Next Article in Journal
A New Hybrid Prediction Method of Ultra-Short-Term Wind Power Forecasting Based on EEMD-PE and LSSVM Optimized by the GSA
Next Article in Special Issue
Optimization and Scale-Up of Coffee Mucilage Fermentation for Ethanol Production
Previous Article in Journal
Design and Numerical Analysis of a Novel Counter-Rotating Self-Adaptable Wave Energy Converter Based on CFD Technology
Previous Article in Special Issue
Life Cycle Performance of Hydrogen Production via Agro-Industrial Residue Gasification—A Small Scale Power Plant Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Thermogravimetric, Devolatilization Rate, and Differential Scanning Calorimetry Analyses of Biomass of Tropical Plantation Species of Costa Rica Torrefied at Different Temperatures and Times

by
Johanna Gaitán-Álvarez
1,
Róger Moya
1,*,
Allen Puente-Urbina
2 and
Ana Rodriguez-Zúñiga
1
1
Escuela de Ingeniería Forestal, Instituto Tecnológico de Costa Rica, Apartado 159-7050, Cartago, Costa Rica
2
Instituto Tecnológico de Costa Rica, Centro de Investigación y de Servicios Químicos y Microbiológicos (CEQUIATEC), Escuela de Quimica, Apartado, 159-7050 Cartago, Costa Rica
*
Author to whom correspondence should be addressed.
Energies 2018, 11(4), 696; https://doi.org/10.3390/en11040696
Submission received: 18 February 2018 / Revised: 16 March 2018 / Accepted: 19 March 2018 / Published: 21 March 2018

Abstract

:
We evaluated the thermogravimetric and devolatilization rates of hemicellulose and cellulose, and the calorimetric behavior of the torrefied biomass, of five tropical woody species (Cupressus lusitanica, Dipteryx panamensis, Gmelina arborea, Tectona grandis and Vochysia ferruginea), at three temperatures (TT) and three torrefaction times (tT) using a thermogravimetric analyzer. Through a multivariate analysis of principal components (MAPC), the most appropriate torrefaction conditions for the different types of woody biomass were identified. The thermogravimetric analysis-derivative thermogravimetry (TGA-DTG) analysis showed that a higher percentage of the hemicellulose component of the biomass degrades, followed by cellulose, so that the hemicellulose energy of activation (Ea) was less than that of cellulose. With an increase in TT and tT, the Ea for hemicellulose decreased but increased for cellulose. The calorimetric analyses showed that hemicellulose is the least stable component in the torrefied biomass under severe torrefaction conditions, and cellulose is more thermally stable in torrefied biomass. From the MAPC results, the best torrefaction conditions for calorimetric analyses were at 200 and 225 °C after 8, 10, and 12 min, for light and middle torrefaction, respectively, for the five woody species.

1. Introduction

Biomass is widely available worldwide, and often used in biofuel production to help reduce the use of fossil energy reserves and mitigate problems the environmental problems caused by petroleum derived fuels [1]. In addition, biomass produces lower carbon dioxide (CO2) emissions, as it maintains the carbon cycle by freeing the carbon that was previously fixed during photosynthesis [2]. However, despite the importance of biomass, it has not been developed into other types of energy, such as hydroelectricity, eolic, or solar energies, which are being highly exploited [3].
Despite the increase in the use of biomass as an energy source, some disadvantages still limit its optimum performance, such as difficulties in collection due to disperse distribution, irregular shape, high volume, low energy density, and storage and transportation problems [2]. These problems affect the variability of the biomass’s physical properties [4]. Other challenges posed by biomass include its low calorific power, high moisture content, and hygroscopic nature that cause economic problems and deficiencies during transportation, handling, storage, and conversion of the material [5].
Technologies that use thermal treatment of biomass could be applied to solve the mentioned difficulties and convert biomass into energy via combustion [6]. Of the thermal treatments, torrefaction appears to be an effective solution [5]. Studies have shown that torrefaction increases the energy density of the biomass and reduces its hygroscopicity [7,8]. Biomass torrefaction occurs at temperatures from 200 and 300 °C, at atmospheric pressure, and in the presence of inert atmosphere, meaning a limited oxygen presence during the process. The advantages of torrefaction include calorific power increase, reduction of O-H and H-C, lower, moisture content, higher hydrophobicity, and better grinding capacity [9,10,11,12].
The success and quality of the torrefied biomass depend on the temperature and time of torrefaction, mainly due to the heterogeneity of the chemical composition of the biomass [13]. Among the chemical components of biomass, lignin is the most thermally stable, followed by cellulose and then by [5,12,14]. For average ranges of torrefaction, the component that degrades the most is hemicellulose as well as some non-structural components, such as extractives [9,12,15].
Important changes in biomass composition were observed using thermogravimetric analysis (TGA) after torrefaction [16]. The curves in this analysis demonstrate the thermal stability of the components of the biomass, including the mass loss and residual mass [14,17]. Previous studies confirmed that hemicellulose decreased and, consequently, the proportion of cellulose and lignin increased in the species after torrefaction [12]. However, the characteristics of the torrefied biomass of tropical species have rarely been studied [12,18]. Large volumes of biomass residues of tropical species in Costa Rica are constantly produced in the timber industry, so torrefaction is an option to process this raw material [12,19]. The biomass of tropical timber species and the different torrefaction processes have been characterized [18,19,20,21]. This study continued these studies on the biomass torrefaction of the most used species with energy potential in Costa Rica [22,23,24].
The present study aimed to evaluate the thermogravimetric behaviour, devolatilization of hemicellulose and cellulose, and the calorimetric behaviour of the torrefied biomass of five tropical woody species (Cupressus lusitanica, Dipteryx panamensis, Gmelina arborea, Tectona grandis and Vochysia ferruginea), at three temperature conditions (light, middle and severe) and three torrefaction times using simultaneous thermogravimetric and differential scanning calorimetry analyses. Then, we aimed to find the most appropriate torrefaction conditions for the different types of woody biomass using multivariate analysis of principal components (MAPC) in relation to the thermo-chemical degradation without significantly affecting the chemical composition of the material. This study will enhance the treatment of biomass to obtain renewable and viable raw material for the generation of clean energy from a lignocellulosic material [25].

2. Material and Methods

2.1. Material Characteristics

The woody waste biomass of C. lusitanica, D. panamensis, G. arborea, T. grandis and V. ferruginea from fast growth plantations at different sites in Costa Rica was used. The age of the plantations ranged between 8 and 14 years. The details of the materials are available in Moya et al. [18] and Gaitán-Álvarez et al. [12,21]. Sawdust from all the species was directly collected from the sawing process, conditioned to a 7% moisture content and then sieved. After sieving, the sawdust particles used were 70% of 2.00–4.00 mm and 30% 0.42–2.00 mm. The chemical compositions of the five species are shown in Table 1.

2.2. Torrefaction Process

Three 500 g samples of sawdust were obtained from each species. The material was then divided to apply three different torrefaction durations (8, 10 and 12 min), and the three different torrefaction temperatures (200, 225, and 250 °C), resulting in nine treatments per species. Figure 1 shows the nine treatment and their abbreviations. These durations and temperatures were selected according to a previous study [5]. A modified Thermolyne Furnace 48,000 (Thermolyne, Waltham, MA, USA) was used for the torrefaction process. The furnace was sealed to prevent airflow from the manual system to maintain pressure. Every 4–5 min, the air was freed, allowing the development of the torrefaction process within an environment with limited oxygen content, adding N2 to the furnace [19].

2.3. Thermogravimetric Analysis (TGA)

To obtain the degradation curves, TGA was performed at atmospheric pressure under inert ambient nitrogen, using about 5 mg of sawdust of each species. The heating rate was 20 °C/min in a nitrogen atmosphere of ultra-high purity N2 at 100 mL/min, reaching a temperature of 800 °C. A TA Instruments (New Castle, DE, USA) thermogravimetric analyzer, model SDT Q600, was used. The TGA provided values for mass loss in relation to temperature, from which the derivative thermogravimetry (DTG) was obtained, allowing us to determine the position and temperature at which sample degradation occurred. The TGA data and their first and second derivatives (DTG and D2TG) were analyzed using TA Instruments Universal Analysis 2000 software. The parameters are presented in Figure 2a,b: (i) the temperature at the beginning of degradation (Ti) and the percentage of residual mass at Ti (WTi); (ii) the temperature corresponding to the maximum degradation of hemicellulose (Tsh) and the percentage of residual mass at Tsh (WTsh); (iii) the temperature corresponding to the maximum cellulose mass loss rate (Tm) and the percentage of the residual mass at Tm (WTm) and (iv) the temperature corresponding to the end of degradation (Tf) and the percentage of residual mass at Tf (WTf), when mass loss began to stabilize as the temperature increased. Additional parameters were obtained from the derivative thermogravimetry (DTG): (v) the temperature of hemicellulose degradation onset (Tonset(hc)) and residual mass at Tonset(hc) (WTonset (hc)); (vi) the end temperature of the hemicellulose degradation (Toffset(hc)) and the residual mass at Toffset(hc) (WToffset (hc)); (vii): the temperature of cellulose degradation onset (Tonset(c)) and the residual mass at T onset(c) (WTonset(c)); (viii): the end temperature of cellulose degradation (Toffset(c))and the residual mass at Toffset(c) (WToffset(c)). Figure 2c shows the DTG curve representing the different temperature. MAgicPlot 2.5.1 software was used to obtain these values.
Once the decomposition start points for hemicellulose and cellulose were obtained, the thermostability of these components was evaluated using the model described in Equation (2), which was obtained from the linearized model in Equation (1) according to Sbirrazzuoli et al. [26]. The differential was the conversional method used by Friedman. The objective was to calculate the activation energy of the decomposition for each component of the materials being studied (hemicellulose and cellulose):
K = A e ( E a R T )
ln ( d α d t ) = l n K 0 + ( E a R T ) + n l n ( 1 α )
where α is the degraded mass, d α d t is the percentage of the degraded sample per unit time, A is the pre-exponential factor, Ea is the energy of activation, and T is temperature.

2.4. Devolatilization Variation

Several methods can be used to measure the degree of biomass devolatilization [18,27]. According to Grønli et al. [27], the total volatiles released during devolatilizatiion include mass fractions, whose dynamics are described by first-order kinetics. In this research, the devolatilization behavior during the thermal degradation of the biomass components in different samples was evidence by the percentage of devolatilized mass relative to time, and a subsequent analysis of the devolatilization rate (Drate). The Drate behavior with different TT and tT was first described. Next, we determined the maximum devolatilization rate (Dmax) and the time at which Drate was obtained. Figure 2d shows where these parameters were determined in the first time derivatives of the mass fraction with respect to time.

2.5. Statistical Analysis

The experiment had a two-level factorial design. Level one corresponded to the tT of the biomass at three different times: 8, 10, and 12 min. The second factorial level was TT at three temperatures: 200, 225, and 250 °C. This design was applied to each species studied (C. lusitanica, D. panamenisis, G. arborea, T. grandis and V. ferruginea). We worked with three samples for each treatment per species. Secondly, a multivariate analysis of the principal components (MAPC) was performed, including all the variables of the TGA and the determined devolatilization parameters. Two main components were selected. This analysis was performed with SAS software (SAS Inc., Cary, NC, USA). Significance level was established at 5%.

3. Results

3.1. TGA-DTG Analysis

The thermogravimetric decomposition behavior of the torrefied biomass for the five species showed the same pattern with different TT and tT (Figure 3a–h). However, the DTG curve showed some differences in biomass decomposition (Figure 3a–h). For the TGA curve, five important stages were observed. A predominant signal appeared in the first stage prior to 100 °C. The second stage showed a pronounced peak between 290 °C and 330 °C, the third stage occurred between 340–380 °C. And the fourth stage appeared between 400–500 °C, where the speed of mass loss mas lower compared with the two previous decomposition stages. Finally, few changes in the sample occurred as temperature continued to increase.
Overall, the TGA and DTG curves (Figure 3a–h) showed small visually noticeable differences in the thermal behaviour of the torrefied biomass at various TT. For all species studied, the biomass torrefied at 250 °C at the three tT were thermally different. First, the TGA curves show that the biomass torrefied at 250 °C, or severe torrefaction, behaved differently compared to the rest of the TT. After 340–380 °C, mass loss was less than for biomass torrefied at 250 °C (Figure 3a–h). Second, the DTG curves showed a strong signal at 290 °C, but it appeared as a small shoulder along that at 250 °C (Figure 3a–h). This signal was more visible in D. panamensis (Figure 3c) and V. ferruginea (Figure 3i), whereas this shoulder was not present in C. lusitanica (Figure 3a), G. arborea (Figure 3e), and T. grandis (Figure 3g) in biomass torrefied at 250-12.
Table 2 and Table 3 show the detailed analyses of the temperatures and mass loss for the various species, where the main changes in the degradation of the different chemical components of the torrefied biomass during the TGA occurred. In the evaluation of the decomposition Ti in C. lusitanica, the Ti of biomass torrefaction increased with respect to untorrefied biomass, except for the 250-8 condition. For the remaining four species under all torrefaction conditions, decomposition Ti increased (Table 2). As for WTi at 250 °C, torrefaction was greater in the torrefied biomass compared with untorrefied biomass for all species (Table 3). Conversely, Ti tended to increase in torrefied biomass under the light torrefaction condition (200-8) to the middle torrefaction condition between 225-10 and 225-12, depending on the species, and decreased under 250-10 or 250-12 conditions. For D. panamensis, G. arborea, T. grandis, and V. ferruginea, the decomposition Tf was lower for the torrefied biomass than the untorrefied biomass under any condition of TT and tT. Tf increased at 200 °C in the torrefied biomass of C. lusitanica compared to untorrefied biomass. The remaining conditions (225 and 250 °C) displayed lower Tf compared to the untorrefied biomass (Table 2). The behavior of WTi, WTf, and the residual mass differed among Ti and Tf conditions for all species, as WTi and WTf increased with increasing TT and tT (Table 2 and Table 3).
C. lusitanica behaved differently with respect to hemicellulose parameters compared with the other species. Tonset(hc) and Tsh were higher in the torrefied biomass compared to the untorrefied biomass (Table 2), whereas the Toffset(hc) was lower in all torrefied biomasses compared to the untorrefied biomass (Table 2). Tonset(hc) was lower in the torrefied biomass of D. panamensis, G. arborea, T. grandis, and V. ferruginea compared to untorrefied biomass. The Tsh and Toffset(hc) of the torrefied biomass of these species were higher than the untorrefied biomass (Table 2).
The different torrefaction conditions had varying effects on the hemicellulose of C. lusitanica compared to the other four species. The Tonset(hc) of the torrefied biomass of C. lusitanica increased as TT and tT increased, whereas Tsh and Toffset(hc) decreased with increasing TT and tT. The Tonset(hc) also increased in the torrefied biomass of the remaining species (D. panemensis, G. arborea, T. grandis and V. feruginea) under light 200-8) to medium (between 225-10 or 225-12 depending on the species), torrefaction conditions, then decreasing under the 250-10 or 250-12 conditions. For the Tsh and Toffset(hc) parameters, their values decreased with increasing TT and tT, whereas some irregularities were observed in this behaviour in C. lusitanica and T. grandis.
In biomass torrefied at any TT or tT, WTonset(hc), WTsh, and WToffset(hc) had higher values than in untorrefied biomass in all species (Table 3). The values of TT and tT varied under different torrefaction conditions. In general, the values of WTonset(hc), WTsh and WToffset(hc) for all species increased with increasing TT, particularly in biomass torrefied at 250 °C. Few changes were observed in tT at the same TT in the WTonset(hc) and WTsh values for all tT of the different species. However, for WToffset(hc), for 8 and 10 min, the parameter values were similar, whereas under condition 250-12, a significant increase in WToffset(hc) was observed in all species (Table 3).
For the cellulose decomposition parameters, biomass torrefaction increased Tonset(c) compared to the untorrefied biomass in C. lusitanica, G. arborea, T. grandis, and V. ferruginea, whereas in D. panamensis, Tonset(c) increased from the 200-8 to the 250-10 condition, and then decreased under the most severe condition (250-12) (Table 3). Conversely, Tm increased in the torrefaction of the biomass of C. lusitanica and D. panamensis from the least severe condition (200-8) to condition 225-10. Also, under conditions 225-12 and TT at 250 °C, the torrefied biomass had a lower Tm than the untorrefied biomass. The torrefied biomass of G. arborea had a higher Tm value compared to the untorrefied biomass, except under condition 250-8. In the biomass of T. grandis, torrefaction increased Tm compared to untorrefied biomass, except for condition 250-12. In the biomass of V. ferruginea, torrefaction reduced Tm under conditions 200-12, 225-8, and 225-10, whereas Tm was higher under the rest of the torrefaction conditions (Table 3) compared with untorrefied biomass. Lastly, torrefaction of the biomass of the five species decreased Toffset(c) compared with untorrefied biomass (Table 3).
With respect to the different torrefaction conditions, the increase in TT and tT decreased Tonset(c) in C. lusitanica and D. panamensis. Conversely, in G. arborea, the increase in TT and tT decreased Tonset(c), except under condition 225-8. As for T. grandis and V. ferruginea, no trend was found in Tonset(c) with either an increase or decrease of TT or tT (Table 3). Tm and Toffset(c) decreased in all species as TT or tT increased (Table 3).
The evaluation of the residual mass of the different biomasses showed that torrefaction decreased the WTonset(c) value in C. lusitanica and T. grandis, whereas in D. panamensis, G. arborea and V. ferruginea, torrefaction decreased the WTonset(c) value, except under the most severe condition (250-12) (Table 3). Torrefaction increased Tm in all species, except under condition 200-8 for D. panamensis and T. grandis and conditions 200-8 and 200-10 for V. ferruginea, where Tm decreased. Lastly, WToffset(c) was higher in torrefied biomass than in untorrefied biomass for all species (Table 3). The evaluation of the residual mass under the different torrefaction conditions showed that all parameters related to residual mass (WTonset(c), WTm, and W Toffset(c)) increased their values with increasing TT and tT of torrefaction in all species (Table 3).
Table 4 shows the kinetic parameters of hemicellulose and cellulose decomposition in torrefied biomass observed with TGA. In the torrefied biomass of C. lusitanica, the activation energy (Ea) value of hemicellulose increased with the increase in TT and tT up to 225 °C; however, in torrefaction at 250 °C for 10 and 12 min, the Ea values were lower. The Ea cellulose values for the biomass of C. lusitanica increased with the increase in TT and tT, requiring more energy to degrade the cellulose in the biomass. For Ea, the torrefied biomasses at 200 °C and 225-8 had lower values than the untorrefied biomass; then Ea increased with TT and tT, decreasing again under the 250-12 condition.
The torrefaction increased the pre-exponential factor (A) and Ea of the hemicellulose in the D. panamensis biomass compared to the untorrefied biomass. The A and Ea increased from 200-8 to 225-12, and decreased at 250 °C. For cellulose, the A and Ea in the torrefied biomass decreased with the increase in TT and tT, but any torrefaction produced lower values of A and Ea compared to the untorrefied biomass.
The G. arborea torrefied biomass had lower A and Ea hemicellulose values than the untorrefied biomass. Torrefaction at 200 °C had high Ea hemicellulose values, whereas the Ea decreased significantly with TT and tT above 225 °C. For cellulose, Ea increased as TT and tT increased, especially under condition 225-10 (Table 4). The torrefied biomass had higher Ea values compared to untorrefied biomass, except for conditions 200-8 and 200-10. In general, torrefaction Ea increased with increasing TT and tT.
With T. grandis, the hemicellulose A and Ea increased up to torrefaction condition 225-12, with values greater than those for untorrefied biomass. Beyond these torrefaction conditions, A and Ea decreased in the torrefied biomass at 250 °C, with values lower than found for the untorrefied biomass. For cellulose, Ea was lower for the different types of torrefied biomass, except under condition 250-12. Ea was also lower in torrefied biomass under 225-8, 225-10, and 250-8 conditions. Ea increased with TT for the other temperatures. However, Ea was greater for all torrefied biomasses, increasing as TT and tT increased (Table 4).
The torrefied biomass of V. ferruginea had lower Ea values for hemicellulose than the untorrefied biomass. Ea in hemicellulose decreased with decreasing TT for the different torrefaction conditions, whereas at the same temperature, Ea decreased at 10 and 12 min. For cellulose, the Ea value was lower as TT, decreased except for conditions 225-10 and 250-12, in which Ea was higher in the torrefied biomass. For the EA value for cellulose for different TT, Ea increased with TT, excluding conditions 200-10 and 225-8, which had a low Ea value.
Notably, the correlation coefficients (R2) for all torrefaction conditions remained close to 0.99, with the exception of the cellulose models for G. arborea, which were low.

3.2. Devolatilization

Figure 4 displays the devolatilization rate of the torrefied and untorrefied biomasses. Table 5 shows when Dmax was reached and the Dmax values. For the C. lusitanica biomass, torrefaction at 250-10 and 250-12 had lower Drate values (Figure 5a) and reached Dmax more quickly (Table 5), whereas Dmax increased between 200-8 and 225-12, and then decreased in biomass torrefied at 250 °C.
The D. panamensis biomass torrefied at 250 °C at the three temperatures had the lowest devolatilization rate. In addition, the shoulder in the devolatilization curve at 13 min disappeared in the biomass torrefied at 250 °C (Figure 4b). The time to reach Dmax showed no significant variation, except for condition 250-12 where the time required was shorter and Dmax increased with TT and tT, except for condition 250-12, where again the value was low (Table 5). G. arborea had the lowest devolatilization rate for all torrefactions, and especially for 225-10, 225-12, and 250 °C in the three tT (Figure 4c). The time to reach Dmax was approximately 16 min in the different types of biomass. However, the shortest time was obtained with 250-10 (Table 5). The Dmax value increased at 225 °C, but decreased at 250 °C.
The T. grandis torrefied biomass had a Drate above 20 dw/dt, whereas torrefactions at 250-10 and 250-12 displayed no inflexion at 13 min (Figure 3d). The maximum devolatilization was reached at 17 min for the untorrefied biomass and 200 °C and 250-12 for torrefied biomass. Under other torrefaction conditions, the time exceeded 18 min. Dmax increased with increasing TT and tT of torrefaction, with the exception of 250-12, which had a low Dmax value (Table 5).
Under conditions 200-8, 200-10, and 225-8, the torrefied V. ferruginea had a lower Drate relative to the torrefied and untorrefied biomass under the other conditions (Figure 4e). The time to reach Dmax was close to 17 min, with a slight increase in the value of Dmax with increasing TT and tT of torrefaction (Table 5).
Notably, in all species, once Dmax was reached, the slope of the curve became more severe, with a steeper slope (Figure 4a–e).

3.3. Differential Scanning Calorimetry Analyses

Figure 5 displays the DTG curves of the calorimetric analysis of the reactions that occurred during the TGA. In all torrefaction conditions and for all woody species, the first endothermic peaks occurred at 100 and 300 °C, whereas exothermic peaks were observed between 350 and 400 °C, with some variations among the species and torrefaction conditions. All torrefaction conditions demonstrated endothermic processes in the C. lusitanica biomass. However, untorrefied biomass for condition 200-8 had a more pronounced exothermic peak between 350 and 450 °C (Figure 5a). In the D. panamensis biomass, torrefaction at 200-8, 200-12, 225-8, and 250-12 demonstrated exothermic processes between 350 and 450 °C, whereas endothermic peaks of greater magnitude were observed in biomass torrefied at 225-12, 250-10, and 250-12 (Figure 5c). Exothermic reactions occurred between 300 and 400 °C in G. arborea untorrefied biomass and with torrefaction at 200-8 and 225-10, whereas the biomass under the other torrefaction conditions only showed endothermic reactions (Figure 4c). For the T. grandis biomass, the exothermic reactions between 350 and 450 °C appeared in untorrefied biomass and under conditions 200-8 and 225-10 (Figure 5d). The opposite occurred in the biomass of V. ferruginea, as torrefied biomass presented exothermic peaks under severe torrefaction conditions (225-10, 250-10, and 250-12) (Figure 6e).

3.4. Multivariate Analysis

Table 6 shows the MAPC that determined that the first two components represented approximately 60% of the total variation in the evaluated variables, of which 45% was explained by principle component one (PC1). In general, the variables influencing these components are related to hemicellulose for PC1, and cellulose for PC2. However, a slight variation was found between the different species (Table 6). For C. lusitanica, PC1 mainly included the hemicellulose-related variables, such as Tonset(hc), Toffset(hc), WTonset(hc), WToffset(hc), Tsh, and WTsh, and PC2 included cellulose variables such as Tonset(c), Toffset(c), and WTonset(c). For D. panamensis, the variables that most influenced PC1 were the same as for C. lusitanica long with the Ea of hemicellulose and cellulose. In PC2, Toffset(c), Ti, Tf, WToffset(c), and WTi were the most influential. For G. arborea, the variables representing PC1 were percentage of residual mass, WTi, WTm, and WTf, whereas PC2 included WTonset(hc), WTonset(c), and WTi. The components of T. grandis included Tsh, Ti, mass residual, WTsh, WTm, and WTf for PC1 and by Tonset(hc), Toffset(hc), Tsh, and WTonset(c) for PC2. In V. ferruginea, PC1 included the percentage of residual mass, WTonset(hc), WToffset(c), WTi, WTm, and WTf, and PC2 included Toffset(hc), Tonset(c), Ti, and WTonset(c).
By plotting the auto-vector for PC1 and PC2 for each species (Figure 6), we identified three different groups. In C. lusitanica, D. panamensis and T. grandis, the first group included torrefactions under 200 °C, 225 °C, and 250-8 °C; the second group included conditions 250-10 and 250-12; whereas the untorrefied biomass behaved differently compared with the other groups (Figure 5a–d). In G. arborea, the first group included torrefactions under 200 °C, 225-8, 225-10, and 250-8, whereas the second group included 225-12, 250-10, and 250-12. Similarly, the untorrefied biomass behaved differently compared with the other torrefactions (Figure 5c). The first V. ferruginea group was formed by torrefactions under 200 °C, 225-8, and 250-8; whereas the second group included 225-10, 225-50, 250-10, and 250-12. Untorrefied biomass had no similarities to any of the torrefactions (Figure 6e).

4. Discussion

4.1. TGA-DTG Analysis

In general, TGA trends for torrefied and untorrefied biomass of the different woody species were similar, which is consistent with previous reports [18,20,21]. The DTG curves support this finding, where important stages were defined (Figure 3a–e) and differences were clarified.
During thermogravimetric analyses, the initial decrease in mass is attributed to the release of the moisture in the samples [28]. This water release is lower for biomasses torrefied under more severe conditions, consistent with a higher drying temperature and an increase in the hydrophobicity related to such conditions [12]. Higher temperatures enable the decomposition of the polymers present in the samples. Hemicellulose degradation occurs between 230 and 330 °C [29]. This degradation mainly tends to disappear under severe torrefaction conditions for all five species because a higher percentage of hemicellulose has already been eliminated during torrefaction [4,28,30,31]. Then, cellulose decomposition occurs at temperatures between 305 and 380 °C [28,32], which appears in all the biomasses analyzed considering that torrefaction processes affect this biopolymer less than hemicellulose. Temperatures between 400 and 500 °C cause the final decomposition of cellulose and most of the lignin [33]. During this stage, the decomposition rate slows and then continues to a period of limited change as temperature increases.
The torrefied biomass displays the four decomposition stages of the well-defined components (Figure 3a–e). The first signal in the DTG curves before 150 °C is attributable to the removal of moisture in the samples, since moisture decreases with TT [12]. The next signal or decomposition stage between 230 and 330 °C is due to hemicellulose degradation [29]; however, contrary to the untorrefied biomass, this signal tends to disappear under severe torrefaction in all five species (Figure 3). This is because high percentages of hemicelluloses have already been eliminated in the process prior to torrefaction [28,30]. This result agrees with the work reported by Bach et al. [31] and Ren et al. [4], who torrefied the biomass of conifers under temperatures above 250 °C and found that the signal decreased in the TGA curve. The next peak in the curve is related to cellulose decomposition, which occurs in the range of 305 to 380 °C [28,32]. This curve occurs in all torrefaction conditions and in untorrefied biomass, with differences in the magnitude of the peak, evidenced by weight loss. Lastly, in the final stage between 400 and 500 °C, the rate of decomposition slows, which is attributable to the final decomposition of cellulose and most of the lignin [33].
Using the parameters for material degradation (Ti, Wi) and hemicellulose degration (Tonset(hc), WTonset (hc), Tsh, Toffset(hc), and WToffset(hc)), the evaluation of stages two and three of the TGA curve shows that an increase of TT and tT increase Ti (Table 2 and Table 3), indicating that torrefied biomass is more thermally stable than untorrefied biomass, which agrees with results found by Lee et al. [34] and Islam et al. [35] when evaluation some tropical species (Dyera costulata, Esdospermun diadenum, Paraserianthes moluccana, Hevea brasiliensis, and Alstonia pneumatophora). This result also indicates that an increase in TT and tT stabilizes the biomass, leading to a reduction in the mass loss values (WTonset(hc) and WToffset(hc)) of this component (Table 4). Nevertheless, this behaviour should be viewed cautiously, as some authors indicated that this relationship is the result of the content of extractives in the wood, and the volatile material [27], affecting the combustion process [36]. In fact, Gaitán-Alvarez et al. [12] showed that, with these same woody species, weight loss during torrefaction is correlated with the type and content of extractives.
As for the cellulose degradation parameters, the evaluation showed that the most important differences were in temperature and residual mass at different TT and tT (Table 2 and Table 3). The temperature parameters (Tonset(c), Tm, and Toffset(c)) increased as TT and tT increased, except in G. arborea (Table 2), again indicating that this biomass component has higher thermal stability than in torrefied biomass, causing a reduction in weight loss values in the different stages of the evaluated cellulose decomposition evaluated (WTonset(c), WTm, and WToffset(c)).
Some of the differences found in the species, or in the behaviour of the parameters evaluated in the decomposition of cellulose in torrefied biomass between species (Table 2 and Table 3), show that the decomposition process of cellulose is complex in both torrefied and untorrefied biomass. The thermal stability of cellulose is related to the natural variation in the material, having a more chemically complex structure than hemicellulose [32,37]. Therefore, the parameters evaluated in the five species differ among them, even under the torrefaction conditions (Table 3 and Table 4).
The activation energy was expected to increase with increasing TT [38]. However, each structural component of the biomass has its own behaviour due to its chemical nature [39]. In the first stage, early degradation of hemicellulose appears during the torrefaction process [39]. Here, low activation energy is required to initiate hemicellulose degradation compared to activation energy of cellulose [38]. Hemicellulose starts to decompose at low temperatures, between 180 and 350°C [40]. Ramos [41] indicated that xylan, a type of hemicellulose, depolymerizes and reduces hemicelluloses into smaller molecules with lower molecular weight, which are more sensitive to pyrolysis [42]. Thus, with an increase in the torrefaction conditions in TT and tT, the hemicellulose decomposes in monosaccharides and volatilizes more rapidly [42]. For this reason, torrefied biomass has a low percentage of hemicellulose. Within the same woody species, Gaitán-Alvarez et al. [12] found that the weight loss of hemicellulose increases with TT and tT. Then, given the low hemicellulose content in the biomass torrefied under severe conditions, the activation energy is lower as TT and tT increase (Table 3). This result coincides with the studies of Bach et al. [43] on Norway spruce, Bobleter [44] on plants, and Wyman et al. [45] on biomass. These authors found that an increase in TT significantly decreases the Ea in hemicellulose.
Cellulose degradation requires higher energy [38]. Biomass torrefaction increases the Ea value for cellulose (Table 4), since the thermal process increases the order of the regions of cellulose [40]. This means that heat transportation is more difficult [46], so the thermal stability of the biomass is greater [38]. This behaviour was observed in the biomasses studied, where the Ea for cellulose increased with increasing TT and tT, particularly under severe torrefaction conditions (Table 4).

4.2. Devolatilization

Dmax is associated with the activation energy of cellulose decomposition. Higher Ea makes the polymer decomposition process more difficult, which is reflected in the lower Dmax values and vice versa (Table 4 and Table 5). Likewise, the decrease in devolatilization rates at higher temperatures at 250-10 and 250-12 (Figure 4a–e, Table 5) is attributed to the fact that at these TT, a high proportion of hemicellulose has been degraded [27,46], leaving a low percentage of hemicellulose and less cellulose to devolatilize when the biomass is used for energy production. Likewise, a reduction in the devolatilization rate at the higher temperatures of 250-10 and 250-12 (Figure 4a–e, Table 5) is attributed to the degradation of a high proportion of hemicellulose at these TT [27,46], leaving a low percentage of hemicellulose and less cellulose for devolatilization when the biomass is used for energy production.
The differences found in the devolatilization and Dmax values among the various species (Figure 4a–e, Table 5) are associated with the proportion and nature of the hemicellulose and cellulose contained in the biomass, since each species has its unique behaviour and chemical structure, and therefore its own pyrolysis characteristics [18].
Chen et al. [5] showed that an increase in TT and tT affects Dmax, without affecting the time to reach maximum devolatilization, with differences of approximately 2 min (Table 5). This behaviour indicates that, in torrefied biomass, the decomposition of cellulose (the component associated with maximum devolatilization) and the time to reach maximum devolatilization are maintained, whereas thermal stability of the torrefied biomass causes values of Dmax to vary.

4.3. Differential Scanning Calorimetry Analyses

At temperatures below 200 °C, all DSC curves of the five species show endothermic values, which is linked to the energy biomass needs to absorb to remove moisture [32]. Later, the exothermic peaks at 275 °C correspond to degradation of hemicellulose, while yhe peak at 365 °C corresponds to ligninn [32,47]. The endothermic peak close to 355 °C corresponds to degradation of cellulose [32]. Figure 4a–e clearly shows the processes previously described.
Although all torrefied biomasses of the different species display the exothermic processes of hemicellulose and lignin and the endothermic process of cellulose [48,49], the different behavior of each species with respect to torrefaction conditions are evident. For the torrefied biomass of C. lusitanica (Figure 4a), the endothermic peaks at 375 °C are more pronounced than for the other species, indicating the greater stability of the cellulose in this species [38]. Conversely, in the torrefied biomass of D. panamensis and T. grandis (Figure 5b,d), the endothermic peaks at 375 °C are small or less pronounced, occurring mainly in the torrefaction conditions above 225-12, meaning that under these torrefaction conditions, cellulose is less stable [38].
The exothermic peaks at 275 °C corresponding to hemicellulose [48,49], are less pronounced or absent in some torrefied biomasses (Figure 5a–e), and especially in the biomass of G. arborea under all torrefaction conditions (Figure 5c). In the remainder of the species, this behaviour mainly appears under torrefaction conditions above 225-10 (Figure 5a,b,d,e). This is because at those TT, part of the hemicellulose was removed during the torrefaction process [5]. Therefore, the exothermic peak with severe torrefaction is unclear [35].

4.4. Multivariate Analysis

The variables related to hemicellulose (Tonset(hc), Toffset(hc), WTonset(hc), WToffset(hc), Tsh, and WTsh) form PC1, whereas PC2 is related to the cellulose parameters (Table 6). This demonstrates that the behaviour of torrefied biomass at different TT and tT can be classified relative to the content of these components. In addition, these two components reflect the thermal stability of the torrefied biomass, as these were statistically and significantly reflected in the principal components (Table 3). However, the relationships between the principal components and the hemicellulose or cellulose parameters may not always be significant under some torrefied biomass conditions, likely due to the nature and quantity of these components in the biomass [18,21].
The scores of the components of the different types of biomass under torrefaction conditions display the different TT and tT conditions of hemicellulose and cellulose (Figure 6a,e, respectively). C. lusitanica, D. panamensis, and T. grandis, likely due to greater thermal stability under severe torrefaction conditions (250-10 and 250-12), form a unique group, different from the group formed with biomasses torrefied under light and middle torrefaction, which have similar conditions amongst the two groups. The torrefied biomass of G. arborea and V. ferruginea of form a group with biomasses torrefied under these conditions, different from biomass torrefied at 200 and 225 °C probably due to lesser thermal stability under condition 225-10 [5,18,21]. Then, the group formed by the different types of biomass torrefied under light and middle conditions, at 200 and 225 °C, respectively, indicate that these are the appropriate torrefaction conditions for those species, since they have the most appropriate parameters for combustion, such as positive correlation with Dmax thermal stability (Table 6).

5. Conclusions

Based on our results, we conclude that the best torrefaction temperatures and times for the tested species are 200 °C for 8, 10, and 12 min and 225 °C for 8, 10, and 12 min, classified as light and medium torrefaction. Under these conditions, optimum thermo-chemical degradation is achieved for using biomass as an energy source, without significantly affecting the chemical composition of the material. In all species, severe torrefaction at 250 °C produced important degradation of the material, especially hemicellulose and part of the cellulose. As such, we do not recommend the use of this temperature in the biomass torrefaction of tropical species. However, behaviour among species presents some differences C. lusitanica, D. panamensis and T. grandis showed higher thermal stability that G. arborea and V. ferruginea.

Acknowledgments

The author thank the Vicerrectoría de Investigacion y Extension of the Instituto Tecnologico de Costa Rica and the Comsejo Nacional de Rectores (CONARE) for their financial support.

Author Contributions

Ana Rodriguez-Zúñiga and Róger Moya conceived and designed the experiments; Ana Rodriguez-Zúñiga and Róger Moya performed the experiments; Johanna Gaitán-Álvarez and Allen Puente-Urbina analyzed the data; Ana Rodriguez-Zúñiga and Róger Moya contributed reagents/materials/analysis tools; Johanna Gaitán-Álvarez and Róger Moya wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Yue, Y.; Singh, H.; Singh, B.; Mani, S. Torrefaction of sorghum biomass to improve fuel properties. Bioresour. Technol. 2017, 232, 372–379. [Google Scholar] [CrossRef] [PubMed]
  2. Puig-Arnavat, M.; Shang, L.; Sárossy, Z.; Ahrenfeldt, J.; Henriksen, U.B. From a single pellet press to a bench scale pellet mill—Pelletizing six different biomass feedstocks. Fuel Process. Technol. 2016, 142, 27–33. [Google Scholar] [CrossRef] [Green Version]
  3. Eseltine, D.; Thanapal, S.S.; Annamalai, K.; Ranjan, D. Torrefaction of woody biomass (Juniper and Mesquite) using inert and non-inert gases. Fuel 2013, 113, 379–388. [Google Scholar] [CrossRef]
  4. Ren, S.; Lei, H.; Wang, L.; Bu, Q.; Chen, S.; Wu, J. Thermal behaviour and kinetic study for woody biomass torrefaction and torrefied biomass pyrolysis by TGA. Biosyst. Eng. 2013, 116, 420–426. [Google Scholar] [CrossRef]
  5. Chen, W.H.; Peng, J.; Bi, X.T. A state-of-the-art review of biomass torrefaction, densification and applications. Renew. Sustain. Energy Rev. 2015, 44, 847–866. [Google Scholar] [CrossRef]
  6. Medic, D.; Darr, M.; Shah, A.; Potter, B.; Zimmerman, J. Effects of torrefaction process parameters on biomass feedstock upgrading. Fuel 2012, 91, 47–154. [Google Scholar] [CrossRef]
  7. Wang, G.; Luo, Y.; Deng, J.; Kuang, J.; Zhang, Y. Pretreatment of biomass by torrefaction. Chin. Sci. Bull. 2011, 56, 1442–1448. [Google Scholar] [CrossRef]
  8. Peng, J.H.; Bi, X.T.; Sokhansanj, S.; Lim, C.J. Torrefaction and densification of different species of softwood residues. Fuel 2013, 111, 411–421. [Google Scholar] [CrossRef]
  9. Van der Stelt, M.J.C.; Gerhauser, H.; Kiel, J.H.A.; Ptasinski, K.J. Biomass upgrading by torrefaction for the production of biofuels: A review. Biomass Bioenergy 2011, 35, 3748–3762. [Google Scholar] [CrossRef]
  10. Chew, J.J.; Doshi, V. Recent advances in biomass pretreatment–Torrefaction fundamentals and technology. Renew. Sustain. Energy Rev. 2011, 15, 4212–4222. [Google Scholar] [CrossRef]
  11. Ciolkosz, D.; Wallace, R. A review of torrefaction for bioenergy feedstock production. Biofuel Bioprod. Biorefin. 2011, 5, 317–329. [Google Scholar] [CrossRef]
  12. Gaitán-Álvarez, J.; Moya, R.; Rodríguez-Zúñiga, A.; Puente-Urbina, A. Characterization of torrefied biomass of five reforestation species (Cupressus lusitanica, Dipteryx panamensis, Gmelina arborea, Tectona grandis and Vochysia ferruginea) in Costa Rica. Bioresources 2017, 12, 7566–7589. [Google Scholar] [CrossRef]
  13. Da Silva, C.M.S.; Carneiro, A.D.; Pereira, B.L.C.; Vital, B.R.; Alves, I.C.N.; de Magalhaes, M.A. Stability to thermal degradation and chemical composition of woody biomass subjected to the torrefaction process. Eur. J. Wood Prod. 2016, 74, 845–850. [Google Scholar] [CrossRef]
  14. Korošec, R.C.; Lavrič, B.; Rep, G.; Pohleven, F.; Bukovec, P. Thermogravimetry as a possible tool for determining modification degree of thermally treated Norway spruce wood. J. Therm. Anal. Calorim. 2009, 98, 189. [Google Scholar] [CrossRef]
  15. Aydemir, D.; Gunduz, G.; Altuntas, E.; Ertas, M.; Sahin, H.T.; Alma, M.H. Investigating changes in the chemical constituents and dimensional stability of heat-treated hornbeam and uludag fir wood. BioResources 2011, 6, 1308–1321. [Google Scholar]
  16. Vassilev, S.V.; Baxter, D.; Andersen, L.K.; Vassileva, C.G. An overview of the chemical composition of biomass. Fuel 2010, 89, 913–933. [Google Scholar] [CrossRef]
  17. Poudel, J.; Ohm, T.I.; Oh, S.C. A study on torrefaction of food waste. Fuel 2015, 140, 275–281. [Google Scholar] [CrossRef]
  18. Moya, R.; Rodríguez-Zúñiga, A.; Puente-Urbina, A. Thermogravimetric and devolatilisation analysis for five plantation species: Effect of extractives, ash compositions, chemical compositions and energy parameters. Thermochim. Acta 2017, 647, 36–46. [Google Scholar] [CrossRef]
  19. Gaitán-Álvarez, J.; Moya, R. Characteristics and properties of pellet fabricated with torrefaccioned biomass of Gmelina arborea and Dipterix panamensis at different time. Revista Chapingo 2016, 23, 325–337. [Google Scholar]
  20. Tenorio, C.; Moya, R. Thermogravimetric characteristics, its relation with extractives and chemical properties and combustion characteristics of ten fast-growth species in Costa Rica. Thermochim. Acta 2013, 563, 12–21. [Google Scholar] [CrossRef]
  21. Gaitán-Álvarez, J.; Moya, R.; Puente-Urbina, A.; Rodríguez-Zúñiga, A. Physical and compression properties of pellets manufactured with the biomass of five woody tropical species of Costa Rica torrefied at different temperatures and times. Energies 2017, 10, 1205. [Google Scholar] [CrossRef]
  22. Aragón-Garita, S.; Moya, R.; Bond, B.; Valaert, J.; Tomazello Filho, M. Production and quality analysis of pellets manufactured from five potential energy crops in the Northern Region of Costa Rica. Biomass Bioenergy 2016, 87, 84–95. [Google Scholar] [CrossRef]
  23. Tenorio, C.; Moya, R.; Tomazello Filho, M.; Valaert, J. Application of the X-ray densitometry in the evaluation of the quality and mechanical properties of biomass pellets. Fuel Process. Technol. 2015, 132, 62–73. [Google Scholar] [CrossRef]
  24. Tenorio, C.; Moya, R.; Tomazello-Filho, M.; Valaert, J. Quality of pellets made from agricultural and forestry crops in Costa Rican tropical climates. BioResources 2014, 9, 482–498. [Google Scholar] [CrossRef]
  25. Moya, R.; Rodriguez-Zuñiga, A.; Puente-Urbina, A.; Gaitan-Alvarez, J. Study of light, middle and severe torrefaction and effects of extractives and chemical compositions on torrefaction process by thermogravimetric analyses in five fast-growing plantation of Costa Rica. Energy 2018, 149, 152–160. [Google Scholar] [CrossRef]
  26. Sbirrazzuoli, N.; Vyazovkin, S.; Mititelu, A.; Sladic, C.; Vincent, L. A Study of Epoxy-Amine Cure Kinetics by Combining Isoconversional Analysis with Temperature Modulated DSC and Dynamic Rheometry. Macromol. Chem. Phys. 2003, 204, 1815–1821. [Google Scholar] [CrossRef]
  27. Grønli, M.G.; Várhegyi, G.; Di Blasi, C. Thermogravimetric analysis and devolatilization kinetics of wood. Ind. Eng. Chem. Res. 2002, 41, 4201–4208. [Google Scholar] [CrossRef]
  28. Prins, M.J.; Ptasinski, K.J.; Janssen, F.J. Torrefaction of wood: Part 2. Analysis of products. J. Anal. Appl. Pyrolysis 2006, 77, 35–40. [Google Scholar] [CrossRef]
  29. Arias, B.; Pevida, C.; Fermoso, J.; Plaza, M.G.; Rubiera, F.; Pis, J.J. Influence of torrefaction on the grindability and reactivity of woody biomass. Fuel Process. Technol. 2008, 89, 169–175. [Google Scholar] [CrossRef] [Green Version]
  30. Ramiah, M.V. Thermogravimetric and differential thermal analysis of cellulose, hemicellulose, and lignin. J. Appl. Polym. Sci. 1970, 14, 1323–1337. [Google Scholar] [CrossRef]
  31. Bach, Q.V.; Skreiberg, Ø. Upgrading biomass fuels via wet torrefaction: A review and comparison with dry torrefaction. Renew. Sustain. Energy Rev. 2016, 54, 665–677. [Google Scholar] [CrossRef]
  32. Yang, H.; Yan, R.; Chen, H.; Lee, D.H.; Zheng, C. Characteristics of hemicellulose, cellulose and lignin pyrolysis. Fuel 2007, 86, 1781–1788. [Google Scholar] [CrossRef]
  33. Avni, E.; Coughlin, R.W. Kinetic analysis of lignin pyrolysis using non-isothermal TGA data. Thermochim. Acta 1985, 90, 157–167. [Google Scholar] [CrossRef]
  34. Lee, S.Y.; Kang, I.A.; Doh, G.H.; Kim, W.J.; Kim, J.S.; Yoon, H.G.; Wu, Q. Thermal, mechanical and morphological properties of polypropylene/clay/wood flour nanocomposites. Express Polym. Lett. 2008, 2, 78–87. [Google Scholar] [CrossRef]
  35. Islam, M.S.; Hamdan, S.; Rahman, M.R.; Jusoh, I.; Ahmen, A.S. Dynamic Young’s modulus, morphological, and thermal stability of 5 tropical light hardwoods modified by benzene diazonium salt treatment. BioResources 2011, 6, 737–750. [Google Scholar]
  36. Arteaga-Pérez, L.E.; Grandón, H.; Flores, M.; Segura, C.; Kelley, S.S. Steam torrefaction of Eucalyptus globulus for producing black pellets: A pilot-scale experience. Bioresour. Technol. 2017, 238, 194–204. [Google Scholar] [CrossRef] [PubMed]
  37. McKendry, P. Energy production from biomass (part 2): Conversion technologies. Bioresour. Technol. 2002, 83, 47–54. [Google Scholar] [CrossRef]
  38. Doddapaneni, T.R.; Konttinen, J.; Hukka, T.I.; Moilanen, A. Influence of torrefaction pretreatment on the pyrolysis of Eucalyptus clone: A study on kinetics, reaction mechanism and heat flow. Ind. Crops Prod. 2016, 92, 244–254. [Google Scholar] [CrossRef]
  39. Chen, W.H.; Kuo, P.C. Torrefaction and co-torrefaction characterization of hemicellulose, cellulose and lignin as well as torrefaction of some basic constituents in biomass. Energy 2011, 36, 803–811. [Google Scholar] [CrossRef]
  40. Park, J.; Meng, J.; Lim, K.H.; Rojas, O.J.; Park, S. Transformation of lignocellulosic biomass during torrefaction. J. Anal. Appl. Pyrolysis 2013, 100, 199–206. [Google Scholar] [CrossRef]
  41. Ramos, L.P. The chemistry involved in the steam treatment of lignocellulosic materials. Quim. Nova 2003, 26, 863–871. [Google Scholar] [CrossRef]
  42. Biswas, A.K.; Umeki, K.; Yang, W.; Blasiak, W. Change of pyrolysis characteristics and structure of woody biomass due to steam explosion pretreatment. Fuel Process. Technol. 2011, 92, 1849–1854. [Google Scholar] [CrossRef]
  43. Bach, Q.V.; Tran, K.Q.; Skreiberg, Ø.; Khalil, R.A.; Phan, A.N. Effects of wet torrefaction on reactivity and kinetics of wood under air combustion conditions. Fuel 2014, 137, 375–383. [Google Scholar] [CrossRef]
  44. Bobleter, O. Hydrothermal degradation of polymers derived from plants. Prog. Polym. Sci. 1994, 19, 797–841. [Google Scholar] [CrossRef]
  45. Wyman, C.E.; Decker, S.R.; Himmel, M.E.; Brady, J.W.; Skopec, C.E.; Viikari, L. Hydrolysis of cellulose and hemicellulose. Polysaccharides 2005, 1, 1023–1062. [Google Scholar]
  46. Skreiberg, A.; Skreiberg, Ø.; Sandquist, J.; Sørum, L. TGA and macro-TGA characterisation of biomass fuels and fuel mixtures. Fuel 2011, 90, 2182–2197. [Google Scholar] [CrossRef]
  47. Ball, R.; McIntosh, A.C.; Brindley, J. Feedback processes in cellulose thermal decomposition: Implications for fire-retarding strategies and treatments. Combust. Theory Model. 2004, 8, 281–291. [Google Scholar] [CrossRef]
  48. Shen, J.; Igathinathane, C.; Yu, M.; Pothula, A.K. Biomass pyrolysis and combustion integral and differential reaction heats with temperatures using thermogravimetric analysis/differential scanning calorimetry. Bioresour. Technol. 2015, 185, 89–98. [Google Scholar] [CrossRef] [PubMed]
  49. Stenseng, M.; Jensen, A.; Dam-Johansen, K. Investigation of biomass pyrolysis by thermogravimetric analysis and differential scanning calorimetry. J. Anal. Appl. Pyrolysis 2001, 58, 765–780. [Google Scholar] [CrossRef]
Figure 1. Temperature and time for the torrefaction of the biomass of five fast-growth plantation species of Costa Rica. Note: the numbers in parentheses indicate the abbreviation of this torrefaction condition.
Figure 1. Temperature and time for the torrefaction of the biomass of five fast-growth plantation species of Costa Rica. Note: the numbers in parentheses indicate the abbreviation of this torrefaction condition.
Energies 11 00696 g001
Figure 2. (a,c) Derivative thermogravimetry (DTG) and (b) second derivative (D2TG) parameters for the different woody biomasses analyzed; (d) Devolatilization rate measured by first time derivates of the mass frcationas a function of time. Note: tbd is the start time of the maximum devolatilization rate and Dmax is the maximum devolatilization rate [18].
Figure 2. (a,c) Derivative thermogravimetry (DTG) and (b) second derivative (D2TG) parameters for the different woody biomasses analyzed; (d) Devolatilization rate measured by first time derivates of the mass frcationas a function of time. Note: tbd is the start time of the maximum devolatilization rate and Dmax is the maximum devolatilization rate [18].
Energies 11 00696 g002
Figure 3. Thermogravimetric analysis (TGA) and DTG of biomasses for Cupressus lusitanica (ab), Dipteryx panamensis (cd), Gmelina arborea (ef) and Tectona grandis (gh) and Vochysia guatemalensis (ij), torrefied at different times and temperatures.
Figure 3. Thermogravimetric analysis (TGA) and DTG of biomasses for Cupressus lusitanica (ab), Dipteryx panamensis (cd), Gmelina arborea (ef) and Tectona grandis (gh) and Vochysia guatemalensis (ij), torrefied at different times and temperatures.
Energies 11 00696 g003
Figure 4. Devolatilization rate measured by the first derivative of the mass fraction with respect to time for the biomasses of for Cupressus lusitanica (a), Dipteryx panamensis (b), Gmelina arborea (c) and Tectona grandis (d) and Vochysia guatemalensis (e), torrefied at different times and temperatures.
Figure 4. Devolatilization rate measured by the first derivative of the mass fraction with respect to time for the biomasses of for Cupressus lusitanica (a), Dipteryx panamensis (b), Gmelina arborea (c) and Tectona grandis (d) and Vochysia guatemalensis (e), torrefied at different times and temperatures.
Energies 11 00696 g004
Figure 5. Differential Scanning Calorimetry (DSC) analysis of the torrefaction at different times and temperatures for for Cupressus lusitanica (a), Dipteryx panamensis (b), Gmelina arborea (c), Tectona grandis (d) and Vochysia guatemalensis (e).
Figure 5. Differential Scanning Calorimetry (DSC) analysis of the torrefaction at different times and temperatures for for Cupressus lusitanica (a), Dipteryx panamensis (b), Gmelina arborea (c), Tectona grandis (d) and Vochysia guatemalensis (e).
Energies 11 00696 g005
Figure 6. Relationship between the auto-vector of components 1 and 2 of the multivariate analysis by means of principal components of for Cupressus lusitanica (a), Dipteryx panamensis (b), Gmelina arborea (c) and Tectona grandis (d) and Vochysia guatemalensis (e), torrefied at different times and temperatures of five fast-growth plantations in Costa Rica.
Figure 6. Relationship between the auto-vector of components 1 and 2 of the multivariate analysis by means of principal components of for Cupressus lusitanica (a), Dipteryx panamensis (b), Gmelina arborea (c) and Tectona grandis (d) and Vochysia guatemalensis (e), torrefied at different times and temperatures of five fast-growth plantations in Costa Rica.
Energies 11 00696 g006
Table 1. Chemical composition of five fast-growth plantation species in Costa Rica.
Table 1. Chemical composition of five fast-growth plantation species in Costa Rica.
PropertiesCupressus lusitanicaDipterix panamensisGmelina arboreaTectona grandisVochysia ferruginea
Cellulose (%)64.749.955.654.450.9
Lignin (%)31.420.324.221.9011.2
Ash (%)0.183.040.962.810.99
Carbon (%)50.1848.6448.3949.7749.32
Nitrogen (%)0.270.240.200.200.27
Table 2. Thermogravimetric analysis (TGA) temperatures of biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
Table 2. Thermogravimetric analysis (TGA) temperatures of biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
SpeciesTemperature (°C)Time (min)Ti (°C)Tf (°C)Residual Mass (%)Tonset(hc) (°C)Toffset(hc) (°C)Tsh (°C)Tonset(c) (°C)Toffset(c) (°C)Tm (°C)
Cupressus lusitanica00172.1448.721.0221.2455.4339.3253.8465.8378.8
2008177.2449.822.6231.2454.4345.3345.5418.7383.5
10181.7438.024.1234.0452.3340.1346.4418.1383.5
12191.7453.523.3231.4454.5345.3346.1418.4382.6
2258215.4436.222.8230.9452.4346.5344.6416.4380.8
10183.5412.623.6237.1438.2329.7340.1409.7375.3
12173.5445.325.0245.0439.1337.5341.2413.6378.0
2508161.7437.128.3247.9440.9342.7343.4415.7379.8
10172.6425.331.3266.5425.7263.5333.5413.8371.7
12213.8476.636.1273.5415.8275.2323.3410.7364.4
Dipteryx panamensis00146.3460.918.7239.5375.4315.0238.2468.2372.1
2008194.7431.119.6206.9438.6310.2330.3413.0373.8
10188.2441.321.5206.4443.0307.6330.4416.7375.1
12201.2425.720.2205.2443.1306.3332.4415.6375.1
2258212.8430.920.8211.6440.9316.7333.0411.3373.8
10205.1433.523.4211.0437.9314.1331.2409.2372.5
12206.4446.518.5212.4441.3311.5331.2411.9372.5
2508212.8433.524.1237.6428.4308.9325.7409.3367.3
10206.4438.727.2263.6420.2272.6329.8407.9368.6
12196.0424.433.5266.1413.8272.6232.8404.0362.1
Gmelina arborea00172.1471.520.8249.1385.0305.8258.7417.9349.9
2008194.7410.224.4196.7392.7247.9305.6395.6351.7
10197.3401.124.4225.1410.4247.9301.7401.6346.5
12221.9419.225.5217.9417.2302.4295.9391.7341.4
2258201.2399.826.6227.0411.4303.7305.3381.4341.4
10199.9406.326.4236.3391.9240.1303.9376.0338.8
12207.7424.450.0238.5418.1262.2305.2380.7344.0
2508173.9454.325.8247.9440.9267.4343.4415.7341.4
10198.6442.656.9236.6416.5242.7295.0384.6337.5
12179.1412.856.9188.0495.9255.7294.7386.6344.0
Tectona grandis00164.5473.019.2262.6398.5321.0257.8454.6368.2
2008233.6425.722.1226.6435.2312.8322.0418.8371.2
10219.3430.923.2233.0433.8320.6330.2410.6369.9
12227.1425.723.1225.7434.4316.7320.4413.4366.0
2258198.6438.722.1227.2441.1312.8320.4413.4373.8
10220.6423.126.5233.0430.8312.8329.1409.6369.9
12233.6443.924.2232.0434.8316.7328.6411.9369.9
2508212.8432.225.1240.2434.9308.9330.8414.9373.8
10241.4427.028.8266.0422.4286.8331.9412.0369.9
12272.6430.936.9256.6416.1298.5317.6408.6363.4
Vochysia ferruginea00161.5439.622.3233.7369.6301.3227.2442.9339.3
2008219.3427.022.5220.1414.8301.1301.9407.7350.4
10233.6430.926.2222.0419.1306.3306.3408.1355.6
12223.2424.422.9217.1384.1299.8282.2405.5338.8
2258224.5420.523.7222.3415.6255.7297.9408.4337.5
10224.5401.129.6214.5407.1298.5286.1394.1336.2
12251.8432.224.8237.9401.2245.3294.2400.5346.5
2508245.3415.424.7224.4414.8297.2303.4406.7350.4
10245.1420.530.4228.4401.8253.1288.4398.4340.1
12227.1414.135.3251.7395.4268.7294.8395.7342.7
Table 3. TGA residual masses of the biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
Table 3. TGA residual masses of the biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
SpecieTemperature (°C)Time (min)WTi (%)WTf (%)WTonset(hc) (%)WToffset (hc) (%)WTsh (%)WTonset(c) (%)WToffset(c) (%)WTm (%)
Cupressus lusitanica0090.321.089.720.665.488.120.038.5
200891.222.690.422.365.365.324.739.8
1091.824.191.023.368.565.725.640.5
1292.023.391.323.266.265.725.741.7
2258892.022.891.721.765.166.124.240.9
1092.023.691.121.871.966.523.940.4
1293.325.092.325.572.971.027.543.8
250894.028.392.826.872.171.628.842.5
1093.731.392.131.392.379.432.552.7
1294.136.192.742.192.686.142.762.2
Dipteryx panamensis0090.918.789.635.572.689.718.438.3
200891.419.691.319.374.065.620.636.5
1092.421.592.321.478.169.422.839.6
1292.620.292.619.277.867.620.837.7
225893.120.893.120.221.768.422.139.6
1093.823.493.823.277.070.025.041.1
1293.418.593.318.877.469.120.839.5
250893.424.192.824.482.976.825.946.4
1093.827.292.328.891.783.830.150.9
1293.933.592.334.592.093.435.356.4
Gmelina arborea0089.820.888.026.076.187.223.544.1
200891.424.491.425.689.276.425.445.9
1090.824.490.023.888.475.724.446.1
1292.325.592.425.678.481.327.551.0
225892.226.691.725.777.276.328.249.5
1092.526.491.527.591.376.929.149.0
1293.050.092.350.691.185.154.867.5
250893.925.892.826.891.671.628.872.5
1092.156.991.159.490.986.562.774.4
1292.456.992.350.090.587.560.072.2
Tectona grandis0091.019.288.823.974.489.219.943.2
200891.122.191.321.578.574.522.541.5
1091.523.291.223.076.071.724.544.1
1291.923.191.922.577.175.423.944.2
225892.722.192.422.079.776.723.743.1
1093.126.592.926.180.473.327.445.2
1292.724.292.724.779.574.726.346.2
250893.725.193.225.084.376.326.545.5
1093.628.892.629.391.080.630.252.9
1292.636.993.238.389.686.539.158.8
Vochysia ferruginea0089.622.388.132.374.988.322.252.1
200890.222.590.223.476.076.023.945.7
1090.826.291.226.976.176.127.646.0
1291.022.991.226.476.983.224.352.0
225891.423.791.424.189.378.224.753.6
1092.329.692.629.279.684.030.254.6
1291.724.892.427.792.085.927.952.8
250891.524.792.524.881.679.325.448.9
1092.230.492.932.191.787.232.458.7
1293.535.392.737.491.888.737.462.4
Table 4. Activation energies and pre-exponential factors for the thermal decomposition of hemicellulose and cellulose observed in biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
Table 4. Activation energies and pre-exponential factors for the thermal decomposition of hemicellulose and cellulose observed in biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
SpeciesTemperature (°C)Time (min)HemicelluloseCellulose
AEaR2AEaR2
Cupressus lusitanica002 × 10977.90.9994 × 1019158.30.955
20083 × 10978.50.9958 × 10768.20.999
104 × 10979.80.9939 × 10768.50.999
125 × 10980.80.9945 × 10765.70.999
22582 × 101087.00.9961 × 10981.40.999
101 × 101085.10.9963 × 1017177.70.997
126 × 10984.30.9989 × 1015160.30.999
25083 × 10982.10.9991 × 1016161.10.998
105 × 10876.00.9982 × 1025267.60.973
126 × 10768.20.9966 × 1019201.10.999
Dipteryx panamensis002 × 10866.30.9792 × 108324.70.977
20082 × 1012105.10.9971 × 1012113.40.997
104 × 1013118.20.9973 × 1012119.10.997
123 × 1013117.60.9976 × 1013133.80.997
22581 × 1014124.50.9987 × 1015157.10.994
101 × 1014123.10.9981 × 1019193.40.985
121 × 1013113.50.9984 × 1016164.90.991
25083 × 101089.70.9996 × 1018189.20.989
104 × 10875.00.9999 × 1021227.40.982
122 × 10763.50.9982 × 1028299.90.946
Gmelina arborea003 × 1012109.60.9149 × 1015146.80.777
20087 × 10872.30.9892 × 10977.60.993
108 × 10981.80.9942 × 101196.80.986
121 × 101194.10.9994 × 1022223.10.899
22583 × 101089.11.0004 × 1024244.70.810
104 × 101090.20.9992 × 1032327.90.729
126 × 10656.70.9972 × 1029298.70.760
25083 × 10873.10.9971 × 1016161.10.998
101 × 10651.50.9992 × 1012112.7.70.999
129 × 10224.50.9985 × 1027280.20.856
Tectona grandis002 × 10979.30.9974 × 1022143.60.991
20084 × 1011100.71.0009 × 1014144.90.994
103 × 1011100.11.0006 × 1016167.40.990
121 × 1012105.51.0005 × 1019198.60.971
22583 × 1012109.40.9994 × 1012118.90.996
102 × 1012108.00.9997 × 1012121.40.994
122 × 1012108.50.9994 × 1015153.00.993
25084 × 1011101.830.9994 × 1013130.320.998
104 × 10875.580.9997 × 1016168.650.997
129 × 10879.990.9499 × 1028306.930.935
Vochysia ferruginea009 × 101093.160.9983 × 1026225.200.901
20086 × 10871.850.9967 × 1011104.781.000
106 × 10981.670.9992 × 10978.040.999
124 × 10869.730.9714 × 1024244.370.996
22584 × 101088.960.9991 × 10971.990.995
105 × 10980.920.9991 × 1030303.550.985
123 × 10763.220.9981 × 1020198.030.993
25082 × 101183.230.9971 × 1013105.550.990
101 × 10868.601.0001 × 1027274.730.981
122 × 10653.100.9991 × 1036376.890.958
Table 5. Time to reach the maximum devolatilization rate determined by thermogravimetric analysis (TGA) experiments of the biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
Table 5. Time to reach the maximum devolatilization rate determined by thermogravimetric analysis (TGA) experiments of the biomasses of five fast-growth plantation species in Costa Rica torrefied at different times and temperatures.
SpeciesTemperature (°C)Time (min)Time Max. (min)Dmax (% wt/min)
Cupressus lusitanica0018.3317.3
200818.714.7
1018.814.1
1218.714.8
225818.616.1
1018.319.2
1218.318.8
250818.318.4
1017.08.2
1217.615.1
Dipteryx panamensis0018.018.6
200818.318.0
1018.318.2
1218.319.5
225818.320.7
1018.320.7
1218.221.1
250818.022.7
1018.020.5
1217.816.1
Gmelina arborea0016.716.9
200817.016.6
1016.814.5
1216.517.3
225816.617.9
1016.420.2
1216.614.0
250816.518.1
1014.413.7
1216.68.4
Tectona grandis0017.715.8
200817.914.6
1017.915.0
1217.715.8
225818.219.6
1018.119.3
1218.020.1
250818.120.2
1018.021.8
1217.616.5
Vochysia ferruginea0016.514.5
200817.015.7
1017.114.8
1216.416.2
225816.414.5
1016.416.6
1216.816.4
250817.017.3
1016.616.9
1216.417.9
Table 6. Matrix of the multivariate analysis correlations for all variables evaluated of biomass torrefied at different times and temperatures of five fast-growth plantations species in Costa Rica.
Table 6. Matrix of the multivariate analysis correlations for all variables evaluated of biomass torrefied at different times and temperatures of five fast-growth plantations species in Costa Rica.
VariableCupressus LusitanicaDipteryx panamensisGmelina arboreaTectona grandisVochysia ferruginea
C1C2C1C2C1C2C1C2C1C2
Ti (°C)---−0.92 **--−0.83 **--−0.80 **
Tm (°C)−0.90 **-−0.89 *-------
Tf (°C)---0.79 **---−0.71 *--
Tsh (°C)−0.91 **-−0.78 **---0.83 **---
Toffset(hc) (°C)−0.96 **-−0.69 **−0.69 *---0.94 **-−0.93 **
Tonset(c) (°C)-−0.97 **−0.78 **--−0.87 **-0.88 **-−0.94 **
Toffset(c) (°C)-0.89 **-0.97 **---−0.78 **−0.69 *-
Tonset(hc) (°C)0.97 **-0.95 **----−0.69 *--
WTsh (%)0.97 **-----−0.91 **-0.76 *-
WTi (%)0.81 *--−0.87 **-−0.70 *--0.96 **-
WTm (%)0.98 **-0.85 **-0.87 **-−0.96 **-0.87 **-
WTf (%)0.98 **-0.80 **-0.96 **-−0.98 **-0.91 **-
WTonset(hc) (%)0.69 *--−0.85 **-−0.76 *−0.66 *0.71 *0.78 **-
WToffset(hc) (%)0.97 **-0.91 **-0.93 **-−0.93 **-0.68 *-
WTonset(c) (%)-0.79 *0.96 **--0.79 *-−0.88 *-0.74 *
WToffset (c) (%)0.96 **-0.75 *−0.64 *0.96 **-−0.98 **-0.94 **-
Ea Hemicellulose−0.72 *-−0.92 **-−0.93 **--0.75 *−0.73 *-
Ea Cellulose0.73 *-0.86 **-0.69 *-−0.74 *-0.75 *-
Residual mass (%)0.98 **-0.80 * 0.96 **-−0.98 **-0.91 **-
Time max (min)−0.77 *-−0.95 **-−0.64 *--0.74 *--
Rate max (wt/%)----−0.83 **---0.79 *-
Percentage of variance60.8816.4652.1831.4944.5218.2846.3646.3647.4547.45
Cumulative variance60.8877.3552.1883.6744.5262.8032.6378.9926.6674.11
Note: C1: correlations of component 1; C2: correlations of component 2. * Significance at 95%, ** significance at 99%, - not present significance.

Share and Cite

MDPI and ACS Style

Gaitán-Álvarez, J.; Moya, R.; Puente-Urbina, A.; Rodriguez-Zúñiga, A. Thermogravimetric, Devolatilization Rate, and Differential Scanning Calorimetry Analyses of Biomass of Tropical Plantation Species of Costa Rica Torrefied at Different Temperatures and Times. Energies 2018, 11, 696. https://doi.org/10.3390/en11040696

AMA Style

Gaitán-Álvarez J, Moya R, Puente-Urbina A, Rodriguez-Zúñiga A. Thermogravimetric, Devolatilization Rate, and Differential Scanning Calorimetry Analyses of Biomass of Tropical Plantation Species of Costa Rica Torrefied at Different Temperatures and Times. Energies. 2018; 11(4):696. https://doi.org/10.3390/en11040696

Chicago/Turabian Style

Gaitán-Álvarez, Johanna, Róger Moya, Allen Puente-Urbina, and Ana Rodriguez-Zúñiga. 2018. "Thermogravimetric, Devolatilization Rate, and Differential Scanning Calorimetry Analyses of Biomass of Tropical Plantation Species of Costa Rica Torrefied at Different Temperatures and Times" Energies 11, no. 4: 696. https://doi.org/10.3390/en11040696

APA Style

Gaitán-Álvarez, J., Moya, R., Puente-Urbina, A., & Rodriguez-Zúñiga, A. (2018). Thermogravimetric, Devolatilization Rate, and Differential Scanning Calorimetry Analyses of Biomass of Tropical Plantation Species of Costa Rica Torrefied at Different Temperatures and Times. Energies, 11(4), 696. https://doi.org/10.3390/en11040696

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop