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Floresta e Ambiente

Print version ISSN 1415-0980On-line version ISSN 2179-8087

Floresta Ambient. vol.26 no.spe2 Seropédica  2019  Epub Sep 23, 2019

http://dx.doi.org/10.1590/2179-8087.043718 

Original Article

Wood Science and Technology

Elementary, Chemical and Energy Characterization of “Dendê” (Elaeis guineensis Jacq.) Waste in the State of Pará

Jesomi Jonatan da Costa Abreu1 
http://orcid.org/0000-0002-6062-1357

Cleibiane da Silva Martins2 
http://orcid.org/0000-0002-0615-9165

Paulo Cezar Gomes Pereira3 
http://orcid.org/0000-0003-3317-4819

Maria Lucia Bianchi4 
http://orcid.org/0000-0001-8683-4222

João Rodrigo Coimbra Nobrehttps://orcid.org/0000-0001-6276-205X5 

1Universidade Federal de Santa Maria – UFSM, Santa Maria/RS, Brasil

2Universidade do Estado de Santa Catarina – UDESC, Lages/SC, Brasil

3Universidade Federal Rural da Amazônia – UFRA, Paragominas/PA, Brasil

4Universidade Federal de Lavras – UFLA, Lavras/MG, Brasil

5Departamento de Tecnologia da Madeira – DETM, Universidade do Estado do Pará – UEPA, Paragominas/PA, Brasil

ABSTRACT

This work aimed to chemically and energetically characterize palm waste in the municipality of Igarapé Açú-PA. The residue was crushed, sieved and acclimated up to 12% of humidity. Chemical analyses were performed in the fresh material, according to NBR standards. Part of the residue was transformed into charcoal at 450 °C, with heating rate of 1.67 °C.min-1 and residence time of 30 minutes. Elementary analysis (CHNS-O) was carried out in the fresh and carbonized material. For biomass, means of 32.67% of lignin and 2.58% of minerals were found. Means of 79.71% for volatile materials and 9.85% for fixed carbon were also found. In the elementary analysis, mean values of 53.79% for carbon and 0.7% for sulfur were found. Palm biomass residues presented high fixed carbon, structural carbon and lignin levels, thus presenting potential to be used in the direct production of energy, activated carbon and also biochar.

Keywords:  biomass; fixed carbon; lignin; energy

1. INTRODUCTION

The growing search for new types of renewable energies has encouraged researchers to bring the use of agricultural residues, that is, biomass to generate energy as a new research theme (Souza et al., 2011). Biomass is defined as any organic matter of animal or vegetable origin that can be transformed and provide energy, either as heat or electricity (Saidur et al., 2011). Biochar, which is an enriched porous material and produced from a variety of biomasses, is among products that can be obtained. Palm is an oilseed with high productivity, which can supply 4 to 6 tons of oil per hectare annually, while coconut produces 3 tons, olive 2 tons, peanut 1.2 tons and soybean 0.6 ton of oil per ha (Hameed Khan & Krishnakumar, 2018). Palm oil is applied as raw material for different segments in the food, soap and cosmetics, chemical and pharmaceutical industries. It is a permanent crop that begins its production in the third year after planting, reaches maximum productivity from the eighth year, and can be economically exploited for twenty years. It is produced throughout the year, without problems of seasonal crops, allowing manpower occupation every month of the year. The evolution of palm oil production in the state of Pará has been outstanding in the last ten years. The objective of this work was to perform the elementary, chemical and energetic characterization of the palm biomass for indication of use.

2. MATERIAL AND METHODS

Palm residue was collected in the municipality of Igarapé Açú-PA, consisting of dendê pie, obtained from the processing to remove oil and olive oil. Some of the material was stored in identified plastic bags, then crushed and sieved in sieves with grain size of 40, 60, 100, 200 and 270 mesh. Materials classified by granulometry were stored in air conditioning room, with temperature conditions of 20 ± 2 °C and humidity of 65 ± 3%, until reaching constant mass, with humidity of 12%. The other part of the fresh material was only acclimated after the charring process.

Biomass was dried at 12% of moisture and transformed into charcoal at temperature of 450 °C, with heating rate of 1.67 °Cmin-1 and residence time of 30 minutes, being naturally and gradually cooled until furnace reaches final carbonization temperature and time. For the elementary analysis (CHNS), the fraction retained in the 270 mesh screen indicated for analysis was used.

Chemical analyses for the quantification of lignin, total secondary (extractive) components and inorganic (mineral) constituents of materials were performed according to standards listed in Table 1, using Elemental universal analyzer - model Vario Micro Cube.

Table 1 Standards used for chemical analysis of materials. 

Chemical tests ABNT Standards
Total Extracts - EXT. (%) NBR 14853/2010 (ABNT, 2010a)
Insoluble lignin - LIG. (%) NBR 7989/2010 (ABNT, 2010b)
Minerals - MIN. (%) NBR 13999/2003 (ABNT, 2003)

The analyzer uses helium and oxygen as drag and ignition gases, respectively. The 2-mg and three replicate samples for each biomass were packed in tin capsules and completely incinerated at 1200 °C. The holocellulose content was determined by difference in relation to the other chemical constituents as total extractives, lignin and minerals. The chemical characterization of charcoals and biomass was carried out according to procedures described by Moulin et al. (2017). All chemical analyses were carried out in triplicates to calculate the mean values, standard deviation and variation coefficient and values ​​were obtained in the form of descriptive statistics.

3. RESULTS AND DISCUSSION

The lignin content of palm biomass was 32.67% (Table 2). According to Brito & Barrichelo (1977) and Castro (2016), high lignin contents may be correlated with higher fixed carbon content, volatile substances and consequently higher gravimetric coal yield.

Table 2 Mean values ​​of chemical composition, standard deviation (DP) and variation coefficient (VC) of Elaeis guineensis Jacq. residues. 

Species Chemical composition (%)
Lignin Extractives Minerals Holocellulose*
Palm Mean 32.67 24.92 2.58 39.83
DP 0.60 0.21 0.15 1.19
CV 1.84 0.84 5.81 2.99

*Value ​​obtained by difference; DP = standard deviation; VC = variation coefficient.

Esteves et al. (2015) found mean values ​​of 30.6% lignin, 3.7% extractives and 62.5% holocellulose for coconut shell biomass, values ​​that differ slightly from those found for palm oil. It is known that the increase in lignin content leads to an increase in coal production, in contrast to the increase in holocellulose content, which causes a decrease in yield, since almost all this component has thermal degradation between 200 and 350 °C, and charcoal is produced at temperatures above 400 °C (Vale et al., 2010). Nevertheless, the presence of lignin is quite satisfactory in Elaeis guineensis Jacq. residues and depending on its use, it may not harm charcoal production. It is worth mentioning that the variation in the values ​​of the smaller, extractive and mineral constituents can be explained by the influence of genetic factors and soil composition. Yang et al. (2006) studied the influence of mineral materials on the pyrolysis of palm oil residues and observed that coal yield decreased with low mineral content.

The values ​​obtained for the chemical composition of biomass (moisture, volatile materials, fixed carbon and ashes) are exhibited in Table 3.

Table 3 Moisture and immediate chemical composition of Elaeis guineensis Jacq. residues. 

Species Composition (%)
Moisture Volatile Ashes Fixed Carbon*
Palm Mean 7.97 79.71 2.47 9.85
SD 0.33 0.43 0.12 0.46
VC 4.14 0.54 4.86 4.67

*Value ​​obtained by difference; SD = standard deviation; VC = variation coefficient.

It was observed that the mean moisture content of palm oil residues is low (7.97%) compared to other results found for apple pruning (37.66%) and coffee beans and bark residues (15.66%) (Vale et al., 2007; Ekinci, 2011). According to Luk et al. (2013), when it comes to samples for the generation of energy, high value for this parameter is not interesting, thus confirming an advantage of palm oil residues for energy use, being also considered an essential factor in the coal vegetable production.

Values ​​of 9.85% for fixed carbon, 79.71% for volatiles and 2.47% for ashes were also found, data very close to those found by Teixeira (2008) for babassu biomass of 9.62% for fixed carbon, 88.16% for volatiles and ashes (2.22%). According to Brito & Barrichelo (1977), high lignin values are statistically correlated with higher levels of fixed carbon, volatile substances, ashes and volumetric coal yield, thus making the results found in this work consistent with literature.

In Table 4, elementary biomass analysis showed carbon content of 53.79%, characteristic of material adequate for the production of activated carbon. Similar results were observed by other authors when studying residual biomass of soybean, olive pomace, olive stone, black acacia bark and residual biomass of the Amazon (Linhares et al., 2016; Castro, 2016; Demiral et al., 2011; Tay et al., 2009).

Table 4 Mean values ​​of elementary analysis, standard deviation (DP) and variation coefficient (VC) for Elaeis guineensis Jacq. biomass. 

Species Elements (%)
C H N S O* O/C
Palm Mean 53.79 6.71 1.96 0.07 35.00 0.65
SD 0.54 0.07 0.13 0.01 0.68 0.02
VC 1.00 1.04 6.63 14.3 1.94 3.08

*Values ​​obtained by difference among the other constituents, discounting the amount of minerals of the immediate composition (Table 3); SD = standard deviation; VC = variation coefficient.

Values ​​of elementary analysis (CHNS-O) of palm charcoal produced at temperature of 450 °C can be observed in Table 5.

Table 5 Mean values ​​of elementary analysis, standard deviation (SD) and variation coefficient (VC) of coal at carbonization temperature of 450 °C. 

Charcoal Elements (%)
C H N S O* O/C
Palm Mean 70.43 3.41 3.45 0.10 20.14 0.29
SD 0.09 0.01 0.02 0.00 0.08 0.00
VC 0.13 0.29 0.58 0.00 0.40 0.00

*Values ​​obtained by difference among the other constituents, discounting the amount of minerals of the immediate composition (Table 3); SD = standard deviation; VC = variation coefficient.

It was observed that, in the produced carbon, carbon contents are higher and hydrogen contents are lower when compared to the original biomass (Table 4), further emphasizing the high quality of the coal obtained. In the case of pyrolysis, it is possible to obtain a product with high carbon content due to the volatilization of hydrogen, oxygen and nitrogen-containing compounds (Sekirifa et al., 2013). According to Oasmaa et al. (2010), biomasses with less lignin and more hemicelluloses and ash contents present higher O/C ratios, since lignin has 30% oxygen and 65% of elemental carbon in its composition, whereas other polymers have about 50% oxygen and 45% carbon. In addition, Huang et al. (2009) reported that the quantification of elemental chemical components is important in the characterization of solid biofuel because the energy released during the combustion process is positively correlated with carbon and hydrogen contents and, contrary to the oxygen content.

According to Hamza et al. (2016) and Machado & Andrade (2004), for methodological reasons, the coal elemental chemical analysis results in an increase in the carbon content in relation to the immediate chemical analysis, due to the first accounting for both the free carbons, which later constitute the volatile materials, as well as those that are part of the coal chemical structure. It was also observed that the elemental carbon contents were higher than those observed for the fixed carbon content (Table 6).

Table 6 Moisture and immediate chemical composition of charcoal produced from Elaeis guineensis Jacq. Biomass. 

Charcoal Composition (%)
Moisture Volatile Ashes Fixed Carbon*
Palm Mean 4.56 22.09 3.17 70.18
SD 0.35 1.04 0.41 1.17
VC 7.68 4.71 12.93 1.67

*Value ​​obtained by difference; SD = standard deviation; VC = variation coefficient.

It should be noted that the moisture value was 4.56%, which is a very favorable result, because the lower the index, the higher the quality of the produced charcoal, providing rapid combustion process and increased carbonization yield. For Brand & Giesel (2017), the high moisture content present in biomass makes it difficult to use it directly, that is, humidity reduces the amount of energy produced during combustion. Regarding the composition of volatiles (22.09%), it was estimated that this result was low in comparison to the presence of fixed carbon, which was quite high (70.18%). For Trugilho & Silva (2001) and Protásio et al. (2011), the higher the fixed carbon content and the lower the content of volatiles of charcoal, the higher its caloric value, thus demonstrating the great energetic potential of charcoal from palm biomass.

The ash and fixed carbon contents were 3.17% and 70.18%, respectively. According to Soares et al. (2014), ashes are considered undesirable in the coal production process, because these are combustion residues responsible for the emission of metals due to their composition, that is, high ash concentration negatively affects the calorific value and the heat transfer. However the fixed carbon content helps in the development of coal pores in the pyrolysis process (Hamza et al., 2016). Thus, raw materials with higher carbon and lower ash contents may be considered more suitable for the production of activated carbon (Cheng et al., 2016).

It was verified that the charcoal obtained was homogeneous due to the lower standard deviation and variation coefficient values, which ultimately characterize high quality final product. In this sense, the search for superior genetic material in favor of charcoal production is essential to increase the yield of the carbonization process, as well as to improve the quality of produced charcoal, which can be observed in this work.

4. CONCLUSION

The results of analyses showed high levels of fixed carbon, structural carbon, lignin, volatile substances and low ash and moisture content, indicating the characteristics necessary to be used in the direct production of energy, production of activated carbon and also biochar.

ACKNOWLEDGEMENTS

To the Federal University of Lavras, to the Graduate Program in Wood Science and Technology, to the State University of Pará and to the Research Group Science, Wood Innovation and Technology in the Amazon for the opportunity to carry out this work.

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Received: November 14, 2018; Accepted: December 13, 2018

João Rodrigo Coimbra NobreDepartamento de Tecnologia da Madeira – DETM, Universidade do Estado do Pará – UEPA, Rodovia PA-124, s/n, Bairro Angelim, CEP 68625-000, Paragominas, PA, Brasil e-mail: rodrigonobre@uepa.br; rodrigonobre@hotmail.com.br

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