+ All Categories
Home > Documents > Torrefaction of pomaces and nut shells

Torrefaction of pomaces and nut shells

Date post: 13-Nov-2023
Category:
Upload: usda-ars
View: 1 times
Download: 0 times
Share this document with a friend
8
Torrefaction of pomaces and nut shells Bor-Sen Chiou a,, Diana Valenzuela-Medina a , Cristina Bilbao-Sainz a , Artur K. Klamczynski a , Roberto J. Avena-Bustillos b , Rebecca R. Milczarek b , Wen-Xian Du b , Greg M. Glenn a , William J. Orts a a Bioproduct Chemistry and Engineering, U.S. Department of Agriculture, Albany, CA 94710, United States b Healthy Processed Foods Research, U.S. Department of Agriculture, Albany, CA 94710, United States highlights Torrefied apple, grape, olive, and tomato pomaces as well as almond and walnut shells. Used response surface methodology (RSM) to examine mass and energy yields. Raw tomato pomace had the largest gross calorific value. RSM models showed mass and energy yields depended more on temperature than time. Energy yields could be predicted from mass loss. article info Article history: Received 30 September 2014 Received in revised form 14 November 2014 Accepted 15 November 2014 Available online 20 November 2014 Keywords: Torrefaction Pomaces Nut shells Response surface methodology Mass and energy yields abstract Apple, grape, olive, and tomato pomaces as well as almond and walnut shells were torrefied at different temperatures and times in a muffle furnace. The fiber content and thermal stability of the raw byproducts were examined and the moisture and ash contents, elemental composition, and gross calorific values of the raw and torrefied samples were characterized. Response surface methodology and a central composite design were used to examine the effects of temperature and time on mass and energy yields of the torrefied byproducts. Raw apple pomace had the highest hemicellulose content, whereas raw grape pomace had the highest lignin content. Raw tomato pomace had the highest gross calorific value because of its high carbon content. Temperature had a larger effect on mass and energy yields than time. Grape pomace generally had the highest mass and energy yields. Also, energy yields of the byproducts could be predicted from mass loss values. Published by Elsevier Ltd. 1. Introduction Torrefaction of biomass has recently received increased interest as a pretreatment process for gasification or as a method for producing a high density fuel as a drop-in replacement for coal. Torrefied biomass has lower oxygen to carbon (O/C) ratios and moisture contents than raw biomass, leading to higher gasification efficiency (Prins et al., 2006a). Also, torrefied biomass has an energy value comparable to low-rank coal. Many torrefaction studies had focused on different wood species (Prins et al., 2006b,c; Almeida et al., 2010; Phanphanich and Mani, 2011; Kim et al., 2012; Hill et al., 2013; Park et al., 2013) and different grass species, such as bamboo (Chen and Kuo, 2010; Wen et al., 2014), reed canary grass (Bridgeman et al., 2008), and Miscanthus (Bridgeman et al., 2010). There had also been torrefaction studies on agricultural byproducts, such as wheat straw (Bridgeman et al., 2008; Sadaka and Negi, 2009; Shang et al., 2012), rice straw (Sadaka and Negi, 2009; Deng et al., 2009), oil palm waste (Uemura et al., 2010; Aziz et al., 2012; Sabil et al., 2013; Chin et al., 2013), sugarcane bagasse (Chen et al., 2012), and corn stover (Medic et al., 2012a,b). A previ- ous study had also examined torrefaction of non-lignocellulose waste, such as chicken litter and sludge (Dhungana et al., 2012). Although there had been many studies that involved torrefac- tion of biomass from different sources, there had been only a cou- ple that focused on pomaces and nut shells (Pala et al., 2014; Arnsfeld et al., 2014). Pomaces are currently used in different applications, such as animal feed (tomato), pectin production (apple), or as fertilizers on crop fields (grape and olive). Also, nut shells are usually burned as fuel. In a previous study on torrefac- tion of pomace, Pala et al. (2014) compared hydrothermal cabon- ization with dry torrefaction of grape pomace. They found that hydrothermal carbonization produced samples with greater high heating values, but lower energy yields than those produced from dry torrefaction. Also, Arnsfeld et al. (2014) examined torrefaction http://dx.doi.org/10.1016/j.biortech.2014.11.071 0960-8524/Published by Elsevier Ltd. Corresponding author. E-mail address: [email protected] (B.-S. Chiou). Bioresource Technology 177 (2015) 58–65 Contents lists available at ScienceDirect Bioresource Technology journal homepage: www.elsevier.com/locate/biortech
Transcript

Bioresource Technology 177 (2015) 58–65

Contents lists available at ScienceDirect

Bioresource Technology

journal homepage: www.elsevier .com/locate /bior tech

Torrefaction of pomaces and nut shells

http://dx.doi.org/10.1016/j.biortech.2014.11.0710960-8524/Published by Elsevier Ltd.

⇑ Corresponding author.E-mail address: [email protected] (B.-S. Chiou).

Bor-Sen Chiou a,⇑, Diana Valenzuela-Medina a, Cristina Bilbao-Sainz a, Artur K. Klamczynski a,Roberto J. Avena-Bustillos b, Rebecca R. Milczarek b, Wen-Xian Du b, Greg M. Glenn a, William J. Orts a

a Bioproduct Chemistry and Engineering, U.S. Department of Agriculture, Albany, CA 94710, United Statesb Healthy Processed Foods Research, U.S. Department of Agriculture, Albany, CA 94710, United States

h i g h l i g h t s

� Torrefied apple, grape, olive, and tomato pomaces as well as almond and walnut shells.� Used response surface methodology (RSM) to examine mass and energy yields.� Raw tomato pomace had the largest gross calorific value.� RSM models showed mass and energy yields depended more on temperature than time.� Energy yields could be predicted from mass loss.

a r t i c l e i n f o

Article history:Received 30 September 2014Received in revised form 14 November 2014Accepted 15 November 2014Available online 20 November 2014

Keywords:TorrefactionPomacesNut shellsResponse surface methodologyMass and energy yields

a b s t r a c t

Apple, grape, olive, and tomato pomaces as well as almond and walnut shells were torrefied at differenttemperatures and times in a muffle furnace. The fiber content and thermal stability of the raw byproductswere examined and the moisture and ash contents, elemental composition, and gross calorific values ofthe raw and torrefied samples were characterized. Response surface methodology and a centralcomposite design were used to examine the effects of temperature and time on mass and energy yieldsof the torrefied byproducts. Raw apple pomace had the highest hemicellulose content, whereas raw grapepomace had the highest lignin content. Raw tomato pomace had the highest gross calorific value becauseof its high carbon content. Temperature had a larger effect on mass and energy yields than time. Grapepomace generally had the highest mass and energy yields. Also, energy yields of the byproducts could bepredicted from mass loss values.

Published by Elsevier Ltd.

1. Introduction such as wheat straw (Bridgeman et al., 2008; Sadaka and Negi,

Torrefaction of biomass has recently received increased interestas a pretreatment process for gasification or as a method forproducing a high density fuel as a drop-in replacement for coal.Torrefied biomass has lower oxygen to carbon (O/C) ratios andmoisture contents than raw biomass, leading to higher gasificationefficiency (Prins et al., 2006a). Also, torrefied biomass has an energyvalue comparable to low-rank coal. Many torrefaction studies hadfocused on different wood species (Prins et al., 2006b,c; Almeidaet al., 2010; Phanphanich and Mani, 2011; Kim et al., 2012; Hillet al., 2013; Park et al., 2013) and different grass species, such asbamboo (Chen and Kuo, 2010; Wen et al., 2014), reed canary grass(Bridgeman et al., 2008), and Miscanthus (Bridgeman et al., 2010).There had also been torrefaction studies on agricultural byproducts,

2009; Shang et al., 2012), rice straw (Sadaka and Negi, 2009;Deng et al., 2009), oil palm waste (Uemura et al., 2010; Aziz et al.,2012; Sabil et al., 2013; Chin et al., 2013), sugarcane bagasse(Chen et al., 2012), and corn stover (Medic et al., 2012a,b). A previ-ous study had also examined torrefaction of non-lignocellulosewaste, such as chicken litter and sludge (Dhungana et al., 2012).

Although there had been many studies that involved torrefac-tion of biomass from different sources, there had been only a cou-ple that focused on pomaces and nut shells (Pala et al., 2014;Arnsfeld et al., 2014). Pomaces are currently used in differentapplications, such as animal feed (tomato), pectin production(apple), or as fertilizers on crop fields (grape and olive). Also, nutshells are usually burned as fuel. In a previous study on torrefac-tion of pomace, Pala et al. (2014) compared hydrothermal cabon-ization with dry torrefaction of grape pomace. They found thathydrothermal carbonization produced samples with greater highheating values, but lower energy yields than those produced fromdry torrefaction. Also, Arnsfeld et al. (2014) examined torrefaction

B.-S. Chiou et al. / Bioresource Technology 177 (2015) 58–65 59

of almond shells and compared their porous structures to torrefiedwood. They found that shells had smaller pores than wood andthese remained intact after torrefaction.

One advantage of pomaces and nut shells is that they aregenerated in large quantities at their processing facilities. Conse-quently, torrefaction of these byproducts can occur on-site, with-out the need to first transport them elsewhere. This should resultin reduced transportation costs and lead to improved economicfeasibility.

In this study, we torrefied apple pomace, almond shells, grapepomace, olive pomace, tomato pomace, and walnut shells in amuffle furnace. We used a central composite design and responsesurface methodology to examine the effects of torrefaction temper-ature and time on the mass and energy yields of the torrefiedbyproducts. We examined the fiber content and thermal stabilityof the raw byproducts using fiber analysis and TGA, respectively.We also characterized the moisture and ash contents, elementalcomposition, and gross calorific values of the raw and torrefiedsamples using TGA, elemental analysis, and bomb calorimetry,respectively.

2. Methods

2.1. Sample preparation

The apple, grape, olive, and tomato pomaces were obtainedfrom Treetop (Oxnard, CA), Sonoma Ceuticals (Santa Rosa, CA),California Olive Ranch (Oroville, CA), and Campbell Soup (Dixon,CA), respectively. The almond and walnut shells were obtainedfrom RPAC Almonds (Los Banos, CA) and Berkeley Bowl (Berkeley,CA), respectively. Each byproduct was dried in an oven at 55 �C forat least 24 h until it reached a steady mass value. The sample wasground and sieved (20 mesh) to produce particles less than 850 lmin size. The sample was then placed in a dessicator at room tem-perature (23 �C) until further use.

2.2. Torrefaction of byproducts

An Isotemp muffle furnace (Fisher Scientific, Philadelphia, PA)was used to perform the torrefaction tests. In each test, 3 g ofbyproduct was placed in an aluminum pan and the pan was placedin the furnace. The furnace was purged with nitrogen gas at a flowrate of 140 ml/min for 20 min prior to and during the torrefactiontest. The furnace was then set to the torrefaction temperature. Thesample temperature was monitored using a thermocouple posi-tioned next to the sample. The torrefaction start time began oncethe sample temperature reached 200 �C. After the test, the samplewas placed in a desiccator at room temperature for 60 min prior tothe measurement of its weight.

2.3. Design of experiments

Response surface methodology using Minitab (State College, PA)software (version 14.12) was used to determine the effects of twofactors, torrefaction temperature and torrefaction time, on massand energy yields of the samples. The mass yield of the samplewas determined by:

MY ð%Þ ¼ mTðdafÞ

mRðdafÞ� 100 ð1Þ

where MY is mass yield, mT(daf) is mass of torrefied sample (dry andash free), and mR(daf) is mass of raw sample (dry and ash free). Theenergy yield of the sample was determined by:

EY ð%Þ ¼MYGCVTðdafÞ

GCVRðdafÞð2Þ

where EY is energy yield, GCVT(daf) is gross calorific value of torr-efied sample (dry and ash free), and GCVR(daf) is gross calorific valueof raw sample (dry and ash free). A central composite design, withthree levels and five center points for a total of 13 runs, was used inthe study. The torrefaction temperatures were 200 �C, 230 �C, and260 �C for apple pomace, due to its lower thermal stability, and230 �C, 260 �C, and 290 �C for the other byproducts. The torrefactiontimes were 20, 40, and 60 min for all samples. A second order modelwas used to fit the response surface. All possible regressions weretried and used to obtain the best fit. The response surface modelswere hierarchical, with all models containing the first order termsof torrefaction temperature and torrefaction time.

2.4. Moisture and ash contents

A TA Instruments TGA 2950 was used to determine moistureand ash contents of the samples. The moisture content was deter-mined by heating the sample at 107 �C for 1 h under a nitrogenflow rate of 40 cm3/min. The ash content was determined by heat-ing the sample at 750 �C for 2 h without any nitrogen flow.

2.5. Fiber analysis

Fiber analysis was performed according to Goering and VanSoest (1970). In summary, the sample (1 g) was refluxed in a neu-tral detergent solution consisting of 30.0 g dodecyl sulfate, sodiumsalt (Sigma–Aldrich, St. Louis, MO), 18.61 g ethylenediaminetetra-acetic acid disodium dehydrate (Sigma–Aldrich), 6.81 g sodiumborate decahydrate (Sigma–Aldrich), 4.56 g disodium hydrogenphosphate, anhydrous (Sigma–Aldrich), and 10.0 ml of 2-ethoxyethanol (Sigma–Aldrich) in 1 L deionized water at 115 �C for60 min. Two milliliter decahydronaphthalene (Sigma–Aldrich)and 0.5 g sodium sulfite, anhydrous (Sigma–Aldrich) were alsoadded before the reflux. The sample was then poured onto a #44filter paper (Whatman, Piscataway, NJ) placed in a filter funnel.The sample was filtered by vacuum and rinsed with hot waterand acetone. The sample, filter paper, and filter were placed in anoven at 100 �C to dry overnight. The remaining residue was theneutral detergent fiber and contained hemicellulose, cellulose,and lignin. The hemicellulose component was removed from theneutral detergent fiber by reflux heating a new sample (1 g) at115 �C for 60 min in 1 L of sulfuric acid and 20 g of hexadecyltrim-ethylammonium bromide (Sigma–Aldrich). The sample was thenpoured onto a fritted filter funnel (60 ml, 40 F) and rinsed withboiling water and then with acetone. The sample and funnel wereplaced in an oven at 100 �C to dry overnight. The remaining residuewas the acid detergent fiber and contained cellulose and lignin. Thehemicellulose content in the sample was determined by subtract-ing the acid detergent fiber content from the neutral detergentfiber content. The cellulose component in the acid detergent fiberwas removed by washing the previous acid detergent fiber sampleleft in the funnel with a 72% (w/w) aqueous sulfuric acid solution.This was done 3 times over 3 h. The sample was then rinsed withhot water. The sample and funnel were placed in an oven at100 �C to dry overnight. The remaining residue was the acid deter-gent lignin and contained lignin. The cellulose content in the sam-ple was determined by subtracting the acid detergent lignincontent from the acid detergent fiber content.

2.6. Thermogravimetric analysis

A TA Instruments (New Castle, DE) thermogravimetric analyzer(TGA) 2950 was used to characterize the thermal stability of thesamples. The samples were conditioned in a 50% relative humiditychamber for at least 48 h prior to each test. Each 9–11 mg samplewas heated from 30 �C to 800 �C at a rate of 10 �C/min. The sample

Fig. 1. TGA curves of mass percent as a function of temperature for raw byproducts.

60 B.-S. Chiou et al. / Bioresource Technology 177 (2015) 58–65

chamber was purged with nitrogen gas at a flow rate of 40 cm3/min.

2.7. Elemental analysis

The elemental analysis tests were performed by ALS Environ-mental (Tucson, AZ).

2.8. Bomb calorimetry

An IKA 2000 oxygen bomb calorimeter was used to measuregross calorific values (GCV) of the samples. The tests wereperformed in isoperibolic mode at 25 �C according to ASTMD5865-11a. For each test, 0.25 g of sample was loaded into the cru-cible and ignited under oxygen atmosphere. The calorimeter wascalibrated with benzoic acid.

3. Results and discussion

3.1. Properties of raw byproducts

The shells generally had lower ash contents than the pomaces.Also, all raw byproducts had comparable moisture contents. This isshown in Table 1, where we present ash and moisture contents ofthe raw byproducts. Walnut shells had the lowest ash content,whereas grape pomace had the highest ash content. Almond shellsalso had relatively low ash content. In contrast, olive and tomatopomaces had relatively high ash contents. Previous studies on tor-refaction of almond shells (Arnsfeld et al., 2014) and grape pomace(Pala et al., 2014) showed slightly higher ash content values thanthose obtained in this study.

The shells had higher neutral detergent fiber contents than thepomaces. This is shown in Table 1, where we present the fiber anal-ysis results for the raw byproducts. Apple pomace had the lowestneutral detergent fiber content since it contained large amountsof monosaccharides, oligosaccharides, and pectin (Gullon et al.,2008). In comparison, almond and walnut shells had the highestneutral detergent fiber contents. In terms of fiber composition,apple pomace had the highest hemicellulose and lowest lignin con-tents. In comparison, grape and tomato pomaces had low hemicel-lulose and high lignin contents.

Apple pomace was the least thermally stable byproduct, withlarge decreases in mass beginning at 200 �C. This is shown inFig. 1, where we plot mass percent as a function of temperaturefor all the samples. All samples showed an initial decrease in massdue to moisture loss. All samples also showed a decrease in massstarting at 200 �C, with apple pomace showing a large and continualdecrease and the other samples showing smaller decreases in value.This decrease in mass was most likely due to hemicellulose degra-dation since apple pomace had the highest hemicellulose contentand showed the largest decrease in mass. Previous studies hadshown that hemicellulose started degrading at 200 �C (Shanget al., 2012; Melkior et al., 2012; Wen et al., 2014), with loss ofacetyl groups (Melkior et al., 2012). Hemicellulose degradation thenbegan to increase rapidly above 250 �C (Chen and Kuo, 2011a,b) and

Table 1Properties of raw byproducts.

Byproducts Moisture (wt%) Ash (wt%) Neutral detergent fiber (wt

Almond shells 6.9 0.98 81.1Apple pomace 8.7 0.64 27.0Grape pomace 6.3 3.3 41.0Olive pomace 5.8 2.3 76.3Tomato pomace 5.8 2.1 54.6Walnut shells 6.7 0.19 86.6

a Gross calorific value (dry and ash free).

became substantial at 300 �C (Chen and Kuo, 2011b; Shang et al.,2012). From Fig. 1, all samples except apple pomace then showeda gradual decrease in mass until 300 �C, after which the massdecreased rapidly in value. The gradual decrease corresponded tocontinued degradation of hemicellulose and initial degradation ofcellulose and lignin. Cellulose had been shown to begin degradingabove 250 �C (Chen and Kuo, 2011a,b; Shang et al., 2012; Melkioret al., 2012; Wen et al., 2014; Shoulaifar et al., 2014), with adecrease in cellulose crystallinity (Ben and Ragauskas, 2012; Wenet al., 2014). Also, TGA experiments showed cellulose had higherweight loss at 275 �C than at 250 �C (Chen and Kuo, 2011b). At300 �C, cellulose showed substantial degradation (Chen and Kuo,2011b; Shang et al., 2012; Wen et al., 2014). Lignin also started todegrade at 270 �C (Shang et al., 2012), although chemical modifica-tions, such as ether bond cleavages (Ben and Ragauskas, 2012; Wenet al., 2014) and demethoxylation (Melkior et al., 2012), began atlower temperatures. However, lignin showed little loss in weight,even at 300 �C (Chen and Kuo, 2011b). From Fig. 1, the rapiddecreases in mass after 300 �C for all samples except apple pomacewere most likely due to the increased degradation of cellulose andlignin. The lower thermal stability of apple pomace resulted in itbeing torrefied at lower temperatures than the other byproducts(see Response Surface Methodology in Section 2).

The GCV of the raw byproducts were comparable to those ofother raw biomass samples (Friedl et al., 2005). This is shown inTable 1, where we present the GCV of the raw byproducts. TheGCV of the sample also depended on its carbon content. Tomatopomace had the highest GCV and carbon content, whereas applepomace had the lowest GCV and carbon content. This is shown inTable 2, where we present the elemental compositions of all sam-ples. Each of the other byproducts also had a gross calorific valuethat correlated with their carbon contents.

3.2. Torrefied byproducts

3.2.1. Mass yieldsAll samples had mass yields that depended more on temperature

than time. This is shown in Fig. 2, where we present response surface

%) Hemicellulose (%) Cellulose (%) Lignin (%) GCVdaf (MJ/kg)a

29.4 48.2 22.4 18.840.1 40.6 19.3 16.6

9.1 27.9 63.0 21.433.9 37.4 28.6 22.313.5 29.1 57.4 25.115.4 53.9 30.7 20.4

Table 2Elementary composition of raw and torrefied byproducts.

Sample Carbon (wt%) Hydrogen (wt%) Nitrogen (wt%) Oxygen (wt%) Sulfur (wt%)

ASa 44.47 6.14 0.47 43.72 0.017AS-230 �C-20 min 48.47 5.98 0.48 41.15 0.013AS-230 �C-40 min 52.05 5.60 0.46 36.84 0.010AS-230 �C-60 min 57.57 4.55 0.58 32.71 <0.010AS-260 �C-20 min 59.55 4.92 0.52 30.19 <0.010AS-260 �C-40 min 61.45 4.01 0.65 30.87 0.013AS-260 �C-60 min 61.46 4.00 0.64 28.47 <0.010AS-290 �C-20 min 63.81 4.33 0.63 25.91 <0.010AS-290 �C-40 min 63.33 3.88 0.66 26.08 <0.010AS-290 �C-60 min 62.32 3.67 0.71 26.36 <0.010

APb 42.25 6.76 0.66 49.73 0.053AP-200 �C-20 min 48.23 6.19 0.81 42.07 0.056AP-200 �C-40 min 50.92 6.01 0.83 39.93 0.056AP-200 �C-60 min 51.23 5.86 0.90 38.96 0.060AP-230 �C-20 min 52.78 5.89 0.92 38.48 0.057AP-230 �C-40 min 54.11 5.52 1.01 36.59 0.058AP-230 �C-60 min 54.22 5.62 1.03 36.74 0.061AP-260 �C-20 min 67.45 3.93 1.65 22.37 0.081AP-260 �C-40 min 65.90 3.28 2.25 23.12 0.093AP-260 �C-60 min 61.42 3.28 2.11 27.42 0.108

GPc 48.24 6.35 1.99 37.63 0.129GP-230 �C-20 min 49.46 5.98 2.24 35.47 0.108GP-230 �C-40 min 51.44 5.60 2.44 33.49 0.166GP-230 �C-60 min 52.75 5.56 2.54 31.42 0.167GP-260 �C-20 min 51.83 5.81 1.97 34.55 0.142GP-260 �C-40 min 56.43 4.93 2.51 27.30 0.150GP-260 �C-60 min 56.57 4.85 2.38 26.93 0.157GP-290 �C-20 min 58.49 4.85 2.36 25.07 0.141GP-290 �C-40 min 58.63 4.42 2.49 25.47 0.151GP-290 �C-60 min 58.45 4.24 2.45 25.98 0.160

OPd 49.26 6.70 1.40 37.25 0.105OP-230 �C-20 min 53.81 6.62 1.86 31.56 0.115OP-230 �C-40 min 56.69 5.89 1.66 29.72 0.096OP-230 �C-60 min 57.26 5.97 1.51 29.79 0.085OP-260 �C-20 min 60.07 5.53 1.62 26.65 0.078OP-260 �C-40 min 60.88 5.07 1.67 25.21 0.104OP-260 �C-60 min 60.19 4.96 1.77 25.74 0.105OP-290 �C-20 min 62.76 4.91 1.72 22.10 0.106OP-290 �C-40 min 63.87 4.30 3.03 21.04 0.141OP-290 �C-60 min 62.26 3.99 1.93 22.33 0.112

TPe 54.54 8.03 2.82 32.50 0.195TP-230 �C-20 min 57.37 7.70 3.02 29.69 0.193TP-230 �C-40 min 59.95 7.35 3.28 27.05 0.167TP-230 �C-60 min 61.34 6.75 3.63 25.10 0.169TP-260 �C-20 min 61.50 6.92 3.62 25.21 0.166TP-260 �C-40 min 65.25 5.67 4.05 21.42 0.160TP-260 �C-60 min 64.05 5.05 4.19 23.46 0.170TP-290 �C-20 min 65.76 6.45 3.89 21.04 0.133TP-290 �C-40 min 64.76 4.09 3.64 22.37 0.129TP-290 �C-60 min 62.72 3.63 4.90 23.86 0.168

WSf 46.28 6.11 0.45 44.79 0.019WS-230 �C-20 min 50.17 6.08 0.30 42.42 <0.010WS-230 �C-40 min 54.20 5.40 0.37 39.37 <0.010WS-230 �C-60 min 54.09 5.18 0.36 39.63 0.010WS-260 �C-20 min 54.84 5.53 0.35 38.77 <0.010WS-260 �C-40 min 59.02 4.61 0.47 34.29 <0.010WS-260 �C-60 min 59.61 3.86 0.45 33.84 0.010WS-290 �C-20 min 61.39 4.61 0.42 32.25 <0.010WS290�C40 min 65.41 3.48 0.42 29.16 <0.010WS290�C60 min 62.07 3.24 0.51 30.84 0.014

a Almond shells.b Apple pomace.c Grape pomace.d Olive pomace.e Tomato pomace.f Walnut shells.

B.-S. Chiou et al. / Bioresource Technology 177 (2015) 58–65 61

plots of mass yields as a function of temperature and time for allsamples. Previous studies had also shown that temperature had agreater effect than time on mass yields (Bridgeman et al., 2008;Pimchuai et al., 2010; Ibrahim et al., 2013). The mass yields also

generally decreased in value to a larger extent at lower tempera-tures than at higher temperatures. This was most likely due to fasterdegradation of hemicellulose at higher temperatures. Consequently,more hemicellulose had degraded after 20 min at 290 �C than at

60

MY (%)

4040

60

80

Time240 255 20270 285Temperature

60

EY (%)

50 40

75

100

Time240 255 20270 285Temperature

60

MY (%)

0 40

50

100

Time200 220 20240 260Temperature

60

EY (%)

0

40

40

80

120

Time200 220 20240 260Temperature

60

MY (%)

40

60

40

80

100

Time240 255 20270 285Temperature

60

EY (%)

6040

80

100

Time240 255 20270 285Temperature

60

MY (%)

4040

60

80

Time240 255 20270 285Temperature

60

EY (%)

60

40

75

Time

90

240 255 20270 285Temperature

60

MY (%)

4040

60

80

Time240 255 20270 285Temperature

60

EY (%)

40

60

40

80

100

Time240 255 20270 285Temperature

60

MY (%)

40

40

60

80

Time240 255 20270 285Temperature

a b

d

f

h

g

i

k

j

e

c

60

EY (%)

40

60

40

80

100

Time240 255 20270 285Temperature

l

Fig. 2. Surface plots of (a) mass yield (MY) for almond shells, (b) energy yield (EY) for almond shells, (c) mass yield for apple pomace, (d) energy yield for apple pomace, (e)mass yield for grape pomace, (f) energy yield for grape pomace, (g) mass yield for olive pomace, (h) energy yield for olive pomace, (i) mass yield for tomato pomace, (j) energyyield for tomato pomace, (k) mass yield for walnut shells, and (l) energy yield for walnut shells as a function of temperature (�C) and time (min).

62 B.-S. Chiou et al. / Bioresource Technology 177 (2015) 58–65

230 �C and the mass yields did not decrease as quickly at 290 �C forlonger times. Also, grape pomace generally had the highest massyields at torrefaction temperatures of 260 �C and 290 �C. This wasmost likely due to grape pomace having high lignin content.

All response surface models for mass yields of the samples hadhigh coefficient of multiple correlation (R2) values, indicating goodfits to the data. The models are shown in Table 3. The R2 values ran-ged from 0.76 for walnut shells to 0.95 for tomato pomace. Also, the

Table 3Response surface models for mass and energy yields of torrefied byproducts.

Response Variables

Constant Tempc Time Temp * Time Temp * Temp Time * Time R2d

Almond shells MYdaf (%)a 814.1 �4.6⁄e �4.2⁄ 1.4 � 10�2⁄ 6.7 � 10�3⁄ – 0.94Apple pomace MYdaf (%) �302.1 4.6 �0.6⁄ – 1.2 � 10�2 - 0.91Grape pomace MYdaf (%) 253.9 �0.5⁄ �2.0⁄ – - 1.9 � 10�2⁄ 0.88Olive pomace MYdaf (%) 904.3 �5.9⁄ �0.2 – 1.0 � 10�2⁄ - 0.89Tomato pomace MYdaf (%) 259.2 �0.6⁄ �1.6⁄ - - 1.5 � 10�2⁄ 0.95Walnut shells MYdaf (%) 256.6 �0.7⁄ �0.5⁄ - - - 0.76Almond shells EYdaf (%)b 663.7 �3.5 �3.5⁄ 1.2 � 10�2⁄ 4.9 � 10�3 - 0.89Apple pomace EYdaf (%) �456.9 6.3 �0.7⁄ - �1.6 � 10�2 - 0.88Grape pomace EYdaf (%) 554.6 �3.2 �0.4⁄ - 5.4 � 10�3 - 0.86Olive pomace EYdaf (%) 931.3 �6.1⁄ �0.2 - 1.1 � 10�2⁄ - 0.91Tomato pomace EYdaf (%) 264.0 �0.6⁄ �1.4⁄ - - 1.2 � 10�2⁄ 0.97Walnut shells EYdaf (%) 50.7 0.9 �0.5 - �2.7 � 10�3 - 0.65

a MYdaf = mass yield (dry and ash free).b EYdaf = energy yield (dry and ash free).c Temp = temperature.d R2 = coefficient of multiple correlation.e * = P (P-value) 6 0.05.

B.-S. Chiou et al. / Bioresource Technology 177 (2015) 58–65 63

mass yield models depended on the specific byproduct. Forinstance, the almond shell model was the only one that containeda temperature–time interaction term and the walnut shell modeldid not contain any interaction or square terms. The other modelscontained either a square term for temperature or a square termfor time. This was most likely due to the different compositions ofthe different byproducts. Previous response surface studies on tor-refaction also showed that mass yield models depended on the spe-cific biomass. For instance, Ren et al. (2012) examined microwavetorrefaction of sawdust pellets and found that mass yield modeldepended only on temperature and time with no interaction orsquare terms. Also, Medic et al. (2012b) examined torrefaction ofcorn stover and found the mass loss model depended on tempera-ture, moisture content, and the square term for temperature. Inaddition, Na et al. (2013) found that the mass loss model for torr-efied oil palm mesocarp fiber depended on temperature and time.

3.2.2. Energy yieldsThe energy yields of the byproducts also depended more on

temperature than time. This is shown in Fig. 2, where we presentthe response surface plots of energy yield as a function of temper-ature and time for all samples. At the torrefaction temperature of230 �C, the energy yields of all samples remained relatively high.At the torrefaction temperature of 260 �C, the energy yields ofthe samples decreased rapidly in value. The energy yields of theapple pomace decreased the most, with values ranging from42.3% at 20 min to 14.9% at 60 min. In comparison, the energyyields of grape pomace decreased the least in value, ranging from92.3% at 20 min to 59.7% at 60 min. At the torrefaction temperatureof 290 �C, the energy yields of the samples did not decrease as rap-idly, with grape pomace retaining the highest values of 71.4% at20 min and 62.6% at 60 min. The reason that grape pomace hadthe highest energy yields at 260 �C and 290 �C was most likelydue to its high mass yields at these temperatures.

The response surface models for energy yields of the samplesalso depended on the specific byproduct, although four of the sixsamples had the same terms. This is shown in Table 3, where wepresent response surface models for energy yields of the samples.The R2 values for all models were also relatively high, indicatinggood fit to the data. The apple, grape, and olive pomaces as wellas walnut shells had energy yield models that depended on thetemperature, time, and the square of temperature terms. In com-parison, the almond shell model also contained the temperature–time interaction term and the tomato pomace model included

the square of time term instead of the square of temperature term.Previous studies also showed that the energy yield modelsdepended on specific samples and torrefaction conditions. Renet al. (2012) studied microwave torrefaction of sawdust pelletsand found that energy yield depended on temperature and time.Na et al. (2013) also found the same dependence of energy yieldon temperature and time for torrefaction of oil palm mesocarpfiber. In addition, Chin et al. (2013) found that energy yield modelsfor acacia, macaranga, oil palm empty fruit bunch, and oil palmtrunk contained at least one of temperature–time interaction,square of temperature, or square of time terms.

3.2.3. Elemental compositionCarbon contents increased in value, whereas hydrogen and oxy-

gen contents decreased in value for torrefied samples. This isshown in Table 2, where we present the elemental compositionof the raw and torrefied samples. The increase in carbon contentsresulted from the decrease in hydrogen and oxygen contents asvolatile components containing these atoms were removed duringtorrefaction. The relative changes in the elemental compositioncould be seen more clearly in a van Krevelen plot of atomic H/Cratio as a function of atomic O/C ratio for raw and torrefied sam-ples. This is shown in Fig. 3. An increase in torrefaction tempera-ture and time resulted in all samples having lower H/C and O/Cratios. Apple pomace showed the largest decrease in H/C and O/Cratios during torrefaction because of the relatively low C contentof raw pomace. Elemental analysis results also showed that applepomace, almond shells, and walnut shells had relatively low sulfurcontents compared to grape, olive, and tomato pomaces.

Gross caloric values of raw and torrefied byproducts were pre-dicted with relatively good accuracy using elemental compositionsand a model developed by Friedl et al. (2005). The model could beused to predict higher heating values (HHV) of biomass from theirC, H, and N contents. HHV is equivalent to gross calorific value.Friedl et al. (2005) used regression analysis with compositionand calorific data from 122 plant material biomasses to determinethis model for predicting HHV:

HHV ¼ 3:55C2 � 232C� 2230Hþ 51:2CHþ 131Nþ 20;600 ð3Þ

where HHV is in kJ/kg, C is carbon mass percent in dry biomass, H ishydrogen mass percent in dry biomass, and N is nitrogen mass per-cent in dry biomass. Predicted gross calorific values, using Eq. (3),were comparable to the measured gross calorific values. This isshown in Fig. 4, where we plot predicted gross calorific values of

Fig. 3. Van Krevelen plot of atomic H/C ratio as a function of atomic O/C ratio of rawand torrefied samples.

Fig. 4. Predicted GCV (using Eq. (3)) (dry and ash free) as a function of measuredGCV (dry and ash free) for raw and torrefied samples.

Fig. 5. Energy yield (%) (dry and ash free) as a function of mass loss (%) (dry and ashfree) of torrefied samples. Only the results for torrefaction of apple pomace at230 �C and 260 �C were used in the plot.

64 B.-S. Chiou et al. / Bioresource Technology 177 (2015) 58–65

the raw and torrefied samples as a function of measured gross cal-orific values. The sample standard error of estimate for all sampleswas 1.0. The standard error of estimate for the individual byprod-ucts of almond shells, apple pomace, grape pomace, olive pomace,tomato pomace, and walnut shells were 1.0, 1.6, 1.4, 1.2, 0.5, and0.7, respectively. The predicted values were generally smaller thanthe measured values. This might be due to Eq. (3) being developedfrom raw biomass containing lower carbon contents than the torr-efied samples in this study, resulting in differences between pre-dicted and measured values.

3.2.4. Relationship between energy yield and mass lossMass loss of torrefied byproducts could be used to determine

their energy yields. This is shown in Fig. 5, where we plot energyyield as a function of mass loss for the torrefied samples. A linearfit to the data resulted in the equation:

EY ¼ 106:9� 0:91ML ð4Þ

where EY is the energy yield (%) and ML is the mass loss (%) of thetorrefied samples. Eq. (4) had an R2 value of 0.93, indicating good fitto the data. Previous studies had also shown linear correlationsbetween energy yield and mass loss for torrefaction of spruce andfir sawdust (Li et al., 2012) and eucalyptus wood (Almeida et al.,2010). Eq. (4) provided a convenient method of estimating energyyields of torrefied biomass by only measuring mass loss of the sam-ples. We should note that Eq. (4) should only be applied to the rangeof mass losses (6.5–89.9%) used for fitting it.

4. Conclusions

Raw tomato pomace had the highest GCV, whereas raw applepomace had the lowest GCV. Also, apple pomace had the lowestthermal stability with its mass decreasing rapidly at 200 �C.

Response surface models of mass and energy yields dependedon the specific byproduct, with most models containing a temper-ature–time interaction, square of temperature, or square of timeterm. All models had high R2 values, indicating good fit to the data.Grape pomace generally had the highest mass and energy yields.Also, energy yields of torrefied byproducts could be determinedfrom their mass loss values.

Acknowledgement

This study was funded by the California Department ofFood and Agriculture’s Specialty Crop Block Grant Program(#SCB11021).

References

Almeida, G., Brito, J.O., Perre, P., 2010. Alterations in energy properties of eucalyptuswood and bark subjected to torrefaction: the potential of mass loss as asynthetic indicator. Bioresour. Technol. 101, 9778–9784.

Arnsfeld, S., Senk, D., Gudenau, H.-W., 2014. The qualification of torrefied woodenbiomass and agricultural wastes products for gasification processes. J. Anal.Appl. Pyrolysis 107, 133–141.

Aziz, M.A., Sabil, K.M., Uemura, Y., Ismail, L., 2012. A study on torrefaction of oilpalm biomass. J. Appl. Sci. 12, 1130–1135.

Ben, H., Ragauskas, A.J., 2012. Torrefaction of loblolly pine. Green Chem. 14, 72–76.Bridgeman, T.G., Jones, J.M., Shield, I., Williams, P.T., 2008. Torrefaction of reed

canary grass, wheat straw and willow to enhance solid fuel qualities andcombustion properties. Fuel 87, 844–856.

Bridgeman, T.G., Jones, J.M., Williams, A., Waldron, D.J., 2010. An investigation of thegrindability of two torrefied energy crops. Fuel 89, 3911–3918.

Chen, W.-H., Kuo, P.-C., 2010. A study on torrefaction of various biomass materialsand its impact on lignocellulosic structure simulated by a thermogravimetry.Energy 35, 2580–2586.

Chen, W.-H., Kuo, P.-C., 2011a. Torrefaction and co-torrefaction characterization ofhemicellulose, cellulose and lignin as well as torrefaction of some basicconstituents in biomass. Energy 36, 803–811.

Chen, W.-H., Kuo, P.-C., 2011b. Isothermal torrefaction kinetics of hemicellulose,cellulose, lignin and xylan using thermogravimetric analysis. Energy. 36, 6451–6460.

Chen, W.-H., Ye, S.-C., Sheen, H.-K., 2012. Hydrothermal carbonization of sugarcanebagasse via wet torrefaction in association with microwave heating. Bioresour.Technol. 118, 195–203.

Chin, K.L., H’ng, P.S., Go, W.Z., Wong, W.Z., Lim, T.W., Maminski, M., Paridah, M.T.,Luqman, A.C., 2013. Optimization of torrefaction conditions for high energydensity solid biofuel from oil palm biomass and fast growing species availablein Malaysia. Ind. Crop. Prod. 49, 768–774.

Deng, J., Wang, G.-J., Kuang, J.-H., Zhang, Y.-L., Luo, Y.-H., 2009. Pretreatment ofagricultural residues for co-gasification via torrefaction. J. Anal. Appl. Pyrolysis86, 331–337.

B.-S. Chiou et al. / Bioresource Technology 177 (2015) 58–65 65

Dhungana, A., Dutta, A., Basu, P., 2012. Torrefaction of non-lignocellulose biomasswaste. Can. J. Chem. Eng. 90, 186–195.

Friedl, A., Padouvas, H., Rotter, H., Varmuza, K., 2005. Prediction of heating values ofbiomass fuel from elemental composition. Anal. Chim. Acta 544, 191–198.

Goering, H.K., Van Soest, P.J., 1970. Forage fiber analyses. USDA AgricultureHandbook No. 379, pp. 1–20.

Gullon, B., Yanez, R., Alonso, J.L., Parajo, J.C., 2008. L-Lactic acid production fromapple pomace by sequential hydrolysis and fermentation. Bioresour. Technol.99, 308–309.

Hill, S.J., Grigsby, W.J., Hall, P.W., 2013. Chemical and cellulose crystallite changes inPinus radiata during torrefaction. Biomass Bioenergy 56, 92–98.

Ibrahim, R.H.H., Darvell, L.I., Jones, J.M., Williams, A., 2013. Physicochemicalcharacterisation of torrefied biomass. J. Anal. Appl. Pyrolysis 103, 21–30.

Kim, Y.-H., Lee, S.-M., Lee, H.-W., Lee, J.-W., 2012. Physical and chemicalcharacteristics of products from the torrefaction of yellow poplar(Liriodendron tulipifera). Bioresour. Technol. 116, 120–125.

Li, H., Liu, X., Legros, R., Bi, X.T., Lim, C.J., Sokhansanj, S., 2012. Torrefaction ofsawdust in a fluidized bed reactor. Bioresour. Technol. 103, 453–458.

Medic, D., Darr, M., Shah, A., Rahn, S., 2012a. The effects of particle size, differentcorn stover components, and gas residence time on torrefaction of corn stover.Energies 5, 1199–1214.

Medic, D., Darr, M., Shah, A., Potter, B., Zimmerman, J., 2012b. Effects of torrefactionprocess parameters on biomass feedstock upgrading. Fuel 91, 147–154.

Melkior, T., Jacob, S., Gerbaud, G., Hediger, S., Le Pape, L., Bonnefois, L., Bardet, M.,2012. NMR analysis of the transformation of wood constituents by torrefaction.Fuel 92, 271–280.

Na, B.I., Kim, Y.-H., Lim, W.-S., Lee, S.-M., Lee, H.-W., Lee, J.-W., 2013. Torrefaction ofoil palm mesocarp fiber and their effect on pelletizing. Biomass Bioenergy 52,159–165.

Pala, M., Kantarli, I.C., Buyukisik, H.B., Yanik, J., 2014. Hydrothermal carbonizationand torrefaction of grape pomace: a comparative evaluation. Bioresour.Technol. 161, 255–262.

Park, J., Meng, J., Lim, K.H., Rojas, O.J., Park, S., 2013. Transformation oflignocellulosic biomass during torrefaction. J. Anal. Appl. Pyrolysis 100, 199–206.

Phanphanich, M., Mani, S., 2011. Impact of torrefaction on the grindability and fuelcharacteristics of forest biomass. Bioresour. Technol. 102, 1246–1253.

Pimchuai, A., Dutta, A., Basu, P., 2010. Torrefaction of agriculture residue to enhancecombustible properties. Energy Fuels 24, 4638–4645.

Prins, M.J., Ptasinski, K.J., Janssen, F.J.J.G., 2006a. More efficient biomass gasificationvia torrefaction. Energy 31, 3458–3470.

Prins, M.J., Ptasinski, K.J., Janssen, F.J.J.G., 2006b. Torrefaction of wood Part 1. Weightloss kinetics. J. Anal. Appl. Pyrolysis 77, 28–34.

Prins, M.J., Ptasinski, K.J., Janssen, F.J.J.G., 2006c. Torrefaction of wood Part 2.Analysis of products. J. Anal. Appl. Pyrolysis 77, 35–40.

Ren, S., Lei, H., Wang, L., Bu, Q., Wei, Y., Liang, J., Liu, Y., Julson, J., Chen, S., Wu, J.,Ruan, R., 2012. Microwave torrefaction of Douglas Fir sawdust pellets. EnergyFuels 26, 5936–5943.

Sabil, K.M., Aziz, M.A., Lal, B., Uemura, Y., 2013. Synthetic indicator on the severity oftorrefaction of oil palm biomass residues through mass loss measurement.Appl. Energy 111, 821–826.

Sadaka, S., Negi, S., 2009. Improvements of biomass physical and thermochemicalcharacteristics via torrefaction process. Environ. Prog. Sustainable Energy 28,427–434.

Shang, L., Ahrenfeldt, J., Holm, J.K., Sanandi, A.R., Barsberg, S., Thomsen, T., Stelte, W.,Henriksen, U.B., 2012. Changes of chemical and mechanical behavior oftorrefied wheat straw. Biomass Bioenergy 40, 63–70.

Shoulaifar, T.K., DeMartini, N., Willfor, S., Pranovich, A., Smeds, A.I., Virtanen, T.A.P.,Maunu, S.-L., Verhoeff, F., Kiel, J.H.A., Hupa, M., 2014. Impact of torrefaction onthe chemical structure of birch wood. Energy Fuels 28, 3863–3872.

Uemura, Y., Omar, W., Tsutsui, T., Subbarao, D., Yusup, S., 2010. Relationshipbetween calorific value and elementary composition of torrefied lignocellulosicbiomass. J. Appl. Sci. 10, 3250–3256.

Wen, J.-L., Sun, S.-L., Yuan, T.-Q., Xu, F., Sun, R.-C., 2014. Understanding the chemicaland structural transformations of lignin macromolecule during torrefaction.Appl. Energy 121, 1–9.


Recommended