Relationship between Calorific Value and Elementary Composition of Torrefied Lignocellulosic Biomass
In this study, the relationship between calorific value and elementary composition of torrefied oil palm wastes (empty fruit bunches, mesocarp fiber and kernel shell) and other lignocellulosic biomass is discussed. Several correlations for calorific value vs. elementary composition for biomass were examined for their applicability to torrefied lignocellulosic biomass. One of the correlations was selected as the most appropriate for the purpose, based on average absolute error between observed and estimated calorific values. In addition, the triangle plot of carbon, hydrogen and oxygen contents in untreated and pyrolyzed biomass is proposed as an appropriate tool for discussing biomass decomposition behavior.
June 06, 2010; Accepted: July 06, 2010;
Published: October 19, 2010
Biomass is one of the promising renewable energy sources and is utilized as
solid, liquid and gas fuels. Lignocellulosic biomass wastes especially are attracting
interest worldwide, because of their non-edible characteristic. Because of their
availability in Malaysia, oil palm wastes are best among biomass wastes (Yusup
et al., 2009).
In 2008, Malaysia was the second largest producer of palm oil with 17.7 million
tonnes or 41% of the total world supply while Indonesia was the world largest
producer of palm oil with 19.3 million tonnes of oil or 45% of the total world
supply (MPOB, 2008b). In 2008, productive oil palm plantations
in Malaysia covered 4.5 million hectares, a 4.3% increase from the figures for
2007 which stood at 4.3 million hectares (MPOB, 2008a).
The type of biomass produced by the oil palm industry includes empty fruit bunches
(EFB), mesocarp fiber, kernel shell, fronds and trunks. EFB, mesocarp fiber
and kernel shell are either utilized or discarded at palm oil mills. Similarly,
the rest, fronds and trunks, are either utilized or discarded at plantations.
The amount of each type of biomass is summarized in Table 1.
Since the current primary energy supply in Malaysia is about 70 Mtoe (million
ton of oil equivalent), the total oil palm biomass energy potential of 25 Mtoe
may be able to contribute considerably to decrease the consumption of fossil
fuels (natural gas, coal and oil).
In order to utilize biomass wastes efficiently, the following drawbacks about
biomass compared to fossil fuels must be solved properly:
||High energy consumption for collection
||Heterogeneous and uneven composition
||Low calorific value
||Raw material difficult to transport
Since it is very difficult to solve all the problems at the same time, we focus
on the fourth problem in this study. There are a few options to solve this;
the major ones are pelletization, liquefaction and gasification of biomass.
Pelletization includes the following processes: drying, chipping, grinding
and pelletizing of lignocllulosic biomass. Though pelletization is the least
expensive option, there are some problems associated with it; lower heat value
and quality deterioration by moisture (pellet disintegration, moss growth and
bioorganic decomposition). In recent investigations, a low temperature treatment
at 200 to 300°C under an inert atmosphere was found to be effective for
improving the energy density and the shelf life of biomass. The treatment is
called torrefaction and was reported for wood and grass biomass over the past
few years (Couhert et al., 2009; Arias
et al., 2008; Bridgeman et al., 2008;
Prins et al., 2006a-c;
Uslu et al., 2008). Arias
et al. (2008) torrefied woody biomass (eucalyptus) at 240 to 280°C
and found that the grindability of the biomass was improved.
Prins et al. (2006a) proposed a kinetic model
of torrefaction (Prins et al., 2006b) and reported
the details of torrefaction mass balance (Prins et al.,
2006c). Some papers focused on the fuel quality (Bridgeman
et al., 2008) and the feedstock quality for gasification (Couhert
et al., 2009; Prins et al., 2006a)
of the torrefied lignocellulosic biomass. Uslu et al.
(2008) focused on comparison of torrefaction, fast pyrolysis and pelletization
from the viewpoint of the international bioenergy logistics. Currently, experimental
torrefaction studies are mostly conducted on woody and grass biomass; wood dusts
(Uslu et al., 2008), beech (Couhert
et al., 2009; Prins et al., 2006b,
c), eucalyptus (Arias et al.,
2008), willow (Bridgeman et al., 2008; Prins
et al., 2006b, c), larch (Prins
et al., 2006b, c), canary grass (Bridgeman
et al., 2008). Few academic studies have been found for torrefaction
of agricultural lignocellulosic wastes, such as wheat straw (Bridgeman
et al., 2008; Prins et al., 2006b,
c), although, they are among the promising renewable
resources especially in Southern Asia (Yusup et al.,
The calorific value of biomass and biomass-derived fuels is one of the important
fuel properties, which defines the energy density of those fuels. Since the
estimation of this value from the elementary composition has been recognized
as an important step for performance modeling of biomass and biomass-derived
fuels, many correlations have been reported (Channiwala
and Parikh, 2002; Abe, 1988; RITE
Tokyo Central Laboratory, 2005; Demirbas, 2001a;
Selvig and Gibson, 1945; Seyler,
1938; Tilman, 1978; Demirbas et
al., 1997). Nonetheless, no report has been found that correlates the
calorific value of torrefied biomass with its elementary composition.
In this study, we focus on the calorific value and the elementary composition
of torrefied oil palm wastes, such as empty fruit bunches (EFB), mesocarp fiber
and kernel shell of oil palm, which are typical agricultural wastes in Malaysia.
We have surveyed the published correlations of the calorific value of biomass
vs. the elementary composition in order to discuss if those correlations can
be applicable to torrefied biomass. For this purpose we also collected the published
data set of the calorific value and the elementary composition for torrefied
biomass samples (Couhert et al., 2009; Arias
et al., 2008; Bridgeman et al., 2008;
Prins et al., 2006a).
MATERIALS AND METHODS
Biomass samples: Three types of biomass waste were utilized in this study: empty fruit bunches (EFB), mesocarp fibers and kernel shell. These materials were collected at an oil palm plantation in Kelantan, Malaysia in September 2009. They were kept in a refrigerator maintained at temperatures below 5°C and used in this experimental work without any pretreatment.
Torrefaction experiment: Torrefaction of the biomass wastes was carried out using a horizontal tubular type reactor made of stainless steel, with a 100 mm internal diameter. A prescribed amount of biomass waste (6 g) was weighed and put in a ceramic crucible. The crucible was placed at the center of the reactor. After flushing the reactor with nitrogen, the temperature of the reactor was raised to different desired levels, i.e., 220, 250 or 300°C at a constant rate of 10 deg min-1 by an electric furnace surrounding the reactor. The temperature range (220 to 300°C) was chosen because selective decomposition of hemicelluloses occurs between 180 and 300°C. The reason we put the minimum temperature as 220°C is that we may not have a substantial torrefaction rate at less than 220°C. After a 30 min torrefaction, the heater was turned off and the reactor was left to cool down to the ambient temperature. The torrefied sample was then recovered, weighed and kept in an air-tight vessel till the characterization. Throughout the procedure described above, 0.5 L min-1 of nitrogen was flowed through the reactor. The experiment was repeated 3 times.
Measurement: For the three biomass wastes (wet) used in this study, the moisture content and the calorific value were measured. For the dried biomass wastes and the torrefied samples, the calorific value, elementary (CHNS) composition and ash content were measured. The moisture content was measured as follows. A prescribed amount of sample (3 g) was weighed in a ceramic crucible and was placed in an electric oven maintained at 105°C. After drying for 24 h, the sample was weighed every 1 h till the decrease in weight became negligibly small. The calorific value was measured using a bomb calorimeter, model C2000 series manufactured by IKA Werke. The calorific value from a bomb calorimeter is the high heat value (HHV), which includes the latent heat of the vapor emitted from the specimen. Elementary (CHNS) analysis was carried out using CHNS-932 supplied by LECO Corporation. The carbon, hydrogen, nitrogen and sulfur contents were obtained from the analytical experiment. The oxygen content was calculated by the subtraction. The ash content was measured as follows. A prescribed amount of sample (1 g) was weighed in a ceramic crucible and was placed in an electric furnace. The temperature was raised to 700°C. After 3 h, the furnace was turned off and was allowed to cool down. The crucible containing the ash was weighed.
RESULTS AND DISCUSSION
Untorrefied and torrefied samples: The biomass wastes used in this study
and their physical properties are summarized in Table 2. Wahid
(2007) reported figures of 19.1, 18.8 and 20.1 MJ kg-1 as the
calorific value of EFB, mesocarp fiber and kernel shell, respectively. The rather
small difference between this study and the literature is acceptable because
the physical properties of biomass depend on surrounding conditions and harvesting
season (Nunez-Regueira et al., 2001). The elementary
analysis result in Table 2 show fairly close values with those
reported in a previous study (Mahlia et al., 2001).
In this study, three types of oil palm waste were torrefied. The color of EFB
and mesocarp fiber becomes darker as the torrefaction temperature increases,
whereas their shape did not change significantly. Particularly EFB, torrefied
at 300°C, exhibits an almost black color. A similar tendency was observed
for a woody biomass in a previous study (Couhert et al.,
Calorific and CHNS analysis: The results of calorimetry, elementary and ash analyses for the torrefied samples are listed in Table 3. In general, for all three type of biomass waste (EFB, mesocarp fiber and kernel shell), torrefaction resulted in a higher calorific value and a higher carbon content than those of untreated biomass samples (as in Table 2).
Calorific value vs. elementary composition: We surveyed the published correlations of the calorific value (HHV; MJ kg-1) of biomass vs. the elementary composition in order to discuss if those correlations were applicable to torrefied biomass. For simplicity, the correlation that only includes the percentage of carbon, hydrogen and oxygen as expressed by Eq. 1 was selected.
where, C, H and O are the mass percentage of carbon, hydrogen and oxygen in
biomass, respectively; a, b, c and d are the constant parameter. Seven correlations
shown in Table 4 have been acquired from references (Abe,
1988; RITE Tokyo Central Laboratory, 2005; Selvig
and Gibson, 1945; Seyler, 1938; Tilman,
1978; Demirbas et al., 1997). Though the
Dulongs correlation (Selvig and Gibson, 1945) includes
the sulfur percentage term, it has been selected because of its historical significance.
Using those selected correlations, the HHV was calculated and plotted against
the corresponding experimental HHV in Fig. 1-3.
|| Results of calorimetry, elementary and ash analyses
||Comparison between calculated and observed HHV of untreated
||Comparison between calculated and observed HHV of torrefied
The experimental data are from Table 2 and 3
and from references (Couhert et al., 2009; Arias
et al., 2008; Bridgeman et al., 2008;
Prins et al., 2006a). Figure 1
and 2 show the result for the untreated and torrefied biomass
samples, respectively. The HHV of untreated biomass ranges from 17 to 20 MJ
kg-1, which is very common for lignnocellulosic biomass (Fig.
||(a-f) Comparison between calculated and observed HHV of torrefied
biomass (separately plotted)
On the other hand, the HHV of torrefied biomass ranges from 17 to 27 MJ kg-1
(Fig. 2), which is higher than the values of untreated biomass.
Since it is rather difficult to clearly compare the characteristics of each
correlation using Fig. 2, the result of each correlation is
re-plotted separately as shown in Fig. 3a-f.
The average absolute error in each case was calculated to compare the correlations
in Table 4 (Channiwala and Parikh, 2002).
All the correlations can predict the HHV of torrefied biomass within a rather
small range of error, even though these correlations were initially created
for untreated biomass. This can be explained by the fact that torrefaction is
only a partial pyrolysis, in which only hemicellulose decomposes (Prins
et al., 2006a).
Obviously, the best correlation is the modified Tilmans correlation based
on Fig. 3 and the average absolute error in Table
It is worthwhile to mention the following two things. First, the modified Tilmans correlation only considers two terms, i.e., the carbon term and the constant, whereas all other correlations have three terms as listed in Table 4. Second, the modified Tilmans correlation also gives a good estimation for untreated biomass as shown in Fig. 1.
Composition change during torrefaction: The change in elementary composition
has often been expressed using the van Krevelen chart, even for torrefaction
(Bridgeman et al., 2008; Prins
et al., 2006a). In this study, we propose to use the triangle diagram,
which is useful when we discuss removal or mixing of three components substances.
For example, when we mix two substances consisting of three components, the
resulting mixed substance must be on the straight line between the two substances
before the mixing. When we remove a three-component substance from another three-component
substance, the resulting substance must be on the straight line extrapolated
from the two substances.
Based on the idea described above, the elementary composition of untreated
and torrefied biomass is plotted in Fig. 4 using our data
in Table 2 and 3 and the data from references
(Couhert et al., 2009; Arias
et al., 2008; Bridgeman et al., 2008;
Prins et al., 2006a; Demirbas,
2001b). For more intensive discussion, the decomposition range was expanded
from torrefaction (Couhert et al., 2009; Arias
et al., 2008; Bridgeman et al., 2008;
Prins et al., 2006a) to pyrolysis at higher temperatures
In general, the decomposition process of biomass under inert atmosphere proceeds
in three steps; decomposition of hemicellulose (180-300°C), cellulose (240-400°C)
and lignin (280-550°C) (Jyodai, 1993).
Torrefaction is the first step, in which the methoxyl groups of hemicellulose
decompose (Demirbas, 2000). The composition of methoxyl
group is shown by the red box at C = 20 and H = 60 in Fig. 4.
When methoxyl groups are removed by torrefaction, the composition will move
along with the red dotted arrow. The experimental data in Fig.
4 proves the prediction described above. In the second step, the cellulose
decomposition, cellulose is decomposed into methyl glyoxal, acetal, propylene
glycol and isopropyl alcohol successively (Demirbas, 2000)
and removed from the solid phase. In this case, the composition will move along
with the black dotted arrow. This is also proved by the experimental data plotted
in Fig. 4. In the third step, the lignin decomposition, lignin
is decomposed into char and volatile phenols; the major components are 2, 6-dimethoxyphenol
and 4-methyl-2,6-dimethoxyphenol (Balat et al., 2009;
Demirbas, 2001c, 2007, 2009).
In this step, the composition moves along with the pink dotted line. This is
also proved by the experimental data in Fig. 4.
In this study, torrefaction of empty fruit bunches (EFB), mesocarp fiber and kernel shell of oil palm, which are typical agricultural wastes in Malaysia, was experimentally conducted. The relationship between calorific value and elementary composition of the torrefied oil palm wastes and other lignocellulosic biomass was discussed. From several correlations for estimating the calorific value from the elementary composition of biomass, the most appropriate one, the modified Tilmans correlation, was selected. The triangle plot of carbon, hydrogen and oxygen contents in untreated and pyrolyzed biomass is proposed as an appropriate tool for discussing biomass decomposition behavior.
The result and discussion in this study will be helpful for those who will try to utilize oil palm wastes as a solid fuel or as a raw material for further conversion.
In a real torrefaction reactor, the atmosphere cannot be purely inert throughout the reactor because some types of gas, such as H2O, CO2 and CO, are formed by torrefaction and this changes the gas composition in the reactor, specifically at the downstream section. In this sense, further experimental work is required under a mixture of N2, H2O, CO2 and CO.
The authors gratefully acknowledge the support from Universiti Teknologi PETRONAS in carrying out this research. This work was supported financially by the Mitsubishi Foundation.
Abe, F., 1988. The thermochemical study of forest biomass. Bull. Forest Forest Prod. Res. Inst., 352: 1-95.
Arias, B., C. Pevida, J. Fermoso, M.G. Plaza, F. Rubiera and J.J. Pis, 2008. Influence of torrefaction on grindability and reactivity of woody biomass. Fuel Process. Technol., 89: 169-175.
Balat, M., M. Balat, E. Kırtay and H. Balat, 2009. Main routes for the thermo-conversion of biomass into fuels and chemicals. Part 1: Pyrolysis systems. Energy Conversion Manage., 50: 3147-3157.
Bridgeman, T.G., J.M. Jones, I. Shield and P.T. Williams, 2008. Torrefaction of reed canary grass, wheat straw and willow to enhance solid fuel qualities and combustion properties. Fuel, 87: 844-856.
Channiwala, S.A. and P.P. Parikh, 2002. A unified correlation for estimating HHV of solid, liquid and gaseous fuels. Fuel, 81: 1051-1063.
Couhert, C., S. Salvador and J.M. Commandre, 2009. Impact of torrefaction on syngas production from wood. Fuel, 88: 2286-2290.
Demirbas, A., 2000. Mechanisms of liquefaction and pyrolysis reactions of biomass. Energy Conversion Manage., 41: 633-646.
CrossRef | Direct Link |
Demirbas, A., 2001. Biomass resource facilities and biomass conversion processing for fuels and chemicals. Energy Conversion Manage., 42: 1357-1378.
Demirbas, A., 2001. Relationships between lignin contents and heating values of biomass. Energy Conversion Manage., 42: 183-188.
Demirbas, A., 2001. Carbonization ranking of selected biomass for charcoal, liquid and gaseous products. Energy Conversion Manage., 42: 1229-1238.
Demirbas, A., 2007. The influence of temperature on the yield of compounds existing in bio-oils obtained from biomass samples via pyrolysis. Fuel Proc. Technol., 88: 591-597.
Demirbas, A., D. Gullu, A. Caglar and F. Akdeniz, 1997. Estimation of calorific values fuels from lignocellulosics. Energy Sources, 19: 765-770.
Direct Link |
Demirbas, M.F., 2009. Biorefineries for biofuel upgrading: A critical review. Applied Energy, 86: S151-S161.
Direct Link |
Jyodai, S., 1993. Products from Wood Pyrolysis (In Japanese). In: Chemistry: Wood Science Lecture Series 4, Jyodai, S. and K. Sameshima (Eds.). Kaiseisha, Ohtsu, Japan, pp: 120.
MPOB, 2008. Area under oil palm (Mature and immature): 1975‑2008. Malaysian Palm Oil Board. http://econ.mpob.gov.my/economy/annual/stat2008/Area1.2.pdf.
MPOB, 2008. World major producers of palm oil: 1999–2008. Malaysian Palm Oil Board. http://econ.mpob.gov.my/economy/annual/stat2008/World6.8.pdf.
Mahlia, T.M.I., M.Z. Abdulmuin, T.M.I. Alamsyah and D. Mukhlishein, 2001. An alternative energy source from palm wastes industry for Malaysia and Indonesia. Energy Conversion Manage., 42: 2109-2118.
Nunez-Regueira, L., J.A. Rodriguez-Anon, J. Proupin-Castineiras, A. Vilanova-Diz and N. Montero-Santovena, 2001. Determination of calorific values of forest waste biomass by static bomb calorimetry. Thermochemica Acta, 371: 23-31.
Prins, M.J., K.J. Ptasinski and F.J.J.G. Janssen, 2006. More efficient biomass gasification via torrefaction. Energy, 31: 3458-3470.
Prins, M.J., K.J. Ptasinski and F.J.J.G. Janssen, 2006. Torrefaction of wood Part 1. Weight loss kinetics. J. Anal. Applied Pyrolysis, 77: 28-34.
Prins, M.J., K.J. Ptasinski and F.J.J.G. Janssen, 2006. Torrefaction of wood Part 2. Analysis of products. J. Anal. Applied Pyrolysis, 77: 34-40.
RITE Tokyo Central Laboratory, 2005. Development of mix combustion technology of coal and biomass for power plant. Report for Global Environment Protection Technology Project, FY2001-2004.
Selvig, W.A. and I.H. Gibson, 1945. Calorific Value of Coal. In: Chemistry of Coal Utilization, Lowry, H.H. (Ed.). Vol. 1, Wily, New York, pp: 139.
Seyler, C.A., 1938. Petrology and the classification of coal: Pts I and II. Proc. S Wales Inst. Engrs., 53: 254-327.
Tilman, D.A., 1978. Wood as An Energy Resources. Academic Press, New York.
Uslu, A., A.P.C. Faaij and P.C.A. Bergman, 2008. Pre-treatment technologies and their effect on international bioenergy supply chain logistics. Techno-economic evaluation of torrefaction, fast pyrolysis and pelletisation. Energy, 33: 1206-1223.
Wahid, M.B., 2007. Renewable resources from oil palm for the production of biofuels. Proceedings for the International Conference on Biofuels, (ICB`07), Kuala Lumpur, pp: 163-169.
Yusup, S., M.T. Arpin, Y. Uemura, A. Ramli and L. Ismail et al., 2009. Review on agricultural biomass utilization as energy source in Malaysia. Proceedings for the 16th ASEAN Regional Symposium on Chemical Engineering, (RSCE`09), Manila, pp: 86-89.