of biochars obtained by pyrolysis of the fraction (organic matter and paper) of MSW at 450 °C, 1.0 atmosphere on laboratory scale.
Table 4.
Mass percentages and atomic mass of biochars obtained by pyrolysis of the fraction (organic matter and paper) of MSW at 450 °C, 1.0 atmosphere on laboratory scale.
Pirolysis |
Chemical Elements |
(R1) 450°C |
(R2) 450°C |
(R3) 450°C |
Mass [wt.%] |
SD |
Mass [wt.%] |
SD |
Mass [wt.%] |
SD |
C |
70.0 |
0.2 |
60.4 |
0.1 |
62.0 |
0.2 |
O |
13.6 |
0.1 |
26.3 |
0.1 |
22.2 |
0.2 |
K |
6.7 |
0.0 |
1.6 |
0.0 |
2.5 |
0.0 |
Cl |
5.5 |
0.0 |
1.6 |
0.0 |
3.0 |
0.0 |
Ca |
1.5 |
0.0 |
8.4 |
0.0 |
7.2 |
0.0 |
Na |
1.5 |
0.0 |
1.5 |
0.0 |
1.6 |
0.0 |
S |
0.3 |
0.0 |
- |
- |
- |
0.0 |
Mg |
0.3 |
0.0 |
0.3 |
0.0 |
0.3 |
0.0 |
Al |
0.3 |
0.0 |
0.1 |
0.0 |
0.1 |
0.0 |
P |
0.2 |
0.0 |
0.2 |
0.0 |
0.4 |
0.0 |
Fe |
0.1 |
0.0 |
0.1 |
0.0 |
0.1 |
0.0 |
Si |
0.1 |
0.0 |
- |
- |
0.5 |
0.0 |
Cu |
- |
- |
- |
- |
0.1 |
0.0 |
Table 5.
Percentages by mass and atomic mass of biochars obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 400 °C, 1.0 atmosphere, with 10.0% (by mass) of Ca(OH)2 as catalyst, on a laboratory scale.
Table 5.
Percentages by mass and atomic mass of biochars obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 400 °C, 1.0 atmosphere, with 10.0% (by mass) of Ca(OH)2 as catalyst, on a laboratory scale.
Pirolysis |
Chemical Elements |
(R1) 400°C |
(R2) 400°C |
(R3) 400°C |
Mass [wt.%] |
SD |
Mass [wt.%] |
SD |
Mass [wt.%] |
SD |
C |
62.5 |
0.1 |
60.5 |
0.1 |
56.7 |
0.1 |
O |
18.9 |
0.1 |
24.5 |
0.1 |
28.8 |
0.1 |
K |
2.9 |
0.0 |
2.4 |
0.0 |
1.1 |
0.0 |
Cl |
4.1 |
0.0 |
3.4 |
0.0 |
1.1 |
0.0 |
Ca |
6.8 |
0.0 |
6.2 |
0.0 |
9.5 |
0.0 |
Na |
2.3 |
0.0 |
2.3 |
0.0 |
1.4 |
0.0 |
S |
0.2 |
0.0 |
- |
0.0 |
- |
0.0 |
Mg |
0.4 |
0.0 |
0.2 |
0.0 |
0.2 |
0.0 |
Al |
0.2 |
0.0 |
- |
0.0 |
0.6 |
0.0 |
P |
0.6 |
0.0 |
- |
0.0 |
0.3 |
0.0 |
Fe |
0.7 |
0.0 |
0.4 |
0.0 |
- |
0.0 |
Si |
0.4 |
0.0 |
- |
0.0 |
0.2 |
0.0 |
Table 6.
Percentages by mass and atomic mass of biochars obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 475 °C, 1.0 atmosphere, with 10.0% (by mass) of Ca(OH)2 as catalyst, on a laboratory scale.
Table 6.
Percentages by mass and atomic mass of biochars obtained by catalytic pyrolysis of the fraction (organic matter and paper) of MSW at 475 °C, 1.0 atmosphere, with 10.0% (by mass) of Ca(OH)2 as catalyst, on a laboratory scale.
Pirolysis |
Chemical Elements |
(R1) 475°C |
(R2) 475°C |
(R3) 475°C |
Mass [wt.%] |
SD |
Mass [wt.%] |
SD |
Mass [wt.%] |
SD |
C |
77.6 |
0.1 |
70.4 |
0.1 |
45.0 |
0.1 |
O |
18.2 |
0.1 |
19.6 |
0.1 |
32.4 |
0.1 |
K |
1.5 |
0.0 |
1.7 |
0.0 |
2.6 |
0.0 |
Cl |
0.5 |
0.0 |
1.7 |
0.0 |
2.6 |
0.0 |
Ca |
0.8 |
0.0 |
1.3 |
0.0 |
14.2 |
0.0 |
Na |
0.9 |
0.0 |
1.2 |
0.0 |
1.5 |
0.0 |
S |
- |
- |
- |
- |
0.1 |
0.0 |
Mg |
0.4 |
0.0 |
0.1 |
0.0 |
0.4 |
0.0 |
Al |
- |
- |
- |
- |
0.1 |
0.0 |
P |
- |
- |
0.2 |
0.0 |
0.5 |
0.0 |
Fe |
0.1 |
0.0 |
- |
- |
0.4 |
0.0 |
Si |
- |
- |
0.1 |
0.0 |
0.2 |
0.0 |
Cu |
- |
- |
0.1 |
0.0 |
0.1 |
0.0 |
Table 7.
Process parameters, mass balances, and yields of reaction products (liquids, solids, H2O, and gas) by pyrolysis of MSW fraction (organic matter and paper) at 450 °C, 1.0 atmosphere, in laboratory scale for socioeconomic regions.
Table 7.
Process parameters, mass balances, and yields of reaction products (liquids, solids, H2O, and gas) by pyrolysis of MSW fraction (organic matter and paper) at 450 °C, 1.0 atmosphere, in laboratory scale for socioeconomic regions.
Process parameters |
Region 1 |
Region 2 |
Region 3 |
450 [°C] |
450 [°C] |
450 [°C] |
0.0 (wt.) |
0.0 (wt.) |
0.0 (wt.) |
Mass of urban solid wastes [g] |
40.1 |
40.11 |
40.57 |
Cracking time [min] |
20 |
20 |
20 |
Initial cracking temperature [°C] |
334 |
363 |
364 |
Mass of solids (coke) [g] |
16.11 |
16.61 |
19.28 |
Mass of bio-oil [g] |
9.45 |
9.19 |
6.54 |
Mass of H2O [g] |
6.54 |
7.42 |
6.68 |
Mass of gas [g] |
8.00 |
6.89 |
8.07 |
Yield of bio-oil [%] |
23.57 |
22.91 |
16.12 |
Yield of H2O [%] |
16.31 |
18.49 |
16.46 |
Yield of solids [%] |
40.17 |
41.41 |
45.52 |
Yield of gas [%] |
19.95 |
17.21 |
19.89 |
Table 8.
Process parameters, mass balances, and yields of reaction products (liquids, solids, H2O, and gas) by pyrolysis and catalytic cracking of urban solid wastes (organic matter and paper) at 400 °C, 1.0 atm, 10.0% (wt.) of Ca(OH)2, in laboratory scale.
Table 8.
Process parameters, mass balances, and yields of reaction products (liquids, solids, H2O, and gas) by pyrolysis and catalytic cracking of urban solid wastes (organic matter and paper) at 400 °C, 1.0 atm, 10.0% (wt.) of Ca(OH)2, in laboratory scale.
Process parameters |
Region 1 |
Region 2 |
Region 3 |
400 [°C] |
400 [°C] |
400 [°C] |
10.0 (wt.) |
10.0 (wt.) |
10.0 (wt.) |
Mass of urban solid wastes [g] |
30.0 |
30.0 |
30.03 |
Mass of Ca(OH)2 [g] |
3.0 |
3.0 |
3.0 |
Cracking time [min] |
20 |
20 |
20 |
Initial cracking temperature [°C] |
351 |
327 |
328 |
Mass of solids (coke) [g] |
15.2 |
15.13 |
14.12 |
Mass of bio-oil [g] |
7.23 |
4.49 |
3.88 |
Mass of H2O [g] |
2.90 |
2.33 |
6.39 |
Mass of gas [g] |
4.67 |
8.05 |
5.65 |
Yield of bio-oil [%] |
24.10 |
14.97 |
12.92 |
Yield of H2O [%] |
9.66 |
7.77 |
21.27 |
Yield of solids [%] |
50.67 |
50.43 |
47.01 |
Yield of gas [%] |
15.57 |
26.83 |
18.81 |
Table 9.
Process parameters, mass balances, and yields of reaction products (liquids, solids, H2O, and gas) by pyrolysis and catalytic cracking of urban solid wastes (organic matter and paper) at 475 °C, 1.0 atm, 10.0% (wt.) of Ca(OH)2, in laboratory scale.
Table 9.
Process parameters, mass balances, and yields of reaction products (liquids, solids, H2O, and gas) by pyrolysis and catalytic cracking of urban solid wastes (organic matter and paper) at 475 °C, 1.0 atm, 10.0% (wt.) of Ca(OH)2, in laboratory scale.
Process parameters |
Region 1 |
Region 2 |
Region 3 |
475 [°C] |
475 [°C] |
475 [°C] |
10.0 (wt.) |
10.0 (wt.) |
10.0 (wt.) |
Mass of urban solid wastes [g] |
30.0 |
30.08 |
30.06 |
Mass of Ca(OH)2 [g] |
3.0 |
3.02 |
3.00 |
Cracking time [min] |
20 |
20 |
20 |
Initial cracking temperature [°C] |
364 |
381 |
340 |
Mass of solids (coke) [g] |
13.87 |
10.66 |
11.18 |
Mass of bio-oil [g] |
8.48 |
5.68 |
6.45 |
Mass of H2O [g] |
1.53 |
4.28 |
4.95 |
Mass of gas [g] |
6.10 |
9.47 |
7.48 |
Yield of bio-oil [%] |
28.28 |
18.88 |
21.45 |
Yield of H2O [%] |
5.11 |
14.22 |
16.46 |
Yield of solids [%] |
46.24 |
35.43 |
37.19 |
Yield of gas [%] |
20.35 |
31.48 |
24.88 |
Table 10.
Effect of temperature on the acid index of bio-oils and aqueous phase obtained by thermal pyrolysis at 450°C and catalytic pyrolysis of the MSW fraction at 400 and 475°C, 1.0 atm, 10.0% (by mass) of Ca (OH)2 on a laboratory scale.
Table 10.
Effect of temperature on the acid index of bio-oils and aqueous phase obtained by thermal pyrolysis at 450°C and catalytic pyrolysis of the MSW fraction at 400 and 475°C, 1.0 atm, 10.0% (by mass) of Ca (OH)2 on a laboratory scale.
Physicochemical Property |
Temperature |
R1 |
R2 |
R3 |
R1 |
R2 |
R3 |
R1 |
R2 |
R3 |
Acid Index |
450 °C |
450 °C |
450 °C |
400°C Ca(OH)2
|
400°C Ca(OH)2
|
400°C Ca(OH)2
|
475°C Ca(OH)2
|
475°C Ca(OH)2
|
475°C Ca(OH)2
|
I.ABio-Oil [mg KOH/g] |
116.8 |
115.1 |
115.3 |
34.45 |
34.41 |
40.0 |
36.36 |
36.31 |
37.20 |
I.AAqueous Phase [mg KOH/g] |
69.01 |
65.55 |
76.23 |
42.3 |
42.1 |
42.0 |
43.4 |
4.2 |
40.0 |
Table 11.
Effect of temperature on the chemical composition, expressed in hydrocarbons, oxygenated and nitrogenated, of bio-oils obtained by thermal pyrolysis at 450°C and catalytic pyrolysis of the MSW fraction at 400 and 475°C, 1.0 atm , 10.0% (by mass) Ca(OH)2 on laboratory scale.
Table 11.
Effect of temperature on the chemical composition, expressed in hydrocarbons, oxygenated and nitrogenated, of bio-oils obtained by thermal pyrolysis at 450°C and catalytic pyrolysis of the MSW fraction at 400 and 475°C, 1.0 atm , 10.0% (by mass) Ca(OH)2 on laboratory scale.
Temperature [°C] |
Concentration [%area.] |
Hydrocarbons |
Oxygenated |
Nitrogenated |
Chlorinated |
450 (R1) |
44.34 |
42.09 |
9.23 |
4.34 |
450 (R2) |
49.34 |
39.09 |
7.23 |
4.34 |
450 (R3) |
40.07 |
42.91 |
12.40 |
4.34 |
400 (R1) |
71.32 |
22.85 |
5.82 |
- |
400 (R2) |
68.16 |
25.48 |
6.36 |
- |
400 (R3) |
69.70 |
23.83 |
6.47 |
- |
475 (R1) |
65.69 |
28.48 |
5.82 |
- |
475 (R2) |
67.53 |
28.63 |
5.84 |
- |
475 (R3) |
66.77 |
26.40 |
6.82 |
- |