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Original article
10 (
2_suppl
); S2806-S2828
doi:
10.1016/j.arabjc.2013.11.004

A comprehensive small and pilot-scale fixed-bed reactor approach for testing Fischer–Tropsch catalyst activity and performance on a BTL route

Department of Chemical Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Thailand
Department of Industrial Chemistry, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Thailand
Research and Development Center for Chemical Engineering Unit Operation and Catalyst Design (RCC), 1st and 7th floor (Room 702), STRI Building, King Mongkut’s University of Technology North Bangkok, Thailand
National Metal and Materials Technology Center (MTEC), 114 Thailand Science Park (TSP), Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120, Thailand

⁎Corresponding authors. Addresses: 1518 Pracharat 1 Road,Wongsawang, Bangsue, Bangkok 10800, Thailand. Tel.: +66 2555 2000x8245; fax: +66 2587 0024 (P. Narataruksa), Tel.: +66 2564 6500x4700; fax: +66 2564 6403 (N. Chollacoop). phn@kmutnb.ac.th (Phavanee Narataruksa), nuwongc@mtec.or.th (Nuwong Chollacoop)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

Ruthenium (Ru)-based catalysts were prepared by the sol–gel technique for biomass-to-liquid (BTL) operation and had their performance tested under different conditions. The catalytic study was carried out in two steps using a simple and reliable method. In the first step, the effects of reaction temperatures and inlet H2/CO molar feed ratios obtained from biomass gasification were investigated on the catalyst performance. A set of experimental results obtained in a laboratory fixed bed reactor was described and summarized. Moreover, a simplified Langmuir–Hinshelwood–Hougen–Watson (LHHW) kinetic model was proposed with two promising models, where the surface decomposition of carbon monoxide was assumed as the rate determining step (RDS). In the second step, a FT pilot plant was conducted to validate the catalyst performance, especially the conversion efficiency, heat and mass transfer effects, and system controllability. The results indicated that our catalyst performances under mild conditions were not significantly different in many regards from those previously reported for a severe condition, as especially Ru-based catalyst can be performed to vary over a wide range of conditions to yield specific liquid productivity. The results in terms of the hydrocarbon product distribution obtained from the pilot scale operations were similar with that obtained from the related lab scale experiments.

Keywords

Biomass-to-Liquid (BTL)
Fischer–Tropsch synthesis (FTs)
A ruthenium supported alumina catalyst and a FT pilot scale

Abbreviations

ASF

Anderson–Schulz–Flory

BET

Brunauer–Emmett–Teller

BIG-FTs

biomass integrated gasification via Fischer–Tropsch synthesis

BTL

Biomass-to-Liquid

CTL

coal-to-liquid

FID

flame ionization detector

FT

Fischer–Tropsch

GC

gas chromatography

GHSV

gas hour space velocity

GTL

gas-to-liquid

ID

internal diameter

IGCC

integrated gasification combined cycle

LHHW

Langmuir–Hinshelwood–Hougen–Watson

NSTDA

National Science and Technology Development Agency

PSA

pressure swing adsorption

RDS

rate determining step

RSM

response surface methodology

R&D

research and development

Slpm

standard liters per minute

SS316

stainless steel grade 316

TCD

thermal conductivity detector

TFBR

tubular fixed bed reactor

TPR

temperature programed reduction

TPSR

temperature programed surface reaction

WGS

water–gas shift.

Nomenclature

bCO

adsorption constant in rate equations

B0

constant (intercept) term

Bi

constant (linear) term

Bii

constant (squared) term

Bij

constant (interaction) term

D

diameters of tube (mm)

Dp

diameters of particle (mm)

Ea

activation energy of reaction (kJ/mol)

F CO o

carbon monoxide molar flow rate (mol/min)

ΔHCO

enthalpy of adsorption (kJ/mol)

kCO

rate constant in Eqs. (11) and (12)

L

reactor length (mm)

P

reaction pressure (atm)

Ptotal

total pressure in the reactor (atm)

PCO

carbon monoxide pressure (atm)

P H 2

hydrogen pressure (atm)

rCO

rate of CO appearance (mol/min·gcat)

R2

correlation coefficient

T

reaction temperature (°C) or (273.15 + °C = K)

1/T

temperature (1/K) as a function of rate constant

V

reactor volume (cm3)

Wcat

catalyst mass (g)

Wn

weight fraction of the products

XCO

CO conversion (%)

Xi

independent variable

Y

predicted response

Greek letters

α

chain growth probability

γ

supporter of Al2O3

ρcat

density of catalyst

1

1 Introduction

In recent years, the biomass-to-liquid (BTL) process has been an attractive option for the sustainable provision of energy. Three reasons are that the synthetic liquid itself is an excellent quality product with a high cetane number and the release of noxious chemicals, such as sulfur and aromatic compounds, is lower than at a conventional refinery. Moreover, these clean synthetic fuels can replace fossil fuels for a wide range of applications, including the transportation sector (Morita, 2001; Suzuki, 2001; Takeshit and Yamaji, 2008). Although there are benefits as mentioned above, there are still many economic challenges to overcome for the large-scale production of BTL in Thailand. In principle, the main process configurations of BTL consist of gasification, gas cleaning and conditioning, and Fischer–Tropsch (FT) synthesis. However, a bottleneck also exists for the BTL process: the overall productivity of FT liquids is lower than that of other alternative carbonaceous feedstocks, such as coal-to-liquid (CTL) and gas-to-liquid (GTL) processes. Despite the attractiveness of the BTL process, attempts to increase the overall productivity have been made throughout the past 15 years in R&D of the synthetic framework (www.ecn.nl (Netherlands); www.choren.com (Germany); www.nesteoil.com (Finland)). Both conversion and selectivity considerations are, therefore, extremely important in the design of the FT section of a syngas conversion plant.

Improvements have been continuously performed for FT synthesis and can be placed in two categories: The first category is the catalyst performance; the catalytic conversion of bio-syngas over a catalyst is considered a crucial part. Many catalyst types have been used to obtain liquid fuel productivity, such as cobalt (Co), iron (Fe), nickel (Ni) and ruthenium (Ru), where a few criteria must be met to achieve the optimal catalyst performance: the activity, selectivity and other characteristics (Khodakov et al., 2007). The other category is the reactor configuration; it is well known that FT synthesis is a strongly exothermic reaction. Therefore, a modification of the reactor design to promote reaction conversion is an important part of the reaction system design. Some of the reactor types, i.e., fixed bed, slurry bed and fluidized bed, have been studied during the initial screening, and some showed good performances. However, not only are the high CO conversion and high selectivity to liquid fuels (C5+ hydrocarbons) required, but the investment costs, ease of scale-up, operation and maintenance are also carefully considered (Hamelinck et al., 2004). To achieve engineering feasibility, the relationship between catalyst performance and reactor configurations was merged and interpreted by Dry (2002). An optimal FT reactor design should be capable of rapidly removing the heat of the reaction from the catalyst particles to avoid overheating of the catalyst, which would result in increasing the rate of deactivation due to sintering, fouling, coking and an increase in undesirable by-products (methane). As mentioned above, the reactors can be designed for BTL process innovation, which depends largely on the syngas production and FT synthesis sections. For the syngas production, the mixture is primarily composed of H2/CO, and this syngas ratio is an important variable for downstream processes; they strongly depend on the gasification technologies and the biomass feedstock types. For the FT synthesis sections, the reaction condition and catalyst performance are also set as key variables in maintaining acceptable CO conversion.

Unfortunately, the biomass-derived syngas from this process is not optimal for FT synthesis because of the low H2/CO ratio (0.45–1.03) (James et al., 2010). This ratio is different from syngas produced using the GTL process, where the H2/CO ratio can be altered toward the optimal level via a natural gas reforming process to suit the downstream FT synthesis requirements (Berglin and Berntsson, 1998; Dry, 2002; Dry and Steynberg, 2004). The deficient ratio of hydrogen (H2) to carbon monoxide (CO) can lead to low conversion using the FT synthesis route and to an increase in undesirable hydrocarbons. On the contrary, a sufficient hydrogen concentration on the catalyst surface until the termination step is necessary for chain initiation. In recent years, three technologies have claimed to increase the concentration of H2. First, an improvement in the gasification process was found through the use of optimal gasifying agents (air or oxygen-blown and steam) to achieve the best syngas compositions with H2/CO ratios between 0.45 and 2.0 (Tijmensen et al., 2002; Tristantini et al., 2007). Second, the water–gas shift (WGS) reaction was proposed to adjust the H2/CO ratio to complete the conversion before entering the FT catalytic reactors. Third, a pressure swing adsorption (PSA) was used to adjust the stoichiometric ratio of syngas by increasing the hydrogen content (Batdorf, 2010). Meanwhile, a variation in the H2/CO ratio was typically found due to the types and compositions of biomass feedstock, the complicated WGS reaction and the design of the reactor system (Tristantini et al., 2007; Kumabe et al., 2007; Hanaoka et al., 2010; Ribeiro et al., 2010).

The adjustment of the syngas composition through process techniques, such as reactor design, is preferred for engineering and research aspects (Davis, 2005; Balat, 2008; Guettel et al., 2008). However, the reactor configurations generally work efficiently for a limited range of input compositions, and a variation in the syngas composition occurred due to the variations in the biomass feedstock conversion; poor hydrocarbon selectivity and undesirable products were obtained in the FT process. To avoid the complicated steps and to eliminate the uncertainty associated with the syngas composition, a technical catalyst enhancement is an alternative choice to increase the performance of the chemical engineering route, which can be coupled with analytical techniques.

Furthermore, the efficiency of FT synthesis depends not only on the selected catalyst but also on the thermodynamic conditions. The optimal thermodynamic conditions can be determined to achieve a higher conversion efficiency and better product selectivity. Some research efforts targeted this goal. Dry and Steynberg (2004) proposed that the viability of the FT process depends on three key factors: the temperature, feed gas composition, and chemical and structural catalysts. A similar study was mentioned by Hamelinck et al. (2004) in which selectivity and conversion in FT synthesis were a function of temperature, feed stream composition, reaction pressure, catalyst and reactor type and size.

In addition to the variation in catalyst types, such as iron (Fe), cobalt (Co), nickel (Ni) and ruthenium (Ru), to achieve the optimum product selectivity, only the first three catalysts appear to be economically feasible for large scale applications (De Klerk, 2011). However, some specialists have found a limitation of their catalysts. Font Freide et al. (2003) showed that iron catalysts produced excessive carbon dioxide via the water–gas shift reaction, and they were generally considered unsuitable for once-through operation. Additionally, they also tend to produce predominantly linear alpha olefins as well as a mixture of oxygenates, such as alcohols. Perego (2007) briefly described Co catalysts that need a stoichiometric ratio of hydrogen to carbon monoxide of at least two to work well. Of the other metals for carbon monoxide (CO) hydrogenation, nickel is too hydrogenating and, consequently, produces excessive amounts of methane. For the last one, some literature has proposed efficient reaction conditions for the performance of Ru-based catalysts. One special property of Ru catalysts is that they result in much higher hydrogenation of carbon monoxide than other catalysts, which is related to its high natural activity (Vannice, 1975; Van der Laan and Beennackers, 1999).

Although Ru catalysts are expensive, they show high activity under mild operating conditions to obtain the desired hydrocarbon products (Van der Laan and Beennackers, 1999; Narataruksa et al., 2012) and have the stability to offer a good balance between price and performance. This balance may be advantageous in the case of syngas, where H2/CO ratios are much lower than the recommended ratio of the conventional FT (require at least two times more hydrogen than carbon monoxide). In particular, they are good for the formation of higher molecular weight products with the desired olefin and paraffin selectivity (Schulz, 1999).

Previous studies have investigated the effects of reaction conditions on the performance of commercial iron and cobalt catalysts (King, 1978; Ji et al., 2001; Tristantini et al., 2007; Liu et al., 2007; Mirzaei et al., 2009a). Specifically, it was found that the catalysts operated efficiently under harsh reaction conditions (high temperature and pressure). These conditions may lead to hot spots on the catalysts and, therefore, temperature runaway. Additionally, during these severe operating conditions, the long chain hydrocarbon products (C25+) lead to the deposition of wax on the catalyst particles and a significant pressure drop across the bed, which causes a serious problem in the flow field in FT reactors (Dry and Steynberg, 2004). Although the modification of catalysts has been widely studied for the effects of process conditions on FT synthesis, the details regarding the effect of H2/CO ratios and reaction temperatures on FT synthesis over Ru-based catalysts for operating under mild reaction conditions (low temperature and pressure) are not available until now. This point may be used as the benchmark to provide opportunities for studying and learning about these catalytic performances.

2

2 An overview of the biomass integrated gasification via Fischer–Tropsch synthesis (BIG-FTs) process and objectives

2.1

2.1 FT process implementation

This work has been carried out to synthesize liquid fuels from syngas (mainly CO and H2) with fluctuating compositions and operating conditions caused by various biomass feedstocks and currently available technologies. At the beginning of the BIG-FTs project, the existing fluidized bed gasifier used air as a gasifying agent. Our research group produced syngas from biomass (as shown in Fig. 1). Once the main contaminants (e.g., small particles, tar and acid gases) were eliminated, the cleaned syngas was subsequently isothermally compressed into a gas holder tank to a pressure of 20 bar. For the syngas utilized in the next section, the ratio between CO and H2 may need to be adjusted so that the feed to the FT reactor was appropriate for the optimal production of liquid fuels. The syngas has an approximate H2/CO ratio of 1/1, 2/1 and 3/1 for the natural composition, the existing water–gas shift (WGS) reaction technology (CO + H2O → CO2 + H2) (Twigg, 1996; Swanson et al., 2010; Martín and Grossmann, 2011) and co-production of H2 with current integrated gasification combined cycle (IGCC) technology (www.netl.doe.gov (United State of America)), respectively. However, too many complicated processing steps lead to a higher cost of the product and decrease the overall efficiency of the process. To avoid the possibility of all changing whatever happens on future technological options, this cause may be due to the syngas fluctuation in feed quality and it would be difficult to assess the effect of syngas composition. Of course, developing high-activity and high-stability catalysts were essential for better overall performance when varieties of synthesis gas compositions and conditions occurred more frequently (Dry and Steynberg, 2004; Bartholomew and Farrauto, 2005). Therefore, it was significant to explore simple processes over an active catalyst for the creation of premium liquid fuels through FT synthesis.

The syngas produced in biomass gasification facilities.
Figure 1 The syngas produced in biomass gasification facilities.

2.2

2.2 Ru-based catalyst development for FT synthesis

For more than three decades, many research groups have studied the effects of FT synthesis over ruthenium catalysts to increase their productivity. In this work, we apply some concepts and review the studies of Ru-based catalysts (with varying Ru loading), which are categorized according to the preparation of the catalyst and the type of FT reactor. Table 1 summarizes an update of the previously published reviews for the application of ruthenium catalysts with an emphasis on the hydrocarbon distribution. Moreover, the experiments under several reaction conditions were presented together to show the Ru catalyst characteristics under changing reaction conditions. Of course, each of these results fits certain reaction conditions but cannot be applied to a wide range of reaction conditions. This restriction may be a weak point for BTL, which has a variety of syngas compositions, especially the varying H2/CO molar feed ratios and the fluctuating temperatures obtained from different material feedstocks. Therefore, a few parameters studied in this work were the verifiability of the different reaction conditions for FT synthesis on a Ru-based catalyst; the catalyst design was created by our research group. The details of individual experiments were described below.

Table 1 A summary of the reaction condition studies on the FT synthesis over Ru catalysts (1978–2011).
Research group Catalysts formula Catalysts preparation Reactor type Operating conditions Experimental Results
T (°C) P (atm) H2/CO GHSV CO (%) Selec.(%) Light hydro. Selec.(%) Heavy hydro. α
King (1978) −0.5 to 2.5% Ru/Al2O3 Impregnation Fixed bed 175–300 4 2/1 1200 2.8–26.0 N/A N/A N/A
−1.5 to 2.5%/SiO2 6.3–12.9
King et al. (1985) −0.3% Ru/Al2O3 N/A Fixed bed 210 60 2/1 500 24.6 CH4 Liquid (9.6) 0.969
(1.4) Wax (88.3)
Ragaini et al. (1996) −1.0% Ru/γ-Al2O3 Incipient-Wetness Impregnation (IWI) Fixed bed 235 0.05 2/1 N/A 14.0 CH4 (63.4) C5–C13 (12.3) 0.78
Niemelä et al. (1998) −1.7% Ru–2.0% Co/SiO2 Precipitation Fixed bed 250 21 2/1 2000 h−1 9.6 C1–C8 C8+ N/A
−1.1% Ru/SiO2 18.7 74.3 5.5
76.9 22.4
Panpranot et al. (2002) −14% Co–0.5% Ru/M1 Incipient-Wetness Impregnation (IWI) Fixed bed 220 1 2/1 20,000 h−1 7.7 C1–C4 C5+ (C5–C15)
−14% Co–0.5% Ru /M2 7.2 65.6 34.4 0.61
−14% Co–0.5% Ru /S 5.8 67.2 32.9 0.57
63.3 36.7 0.60
Li et al. (2002) −0.2% Ru–10% Co/TiO2 Incipient-Wetness Impregnation (IWI) Slurry 230 24 2/1 2 L/(g hr) 77.9 CH4 C5+ N/A
(5.0) (91.1)
Ngwenya et al. (2005) −0.25% Ru–10% Co/TiO2 Incipient-Wetness Impregnation (IWI) Slurry 220, 250 8 1/1,2/1 and 4/1 N/A N/A N/A N/A N/A
Song et al. (2008) −(0.2–2.0%) Ru–20% Co/Al2O3 Impregnation Fixed bed 220 20 2/1 2 L/(g hr) 33.5–39.6 C1–C4 C5+ (C9–C35)
−(0.2–2.0%) Ru–20% Co/SiO2 23.5–16.7 6.7–6.6 93.3–93.4 0.882–0.884
9.6–7.8 90.4–92.2 0.889–0.895
Tavasoli et al. (2008) −0.01 Ru-Co/γ-Al2O3 Impregnation Fixed bed 220 20 2/1 1800 mL/(g hr) 12.2 C1–C4 C5+(86.7) 0.91
(12.2)
Hong et al. (2009) −0.3% Ru–10% CoSi1 Incipient-Wetness Impregnation (IWI) Fixed bed 190 1 2/1 1800 mL/(g hr) 4.7 CH4 C5+ 0.74
−0.3% Ru–10% CoSi1 8.9 11.9 60.0 0.79
−0.3% Ru–10% CoSi1 7.8 10.1 73.2 0.81
9.3 76.3
Escalona et al. (2009) −0.1% Ru–15% Co/SiO2 Impregnation Fixed bed 300 10 1/1 1800 mL/(g hr) 32.3 CH4 C5+ N/A
−0.5% Ru–20% Co/SiO2 29.6 84.8 8.6
85.9 7.6
Trepanier et al. (2009) −0.25% Ru–15% Co/CNT Incipient-Wetness Impregnation (IWI) Fixed bed 220 20 2/1 3600 mL/(g hr) 40 CH4 C5+ 0.792
−0.5% Ru–15% Co/CNT 50 19 74.5 0.807
−1% Ru–15% Co/CNT 60 17.4 76 0.815
17 77
Park et al. (2009) −1% Ru–20% Co/ZrO2–Al2O3 Slurry Precipitation Method (SPL) Fixed bed 220 20 2/1 2000 mL/(g hr) 27.3 CH4 C5+ N/A
−5% Ru–20% Co/ZrO2–Al2O3 39.7 19 76.2
−10% Ru–20% Co/ZrO2–Al2O3 27.2 17.4 74
17 72.4
Park et al. (2011) −0.025% Ru–5% Co/Al2O3 Impregnation Fixed bed 220 10 2/1 3600 mL/(g hr) 14.6 CH4 C5+ N/A
−0.05% Ru–5% Co/Al2O3 22.1 10.9 78.6
−0.1% Ru–5% Co/Al2O3 17.2 10.3 79.1
10.1 81.5
Park et al. (2011) −0.025% Ru–5% Co/Al2O3 Impregnation Fixed bed 240 10 2/1 3600 mL/(g hr) 36.9 CH4 C5+ N/A
−0.05% Ru–5% Co/Al2O3 57 15.8 70.8
−0.1% Ru–5% Co/Al2O3 41 14.7 72.4
13.2 76.2
Our Catalyst −10% Ru/γ-Al2O3 Sol-gel Fixed bed 160–220 1 1/1,2/1 and 3/1 1036 h−1 Up to 43% C1–C4
(1.04–14.55)
C5+
(99.96–85.45)
0.85–0.92

2.3

2.3 Objectives

In this study, a continuous process including catalyst preparation and FT synthesis was developed to demonstrate BTL fuel technology. An active Ru-based catalyst was designed and tested in two FT reactor sizes (as shown in Fig. 2) for the catalytic system of syngas derived from biomass to form synthetic liquid hydrocarbon fuels. The resulting values of the catalyst selectivity and synthetic fuel productivity under mild conditions were key challenges that have not previously been reported. Specifically, our development approach was to understand the catalysis of the FT reaction by systematically studying the effects of the parameters on the catalyst activities and product distributions in a lab-scale reactor. The correlations between the parameters and process variables were formulated using the statistical method. Additionally, two kinetic expressions based on the Langmuir–Hinshelwood–Houngen–Watson (LHHW) mechanism were proposed to fit the experimental data accurately for the FT synthesis reaction. The kinetic parameters were estimated using a non-linear regression method. Activation energies were obtained for these kinetics models.

For heterogeneous gas–solid catalytic conversion, a multi-active catalyst was designed and tested in two FT reactor sizes to verify the Ru-based catalyst performance.
Figure 2 For heterogeneous gas–solid catalytic conversion, a multi-active catalyst was designed and tested in two FT reactor sizes to verify the Ru-based catalyst performance.

Finally, through a systematic study, the optimal operating conditions resulting from parameter analysis were validated in the pilot system where the effects of various process parameters were reasonably explained. The results in terms of the hydrocarbon product distribution obtained from the pilot-scale operations would also be compared with the results obtained from the related lab-scale experiments.

3

3 Experimental sections

3.1

3.1 Catalyst preparation

The 10% Ru/γ-Al2O3 catalyst was prepared using the sol–gel technique with ruthenium trichloride hydrate (RuCl3.xH2O) (Acros organics Company) and aluminum isopropoxide (Al(OC3H7)3) (Acros organics Company) as precursors. A nitric acid solution (Carlo Erba Reagents Company) was added and mixed in the precursor solution. The mixed solution was then refluxed and stirred at a temperature of 90–95 °C for 12 h. The catalyst was dried and calcined in air at 400 °C by controlling the heating rate (10 °C min−1). Afterward, the dried gel was crushed and sieved to a 355–600 μm size.

3.2

3.2 Catalyst characterization

The synthesized Ru-based catalyst was characterized using three techniques i.e., BET, TPR and TPSR.

3.2.1

3.2.1 Brunauer–Emmett–Teller (BET) surface area measurement results

The total surface area, the pore volume and the average pore diameter of the support; fresh catalysts were measured using a BELSORP-mini instrument. The samples were degassed at 350 °C for 4 h using N2 physisorption. The results of BET and porosity tests over the ruthenium particle catalyst are summarized in Table 2. The specific surface area of alumina was found to be 252 m2 g−1 while the pore volume was 3.18 cm3 g−1, and the pore diameter was 0.201 nm.

Table 2 BET and porosity data of 10% Ru/ γ-Al2O3 catalyst prepared by the sol–gel technique.
Catalyst BET surface area (m2 g−1) Pore volume (cm3 g−1) Pore diameter (nm)
10% Ru/ γ-Al2O3 252 3.18 0.201

3.2.2

3.2.2 H2-Temperature Programed Reduction (TPR) results

The catalyst samples were initially purged in a flow of argon at 200 °C for 30 min to remove traces of water and then cooled to 40 °C. The TPR experiments were carried out in a stainless steel reactor loaded with 20 mg of each sample catalyst. Once the thermal conductivity detector (TCD) signal was stable, the gas stream was switched to 5% hydrogen in an argon gas mixture with a flow rate of 30 mL min−1 via a rota-meter. The sample temperature was increased from 40 to 800 °C at a heating rate of 10 °C min−1. Fig. 3 presents the hydrogen profiles resulting from TPR experiments which were performed with intensities in arbitrary units (a.u.). Our 10% Ru/γ-Al2O3 catalyst showed one hydrogen reduction with a maximum peak at nearly 200 °C. This evidence might be assigned to the single reduction step from RuO2 to Ru0. Hence, it can be concluded that the presence of low temperature peaks in the TPR profiles of monometallic catalysts did not complicate the reducibility of our catalysts. In addition, similar reduction behavior over γ-Al2O3 catalyst-supported catalysts can be observed from Nurunnabi et al. (2007; 2008).

TPR profile of the 10% Ru/γ-Al2O3 catalyst.
Figure 3 TPR profile of the 10% Ru/γ-Al2O3 catalyst.

3.2.3

3.2.3 Temperature Programed Surface Reaction (TPSR) results

The TPSR experiment is essentially a temperature programed desorption experiment carried out under reactive conditions using a gas chromatograph (GC) fitted with flame ionization detector (FID) to detect the species evolving as a function of temperature. In the TPSR experiment, samples (20 mg) were reduced in flowing H2 at 400 °C for 2 h to reduce the surface oxide and remove impurities. Subsequently, the catalyst samples were cooled in flowing argon at room temperature. CO injection was continuous at room temperature for 0.5 h, and then the argon stream was replaced to ensure that physisorption on the surface catalyst was eliminated. Then, the catalyst was swept with pure H2 for 30 min, the temperature was increased linearly in flowing H2, and the samples were heated to 850 °C at a rate of 10 °C min−1. The signal of the methanation reaction of CH4 and CO was recorded using FID as a function of temperature. The profiles resulting from the TPSR experiments for 10% Ru/γ-Al2O3 catalysts were investigated; the hydrogenation of the adsorbed CO leads to the formation of single CH4 peak and can be observed in Fig. 4. Because the hydrogenation of the carbon atom takes place very quickly on an active catalyst surface, the assumption of the production of CH4 means that the dissociation of CO can be detected by inspecting the formation of CH4. The maximal CH4 peak temperature was observed at approximately 180 °C for the 10% Ru/γ-Al2O3 catalyst, which can be verified by the FT synthesis starting at 180 °C. However, the result obtained from the TPSR experiment under flowing H2/CO with a ratio equal to 1 may not be sufficient to claim the perfection of catalyst modification because of the transient experiment. However, it was a good sign for reacting under mild conditions; this observation may be a reason why the Ru-based catalyst prepared using a sol–gel technique showed better catalytic performance (Mirzaei et al., 2009b), which is tested within our catalyst using steady state experiments and the various effects of BTL conditions.

TPSR profile obtained from hydrogenation of pre-adsorbed CO of the 10% Ru/γ-Al2O3 catalyst.
Figure 4 TPSR profile obtained from hydrogenation of pre-adsorbed CO of the 10% Ru/γ-Al2O3 catalyst.

3.3

3.3 Reactor systems

3.3.1

3.3.1 Small scale fixed bed reactor system

An experimental system used in the first approach was of laboratory scale. The simple criteria for system design were the ease of construction, low cost, ease of sampling and product composition analysis, and the effectiveness of the contact between the catalyst and the gaseous reactants. A Tubular Fixed-Bed Reactor (TFBR) with a length of 300 mm and an internal diameter (ID) of approximately 8 mm that was made from stainless steel (SS316) was designed for this work. A Ru-based catalyst loading of ∼10–15 g was used to maintain the residence time through the bed, which depends on the reactant flowrate used in each experimental run. A diagram of the FT synthesis system is shown in Fig. 5, and photographs of the bench-scale FT synthesis apparatus can be referenced from Narataruksa et al. (2012). The FT reaction experiments were conducted in a TFBR, which had been packed with 10% Ru/γ-Al2O3 catalyst particles. The meshed catalyst was held in the middle of the reactor using quartz wool. The TFBR was heated using an electric tube furnace (Model RS485) of 220 V, 1500 W, and equipped with constant thermocouple (K-Type) indicators located inside and outside the catalytic bed. The reactive gases were supplied from three cylinders consisting of hydrogen (H2), carbon monoxide (CO) and nitrogen (N2), and the mass flow rates of each component were controlled by three separate mass electronic mass flow controllers (Aalborg model GFC-17), enabling the desired H2/CO ratio to be obtained. System pressure was regulated by a spring-loaded back pressure regulator located at the bottom of TFBR. Two pressure transducers were also installed at the top and bottom of TFBR to monitor the pressure difference across the bed.

A schematic diagram of the small FT synthesis’s experimental apparatus.
Figure 5 A schematic diagram of the small FT synthesis’s experimental apparatus.

After the product gas had been discharged from the TFBR, it was passed through a condensing section to separate the heavy components before entering the gas detector. The liquid hydrocarbon products were collected and the temperature was maintained at approximately −5 °C by silicon oil, and then the non-condensable hydrocarbons were analyzed to determine the compositions using GC. The gas flow rate of the effluent stream was measured using a bubble gas meter.

3.3.2

3.3.2 Pilot scale fixed bed reactor system

In 2010, our research group was supported by NSTDA to construct a pilot plant for FT synthesis. The aim of the second approach was to design and commission a catalytic rig, which can be used to test the reaction and system performance of the pilot-scale fixed-bed reactor. The design of the pilot-scale fixed-bed reactor and supporting systems followed the development of the reactor design, efficient catalyst regeneration methods and the integrated reactive system to achieve the optimum efficiency, i.e., a simple structure, the ability to be fabricated within the country, controllability, easy maintenance and operation, detachability and endurance (Hill, 1977; Froment and Bischoff, 1990; Hewitt et al., 1994; Robinson, 1996; Donati and Paludetto, 1997; Levenspiel, 1999; Fogler, 2000; Davis and Davis, 2003; Bartholomew and Farrauto, 2005). In detail, the design of the pilot system was different from the small-scale system in such a way that the expanded pre-heater section, product separation/product collection section and more precise devices for manipulating process variables were integrated. The pilot system was designed to overcome operability problems and to be operated continuously with the use of system monitoring and safety devices. The diameters of the tubes (D) and particles (Dp) used for the pilot reactor module were in agreement with the value of D/Dp applied in the small-scale reactor units. The geometry of the multi-tube reactor was similar to shell-and-tube heat exchangers. The reactor configuration was a 10-cm external diameter reactor fitted with a three-zone thermo-well inside the catalytic bed. The internal reactor contained 24 tubes that were 90 cm in height, 10 mm in internal diameter and 1 mm in thickness. The reactor tubes are filled with ∼2 kg of the Ru-based catalyst. A three-zone electric heating system was used to provide the thermal energy. Several temperature sensors (K-Type) were mounted along the reactor to measure the axial temperature profiles to ensure isothermal conditions. In addition to the temperature control equipment, a pressure control device was installed after the reactor. All pressures and pressure differences across the bed were monitored and controlled. These installations enabled the successful operation of the reactive system. A schematic of the pilot reactor is shown in Figs. 6 and 7. To monitor and control the pilot system, the commercial software LabVIEW™ was adapted to communicate between an operator with a personal computer and all of monitoring and control equipment. Interface control screens were utilized to adjust and/or monitor the process parameters, such as the temperatures, gas flow rates, pressures, and on/off status of certain valves. Important operating parameters were recorded and displayed on data logging screens. The data history can also be viewed via data logging functions.

3D schematic view of the FT pilot plant mounted on the movable carriage; (1)-Control panel, (2)-Pre-heater, (3)-FT reactor, (4)-Pre-condenser, (5)-Chiller unit, (6)-Condenser, (7)-Separator, (8)-Cooling Tower and (9)-Gas cylinders.
Figure 6 3D schematic view of the FT pilot plant mounted on the movable carriage; (1)-Control panel, (2)-Pre-heater, (3)-FT reactor, (4)-Pre-condenser, (5)-Chiller unit, (6)-Condenser, (7)-Separator, (8)-Cooling Tower and (9)-Gas cylinders.
Photographs of a FT synthesis pilot scale. (a) Reactor system and apparatus. (b) Control screens interface of pilot reacting system.
Figure 7 Photographs of a FT synthesis pilot scale. (a) Reactor system and apparatus. (b) Control screens interface of pilot reacting system.

Initially, the FT pilot system was purged by a nitrogen flow for 30 min to ensure oxygen removal and an inert atmosphere in the reactor, followed by the pre-reducing stage with hydrogen at 400 °C for 12 h. The syngas was fed into the pilot system until the desired pressure was reached; afterward, the reaction condition was subsequently adapted to achieve the desired temperature and pressure. Syngas passed through the multi-tubular reactor (R-101) and was converted into hydrocarbon products. The vapor phase composed of mixed products (∼C1–C24) was cooled and condensed using a condenser (C-101) that was maintained at −5 °C. Water as a by-product was roughly separated from the oil phase (C5+) in a flash drum (S-101), while the non-condensable gas (C1–C4) was vacuumed to analyze online using a GC analyzer and a mini-compressor.

3.4

3.4 Experimental designs

3.4.1

3.4.1 Small FT fixed bed scale

In addition to the two major gaseous products (mainly H2 and CO) obtained through the gasification of biomass, other mixture gases, including CO2 and CH4, were produced simultaneously after the wet and dry cleaning process. However, to avoid possible disturbances during the ongoing performance of each activity, the H2/CO ratios and the reaction temperatures delivered from the biomass gasification were the two key factors that were varied during the FT synthesis to study the carbon monoxide conversion and selectivity of the hydrocarbon products. Additionally, these two parameters were chosen to represent the effects of the reaction conditions on the performance of a Ru-based catalyst.

The total number of experimental runs was 24. The experimental sets for run number 1 through run number 24 were arranged to determine the percent of CO and hydrocarbon conversion, while the reaction pressure and space velocity were kept constant. In the experimental method, a stabilization period with a CO conversion % as a function of reaction time was maintained to ensure that stable catalytic reactions were established. For each operating condition, at least 36 h was necessary to ensure that the steady state behavior of the catalyst did not change after a change in the reaction conditions. Descriptive samples were cumulatively collected during a typical period of 20–36 h. The experimental data obtained in this investigation are listed in Tables 3 and 4.

Table 3 Experimental runs of 10% Ru/γ-Al2O3 catalyst at the effect of reaction conditions under atmospheric pressure and space velocity = 1036 h−1.
Runs 1 2 3 4 5 6 7 8 9 10 11 12
Temperature (°C) 160 180 200 220
H2/CO molar ratio 1/1 2/1 3/1 1/1 2/1 3/1 1/1 2/1 3/1 1/1 2/1 3/1
Pressure (atm) 1 1 1 1 1 1 1 1 1 1 1 1
GSHV (mL g−1 hr−1) 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
Table 4 Experimental runs of 10% Ru/γ-Al2O3 catalyst at the effect of inlet H2/CO ratios under atmospheric pressure and space velocity = 1036 h−1.
Runs 13 14 15 16 17 18 19 20 21 22 23 24
H2/CO molar ratio 1/1 2/1 3/1
Temperature (°C) 160 180 200 220 160 180 200 220 160 180 200 220
Pressure (atm) 1 1 1 1 1 1 1 1 1 1 1 1
GSHV (mL g−1 hr−1) 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000

3.4.2

3.4.2 Pilot FT fixed bed scale

Three experimental runs were conducted in the FT pilot scale system to further clarify the results. These tests also helped research the effects of various process parameters on an appropriate pilot scale. Three different continuous feeds of syngas were passed onto a ruthenium supported alumina bed. The influence of different operating parameters, such as the total pressure up to approximately 4 atm and GHSV (200–1000 h−1), on the behavior of the FT process was studied. The CO conversion and hydrocarbon distribution were measured by maintaining a temperature of 180 °C. Mass balance and carbon balance were calculated based on the inlet/outlet flows, gas composition analysis and liquid product weight and composition.

4

4 Data analysis

The liquid products were collected and then removed at the end of each experimental run. Samples of the liquid hydrocarbons were injected into the gas chromatograph for composition analysis. The gaseous products were sampled and automatically analyzed by the gas detector every 45 min. These raw composition data, including the total amounts of liquid and gas products, were used to further calculate the CO conversion and selectivity of hydrocarbon using carbon balance basis.

The FT products consist of gases, aqueous dispersions, oils and waxes. The collection of hydrocarbon products was analyzed using different types of GC depending on the phase. In this work, the product stream was split into two parts: gas and liquid phases. The liquid products were collected in the ice bath trap during the small-scale tests and in a condenser column during the pilot-scale tests. Then, they were physically separated into water and oil phases. The chromatographs were used to determine the compositions of the off-gas and liquid hydrocarbon, which were analyzed on a DB-1 capillary column (30 m × 0.53 mm) with a temperature programed from 40 to 250 °C (maintained at 40 °C for 5 min). Calibration of the detector response was carried out by injecting gas mixtures of known composition. A helium carrier gas was injected into a GC-FID column and measured using gas conductivity (flow rate = 30 mL min−1). The products in the aqueous phase were identified by injecting a sample with standard compounds. The chromatography conditions are briefly summarized in Table 5.

Table 5 Sampling product analysis by gas chromatography.
GC model Stationary phase Column temperature (°C) Detector types Gas carrier Product sampling Components
Agilent 6890 N Plot Q and Molecular sieve 40–250 TCD He 1.0 mL (on-line) CO2,CO, H2, CH4
Agilent 6890 N Capillary DB-1 40–250 FID He 0.25 mL (on-line) C1–C4
0.05 μL C5–C24

The description in terms of CO conversion, selectivity, chain growth probability and yield of products is given below. The CO conversion (%) is evaluated according to the normalization method using Eq. (1).

(1)
CO conversion ( % ) = Moles of CO converted to hydrocarbon product Moles of CO fed into reactor × 100 The selectivity (%) toward the individual components based on carbon was calculated according to the same principle using Eq. (2).
(2)
Selectivity of j product ( % ) = Moles of j product Moles of all products × 100
To describe the experimental deviation, the “Anderson–Schultz–Flory” distribution model was used in this study. The distributions followed an exponential function as stated in Eq. (3).
(3)
W n = n ( 1 - α ) 2 α n - 1
After taking the logarithm on both sides of Eq. (4), the following equation resulted:
(4)
log ( W n / n ) = n · log ( α ) + log ( 1 - α ) 2 α
where Wn is the weight fraction of the products with the carbon number (n) obtained from the experimental results involving hydrocarbons from C1 to C24. In addition, the chain growth probability (α) depends upon the reaction conditions and the type of catalyst (Dry, 1982).

During the small-scale experiments, the H2/CO molar feed ratio was reduced by lowering the flowrate of hydrogen and keeping the flowrate of carbon monoxide constant. Consequently, both the catalyst loading and the total flowrate were adjusted to keep the same space velocity under atmospheric pressure. It is critical to adjust the catalyst loading in the pilot reactor, thus increasing the partial pressures of hydrogen. Carbon monoxide and nitrogen balancing techniques could easily adjust the GHSV without breaking the system.

5

5 Results and discussion

5.1

5.1 Catalytic conversion on a small scale

5.1.1

5.1.1 Effect of reaction temperatures

The effects of the reaction temperatures were studied at temperatures of 160, 180, 200 and 220 °C over the catalytic performance of the 10% Ru/γ-Al2O3 catalyst prepared using sol–gel procedures. The molar H2/CO feed ratios were set at 1/1, 2/1 and 3/1. The reduced catalyst was tested to compare the CO conversion, C1–C4 and C5+ selectivity for 36 h. The CO conversion was found to increase with increasing reaction temperature from 160 to 220 °C during the time-on-stream tests, which can be further seen in Fig. 8 for each H2/CO ratio.

Carbon monoxide conversion (%) against time on stream for each H2/CO ratio; (a) H2/CO ratio = 3/1, (b) H2/CO ratio = 2/1 and (c) H2/CO ratio = 1/1 for the FT synthesis by considering the effect of different temperatures at 160 °C, 180 °C, 200 °C and 220 °C over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure and with space velocity = 1036 h−1.
Figure 8 Carbon monoxide conversion (%) against time on stream for each H2/CO ratio; (a) H2/CO ratio = 3/1, (b) H2/CO ratio = 2/1 and (c) H2/CO ratio = 1/1 for the FT synthesis by considering the effect of different temperatures at 160 °C, 180 °C, 200 °C and 220 °C over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure and with space velocity = 1036 h−1.

When the inlet H2/CO was maintained at 3/1 (Fig. 8a) and a temperature of 160°C, the corresponding CO conversion was found to be 31.1%, which slightly increased to 41.2%, 42.4% and 43.0% as the temperature was raised to 180, 200 and 220 °C, respectively. In a similar fashion for the inlet H2/CO of 2/1 (Fig. 8b), the CO conversion trend was not distinguishable for the three different temperatures of 180, 200 and 220 °C with CO conversions of 31.5%, 33.4% and 34.8%, except for the temperature of 160 °C, which showed the lowest of the conversion level of 25.0%. Consequently, at a H2/CO ratio of 1/1 (Fig. 8c), an increase in the reaction temperature from 180 to 200 °C resulted in an increase in CO conversion from 15.9% to 17.9%, unless the temperature was 160 °C, for which the CO conversion cannot be measured. This result might not be appropriate for any purpose if it is compared to other temperatures. Based on the data above, the temperature of 160 °C showed the lowest conversion level and availability of any hydrocarbon product for a H2/CO ratio of 1/1. This observation may be possible because the catalyst active site structure of 10% Ru/γ-Al2O3 was not amenable to CO hydrogenation and chain growth under these conditions. The performance of catalyst design depends not only on the pretreatment handling but also on the values of the thermodynamic conditions.

A detailed comparison of the hydrocarbon products obtained at four different temperatures is presented in Fig. 9, which illustrated the effect of the reaction temperature on the liquid hydrocarbon distribution (C5+) of three different H2/CO ratios in units of μmole per gram of catalyst per unit of time (second) against carbon number (n). Fig. 9a contains the highest H2/CO ratio (3/1) at temperatures of 200 and 220 °C, which favored the C7–C24 distribution as the temperature increased, while the hydrocarbon distribution of C9–C22 was observed at a temperature of 180 °C, and the range of C10-C15 appeared at a temperature of 160 °C. Moreover, the liquid hydrocarbon distribution obtained with H2/CO ratios of 2/1 and 1/1 (as depicted in Fig. 9b and c) showed different quantities at temperatures of 200 and 220 °C. On the contrary, it did not show such differences between reaction temperatures of 160 °C and 180 °C. When the inlet H2/CO was carefully set to 1/1, as shown in Fig. 9c, our catalyst showed very high activities at a reaction temperature of 180 °C (as cross-checked from the TPSR analysis) with small amounts of liquid hydrocarbon products. The 10% Ru/γ-Al2O3 catalyst was active for the hydrogenation of carbon monoxide, which is related to its high natural activity. It was also the important reaction at low temperatures for the desired hydrocarbon products (Pichler, 1952; Vannice, 1975; Schulz, 1977).

Liquid hydrocarbon distribution (C5+) against time on stream for each H2/CO ratio; (a) H2/CO ratio = 3/1, (b) H2/CO ratio = 2/1 and (c) H2/CO ratio = 1/1 for the FT synthesis by considering the effect of different temperatures at 160 °C, 180 °C, 200 °C and 220 °C over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure and with space velocity = 1036 h−1.
Figure 9 Liquid hydrocarbon distribution (C5+) against time on stream for each H2/CO ratio; (a) H2/CO ratio = 3/1, (b) H2/CO ratio = 2/1 and (c) H2/CO ratio = 1/1 for the FT synthesis by considering the effect of different temperatures at 160 °C, 180 °C, 200 °C and 220 °C over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure and with space velocity = 1036 h−1.

At a constant H2/CO feed ratio, it is clear that an increase in the temperature of the FT reaction led to an improvement in the CO conversion and yielded greater formation of methane and other light gas components. In agreement with previous results reported by Chernobaev et al. (1997), Schulz (1999), and Escalona et al. (2009), an increase in the reaction temperature would favor a shift to the formation of lower-molecular-weight hydrocarbons on the catalysts. At the same time, an increase in the reaction temperature also led to a shift in the distribution of the liquid hydrocarbon with higher chain lengths. From our experimental data, by increasing the reaction temperature to 220 °C, an increase in higher chain lengths than in the experiment with a reaction temperature of 160 °C can be observed. This observation could be correlated to the product desorption behavior in two hydrocarbon product groups (gaseous and liquid hydrocarbon) on 10% Ru/γ-Al2O3. First, it is well known that hydrogen diffuses faster on the catalyst surface than does carbon monoxide (Yu et al., 2002; McDaniel et al., 2007) and carbon atoms in the carbide phase react with hydrogenate and provide more CH, CH2 and CH3 species; these species are intermediates in the formation of methane and other light hydrocarbon gases. More unstable carbides for further hydrogenation to CH4 and light gas hydrocarbons may be released. Therefore, the effects of increasing the reaction temperature could not be explained solely by observing the light hydrocarbon gases. However, the effects of increasing the reaction temperature could be clarified by considering the liquid hydrocarbon products as shown in Fig. 9a–c. Apparently, increasing the temperature causes a shift to products with higher carbon number (C5+). The reason is that the desorption term (chain termination) increases in this case. Moreover, at higher temperatures, the process of heavier hydrocarbon production in this reactive system accelerates.

The above results can be used to estimate the chain growth probability (α). Fig. 10 displays plots of the Anderson–Schulz–Flory (ASF) distribution as a function of reaction temperature. As seen in this figure, the combination of the gaseous (C1–C4) and the liquid hydrocarbon was used to calculate the values of Wn/n. As observed, there was a spread deviation in the ASF distribution curves between the light gas (C1–C4) and the liquid product (C5+) because of the separate GC analyses. According to the shapes of the ASF distribution curves, an H2/CO ratio of 3/1 was chosen as the inlet ratio value for further experiments. All product distributions can approximately be classified into three ranges: C1–C4, C5–C9 and C10+. To compare on a quantitative basis, the temperature effect on the α value and the slope of the best line for the range of C10+ were fitted to evaluate the value of α with an R2 value of almost 95%. The ASF distributions have a slight declining tendency with an increase in the carbon number, while the lower temperature led to more heavy hydrocarbons (C10+) and fewer light ones (C1–C9). Moreover, for the chain growth probability, the value of α decreased from 0.88 to 0.85 when the reaction temperature was increased from 160 to 220 °C. These results are in the agreement with the early results reported by Puskas and Hurlbut (2003), Liu et al. (2007), and Dasgupta and Wiltowski (2011), which improve as the catalytic basicity increases. Higher temperatures tend to favor the formation of light hydrocarbons, while lower temperatures were favorable for the production of heavy hydrocarbons. Therefore, the selectivity to C5+ slightly decreased with increasing temperature.

Effect of reaction temperature on the ASF distribution of hydrocarbon against carbon number (H2/CO ratio = 3/1, atmospheric pressure, space velocity = 1036 h−1).
Figure 10 Effect of reaction temperature on the ASF distribution of hydrocarbon against carbon number (H2/CO ratio = 3/1, atmospheric pressure, space velocity = 1036 h−1).

The selectivity of C1–C4 (light gas hydrocarbons) gradually increased from 0.01% when the reaction temperature was 160 °C to 14.55% as the reaction temperature was increased to 220 °C. However, in agreement with our expectations, the selectivity of C5+ (liquid hydrocarbons) was observed to be opposite to that of the light gas hydrocarbons; namely, it was diminished by approximately 12%. From these trends, it can be concluded that the CO conversion increases with increasing reaction temperature, while the selectivity to C1–C4 (light hydrocarbon) increases, except for the C5+ selectivity, which gradually decreases over the four different temperatures.

5.1.2

5.1.2 The effect of the inlet H2/CO molar ratios

The H2/CO ratios were varied from 1/1 to 3/1, while the temperature was fixed for each H2/CO ratio at 160, 180, 200, and 220 °C. The gas hour space velocity for all these experiments was maintained at a value of 1036 h−1. To easily comprehend and conclusively interpret these effects, the performance of the catalyst CO conversion is shown in Fig. 11. It can be observed that CO conversion against time-on-stream was continuously enhanced by increasing the value of the H2/CO molar ratio. Fig. 11a illustrates that at the reaction temperature that was imposed, namely, 220 °C, the CO conversion remained constant at approximately 43% for H2/CO molar ratios as high as 3/1 and then decreased to ∼35% and 18% when the hydrogen partial pressure was diminished. A similar pattern of curves between Fig. 11b and c indicate that a further increase in the H2/CO ratio resulted in a significant increase in the CO conversion because the conversion decreased dramatically when the H2/CO ratio fell to unity. Furthermore, a temperature of 160 °C (Fig. 11d) had the lowest conversion of all of the experiments. CO conversions of 31% and 25% were obtained for H2/CO ratios of 3/1 and 2/1; however, for an H2/CO ratio of 1/1, the CO conversion could not be measured, which could be correlated with the deficient partial pressures of hydrogen present at the reaction conditions.

Carbon monoxide conversion (%) against time on stream for each temperature; (a) 160 °C, (b) 180 °C, (c) 200 °C and (d) 220 °C for the FT synthesis by considering the effect of different H2/CO ratios at H2/CO ratio = 1/1, H2/CO ratio = 2/1 and H2/CO ratio = 3/1 over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure; space velocity = 1036 h−1.
Figure 11 Carbon monoxide conversion (%) against time on stream for each temperature; (a) 160 °C, (b) 180 °C, (c) 200 °C and (d) 220 °C for the FT synthesis by considering the effect of different H2/CO ratios at H2/CO ratio = 1/1, H2/CO ratio = 2/1 and H2/CO ratio = 3/1 over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure; space velocity = 1036 h−1.

Compared with the above-mentioned experimental runs and the differences in steady-state CO conversion levels, the effect of the H2/CO feed ratios on the FT reaction has significant influence on the conversion. Clearly, the conversion of the higher inlet H2/CO ratio was performed over a 10% Ru/γ-Al2O3 catalyst for each reaction temperature, but there is a clear difference in the overall conversion when compared to the lower inlet H2/CO ratio. The experiments at lower H2/CO ratios (decreased hydrogen partial pressure) led to lower overall CO conversions over FT catalysts. This finding can be attributed mostly to the relative partial pressures of hydrogen present in the feed stream, which is similar to the previously reported results of Riedel et al. (1999), Tavasoli et al. (2010), and De la Osa et al. (2011), which showed that higher hydrogen partial pressure leads to increase in CO conversions over ruthenium catalyst.

The hydrocarbon distributions at three different H2/CO ratios are illustrated in Fig. 12. It seems that the product distributions were raised due to the increase in the hydrogen partial pressure. At the same time, a higher H2/CO ratio in the feed leads to higher-molecular-weight hydrocarbons compared with the deficient ratios. At a H2/CO ratio equal to 3/1 and temperatures of 220 °C and 200 °C (Fig. 12a and b), C7–C24 groups were mainly obtained. Fig. 12c did not show any difference in the hydrocarbon product distributions for varying inlet H2/CO ratios, except for the decreasing production rate. Additionally, Fig. 12d shows the lowest product distributions and production rate of all subsequent experiments. These results reflect that the H2/CO ratio plays a very important role in the FT reaction and directly influences the product selectivity and quantity.

Liquid hydrocarbon distribution (C5+) against time on stream for each temperature; (a) 160 °C, (b) 180 °C, (c) 200 °C and (d) 220 °C for the FT synthesis by considering the effect of different H2/CO ratios at H2/CO ratio = 1/1, H2/CO ratio = 2/1 and H2/CO ratio = 3/1 over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure; space velocity = 1036 h−1.
Figure 12 Liquid hydrocarbon distribution (C5+) against time on stream for each temperature; (a) 160 °C, (b) 180 °C, (c) 200 °C and (d) 220 °C for the FT synthesis by considering the effect of different H2/CO ratios at H2/CO ratio = 1/1, H2/CO ratio = 2/1 and H2/CO ratio = 3/1 over the 10% Ru/γ-Al2O3 catalyst under atmospheric pressure; space velocity = 1036 h−1.

The detailed product distribution of hydrocarbons under three different H2/CO ratios is depicted in Fig. 13. According to the shapes of the curves for ASF distribution, a reaction temperature of 220 °C was chosen to study the effect of the H2/CO ratio. As a result, the value of α decreased from 0.92 to 0.89, which occurred when H2/CO ratio was increased from 1/1 to 3/1. Our data clearly showed that a higher H2/CO ratio was preferential for the formation of light hydrocarbons, while a lower H2/CO ratio was favorable for the production of heavy hydrocarbons. This phenomenon may be attributed to the increased H2 enrichment (high hydrogen partial pressure) corresponding to the increasing H2/CO ratio in the feed, thus increasing the probability of the CO reacting on the catalyst surface through the dissociation of C-atoms and participating in the chain propagation with H2 species. Consequently, the monomeric hydrocarbon reacted with incoming H2 and a new monomeric free radical species, leading to incorporation of hydrocarbons in the chain polymerization and the chain termination step on the active surface areas of the ruthenium catalyst, which promotes formation of the heavier hydrocarbon product compared with the deficient H2/CO ratio. At the same time, the monomer hydrocarbon may be reacted with incoming H2 for alternate ways to produce methane and other chemicals. De la Osa et al. (2011) have reported that an increase in the H2/CO ratio increases the gaseous and liquid hydrocarbon product. Likewise, with increasing H2/CO partial pressure ratios, the deviation from a normal ASF distribution decreases (Riedel et al., 1999; Jun et al., 2004; Tavasoli et al., 2010). This conclusion has been confirmed in this study.

Effect of H2/CO ratio on the distribution of hydrocarbon against carbon number (Temperature = 220 °C, atmospheric pressure, space velocity = 1036 h−1).
Figure 13 Effect of H2/CO ratio on the distribution of hydrocarbon against carbon number (Temperature = 220 °C, atmospheric pressure, space velocity = 1036 h−1).

5.1.3

5.1.3 Statistical analysis

A correlation of technical parameters was assembled into a framework that assists in a comprehensive explanation by taking into account all possible variable relationships implied by the experimental data, including the effects of the operating parameters. Within this correlation, we were interested in studying whether the relationships between two variables have an impact on the response variables of interest. Therefore, it was necessary to have some type of the systematic manner, such as statistical tools, to build predictive models relating these parameters and catalyst response variables (which may be used to collect primary data for reactor simulator development). This idea received much attention in the present study, determining the relationships among these parameters and their interactions over Ru catalyst. These relationships were interpreted using the statistical analysis to increase the confidence and indicate a possible direction for an analytical approach. The related variables and data analysis under different conditions were analyzed using the Minitab statistical software (Version 16.1) from Minitab Corporation, which was used under academic license by the Faculty of Engineering, KMUTNB, Thailand.

Our experimental results were used to evaluate the effect of the parameters on the reaction conditions. The relationship of the inlet H2/CO ratio (X1) and the reaction temperature (X2) was determined to verify their response using surface methodology (RSM). Consequently, the relationships between the variables and the response were fitted and statistically derived using the 2nd-order polynomial equation model for each response. This model can be expressed with coded variables (X1, X2) as in (Eq. (5)).

(5)
Y = B 0 + B i × X i + B ii × X i 2 + B ij + X ij where Y is the predicted response, X is the independent variable, B0 is the equation parameter for the constant (intercept) term, Bi are the linear terms, Bii are the squared terms for a single variable, and Bij are the interaction terms (i = 1, 2 and j = 1, 2).

The results of the fitted models are shown in Table 6, where Y1 is the predicted CO conversion (%), Y2 is the predicted C1–C4 selectivity (%), and Y3 is the predicted C5+ selectivity (%). The coefficients of determination (R2) for Y1, Y2 and Y3 were 0.9855, 0.9569 and 0.9358, respectively. Fig. 14 shows the predicted response function and the effects of the independent variables (X1 and X2) on the dependent variables (CO conversion, C1–C4 selectivity and C5+ selectivity). The effects of the independent variables on Y1 are shown in Fig. 14a. An increase in the CO conversion was observed with an increase in the H2/CO ratio and reaction temperature. Similarly, in Fig. 14b, moving up the curve of C1–C4 selectivity indicates a significant increase between two operating parameters. In contrast, increasing the inlet H2/CO ratio and reaction temperature tends to decrease the C5+ selectivity (Fig. 14c). These results are consistent with the experimental results and can be explained by the fact that the higher reaction temperature can lead to more hydrogenation of carbon atoms. The increase in the H2/CO molar ratio led to an enhancement in the CO conversion and FT synthesis rate, thereby producing more light gas and liquid hydrocarbon products.

Table 6 Response surface model for analyzing the effect of reaction conditions for the 10% Ru/γ-Al2O3 catalyst.
Response Second order polynomial model R2 P-value
CO conversion (%) Y 1 = 34.374 + 12.0963 · X 1 + 4.1824 · X 2 - 5.8558 · X 1 2 - 2.4808 · X 2 2 + 1.05 · X 1 · X 2 0.9855 1E−04
CH4 selectivity (%) Y 2 = 5.165 + 4.13546 · X 1 + 6.21914 · X 2 - 0.5625 · X 1 2 + 3.5225 · X 2 2 + 3.395 · X 1 · X 2 0.9569 1E−04
C5+ selectivity (%) Y 3 = 94.835 - 1.8134 · X 1 - 4.8971 · X 2 - 0.5187 · X 1 2 - 4.6038 · X 2 2 - 5.72 · X 1 · X 2 0.9358 1E−04
Response surface plots showing the interactions among inlet H2/CO ratio and reaction temperature (°C). (a) CO conversion (%), (b) C1–C4 selectivity (%) and (C) C5+ selectivity (%) over 10% Ru/γ-Al2O3.
Figure 14 Response surface plots showing the interactions among inlet H2/CO ratio and reaction temperature (°C). (a) CO conversion (%), (b) C1–C4 selectivity (%) and (C) C5+ selectivity (%) over 10% Ru/γ-Al2O3.

5.1.4

5.1.4 Kinetic study

For this study, the Ru-based catalyst was in the form of fine particles; thus, intra-particle diffusion could be ignored, and we could prove this from our experimental results and the plot of GHSV against conversion. These results were not presented in this article. Once GHSV increased to a value between 3000 and 5000 h−1 by varying the catalyst weight, the CO conversion was at almost the same level. The available evidence indicated that external diffusion did not show a significant effect using GHSV. Therefore, our kinetic experiments were conducted free from internal and external mass transfer limitations. Two criteria must be subsequently considered: first, fresh Ru catalyst was used in each experiment to avoid the problem of catalyst deactivation. Second, the catalyst was diluted with an inert material (silicon carbide) to maintain a uniform catalytic bed temperature (isothermal conditions), and the axial temperature distribution was secured using the criterion of Mears (1974) and Mollavali et al. (2008), which should be L/dp > 50.

The kinetic studies were initially calculated considering the fixed bed as an ideal tubular flow reactor or a plug flow reactor. The experiments were conducted using a mixed gas consisting of H2, CO and balanced N2 over a temperature range of 160–220 °C, a feed inlet H2/CO molar ratio of 1/1–3/1, a total pressure of 1 atm and GHSV of 3600 h−1. The mathematic assumption stated that because the ideal tubular flow reactor was also a steady-state flow device, there was no accumulation term in Eq. (6), and thus, the material balance for a cross-sectional slice of reactor simplifies to

(6)
0 = Input - Output - disappearance by reaction In mathematical terms, Eq. (6) becomes
(7)
F CO 0 · dX CO = ( - r CO ) · dV
where F CO 0 is the CO molar flow rate (mol/min), (−rCO) is the CO rate of consumption (mol/gcat·min), and V is the reactor volume (cm3), while ρcat is the catalyst density (gcat/cm3) and can be substituted in terms of volume. For the differential reactor, Eq. (7) was changed to an integrated form. Because the compositions were measured only at the inlet and outlet reactors, the best approximation of the integral term in Eq. (8) was determined along the reactor length and becomes
(8)
V F CO 0 = X CO in X CO out dX CO - r CO = 1 ( - r CO ) avg X CO in X CO out dX CO
Eq. (8) simplifies to the expression
(9)
W cat ρ cat · F CO 0 = X CO, out - X CO, in ( - r CO ) avg = X CO, out - 0 ( - r CO ) avg
(10)
( - r CO ) = ρ cat · F CO 0 · X CO, out W cat
All 12 experimental results of the CO rate are tabulated in Table 7 for the kinetic studies. Consequently, the kinetic models were simulated using a LHHW expression in which the surface reaction between the dissociated and adsorbed carbon monoxide on the surface sites was the rate-determining step and enabled the calculation of some kinetic parameters (kCO and bCO).
Table 7 Summary of experimental conditions for kinetic test and results at atmospheric pressure, H2/CO = 1/1–3/1, T = 160–220 °C and space velocity = 3600 h−1.
No. Temp. (C) H2/CO ratio P H 2 (atm) PCO(atm) P N 2 (atm) Ptotal (atm) Wcat (g) XCO (%) − rCO(mol/min gcat)
1 160 1 0.333 0.333 0.334 1 4.68 10.1 6.915E−05
2 180 1 0.333 0.333 0.334 1 4.68 10.8 7.394E−05
3 200 1 0.333 0.333 0.334 1 4.68 11.2 7.668E−05
4 220 1 0.333 0.333 0.334 1 4.68 14.4 9.858E−05
5 160 2 0.333 0.167 0.500 1 7.20 23.0 1.024E−04
6 180 2 0.333 0.167 0.500 1 7.20 31.4 1.397E−04
7 200 2 0.333 0.167 0.500 1 7.20 31.9 1.420E−04
8 220 2 0.333 0.167 0.500 1 7.20 32.4 1.442E−04
9 160 3 0.333 0.111 0.556 1 7.20 29.8 9.942E−05
10 180 3 0.333 0.111 0.556 1 7.20 38.6 1.288E−04
11 200 3 0.333 0.111 0.556 1 7.20 40.6 1.354E−04
12 220 3 0.333 0.111 0.556 1 7.20 42.8 1.428E−04

An elementary reaction set on sites for each model is presented in Table 8. Then, all of the models obtained were fitted separately using a multi-variable non-linear regression method to minimize the sum of the least squares for each kinetic model. Afterward, the constants of kCO and bCO obtained from the LHHW kinetics, in their logarithmic form, ln kp and In bCO were plotted versus 1000/T at different temperatures using the Arrhenius and adsorption equations. As shown in Fig. 15, good straight lines could be drawn. From the slopes of the corresponding lines, the apparent activation energies (Ea) and the enthalpy (ΔHCO) of adsorption of carbon monoxide were determined and are reported in Table 9.

Table 8 Elementary reaction sets and reaction rate expressions for the FTS (Adopted from Atashi et al. (2010)).
Model No. Elementary reaction Rate equation
FT-I 1 CO + S ↔ COS RDS at No. 1 - r CO = k CO b CO P H 2 2 P CO ( 1 + 2 ( b CO P CO ) 1 / 2 ) 2 Eq. (11)
2 COS + S ↔ CS + OS
3 CS + OS + 2H2 ↔ CH2S + H2O
FT-II 1 CO + S ↔ COS RDS at No. 2 - r CO = k CO b CO P CO P H 2 ( 1 + b CO P CO ) Eq. (12)
2 COS + H2 ↔ CHOHS
3 CHOHS + H2 ↔ CH2S + H2O
Graphical methods (a) Arrhenius plots ln kCO = f(1000/T) for the estimation of the apparent activation energy and (b) Adsorption plots ln bCO = f(1000/T) for the estimation of the heat of CO adsorption with respect to two promising models within four different temperatures under P = 1 atm, H2/CO = 1/1–3/1 and space velocity = 3600 h−1.
Figure 15 Graphical methods (a) Arrhenius plots ln kCO = f(1000/T) for the estimation of the apparent activation energy and (b) Adsorption plots ln bCO = f(1000/T) for the estimation of the heat of CO adsorption with respect to two promising models within four different temperatures under P = 1 atm, H2/CO = 1/1–3/1 and space velocity = 3600 h−1.
Table 9 Value of the kinetic parameters at four different temperatures.
Models Rate equation Parameters Temperature, °C (K) Variance, R2
160 (433.15) 180 (453.15) 200 (473.15) 220 (493.15)
FT-I - r CO = k CO b CO P H 2 2 P CO ( 1 + 2 ( b CO P CO ) 1 / 2 ) 2 Eq. (11)
kCO 32.761 48.232 65.512 87.702 0.9989
bCO 0.246 0.192 0.179 0.159 0.9435
FT-II - r CO = k CO b CO P CO P H 2 ( 1 + b CO P CO ) Eq. (12)
kCO 0.218 0.314 0.348 0.475 0.9653
bCO 2.126 1.867 1.709 1.133 0.8583

As shown in Table 10, the values of the activation energy of carbon monoxide consumption estimated from the results obtained using the LHHW in Eqs. (11) and (12) were 28.99 kJ/mol and 21.70 kJ/mol, respectively, while the enthalpy of CO adsorption was found to be −12.20 and −17.32 kJ/mol for these equations. The low values of activation energy of carbon dioxide, obtained in the present study, could be attributed to the reaction of CO with Ru/Al2O3, which has been characterized as a fast reaction, due to the strong affinity of the syngas reactant with the oxides (van Santen et al., 2011).

Table 10 Values of activation energy (Ea) and enthalpy of adsorption (ΔHCO) for CO with two kinetics promising models.
Equation number Ea (kJ/mol) ΔHCO (kJ/mol)⁎⁎
Eq. (11) 28.99 −12.20
Eq. (12) 21.70 −17.32
Arrhenius equation was substituted for determining the activation energy ( E a ) ; k = k 0 exp - E a RT .
Adsorption equation was substituted for determining the enthalpy of CO adsorption ( Δ H CO ) ; b = b 0 exp - Δ H CO RT .

5.2

5.2 Catalytic conversion testing in a FT pilot scale

The influence of two different operation parameters (reactor pressure and GHSV) on the behavior of the FT reaction was proposed. The most efficient operating conditions in the laboratory scale have been determined for liquid production. Initially, syngas passed through the multi-tubular fixed bed reactor and was directly converted into synthetic liquid hydrocarbon fuel. The effluent flow was cooled as quickly as possible by the condenser, and then a mixture of water and oil will spontaneously separate into two phases. Water as a by-product was separated from the oil phase using fractional distillation. Table 11 shows the experimental results for three different reaction conditions in the pilot reactor. The first experimental run (Run No.1) had an inlet syngas flow of H2/CO/N2 at 6/3/6 slpm (standard liter per minute). The reaction temperature and pressure were successfully kept at 220 °C and 1 atm, respectively. The testing period for this run was 24 h and the thermodynamic equilibrium and steady state were approached within the first operating hour. The reaction conversion and the overall selectivity were calculated using Eqs. (13) and (14) to be 21.05% and 52.65%, respectively. To increase the reaction conversion, the second experimental run (Run No. 2) was initiated. The underlying principle was to increase the operating pressure to overcome the mass transfer limitations in the heterogeneous system. Run No. 2 had an inlet syngas flow of H2/CO/N2 at 6/3/16 slpm by increasing the total pressure from 1 to 4 atm. More N2 was needed for this run to maintain the reaction temperature at 220 °C. The total run time was 25 h. As a result, a higher conversion of 37.73% was obtained, but the overall selectivity was reduced to 42.18%. The reason is likely that the increase in the reaction pressure affected the initiation step of FT synthesis so that CO conversion was higher than that of the first run. However, with the higher conversion, a larger amount of heat must be removed, and more N2 was fed into the reactor, as mentioned. This increase decreased the partial pressures of the reactants (CO and H2) and possibly caused the chain propagation step of the FT synthesis to slow down, as shown by the smaller value of the overall selectivity.

Table 11 Experimental results for three different reaction conditions in a FT pilot reactor.
Runs Ratio (Lit/min) Temperature °C Pressure (atm) Time on stream (hr) Diesel:Water (mL:mL) Diesel:Water (mL/h) Conversion (%) Overall Selectivity (%)
1 CO:H2:N2 220 (1) 24 47:670 1.96:28 21.05 52.65
3: 6: 6
2 CO:H2:N2 220 (4) 25 60:1250 2.40:50 37.73 42.18
3: 6: 16
3 CO:H2 220 (1) 23 81:1357 3.52:59 66.70 67.29
2: 4

(13)
CO Conversion ( % ) = Moles of CO Consumed Moles of CO Fed into Reactor
(14)
Overall Selectivity ( % ) = Moles of C - atom found in Liquid Product Moles of C - atom Consumed

Because the main products of this work should be liquid hydrocarbons (C5+), the third experimental run (Run No. 3) was then conducted. The objective of the third run was to enhance both the reaction conversion and the overall selectivity. The idea was not to add N2 with the gas reactants, so the partial pressures of CO and H2 were maintained. However, the system without N2 faced the problem of the large amount of heat released by the exothermic FT reaction. Reducing the H2/CO flow rate ratio from 6/3 to 4/2 slpm was necessary to maintain the reaction temperatures under 180 °C by keeping the total pressure at 1 atm. The total run time was 23 h. The results showed the highest conversion of 66.70% and the highest overall selectivity of 67.29%. The increase in both reaction conversion and selectivity found in this run can lead us to significant ideas about how to improve the system performance. Utilizing an effective cooling system was agreed to be the next approach in processing syngas without or with low N2 in which high conversion and selectivity can be expected.

The hydrocarbon product distribution obtained from the pilot-scale operations was also compared with the results obtained from the lab-scale experiments, as shown in Fig. 16. Fig. 16a shows the liquid fuel distribution in Run No. 1. As expected, in Fig. 16b, an increase in the total pressure will shift the equilibrium toward the product side of the reaction and increase the CO conversion. The effect of pressure on both the CO conversion and the process selectivity showed that CO conversion increased with an increase in the reaction pressure, although nitrogen enrichment strongly increased the syngas composition. Within the C5+ fraction, an effect of the pressure on the selectivity was observed. The increase in pressure clearly favored the formation of C5+ for FT catalysts (Li et al., 1998), while C1–C4 gaseous hydrocarbons clearly decreased with an increase in the pressure; these results were not reported in the paper. To ensure that the temperature runaway did not individually or cumulatively have a significant effect on the reactive system, the partial pressure of H2 and CO in Run No. 3 was reduced to test the catalyst performance. Similar results are found in Fig. 16c without N2 dilution. It was observed that decreasing the space velocity results in a shift in selectivity toward lower carbon number products and more hydrogenated products for our Ru catalyst (Narataruksa et al., 2012) and all FT catalysts (Yan et al., 2008; Gujar et al., 2009). Fig. 16d shows typical liquid product fuels obtained at the laboratory scale at 220 °C, GHSV = 1036 h−1 and atmospheric pressure. In general, it was observed that all main products were paraffin (∼55.33%), while C5–C12 contributes ∼23.15% and C13–C24 contributes ∼54.72% of the fractional distribution.

Liquid sample (C5+) accumulated under different reaction conditions in a pilot-scale reactor: (a) represents the chromatographic peak of H2/CO/N2 at 6/3/6 slpm under atmospheric pressure; (b) represents the chromatographic peak of H2/CO/N2 at 6/3/16 slpm under pressurized conditions at 4 atm; (c) represents the chromatographic peak of H2/CO at 4/2 slpm under atmospheric pressure, and the liquid samples accumulated over 36 h further in a small-scale reactor; and (d) represents the chromatographic peak of 220 °C, 1 atm, and H2/CO = 2/1.
Figure 16 Liquid sample (C5+) accumulated under different reaction conditions in a pilot-scale reactor: (a) represents the chromatographic peak of H2/CO/N2 at 6/3/6 slpm under atmospheric pressure; (b) represents the chromatographic peak of H2/CO/N2 at 6/3/16 slpm under pressurized conditions at 4 atm; (c) represents the chromatographic peak of H2/CO at 4/2 slpm under atmospheric pressure, and the liquid samples accumulated over 36 h further in a small-scale reactor; and (d) represents the chromatographic peak of 220 °C, 1 atm, and H2/CO = 2/1.

All of the distribution curves show the same pattern, whereas the product peak appeared between hydrocarbon C5 and C24 (diesel range). The influences of the changes in the operating conditions of the pilot reactor, such as with and without the flow rate of the nitrogen balancing the pressurization, were also investigated to control the factors and interactions of the internal cooling system of the multi-tube reactor. During each test, the temperature profiles of the reaction zone were steadily operated without any problems, such as temperature runaway. These results show that the system configurations with the cooling water were more effective in controlling the runaway behavior and that the thermal fluctuations can be successfully managed in the range of 220–250 °C when the heat and mass transfer effects had a significant effect on the overall performance of a reactor with exothermic chemical reactions. Therefore, it was a good sign that all proposed techniques used to promote higher conversion did not significantly interrupt the termination step of the FT catalyst. However, future work needs to be performed to determine the most appropriate technique to compromise between the reaction conversion and selectivity by controlling the production of water. This balance is necessary before scaling up the process to a commercial scale.

6

6 Significant improvement in the recommended BTL process

The following improvements in the proposed BTL process are considered. The adjustment of the H2/CO molar ratio in the biomass gasification system was a major issue for the downstream process. Currently, the H2/CO ratio from our gasifier, which uses air as a gasifying agent, is ∼0.8–1.0, while a significant ratio of at least 2.0 is desirable for high yields of hydrocarbon fuels.

For the upstream process, the syngas ratio can be varied with existing technology by introducing a water gas shift reaction and co-producing hydrogen. As referenced above, many literature studies indicated that the introductions of a shift converter and pressure swing adsorption are two options to vary the H2/CO ratio in the GTL process, where the syngas composition is similar to the composition in the BTL process. In our future study, we intend to introduce either a shift converter or hydrogen separator after the gasifier to adjust the H2/CO ratio at low temperatures after passing through a dry gas cleaning method using carbonaceous materials. Modeling the syngas capacity of these techniques is thus necessary to design the converter unit from the gasification to FT synthesis steps.

In the FT synthesis reaction, developing a multi-functional catalyst, such as a high-activity, high-stability, high-selectivity and long-operating-life catalyst, is the key challenge for better overall performance when using a mixture of syngas from an air-based gasifier. In the near future, based on anticipated advances in catalyst synthesis, we intend to systematically enhance this step not only to convert invaluable gas contained in syngas derived from biomass but also to enhance the basic durability and stability of the different types of reactors. In addition to focusing on the development of innovative catalysts, integrating catalyst science with process design frameworks, incorporating reactor and process design and simulation, economic (by considering the practical application and cost of the process), safety and risk aspects and life cycle assessment analyses will be studied to pave the way for the development of sustainable catalytic technologies for the conversion of biomass-derived and agricultural non-food-based feedstocks into synthetic hydrocarbon fuels and the production of other chemicals. Of course, the underlying principle of these activities can lead to significant improvements in cost-effective biorefinery processes, accelerating the commercialization speed and overcoming several challenges to optimal synthesis due to its economic benefits.

Fig. 17 shows a photograph of liquid fuel samples obtained using the BTL plant. Here, these samples varied over a wide range of gasoline, kerosene and diesel. As an improvement option to increase the energy efficiency, non-condensable gas (C1–C4) may be fed through a small gas engine for power generation to increase energy efficiency within the combined cycles. Recently, we simulated a systematic framework for the design of BTL process flowsheets using both a commercial process simulator and a cost estimating program. The simulation results revealed that the up-grading steps accounted for half the initial cost. Therefore, in the FT synthesis section, it is necessary to develop a highly selective catalyst that enhances the diesel yield and to develop a process without a thermal separation unit, such as hydrocracking and distillation. In this study, we demonstrated the production of a hydrocarbon liquid fuel from biomass-derived syngas on both scales as a preliminary result. In our future studies to predict the economic feasibility of BTL for an investor/outsider’s perspective, we will explore technological and economic analysis on larger scales to provide approximate cost projections for longer terms.

Photograph of liquid sample obtained by BTL plant operation. Left hand side – commercial diesel, Right hand side – synthetic diesel.
Figure 17 Photograph of liquid sample obtained by BTL plant operation. Left hand side – commercial diesel, Right hand side – synthetic diesel.

7

7 Conclusions

A continuous process, including gasification, syngas cleaning, and FT synthesis, was proposed to demonstrate BTL technology. For the FT reaction details, Ruthenium-based catalyst performance was demonstrated on both a laboratory scale and a pilot scale to catalytically convert syngas to synthetic hydrocarbon fuels. On the laboratory scale, both reaction temperatures and H2/CO molar feed ratios were priority factors chosen to represent the effect of the reaction conditions. The 10% Ru/γ-Al2O3 catalyst presented a markedly higher activity toward the formation of hydrocarbons, especially the formation of the desired higher-molecular-weight hydrocarbon products. The elevation of the reaction temperature from 160 to 220 °C was found to have a significant influence, not only by increasing the CO conversion but also by increasing the light gas (C1–C4) and liquid (C5+) hydrocarbon product selectivity. Similarly, a higher H2/CO ratio, in the range of 1/1, 2/1 and 3/1, had a strong influence on the chain growth probability (α), achieving a maximum C5+ distribution. To verify their relationship using response surface methodology, the results showed that two independent variables (reaction temperature and H2/CO ratio) had a significant effect on the CO conversion and the C1–C4 and C5+ selectivity. Meanwhile, the kinetic constant values at different temperatures were also determined, and the activation energy was found to be 28.99 and 21.70 kJ/mol. The enthalpies of CO adsorption were reported to be −12.20 and −17.32 kJ/mol from these equations.

The results in terms of the hydrocarbon product distribution obtained from the pilot-scale operations were similar to the results obtained from the lab-scale experiments. However, improvements in the overall efficiency of the pilot-scale FT reactor are still a challenge. The work appearing in this paper was considered the first group of experiments that could be very useful. The results indicate further study of the optimum FT reaction conditions to produce transportation fuels. Additionally, the information will be used as the primary engineering data for the data analysis of biomass-to-liquid production based on gasification in future works.

Acknowledgments

Mr. Piyapong Hunpinyo would like to thank the Ph.D. scholarship support of the Thailand Graduate Institute of Science and Technology (TGIST) under the National Science and Technology Development Agency (NSTDA), Grant No. TG-33-21-54-013D, and also thank the Graduate College of KMUTNB for Institutional Research Funding since 2012.

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