NC State
BioResources
Wang, Y., Sun, Y., and Wu, K. (2019). "Effects of waste engine oil additive on the pelletizing and pyrolysis properties of wheat straw," BioRes.  14(1), 537-553.

Abstract

This study focused on the reuse of wheat straw and waste engine oil by producing pellets with mixtures of the two products. Oxidative thermogravimetric experiments were carried out after blending the wheat straw with different amounts of the waste engine oil additive. Based on the results of these experiments, the effects of additive contents on the pyrolysis properties were obtained. Based on a single pellet unit, experiments were conducted to make pellets from wheat straw blended with the waste engine oil additive under different moisture content, temperature, and pressure conditions. The influences of additive content on the specific energy consumption, pellet density, tensile strength, and higher heating value (HHV) were investigated based on the experimental data. Finally, comparisons were made between the effects of waste engine oil additive and the additives used in other studies. The results showed that the use of waste engine oil additives had few effects on the pellet density but increased the HHV, and decreased the ignition temperature, specific energy consumption, and tensile strength.


Download PDF

Full Article

Effects of Waste Engine Oil Additive on the Pelletizing and Pyrolysis Properties of Wheat Straw

Yu Wang,* Yu Sun, and Kai Wu

This study focused on the reuse of wheat straw and waste engine oil by producing pellets with mixtures of the two products. Oxidative thermogravimetric experiments were carried out after blending the wheat straw with different amounts of the waste engine oil additive. Based on the results of these experiments, the effects of additive contents on the pyrolysis properties were obtained. Based on a single pellet unit, experiments were conducted to make pellets from wheat straw blended with the waste engine oil additive under different moisture content, temperature, and pressure conditions. The influences of additive content on the specific energy consumption, pellet density, tensile strength, and higher heating value (HHV) were investigated based on the experimental data. Finally, comparisons were made between the effects of waste engine oil additive and the additives used in other studies. The results showed that the use of waste engine oil additives had few effects on the pellet density but increased the HHV, and decreased the ignition temperature, specific energy consumption, and tensile strength.

Keywords: Wheat straw; Pelletizing; Waste engine oil; Pellet quality; Energy consumption; Thermogravimetric analysis

Contact information: School of Mechanical Engineering, Nanjing University of Science and Technology, No. 100 Xiaolingwei Street, Nanjing, 210094 China; *Corresponding author: wy@njust.edu.cn

NOMENCLATURE

dgw Geometric mean diameter

F Factor

Z Factor level

Es Specific energy consumption

D Diameter of the die hole

L Maximum displacement of the pressing shaft

x Displacement

ρ Pellet density

m Pellet weight

d Pellet diameter

l Pellet length

σ Tensile strength

F Load at the fracture

Cv Higher heating value

A Pre-exponential factor

Ea Mean activation energy

R Universal gas constant

T Temperature

W Weight

INTRODUCTION

An effective method to solve the problems of energy waste and environmental pollution caused by burning crop straws in agricultural developing countries or regions is to densify loose raw materials into pellets having high energy density and a regular shape. The densified pellets can be used as solid fuels to generate electricity and provide household heating, and as materials to produce bio-char, bio-diesel, bio-ethanol, etc. At present, problems with the crop straw pelletizing process mainly include high energy consumption, short die life, and low product heating value (Holm et al. 2006; Saidur et al. 2011; Xia et al. 2014). Extensive research has been carried out to find solutions to these problems. These solutions can be divided into three approaches: optimal design for the technological parameters, pre-treatment of the raw material, and the use of additives.

The first method is the optimal design for the technological parameters such as material type, moisture content, particle size and its distribution, temperature, pressure, compression speed, and mold size (Kaliyan and Morey 2009; Zhang et al. 2014). The related research is always conducted with a single pellet unit based on experiments. With optimization targets such as the lowest specific energy consumption, the highest density, tensile strength, and mechanical durability, optimal conditions for the pelletizing process of each type of biomass materials are obtained from variance analysis and regression analysis of the experimental data (Samuelsson et al. 2012; Rudolfsson et al. 2015; Guo et al. 2016; Mandal et al. 2018). This method is easily handled. However, because of the low heating value and high pelletizing energy consumption of the raw materials, the effects of this method are limited. Therefore, some researchers are investigating ways to improve the raw material pelletizing properties.

The second method is pretreatment of the raw material to change or destroy the stable molecular structure and increase the carbon content in the raw material. The goal of pretreatment is to improve the grindability and the higher heating value of the biomass (Chen and Kuo 2010; Phanphanich and Mani 2011). At present, pretreatment methods mainly include torrefaction, hydrothermal carbonization, and biological pretreatment (Poucke et al. 2016; Rudolfsson et al. 2017; Gao et al. 2017). This method has significant effects on the improvement of biomass pelletizing process, especially on the improvement of the product heating value (Poucke et al. 2016; Martín-Lara et al. 2017; Manouchehrinejad and Mani 2018). However, the process is complex.

The third method involves the use of additives. Researchers mainly have focused on finding reasonable additives and investigating the pelletizing properties of the mixture. The additives can be fossil fuels such as coal (Narra et al. 2010), biomass such as sawdust and sugar (Larsson et al. 2015; Ståhl et al. 2016; Rahaman and Salam 2017), polymers such as polyethylene (Emadi et al. 2018), etc. Different effects such as higher heating value, higher strength, lower ash content, and lower energy consumption can be achieved by adding in different additives. With low costs and good effects, the use of additives is a potential method to improve the pelletizing process.

On a global basis, nearly 24 million metric tons of environmentally hazardous waste engine oil are generated each year (Lam et al. 2015). The recycling of the waste engine oil has attracted lots of attention (Arpa et al. 2010). Normally, the price of the waste engine is within 0.5 to 1 USD/gal in the USA, India, and China. With a high heating value, good lubrication, and low price, waste engine oil can potentially be used as an additive to improve the pelletizing process. However, the use of the waste engine oil additive in biomass pelletizing processes has not been reported yet.

In this paper, the effects of waste engine oil additives on the wheat straw pelletizing process was investigated. Experiments were conducted based on a Central Composite Design, and the factor levels were chosen based on published works and real production processes. Thermogravimetric (TG) experiments were carried out first by blending raw materials with different amounts of waste engine oil. Based on these experiments, the kinetic parameters of each pyrolysis process were calculated, and the influence of the additive contents on pyrolysis properties was obtained. The rest of the experiments were carried out with a self-designed single pellet unit. By considering the interaction between the additive content and other factors (moisture content, temperature, and pressure), the effects of additive content on specific energy consumption, pellet density, tensile strength, and higher heating value were investigated. Finally, a comparison between the effects of waste engine oil additives and the additives used in published works was made.

EXPERIMENTAL

Materials

The wheat straw used in this study was collected in Yangzhou, China, in June 2017. The raw materials were naturally air-dried from 9:00 a.m. to 4:00 p.m. for two days, and then kept in plastic sealed bags before use. The waste engine oil (API SN SAE 5W-40, Exxon Mobil Corporation, USA) was filtered with cotton gauzes before use.

Before the experiment, the wheat straw was crushed into particles with a lab-scale crusher, and the particle size distribution was tested based on ANSI/ASAE S319.4 (2012). The geometric mean diameter (dgw) of the crushed material was 0.49 mm. The initial moisture content of the crushed wheat straw was tested with a moisture analyzer (SH10A, Jinghua Instruments, Shanghai, China), and was measured to be 5% ± 1%. Based on the moisture content levels shown in Table 1 and the test scheme shown in Table 2, the test materials for each trial were prepared by adding water and waste engine oil with the help of an electronic analytical balance (JJ224BC, G&G Measurement Plant, Changzhou, China). The wheat straw and the liquid were put into a beaker and mixed with a glass rod. Three copies of the test materials were prepared for each trial and then kept in separate tagged sealed plastic bags. The prepared test materials were kept in a cool place for 24 hours under the temperature within 22 °C to 27 °C before use.

Device

An apparatus including a single pellet unit and a universal testing machine was developed for use in previous studies (Wang et al. 2016; 2017; 2018). This device can be used to produce densified biomass pellets with different types of raw materials under different technological parameters. In this study, the diameter of the die hole was 10 mm; compression velocity was 20 mm/min; the weight of the raw material during one compression process was 2 g.

Test Schemes

The experiments were carried out based on a Central Composite Design (CCD). There were three duplications for each trial, and the average value of each three duplications was taken as the final result. The level codes of each factor are shown in Table 1, and the test scheme is shown in Table 2. In Table 1,.

Table 1. Factor Level Codes

Oxidative Thermogravimetric Analysis

Five samples were taken from the crushed wheat straw, and each weighed 5 ± 0.1 g. Based on the additive content levels in Table 1, different amounts of waste engine oil were added to each sample. The five mixtures were kept in five sealed bags respectively after they were well mixed. The five prepared samples were kept in a cool place for at least 24 hours, and the test materials for TG analysis were finally prepared.

The TG experiments were carried out with a TG analyzer (TGA/SDTA851E, Mettler Toledo, Zurich, Switzerland) at a linear heating with a heating rate of 20 °C/min under the atmosphere of air, from 50 °C to 600 °C, and the weight change of each sample was recorded. Based on the relationship between sample weight and temperature, the TG curve and derivative thermogravimetric (DTG) curve were obtained. Furthermore, kinetic parameters for each of the five samples were calculated, and the effects of additive content on the pyrolysis of wheat straw were obtained.

Specific Energy Consumption

The specific energy consumption is the energy consumption for producing unit weight pellets. The specific energy consumption is given by Eq. 1,

where Es is the specific energy consumption (MJ/kg), D is the mold diameter (m), m is the pellet weight (g), L is the maximum displacement of pressing shaft (m), and x is the displacement (m).

Pellet Density

The pellet density is the unit density of a single pellet. The weight and dimension of the pellet were measured with an electronic balance and a Vernier caliper respectively, and pellet density is obtained according to Eq. 2,

where ρ is the pellet density (kg/m3); m is the pellet weight (kg); d is the pellet diameter (m); l is the pellet length (m).

Tensile Strength

The tensile strength of the pellet was tested using a universal testing machine (Wang et al. 2017). The pellet was put on the platform of the universal testing machine horizontally and compressed at a speed of 5 mm/min until the pellet was broken. The load during the whole process was recorded, and the tensile strength was given by Eq. 3 (Prvulovic et al. 2014),

where σ is the tensile strength (MPa), F is the load at fracture (N), d is the pellet diameter (mm), and l is the pellet length (mm).

RESULTS AND DISCUSSION

Test Results

The pellets made in the experiments are shown in Fig. 1, and test results are shown in Table 2. Based on the data in Table 2, the specific energy consumption, density, tensile strength, and higher heating value are analyzed in the following sections.

Table 2. Test Scheme and Test Results

Fig. 1. Pellets made in the experiment

Oxidative Thermogravimetric Analysis

The TG curves and related DTG curves obtained from the experiments are plotted in Fig. 2.

Fig. 2. TG/DTG curves of five samples with different additive contents (a) 0% additives included; (b) 5% additives included; (c) 10% additives included; (d) 15% additives included; (e) 20% additives included

The temperature corresponding to each point IG is the ignition temperature for each material (Wang et al. 2009). Points A, B, C, and D are inflection points and peaks of the DTG curves. These points indicate the change of the mass loss rate of the sample. Points A, B, C, and D correspond to the pyrolysis of hemicellulose, cellulose, lignin, and charcoal, respectively (Chen and Kuo 2010; Lajili et al. 2014). The temperatures of these points are shown in Table 3.

Table 3. The Temperature of the Points in TG/DTG Curves

Figure 2 and Table 3 show that the additive contents did not affect the temperature at which each component decomposed. The average decomposition temperatures of hemicellulose, cellulose, lignin, and charcoal were 292.3 °C, 313.7 °C, 415.8 °C, and 445.0 °C, respectively. The ignition temperature decreased with increasing additive content, but the decreasing rate slowed down gradually, as shown in Fig. 3.

Fig. 3. Effects of additive content on ignition temperature

Figure 2 shows that increasing additive contents did not change the shape of the TG curve and DTG curve. However, compared with point B, the mass loss rate at point A increased with increasing additive content. Therefore, the waste engine oil decomposed at the temperature of point A, which was in accordance with that of hemicellulose.

Previous research has proved that the pyrolysis process of biomass materials is a first-order reaction and can be expressed as Eq. 4 (Chen and Kuo 2010; Gil et al. 2010; Jeguirim et al. 2014; Oyedun et al. 2014; Li et al. 2016; Maia and Morais 2016; Pan et al. 2016).

where A is the pre-exponential factor (min-1), Ea is the mean activation energy (kJ/mol), R is the universal gas constant (R=8.31 J.mol-1.K-1), T is the temperature (K), t is time (s), and α is the mass loss fraction, which can be calculated by Eq. 5,

where W0 is the initial sample weight (g), Wt is the current sample weight (g), and Wf is the final sample weight (g).

For the TG experiment at a linear heating rate β=dT/dt, Eq. 4 can be rewritten as:

With the Coats-Redfern method (Li et al. 2016), Eq. 6 can be represented by the following integral form:

For the temperature and the mean activation energy in this experiment, . Therefore, Eq. 7 can be rewritten as:

Eq. 8 can be simplified as,

where, .

Therefore, Ea and A can be obtained by plotting Y versus X. Plots of Y against X for five samples are shown in Fig. 4 (Wang et al. 2009; Gil et al. 2010; Maia and Morais 2016; Mishra and Mohanty 2018).

Fig. 4. Plots of Y against X for five samples

Figure 4 shows that all five pyrolysis processes could be divided into three stages and could be expressed by three first-order reactions. Combined with the temperature for several special points listed in Table 3, the three stages included: Stage 1, volatiles, decomposition of hemicellulose, waste engine oil, and cellulose (volatiles, and readily combustion parts of char); Stage 2, decomposition of lignin (readily combustion parts of char); Stage 3, combustion of charcoal (not readily combustion parts of char) (Gil et al. 2010; Lajili et al. 2014).

Table 4. Fitted Equations of Different Stages and Related Kinetic Parameters for Five Samples

Linear fitting was performed for each stage of the five samples. Based on the results of fitting, the mean activation energy and the pre-exponential factor were obtained. The fitted equations of different stages and related kinetic parameters for the five samples are presented in Table 4. From the calculated results listed in Table 4, no obvious monotonous relationship was observed between the additive content and both the mean activation energy and pre-exponential factor.

Specific Energy Consumption

The results of the specific energy consumption shown in Table 2 were processed by variance analysis. A quadratic model was a good fit for the data. The regression equation is expressed as Eq. 10 with significant terms. For this equation, the regression factor R2 was equal to 0.9732, which suggested that Eq. 10 can provide good predictions. The F test indicated that Eq. 10 is highly statistically significant (p < 0.0001). The lack of fit value was equal to 0.5365, which meant that Eq. 10 fits well with the experimental data.

where Es is the specific energy consumption (MJ/kg); Z1, Z2, Z3, and Z4 represented moisture content, temperature, pressure, and additive content, respectively.

Equation 10 showed that the specific energy consumption decreased first and then increased with the increase of temperature, reaching the minimum when the temperature level was 0.07. This behavior was in accordance with the results of previous research (Wang et al. 2017). There were significant interactions between the pressure and the additive content. In order to investigate the influence of additive content on the specific energy consumption, the partial derivative of specific energy consumption with respect to Z4 was shown as Eq. 11.

Based on Eq. 11, the equation of specific energy consumption (Eq. 10) is rewritten as

where, CEs1=-880-420Z3, and CEs2 is the integral constant.

Based on Eq. 12, the specific energy consumption is plotted in Fig. 5 with the abscissa of Z4, and the ordinate of CEs1.

Fig. 5. Effects of additive content on specific energy consumption

In the biomass pelletizing process, most of the energy is used to overcome the friction between the materials and the die wall. This high friction is also one of the reasons for the die’s short lifespan. Moisture in raw materials is the natural lubricant in the biomass pelletizing process which can reduce the friction and thus reduce energy consumption (Hu et al. 2013). However, moisture content should be controlled within a reasonable range to ensure product quality. With good lubrication properties, additional waste engine oil additives can achieve better effects.

Figure 5 shows that the specific energy consumption decreased with increasing additive content. This phenomenon was more significant with a high compression pressure (corresponding to a small CEs1). However, the additive content had few effects on the specific energy consumption under a low compression pressure. This is different than the effect of moisture content (Wang et al. 2017). In real production processes, enough compressive pressure (normally no less than 30 MPa) is needed to ensure the product’s mechanical properties are acceptable. Thus, the addition of the waste engine oil to the pelletizing process is a considerable way to reduce energy consumption.

Pellet Density

The data of pellet density were processed by variance analysis and some insignificant terms were ignored. Results showed that a quadratic model was a good fit for the data. The regression equation is expressed as Eq. 13 with significant terms. For this equation, the regression factor R2 equals 0.9471, which suggested that Eq. 13 can provide good predictions. The F test indicated that Eq. 13 is highly statistically significant (p < 0.0001). The lack of fit value equals 0.1253, which meant that Eq. 13 fits well with the experimental data.

where ρ is pellet density (kg/m3); Z1, Z2, and Z3 represent moisture content, temperature, and pressure, respectively.

As shown in Table 2, the range of pellet density in this study is within 648 kg/m3 and 1072 kg/m3, which is in accordance with other research (Xia et al. 2016; Stasiak et al. 2017). It can be seen from Eq. 13 that the effects of additive content on pellet density can be ignored. Therefore, waste engine oil cannot improve pellet density in the manner that many other binders such as starch and sugar are able to (Narra et al. 2010; Larsson et al. 2015; Ståhl et al. 2016). Meanwhile, it also does not lead to a decrease in pellet density like other oily additives such as rapeseed cake (Ståhl and Berghel 2011). Furthermore, the additive content does not change the influence of other factors on pellet density.

Tensile Strength

During the experiment, there were obvious cracks in the produced pellets when the moisture content was no less than 20%. Normally, the optimal moisture content for the biomass pelletizing process is between 11% and 15% (Mani et al. 2006; Samuelsson et al. 2012; Guo et al. 2016). Thus, the tensile strength of these pellets was not included in Table 2. Therefore, .

The data were processed by variance analysis, and the regression equation is expressed as Eq. 14 with significant terms. For this equation, the regression factor R2 was equal to 0.9479, which suggested that Eq. 14 can provide good predictions. The F test indicated that Eq. 14 is highly statistically significant (p < 0.0001). The lack of fit value was equal to 0.2783, which meant Eq. 14 fit well with the experimental data.

where σ is the tensile strength (MPa); Z1, Z2, Z3, and Z4 represented moisture content, temperature, pressure, and additive content, respectively.

In order to investigate the influence of additive content on the tensile strength, the partial derivative of the tensile strength with respect to Z4 was shown in Eq. 15.

Based on Eq. 15, the equation for the tensile strength was rewritten as,

where Cσ1=-0.051+0.075Z1 , and Cσ2 is the integral constant.

Based on Eq. 16, the tensile strength is plotted in Fig. 6 with the abscissa of Z4, and the ordinate of Cσ1.

Fig. 6. Effects of additive content on tensile strength

As shown in Fig. 6, the addition of waste engine oil brought a decrease in tensile strength. The maximum decreasing amplitude was approximately 0.8 MPa. There were significant interactions between additive content and moisture content. The influence of additives on the tensile strength was more significant at lower moisture contents. The effects of waste engine oil on the tensile strength are similar to that of rapeseed cake (Ståhl and Berghel 2011). The effects of natural binders (lignin and cellulosic) and mechanical connections in pellets are weakened. Therefore, waste engine oil cannot act as a binder to improve the tensile strength. Extra binders such as starch and microalgae may be more beneficial (Muazu and Stegemann 2017).

Higher Heating Value

The higher heating value (HHV) was tested with a bomb calorimeter (XDLR-6B, Xin Da Company Hebi, China). The data was processed by variance analysis and the regression model is expressed as Eq. 17. For this equation, the regression factor R2 equaled 0.9444. An F test indicated that Eq. 17 is highly statistically significant (p < 0.0001). The lack of fit value equaled 0.2701,

where Cv is the HHV of the mixture (MJ/kg), Z2 is the code of temperature, and Z4 is the code of additive content.

The HHV was only affected by the additive content and temperature and increased linearly as the two factors increased. Based on the decomposition temperature of each constituent listed in Table 3, the temperature of the pelletizing process was relatively low (<150 °C). Therefore, heating during the pelletizing process caused only slight torrefaction, which meant moisture evaporation rather than thermochemical decomposition took place during the pelletizing process. Reduction of volatile matter such as water resulted in a slight increase of the HHV. Theoretically, the HHV of the wheat straw and waste engine oil mixtures is the linear combination of the HHV of these two materials. Theoretical HHV of the mixture is given by Eq. 18,

where Cvm is the HHV of the raw material mixture (MJ/kg), Cvs is the HHV of the wheat straw (MJ/kg), and Cvo is the HHV of the waste engine oil (MJ/kg).

According to the factor code levels listed beforehand, F4 is expressed as the following:

Thus, Eq. 18 can be rewritten as the following:

On the basis of Eq. 17 and Eq. 20, the pellet higher heating value is expressed as Eq. 21 considering the effect of heating during the pelletizing process:

where C’vm is the pellet higher heating value (MJ/kg).

Eq. 21 should be consistent with Eq. 17, and an equation set is obtained:

When the equation set is solved, the HHV of test materials is obtained as shown in Eq. 23:

Therefore, the HHV of the wheat straw and wasted engine oil used in this experiment were 17.32 MJ/kg and 39.72 MJ/kg, respectively.

DISCUSSION

Some studies have focused on finding additives to improve the biomass pelletizing process. These additives can be divided into four types, including fossil additives, oxides, biomass materials, and artificial organics. The effects of these different additives vary.

The first two types of additives can only achieve single effects on the pelletizing process and do not affect energy consumption. Fossil additives such as coal can only increase the pellet heating value (Narra et al. 2010). Oxides such as calcium and magnesium oxides can only help to prevent the corrosion of heaters (Aho et al. 2008).

Commonly used biomass additives include biomass materials rich in lignin, starch, or sugar, such as cassava stem powder, molasses, sawdust, bamboo, (Liu et al. 2013; Larsson et al. 2015; Ståhl et al. 2016; Rahaman and Salam 2017; Avedi et al. 2018) etc. The use of biomass additives is in accordance with the goal of using the energy in biomass resources. The pellet strength and density can be increased, and the energy consumption can be decreased. Nevertheless, the reduction in energy consumption is not as significant as when waste engine oil is used. Additionally, biomass additives have little effect on the pellet heating value.

Waste engine oil is a type of artificial organic additive. In this study, the waste engine oil was recycled as an additive in wheat straw pelletizing process. Recent studies have also focused on other kinds of artificial organic additives. Mišljenović et al. (2015) added waste vegetable oil in spruce pellets and found that the energy value was improved. Emadi et al. (2018) used plastic wastes as additives in the pelletizing process of wheat straw and barley straw. The results showed that the higher heating value and tensile strength were increased. Cheng et al. (2018) included the hazardous waste material coal tar residue in biomass pelletizing process. The results showed that the products presented a high viscosity and higher heating value. These additives have similar effects on the improvement of energy consumption and pellet higher heating value. However, including the waste engine oil led to a decrease in the pellet tensile strength. Thus, a combination of the waste engine oil and biomass additives could have considerable results.

However, because the waste engine oil is environmentally hazardous, the pellets made from the mixture should not be used for household heating or cooking. Instead, they should be handled with specific machines and professionals. The mixed pellets can be further processed by pyrolysis to produce fuels such as gases, oil, and char (Mahinpey et al. 2009; Lam et al. 2016). The amount of waste oil should be controlled, and the suggested value is less than 5% (Mišljenović et al. 2015). Further research should pay attention to the emission of the mixed pellets (Kraiem et al. 2016).

CONCLUSIONS

In this study, the effects of waste engine oil additives on the wheat straw pelletizing process were investigated based on TG analysis and the four-factor central composite experimental design technique. The effects of additive content on pyrolysis properties, specific energy consumption, pellet density, tensile strength, and heating value were obtained.
Heating values of the wheat straw and waste engine oil used in this study were 17.3 MJ/kg and 39.7 MJ/kg, respectively. Pyrolysis processes of wheat straw and its mixture with waste engine oil could be described by three first-order reactions.
The use of waste engine oil additives had few effects on pellet density, but increased the pellet heating value, and decreased the ignition temperature, specific energy consumption, and tensile strength.
Waste engine oil is a potential additive to reduce energy consumption and improve pellet heating value for the wheat straw pelletizing process. However, it cannot act as a binder to improve pellet density and tensile strength. A mixture of waste engine oil and extra binders, such as starch powder, may achieve better results as an additive.

REFERENCES CITED

Aho, M., Vainikka, P., Taipale, R., and Yrjas, P. (2008). “Effective new chemicals to prevent corrosion due to chlorine in power plant superheaters,” Fuel 87(6), 647-654. DOI: 10.1016/j.fuel.2007.05.033

ANSI/ASAE S319.4 (2012). “Method of determining and expressing fineness of feed materials by sieving,” American Society of Agricultural and Biological Engineers, Michigan, USA.

Arpa, O., Yumrutas, R., and Demirbas, A. (2010). “Production of diesel-like fuel from waste engine oil by pyrolitic distillation,” Appl. Energ. 87(1), 122-127, DOI: 10.1016/j.apenergy.2009.05.042

Cheng, J., Zhou, F., Si, T., Zhou, J., and Cen, K. (2018). “Mechanical strength and combustion properties of biomass pellets prepared with coal tar residue as a binder,” Fuel Process. Technol. 179, 229-237. DOI: 10.1016/j.fuproc.2018.07.011

Chen, W. H., and Kuo, P. C. (2010). “A study on torrefaction of various biomass materials and its impact on lignocellulosic structure simulated by a thermogravimetry,” Energy 35(6), 2580-2586. DOI: 10.1016/j.energy.2010.02.054

Emadi, B., Iroba, K. L., and Tabil, L. G. (2018). “Effect of polymer plastic binder on mechanical, storage and combustion characteristics of torrefied and pelletized herbaceous biomass,” Appl. Energ. 198, 312-319. DOI: 10.1016/j.apenergy.2016.12.027

Gao, W., Tabil, L. G., Dumonceaux, T., Espinel, R. S., and Zhao, R. (2017). “Optimization of biological pretreatment to enhance the quality of wheat straw pellets,” Biomass Bioenerg. 97, 77-89. DOI: 10.1016/j.biombioe.2016.12.012

Gil, M. V., Casal, D., Pevida, C., Pis, J. J., and Rubiera, F. (2010). “Thermal behaviour and kinetics of coal/biomass blends during co-combustion,” Bioresource Technol. 101(14), 5601-5608. DOI: 10.1016/j.biortech.2010.02.008

Guo, L., Tabil, L. G., Wang, D., and Wang, G. (2016). “Influence of moisture content and hammer mill screen size on the physical quality of barley, oat, canola and wheat straw briquettes,” Biomass Bioenerg. 94, 201-208. DOI: 10.1016/j.biombioe.2016.09.005

Holm, J. K., Henriksen, U. B., Hustad, J. E., and Sorensen, L. H. (2006). “Toward an understanding of controlling parameters in softwood and hardwood pellets production,” Energ. Fuel. 20(6), 2686-2694. DOI: 10.1021/ef0503360

Hu, J., Lei, T., Shen, S., and Zhang, Q. (2013). “Specific energy consumption regression and process parameters optimization in wet-briquetting of rice straw at normal temperature,” BioResources 8(1), 663-675. DOI: 10.15376/biores.8.1.663-675.

Jeguirim, M., Elmay, Y., Limousy, L., Lajili, M., and Said, R. (2014). “Devolatilization behavior and pyrolysis kinetics of potential Tunisian biomass fuels,” Environmental Progress & Sustainable Energy 33(4), 1452-1458. DOI: 10.1002/ep.11928

Kaliyan, N., and Morey, R.V. (2009). “Factors affecting strength and durability of densified biomass products,” Biomass Bioenerg. 33(3), 337-359. DOI: 10.1016/j.biombioe.2008.08.005

Kraiem, N., Lajili, M., Limousy, L., Said, R., and Jeguirim, M. (2016). “Energy recovery from Tunisian agri-food wastes: Evaluation of combustion performance and emissions characteristics of green pellets prepared from tomato residues and grape marc,” Energy 107, 409-418. DOI: 10.1016/j.energy.2016.04.037

Lajili, M., Limousy, L., and Jeguirim, M. (2014). “Physico-chemical properties and thermal degradation characteristics of agropellets from olive mill by-products/sawdust blends,” Fuel Process. Technol. 126, 215-221. DOI: 10.1016/j.fuproc.2014.05.007

Lam, S. S., Liew, R. K., Cheng, C. K., and Chase, H. K. (2015). “Catalytic microwave pyrolysis of waste engine oil using metallic pyrolysis char,” Applied Catalysis B: Environmental 176-177, 601-617. DOI: 10.1016/j.apcatb.2015.04.014

Lam, S. S., Liew, R. K., Jusoh, A., Chong, C. T., Ani, F. N., and Chase, H. K. (2016). “Progress in waste oil to sustainable energy, with emphasis on pyrolysis techniques,” Renew. Sust. Energ. Rev. 53, 741-753. DOI: 10.1016/j.rser.2015.09.005

Larsson, S., Lockneus, O., Xiong, S., and Samuelsson, R. (2015). “Cassava stem powder as an additive in biomass fuel pellet production,” Energ. Fuel. 29(9), 5902-5908. DOI: 10.1021/acs.energyfuels.5b01418

Li, Y., Xing, X., Xu, B., Xing, Y., Zhang, X., Yang, J., and Xing, J. (2016). “Effect of particle size on co-combustion of municipal solid waste and biomass briquette under N2/O2 and CO2/O2 atmospheres,” Energ. Fuel. 31(1), 932-940. DOI: 10.1021/acs.energyfuels.6b02705

Liu, Z., Liu, X., Fei, B., Jiang, Z., Cai, Z., and Yu, Y. (2013). “The properties of pellets from mixing bamboo and rice straw,” Renew. Energy 55, 1-5. DOI: 10.1016/j.renene.2012.12.014

Maia, A. A. D., and Morais, L. C. D. (2016). “Kinetic parameters of red pepper waste as biomass to solid biofuel,” Bioresource Technol. 204, 157-163. DOI: 10.1016/j.biortech.2015.12.055

Mahinpey, N., Murugan, P., Mani, T., and Raina, R. (2009). “Analysis of bio-oil, biogas, and biochar from pressurized pyrolysis of wheat straw using a tubular reactor,” Energ. Fuel. 23(5), 2736-2742. DOI: 10.1021/ef8010959

Mandal, S., Prasanna Kumar, G. V., Bhattacharya, T. K., Tanna, H. R., and Jena, P. C. (2018). “Briquetting of pine needles (Pinus roxburgii) and their physical, handling and combustion properties,” Waste and Biomass Valorization. DOI: 10.1007/s12649-018-0239-4

Mani, S., Tabil, L. G., and Sokhansanj, S. (2006). “Effects of compressive force, particle size and moisture content on mechanical properties of biomass pellets from grasses,” Biomass Bioenerg. 30(7), 648-654. DOI: 10.1016/j.biombioe.2005.01.004

Manouchehrinejad, M., and Mani, S. (2018). “Torrefaction after pelletization (TAP): Analysis of torrefied pellet quality and co-products,” Biomass Bioenerg. 118, 93-104. DOI: 10.1016/j.biombioe.2018.08.015

Martín-Lara, M. A., Ronda, A., Zamora, M. C., and Calero, M. (2017). “Torrefaction of olive tree pruning: Effect of operating conditions on solid product properties,” Fuel 202, 109-117. DOI: 10.1016/j.fuel.2017.04.007

Mishra, R., and Mohanty, K. (2018). “Pyrolysis kinetics and thermal behavior of waste sawdust biomass using thermogravimetric analysis,” Bioresource Technol. 251, 63-74. DOI: 10.1016/j.biortech.2017.12.029

Mišljenović, N., Mosbye, J., Schüller, R. B., Lekang, O. I., and Salas-Bringas, C. (2015). “Physical quality and surface hydration properties of wood based pellets blended with waste vegetable oil,” Fuel Process. Technol. 134, 214-222. DOI: 10.1016/j.fuproc.2015.01.037

Muazu, R. I., and Stegemann, J. A. (2017). “Biosolids and microalgae as alternative binders for biomass fuel briquetting,” Fuel 194, 339-347. DOI: 10.1016/j.fuel.2017.01.019

Narra, S., Tao, Y., Glaser, C., Gusovius, H. J., and Ay, P. (2010). “Increasing the calorific value of rye straw pellets with biogenous and fossil fuel additives,” Energ. Fuel. 24(9), 5228-5234. DOI: 10.1021/ef100823b

Oyedun, A. O., Tee, C. Z., Hanson, S., and Hui, C. W. (2014). “Thermogravimetric analysis of the pyrolysis characteristics and kinetics of plastics and biomass blends,” Fuel Process. Technol. 128, 471-481. DOI: 10.1016/j.fuproc.2014.08.010

Pan, F., Zhang, J., Chen, H. L., Su, Y. H., Su, Y. H., and Hwang, W. S. (2016). “Thermodynamic calculation among cerium, oxygen, and sulfur in liquid iron,” Scientific Reports 6, 35843. DOI: 10.1038/srep35843

Phanphanich, M., and Mani, S. (2011). “Impact of torrefaction on the grindability and fuel characteristics of forest biomass,” Bioresource Technol. 102(2), 1246-1253. DOI: 10.1016/j.biortech.2010.08.028

Poucke, R. V., Nachenius, R. W., Agbo, K. E., Hensgen, F., Buhle, L., Wachendorf, M., Ok, Y. S., Tack, F. M. G., Prins, W., Ronsse, F., and Meers, E. (2016). “Mild hydrothermal conditioning prior to torrefaction and slow pyrolysis of low-value biomass,” Bioresource Technol. 217, 104-112. DOI: 10.1016/j.biortech.2016.03.014

Prvulovic, S., Gluvakov, Z., Tolmac, J., Tolmac, D., Matic, M., and Brkic, M. (2014). “Methods for determination of biomass energy pellet quality,” Energ. Fuel. 28(3), 2013-2018. DOI: 10.1021/ef402361k

Rahaman, S. A., and Salam, P. A. (2017). “Characterization of cold densified rice straw briquettes and the potential use of sawdust as binder,” Fuel Process. Technol. 158, 9-19. DOI: 10.1016/j.fuproc.2016.12.008

Rudolfsson, M., Stelte, W., and Lestander, T. A. (2015). “Process optimization of combined biomass torrefaction and pelletization for fuel pellet production – A parametric study,” Appl. Energ. 140, 378-384. DOI: 10.1016/j.apenergy.2014.11.041

Rudolfsson, M., Borén, E., Pommer, L., Nordin, A., and Lestander, T. A. (2017). “Combined effects of torrefaction and pelletization parameters on the quality of pellets produced from torrefied biomass,” Appl. Energ. 191, 414-424, DOI: 10.1016/j.apenergy.2017.01.035

Saidur, R., Abdelaziz, E. A., Demirbas, A., Hossain, M. S., and Mekhilef, S. (2011). “A review on biomass as a fuel for boilers,” Renew. Sust. Energ. Rev. 15, 2262-2289. DOI: 10.1016/j.rser.2011.02.015

Samuelsson, R., Larsson, S. H., Thyrel, M., and Lestander, T. A. (2012). “Moisture content and storage time influence the binding mechanisms in biofuel wood pellets,” Appl. Energ. 99, 109-115. DOI: 10.1016/j.apenergy.2012.05.004

Stasiak, M., Molenda, M., Bańda, M., Wiącek, J., Parafiniuk, P., and Gondek, E. (2017). “Mechanical and combustion properties of sawdust—Straw pellets blended in different proportions,” Fuel Process. Technol. 156, 366-375. DOI: 10.1016/j.fuproc.2016.09.021

Ståhl, M., and Berghel, J. (2011). “Energy efficient pilot-scale production of wood fuel pellets made from a raw material mix including sawdust and rapeseed cake,” Biomass Bioenerg. 35(12), 4849-4854. DOI: 10.1016/j.biombioe.2011.10.003

Ståhl, M., Berghel, J., and Granström, K. (2016). “Improvement of wood fuel pellet quality using sustainable sugar additives,” BioResources 11(2), 3373-3383. DOI: 10.15376/biores.11.2.3373-3383

Wang, C., Wang, F., Yang, Q., and Liang, R. (2009). “Thermogravimetric studies of the behavior of wheat straw with added coal during combustion,” Biomass Bioenerg. 33(1), 50-56. DOI: 10.1016/j.biombioe.2008.04.013

Wang, Y., Sun, Y., Wu, K., and Xia, X. (2016). “Optimal design for rice straw briquetting process based on experiments,” in: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: ASME 2016, Charlotte, USA, pp. V02AT03A047.

Wang, Y., Wu, K., and Sun, Y. (2017). “Pelletizing properties of wheat straw blending with rice straw,” Energ. Fuel. 31(5), 5126-5134. DOI: 10.1021/acs.energyfuels.7b00097

Wang, Y., Wu, K., and Sun, Y. (2018). “Effects of raw material particle size on the briquetting process of rice straw,” J. Energy Inst. 91(1), 153-162. DOI: 10.1016/j.joei.2016.09.002

Xia, X., Sun, Y., Wu, K., and Jiang, Q. (2014). “Modeling of a straw ring-die briquetting process,” BioResources 9(4) 6316-6328. DOI: 10.15376/biores.9.4.6316-6328

Xia, X., Sun, Y., Wu, K., and Jiang, Q. (2016). “Optimization of a straw ring-die briquetting process combined analytic hierarchy process and grey correlation analysis method,” Fuel Process. Technol. 152, 303-309. DOI: 10.1016/j.fuproc.2016.06.018

Zhang, M., Song X., Deines, T. W., Pei Z. J., and Wang, D. H. (2014). “Biofuel manufacturing from woody biomass: Effects of sieve size used in biomass size reduction,” J. Biomed. Biotechnol. 2012(2), 581039. DOI: 10.1155/2012/581039

Article submitted: August 8, 2018; Peer review completed: October 28, 2018; Revised version received: November 21, 2018; Accepted: November 22, 2018; Published: November 28, 2018.

DOI: 10.15376/biores.14.1.537-553