Skip to main content
Top
Published in: Biomass Conversion and Biorefinery 1/2017

Open Access 15-04-2016 | Original Article

Behavior of GCMS tar components in a water gas shift unit operated with tar-rich product gas from an industrial scale dual fluidized bed biomass steam gasification plant

Authors: Michael Kraussler, Matthias Binder, Hermann Hofbauer

Published in: Biomass Conversion and Biorefinery | Issue 1/2017

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, the behavior of gas chromatography mass spectroscopy (GCMS) tar components in a three-stage water gas shift (WGS) unit is discussed. The GCMS tar measurements were carried out during the long-term operation (2250 h) of a WGS unit with tar-rich product gas from the commercial biomass steam gasification plant in Oberwart, Austria. In order to investigate the behavior of the GCMS tar components, four tar measurements were performed during the long-term operation of the WGS unit which employed a commercial Fe/Cr-based catalyst. The tar-rich product gas was extracted before reaching the scrubbing unit of the biomass steam gasification plant, therefore, the extracted gas contained a high amount of tar. In order to investigate the behavior of the GCMS tar in the WGS unit, the GCMS tar concentrations were determined at the inlet and the outlet of the WGS unit. The samples were taken during full load operation and during partial load operation of the WGS unit, respectively, the biomass steam gasification plant. In addition to the increase of the volumetric hydrogen content from about 40 % (d.b.) to 50 % (d.b.), the amount of GCMS tar was reduced (up to 38 %) as the gas passed through the WGS unit. No catalyst deactivation was observed. Furthermore, the efficiency of the hydrogen increase or the GCMS tar reduction did not depend on whether the operation of the WGS unit, respectively, the gasification plant was at partial load or full load.
Abbreviations
AC
Aromatic components
ANC
Aromatic nitrogen components
BDL
Below detection limit
BTEX
Benzene, toluene, ethylbenzene, and xylene
CHP
Combined heat and power
d.b.
Dry basis
DFB
Dual fluidized bed
DL
Detection limit
FPD
Flame photometric detector
FR
Flow record
GC
Gas chromatograph
GCMS
Gas chromatography mass spectroscopy
ORC
Organic Rankine cycle
PAH
Polycyclic aromatic hydrocarbons
RME
Rapeseed methyl ester
STP
Standard temperature and pressure (273.15 K and 101325 Pa)
TA
Thermocouples along reactor A
TB
Thermocouples along reactor B
TC
Thermocouples along reactor C
TCD
Thermal conductivity detector
WGS
Water gas shift

1 Introduction

The increasing CO2 emissions caused by increasing energy consumption are one reason for global warming. In order to stop this climate change, CO2 neutral alternatives for the energy supply need to be established. Beside wind, water, and solar energy, biomass is a promising CO2 neutral energy source which has been used for centuries and which is available all over the world.
Biomass gasification offers the possibility of the renewable production of a wide range of products for chemical industry and energy supply. Especially biomass steam gasification, employing the dual fluidized bed (DFB) technology is a proven process. Various products from the biomass, for example, electricity, heat, hydrogen, synthetic natural gas, Fischer-Tropsch products, and alcohols (see [6, 20, 21, 23]) can be produced.
The water gas shift (WGS) reaction (see Eq. 1) can be used to adjust the H2/CO ratio in the generated product gas for several of the above-mentioned synthesis reactions.
$$ CO+{H}_2O\rightleftharpoons {H}_2+C{O}_2\kern1em \varDelta \mathrm{H}=-41.1\mathrm{k}\mathrm{J}{\mathrm{mol}}^{-1} $$
(1)
An unwanted side product of the gasification process is tar. According to [4], tar is a hydrocarbon-containing mixture which can form deposits (ranging from liquid to highly viscous to solid) by a cooling of the gaseous phase down to the ambient temperature.
The tar formation and reduction related to biomass gasification was extensively discussed by different authors, for example in [2, 3, 10, 12, 26].
During a long-term operation of a WGS unit (see [15]), gas chromatography mass spectroscopy (GCMS) tar measurements were performed. The WGS unit employed a commercial Fe/Cr-based catalyst and was operated with tar-rich product gas that was extracted before reaching the scrubbing unit of the commercial DFB biomass steam gasification plant in Oberwart, Austria.
This paper discusses the effects of the WGS unit on the GCMS tar components which were measured in the tar-rich product gas from the commercial DFB biomass steam gasification plant. However, it should be pointed out that the WGS unit was rather operated to increase the hydrogen content of the product gas than to reduce the tar content. Consequently, the observed tar reduction was a positive side effect.

2 Materials and methods

The experimental work was carried out at the site of the DFB biomass steam gasification plant in Oberwart, Austria, where the WGS unit is located. The WGS unit consisted of three reactors in series which employed a commercial Fe/Cr-based catalyst. The GCMS tar samples were taken at the inlet and the outlet of the WGS unit. The GCMS tar analyses were performed by the Test Laboratory for Combustion Systems at the TU Wien. In addition, during the tar sampling, the temperature profile along each reactor was recorded and the gas composition was determined.

2.1 The biomass steam gasification plant

The WGS unit processed product gas from the DFB biomass steam gasification plant in Oberwart, Austria. This plant is a combined heat and power (CHP) plant. Figure 1 shows a simplified flowchart of the overall process.
The gasification plant is based on the DFB steam gasification technology described in detail in [7, 9]. The plant generates heat for the district and electricity with biomass (woodchips) as feedstock. [5, 14] give a short overview of the working principle of the process.
Biomass is fed into the biomass dryer and, subsequently, transported into the gasifier by a screw conveyor. In the gasifier which operates at ambient pressure, the biomass reacts with steam and is in contact with the catalytically active bed material (olivine) at about 850 °C resulting in a product gas with a high hydrogen content (ϕH2 ≈ 40 % (d.b.)). Then, the product gas is cooled and cleaned in a bag house filter and in an Rapeseed methyl ester (RME) gas scrubber. In the RME gas scrubber, tar, NH3, and other condensable fractions of the product gas are removed before the product gas is fed into the gas engines for electricity generation. Heat from the flue gas line is mainly recovered for the process and for district heating. Fly ash is removed before the flue gas is released into the atmosphere.
For the operation of the WGS unit, a partial flow of the product gas was extracted before reaching the RME gas scrubber of the gasification plant (see Fig. 1). Table 1 shows the conditions at this extraction point.
Table 1
Operating conditions at the extraction point (see Fig. 1) of the CHP plant in Oberwart, Austria, at full load operation [6]
Parameter
Before RME scrubber
Units
Temperature
≈ 150
°C
Volumetric H2O content
≈ 35
%
GCMS tar content
≈ 2700–8200
mg m−3
The overall tar content in the product gas which is extracted before the RME gas scrubber is much higher compared to a point after the RME gas scrubber. This is a challenge for a reliable operation of the WGS unit. The product gas composition at the extraction point can be seen in Sect. 3.

2.2 The water gas shift unit

The experimental work was carried out with a WGS unit located at the site of the gasification plant in Oberwart. The WGS unit employed a commercial Fe/Cr-based catalyst (ShiftMax 120). Figure 2 shows a simplified flowchart of the WGS unit.
The WGS unit consisted of three fixed bed reactors (A, B, and C) in series filled with the Fe/Cr-based catalyst. Each catalyst bed had a diameter of about 9 cm and a bed height of about 40 cm, resulting in an Fe/Cr-based catalyst volume of about 2.5 dm3 for each reactor.
Along the height of each reactor, seven type J thermocouples (TA0 to TA6, TB0 to TB6, and TC0 to TC6) were installed in order to record the temperature profiles. At the inlet and outlet of reactors A and B, the gas stream could be heated or cooled in order to achieve the desired gas inlet temperatures of about 350 °C.
In addition to the steam which was already contained in the product gas, more steam was added to the product gas before the inlet of the WGS unit in order to avoid coking and carbon deposition on the surface of the catalyst.
The WGS unit was operated at ambient pressure.
[14, 15] give a detailed description of the WGS unit.

2.3 Measurement of the gas composition and the steam content

A gas chromatograph (GC, Clarus 500 from Perkin Elmer) measured the gas composition before and after the WGS unit.
In the GC, a thermal conductivity detector (TCD) enabled the quantification of CO, CO2, CH4, N2, O2, C2H6, C2H4, and C2H2. The C2 species were summarized and are referred to as C2Hy. The H2 content was determined via calculation. A flame photometric detector (FPD) was used to detect the H2S, COS, and C4H4S content in the product gas.
The steam content of the processed gas was determined via the water balance along the whole of its passage through the WGS unit.
In addition, all gas volumes and volumetric gas flow rates are given at standard temperature and pressure (STP, 273.15 K and 101325 Pa).

2.4 Tar sampling and classification

During the experimental run of the WGS unit, tar samples from the inlet (reactor A) and outlet (reactor C) of the WGS unit were taken. Additional information about the method is available in [24, 25]. Figure 3 shows the principle of the tar sampling, which is described in detail in [15].
Toluene as solvent allowed the determination of the GCMS tar concentration and the water content of the extracted product gas at the same time. However, it did not allow the detection of benzene, toluene, ethylbenzene, and xylenes (BTEX).
The samples were handed over to the Test Laboratory for Combustion Systems at the TU Wien. The Test Laboratory determined the concentrations of the GCMS tar components.
Overall, according to the tar guideline (see [1]), tar can be classified into gravimetric tar and GCMS tar. In addition, several additional classifications for biomass tar exists in literature ([16, 18, 19]). For example, the classification in primary, secondary, and tertiary tar (see [18]). Another approach was chosen by [8, 17]. These authors classified the tar based on the molecular weight.
In this work, the tar is classified according to the molecular weight and the chemical properties which strongly depend on the functional groups of the components (compare [25]). However, this work only considers GCMS tar components which were categorized into groups as described in Table 2.
Table 2
Categorization of all detected GCMS tar components
Phenols
Phenol
Furans
Benzofuran; dibenzofuran
AC
Phenylacetylene; styrene; mesitylene; 1H-indene
ANC
Isoquinoline; indole; quinoline
Naphthalenes
Naphthalene; 2-methylnaphthalene; 1-methylnaphthalene
PAH
Biphenyl; acenaphthylene; acenaphthene; fluorene; anthracene; phenanthrene; 4,5-methylphenanthrene; fluoranthene; pyrene
Thiophenes
1-benzothiophene
Based on [10, 11, 17, 24]

2.5 Characteristic figures

The operating conditions of the WGS unit were described by the following three characteristic figures (see Eqs. 2, 3, and 4). These figures were the gas hourly space velocity (GHSV), the steam to dry gas ratio (STDGR), and the steam to carbon ratio (STCR).
$$ GHSV=\frac{{\overset{\bullet }{V}}_{Dry}}{V_{Catalyst}} $$
(2)
$$ STDGR=\frac{{\overset{\bullet }{V}}_{H2O}}{{\overset{\bullet }{V}}_{Dry}} $$
(3)
$$ STCR=\frac{{\overset{\bullet }{V}}_{H2O}}{{\overset{\bullet }{V}}_{Dry}\cdotp \left({\phi}_{CO}+{\phi}_{CO2}+{\phi}_{CH4}+{\phi}_{C2Hy}\right)} $$
(4)
The values of the GHSV, the STDGR, and the STCR were calculated for the first reactor of the WGS unit and do not consider the other two reactors.
Two figures were used in order to describe the behavior of the GCMS tar components. They were calculated according to Eqs. 5 and 6.
$$ \varDelta ={c}_{i, Outlet}-{c}_{i, Inlet} $$
(5)
$$ \delta =\left(1-\frac{c_{i, Outlet}}{c_{i, Inlet}}\right)\cdotp \left(-1\right)\cdotp 100\% $$
(6)
A negative value of Δ or δ means a decrease of GCMS tar, and a positive value means an increase of GCMS tar along the WGS unit.
In addition, the dilution effect caused by the higher volumetric dry gas flow rate after the WGS unit has to be taken into account. The volumetric dry gas flow rate after the WGS unit is about 20 % higher than the volumetric dry gas flow rate before the WGS unit for all performed GCMS tar measurements. The results show the measured concentrations of the GCMS tar components at the inlet and outlet of the WGS unit.

3 Results and discussion

This section presents the results of four GCMS tar measurements which were carried out during a long-term operation (2250 h) of the WGS unit with tar-rich product gas (see [15]).
For all four GCMS tar measurements, the GCMS tar content was within the typical order of magnitude for DFB biomass steam gasification systems (compare [25]).

3.1 Load conditions of the water gas shift unit and the gasification plant during the GCMS tar samplings

Table 3 gives an overview of the load conditions of the gasification plant and the WGS unit during the four GCMS tar samplings.
Table 3
Overview of the GCMS tar samplings
Number
Hours of operation
Load conditions gasification plant
Load conditions WGS unit
1st
≈ 430 h
Full
Full
2nd
≈ 1190 h
Partial
Full
3rd
≈ 1710 h
Full
Partial
4th
≈ 2050 h
Full
Full
It can be seen that during the first and the fourth GCMS tar sampling, both, the WGS and the gasification plant, operated at full load. However, during the second sampling, the gasification plant operated at partial load due to maintenance work which resulted in a higher steam to fuel ratio in the gasifier of the gasification plant. During the third sampling, the WGS unit operated at partial load due to a problem with the membrane gas pump which extracted the product gas from the gasification plant.

3.2 Operating conditions of the water gas shift unit during the GCMS tar samplings

Table 4 shows the operating parameters of the WGS unit during the GCMS tar samplings.
Table 4
Operating parameters of the WGS unit during the GCMS tar samplings
Number
GHSV
STDGR
STCR
h−1
1st
495
1.6
2.7
2nd
445
1.9
3.2
3rd
326
1.6
2.7
4th
495
1.6
2.7
All parameters are given for the inlet, respectively, the first reactor of the WGS unit
During the first GCMS tar sampling, both the WGS unit and the gasification plant operated at full load. It can be seen that the STDGR and the STCR are higher during the second GCMS tar sampling because the gasification plant operated at partial load. During the third tar sampling, the gasification plant operated at full load and the WGS unit at partial load which is indicated by the lower GHSV. During the fourth GCMS tar sampling, the GHSV, STDGR, and STCR were at the same level as for the first GCMS tar sampling.

3.3 Temperature profiles along the water gas shift reactors

Figure 4 shows the temperature profiles along all three WGS reactors during the GCMS tar samplings.
The temperature profiles indicate that most of the exothermic WGS reaction occurred in the first reactor (reactor A). In reactors B and C, nearly no reaction occurred, therefore, the temperature profile decreased along these two reactors due to heat losses exceeding the temperature increase caused by the exothermic reaction.
During the second GCMS tar sampling, the temperature maximum in reactor A was slightly lower which can be attributed to the lower CO content in the product gas because of the partial load operation of the gasification plant.
During the third sampling, the temperature maximum in reactor A was also lower and the temperature profiles in reactors B and C decreased even more compared to the other GCMS tar samplings. This effect can be attributed to the overall lower volumetric product gas flow rate through the WGS unit caused by the defect membrane gas pump.

3.4 Gas concentrations along the water gas shift unit

Table 5 shows the volumetric concentrations of the measured main gas components during the GCMS tar samplings.
Table 5
Volumetric concentrations (d.b.) of the main gas components of the processed gas along the WGS unit (DL = 2 cm3 m−3)
 
ϕH2
ϕCO
ϕCO2
ϕCH4
 
%
%
%
%
1st Inlet
38.9
25.4
20.7
10.5
1st Outlet
50.0
1.7
36.5
8.7
2nd Inlet
37.3
23.0
24.1
10.4
2nd Outlet
46.0
1.5
37.7
8.7
3rd Inlet
39.8
25.3
21.1
9.5
3rd Outlet
51.4
1.5
36.2
7.8
4th Inlet
38.6
25.9
21.1
9.9
4th Outlet
51.2
1.8
36.3
8.0
 
ϕC2Hy
ϕN2
ϕO2
 
 
%
%
%
 
1st Inlet
2.8
1.5
0.2
 
1st Outlet
1.9
1.1
0.1
 
2nd Inlet
2.4
2.0
0.2
 
2nd Outlet
1.9
2.0
0.2
 
3rd Inlet
2.5
1.7
0.1
 
3rd Outlet
1.9
1.1
0.1
 
4th Inlet
2.6
1.8
0.1
 
4th Outlet
1.9
0.7
0.03
 
The measurement was a single sample measurement. Therefore, no standard deviation can be given
Typical for the partial load operation of the gasification plant was the higher CO2 content at the inlet of the WGS unit compared to the full load operation of the gasification plant. In this case, it was even higher than the CO content. This can be explained by the higher steam to fuel ratio in the gasifier (compare [13]).
Table 6 shows the volumetric concentrations of the measured sulfur components.
Table 6
Volumetric concentrations (d.b.) of the sulfur gas components of the processed gas in the WGS unit (DL = 0.3 cm3∙m−3). The measurement was a single sample measurement. Therefore, no standard deviation can be given
 
ϕH2S
ϕCOS
ϕC4H4S
 
cm3 m−3
cm3 m−3
cm3 m−3
1st inlet
93.7
3.1
4.3
1st outlet
89.3
BDL
2.4
2nd inlet
94.5
4.5
5.1
2nd outlet
84.9
BDL
BDL
3rd inlet
88.6
2.7
4.3
3rd outlet
55.2
BDL
1.5
4th inlet
83.6
2.9
3.9
4th outlet
84.3
BDL
3.7
It can be seen that the sulfur concentrations were within the same order of magnitude during all GCMS tar samplings. In addition, COS was most likely converted to H2S along the WGS unit (compare [22]).

3.5 GCMS tar measurements

Figure 5 shows typical GCMS tar samples taken before reaching and after leaving the WGS unit.
The sample which was taken before reaching the WGS unit can be seen on the left, and the sample which was taken after leaving the WGS unit can be seen on the right. The upper phase of a sample is the toluene phase with the dissolved tar and the lower phase is the water phase. In the following, detailed results of all four GCMS tar measurements will be presented.
Figure 6 summarizes the results of all four GCMS tar measurements.
It can be seen that the overall amount of GCMS tar was reduced while passing through the WGS unit because the unit offered a reactive environment with additional residence time. Depending on the measurement, the overall amount of GCMS tar was reduced by 28 to 38 %.
However, the figure also shows that the overall amount of GCMS tar is different for every single measurement. During the first GCMS tar sampling, fresh olivine was used as bed material in the gasifier. With increasing residence time of the olivine in the gasifier, it came to advancing layer formation on the surface of the olivine. These layers improved the catalytic activity of the olivine and, therefore, led to a lower overall tar content in the product gas which was processed in the WGS unit (compare [11]).
Figure 7 shows the amount of the different tar groups according to Table 2.
Based on these results, aromatic components (AC), naphthalenes, and polyaromatic hydrocarbons (PAH) were considered as the significant GCMS tar groups because they were present in a much higher amount than the other tar groups. This could be explained by the fact that the furans (O), ANC (N), and thiophenes (S) contained a heteroatom in the aromatic ring which made them more reactive. In addition, the OH group of the phenols enhances the reactivity. However, each single tar group decreased along the WGS unit. The decrease was based on two effects. First, the WGS reaction which lead to a higher volumetric dry gas flow rate after the WGS unit. Therefore, the dry gas concentrations of all measured components, except hydrogen and carbon dioxide, decreased. Second, the hydrogenation and decomposition reactions involving tar components. The content of the furans, naphthalenes, PAH, and thiophenes was most probably not significantly decreased by chemical reaction. The decrease mainly occurred because of the about 20 % higher volumetric dry gas flow rate after the WGS unit. The results regarding naphthalene were in agreement with the results gathered by Devi et al. [4] who reported that an increasing amount of H2 in the product gas leads to a decrease in naphthalene conversion.
In contrast, the concentration of the phenols, AC, and ANC was most probably decreased by hydrogenation and decomposition reactions. The decrease caused by hydrogenation and decomposition reactions significantly exceeded the decrease caused by the higher volumetric dry gas flow rate after the WGS unit.
Based on the detailed results (see Tables 7, 8, 9, and 10), it can be seen that phenylacetylene, styrene, 1H-indene, naphthalene, and acenaphthylene were contained in a much higher amount at the inlet of the WGS unit in all four GCMS tar measurements.
Table 7
First GCMS tar measurement in mg m−3
Group
Component
Inlet
Outlet
Δ
δ
Phenols
Phenol
2
BDL
−2
−100 %
Furans
Benzofuran
2
BDL
−2
−100 %
Dibenzofuran
48
36
−12
−25 %
AC
Phenylacetylene
47
BDL
−47
−100 %
Styrene
272
32
−240
−88 %
Mesitylene
BDL
BDL
  
1H-indene
376
109
−267
−71 %
ANC
Isoquinoline
1
BDL
−1
−100 %
Indole
BDL
BDL
  
Quinoline
6
4
−2
−33 %
Naphthalenes
Naphthalene
5804
4291
−1513
−26 %
2-Methylnaphthalene
57
38
−19
−33 %
1-Methylnaphthalene
34
25
−9
−26 %
PAH
Biphenyl
57
44
−13
−23 %
Acenaphthylene
835
47
−788
−94 %
Acenaphthene
24
506
+482
+2008 %
Fluorene
71
56
−15
−21 %
Anthracene
375
467
+92
+25 %
Phenanthrene
49
55
+6
+12 %
4,5-Methylphenanthrene
11
14
+3
+27 %
Fluoranthene
38
56
+18
+47 %
Pyrene
29
44
+15
+52 %
Thiophenes
1-Benzothiophene
7
5
−2
−29 %
All
8145
5829
−2316
−28 %
The measurement was a single sample measurement. Therefore, no standard deviation can be given (DL = 1 mg m−3)
Table 8
Second GCMS tar measurement in mg m−3
Group
Component
Inlet
Outlet
Δ
δ
Phenols
Phenol
BDL
BDL
  
Furans
Benzofuran
BDL
BDL
  
Dibenzofuran
8
7
−1
−13 %
AC
Phenylacetylene
25
BDL
−25
−100 %
Styrene
166
38
−128
−77 %
Mesitylene
BDL
BDL
  
1H-indene
138
65
−73
−53 %
ANC
Isoquinoline
BDL
BDL
  
Indole
BDL
BDL
  
Quinoline
1
BDL
−1
−100 %
Naphthalenes
Naphthalene
3822
2870
−952
−25 %
2-Methylnaphthalene
26
21
−5
−19 %
1-Methylnaphthalene
18
15
−3
−17 %
PAH
Biphenyl
24
21
−3
−13 %
Acenaphthylene
233
6
−228
−97 %
Acenaphthene
37
190
+153
+414 %
Fluorene
9
6
−3
−33 %
Anthracene
118
46
−73
−61 %
Phenanthrene
11
4
−7
−64 %
4,5-Methylphenanthrene
4
2
−2
−50 %
Fluoranthene
33
18
−15
−45 %
Pyrene
30
17
−13
−43 %
Thiophenes
1-Benzothiophene
7
5
−2
−29 %
All
4710
3331
−1379
−29 %
The measurement was a single sample measurement. Therefore, no standard deviation can be given (DL = 1 mg m−3)
Table 9
Third GCMS tar measurement in mg m−3
Group
Component
Inlet
Outlet
Δ
δ
Phenols
Phenol
2
2
  
Furans
Benzofuran
2
2
  
Dibenzofuran
5
5
  
AC
Phenylacetylene
24
BDL
−24
−100 %
Styrene
190
20
−170
−89 %
Mesitylene
1
7
+6
+600 %
1H-indene
165
47
−118
−72 %
ANC
Isoquinoline
BDL
BDL
  
Indole
BDL
BDL
  
Quinoline
1
1
  
Naphthalenes
Naphthalene
2060
1595
−465
−23 %
 
2-Methylnaphthalene
22
19
−3
−14 %
 
1-Methylnaphthalene
15
13
−2
−13 %
PAH
Biphenyl
15
12
−3
−20 %
Acenaphthylene
128
7
−121
−95 %
Acenaphthene
17
103
+86
+506 %
Fluorene
5
5
  
Anthracene
19
15
−4
−21 %
Phenanthrene
4
3
−1
−25 %
4,5-Methylphenanthrene
2
2
  
Fluoranthene
8
6
−2
−25 %
Pyrene
7
6
−1
−14 %
Thiophenes
1-Benzothiophene
5
3
−2
−40 %
All
2697
1873
−824
−31 %
The measurement was a single sample measurement. Therefore, no standard deviation can be given (DL = 1 mg m−3)
Table 10
Fourth GCMS tar measurement in mg m−3
Group
Component
Inlet
Outlet
Δ
δ
Phenols
Phenol
BDL
BDL
  
Furans
Benzofuran
2
2
  
Dibenzofuran
6
4
−2
−33 %
AC
Phenylacetylene
25
BDL
−25
−100 %
Styrene
253
31
−222
−88 %
Mesitylene
BDL
BDL
  
1H-indene
220
39
−181
−82 %
ANC
Isoquinoline
BDL
BDL
  
Indole
4
BDL
−4
−100 %
Quinoline
3
BDL
−3
−100 %
Naphthalenes
Naphthalene
2925
2069
−856
−29 %
2-Methylnaphthalene
28
15
−13
−46 %
1-Methylnaphthalene
19
10
−9
−47 %
PAH
Biphenyl
25
17
−8
−32 %
Acenaphthylene
196
3
−193
−98 %
Acenaphthene
26
122
+96
+369 %
Fluorene
5
2
−3
−60 %
Anthracene
13
9
−4
−31 %
Phenanthrene
1
1
  
4,5-Methylphenanthrene
BDL
BDL
  
Fluoranthene
3
4
+1
+33 %
Pyrene
3
4
+1
+33 %
Thiophenes
1-Benzothiophene
5
3
−2
−40 %
All
3762
2335
−1427
−38 %
The measurement was a single sample measurement. Therefore, no standard deviation can be given (DL = 1 mg m−3)

4 Conclusion and outlook

The varying GCMS tar compositions at the inlet of the WGS unit could be explained by the bed material used, which was olivine. Fresh olivine has significantly less catalytic activity. Therefore, the tar content with fresh olivine is much higher. In contrast, used olivine has significantly higher catalytic activity and, therefore, the tar content is significantly lower [11].
According to the operators of the gasification plant, the bed material had been recently changed before the first GCMS tar measurement. This could explain the significantly higher GCMS tar content at the inlet and the outlet of the WGS unit during the first GCMS tar measurement.
However, the operating conditions of the gasification plant and the WGS unit did not affect the efficiency of the GCMS tar reduction.
The significant GCMS tar components were the AC, the naphthalenes, and the PAH. In passing through the WGS unit, the decrease of the AC was significantly higher than that of the naphthalenes and the PAH. However, beside the increase of the hydrogen content, the WGS unit was able to decrease the GCMS tar content by about 28 to 38 %.
Consequently, the presented results could lead to a simpler tar cleaning process step in the gasification plant process by means of a different and more economical scrubbing agent being used for the gas scrubber when a WGS unit is employed in the process in order to increase the hydrogen content of the product gas.

Acknowledgments

Open access funding provided by TU Wien (TUW). The authors want to thank Air Liquide, Guessing Renewable Energy GmbH, and ISG Energy GmbH for making this research possible. In addition, the plant operators of the CHP plant in Oberwart are gratefully acknowledged.
The authors also thank Binder-Industrieanlagenbau for constructing the WGS unit as well as the company Clariant for providing the Fe/Cr-based catalyst (ShiftMax 120).
Robert Bardolf and Matthias Kuba are gratefully acknowledged for the lively discussions regarding the behavior of the GCMS tar components.
Finally, Silvester Fail is thanked for designing, building, and optimizing the WGS unit in Oberwart, Austria.
This work was carried out within the framework of the Bioenergy2020+ GmbH project “C20005 Polygeneration III.” Bioenergy2020+ GmbH is funded by the states Burgenland, Niederoesterreich, and Steiermark and within the Austrian COMET program which is managed by the Austria Research Promoting Agency (FFG).
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Literature
1.
go back to reference CEN (2006) Biomass Gasification. Tar and Particles in Product Gases. Sampling and Analysis, CEN/TS 15439:2006; European Committee for Standardization (CEN): Brussels, Belgium CEN (2006) Biomass Gasification. Tar and Particles in Product Gases. Sampling and Analysis, CEN/TS 15439:2006; European Committee for Standardization (CEN): Brussels, Belgium
2.
go back to reference D. Dayton. A review of the literature on catalytic biomass tar destruction. Technical Report NREL/TP-510-32815, National Renewable Energy Laboratory (NREL), 2002. D. Dayton. A review of the literature on catalytic biomass tar destruction. Technical Report NREL/TP-510-32815, National Renewable Energy Laboratory (NREL), 2002.
5.
go back to reference N Diaz. Hydrogen Separation from Producer Gas Generated by Biomass Steam Gasification. PhD thesis, Vienna University of Technology, 2013. N Diaz. Hydrogen Separation from Producer Gas Generated by Biomass Steam Gasification. PhD thesis, Vienna University of Technology, 2013.
6.
go back to reference Fail S, Diaz N, Benedikt F, Kraussler M, Hinteregger J, Bosch K, Hackel M, Rauch R, Hofbauer H (2014) Wood gas processing to generate pure hydrogen suitable for PEM fuel cells. ACS Sustain Chem Eng 2(12):2690–2698. doi:10.1021/sc500436m CrossRef Fail S, Diaz N, Benedikt F, Kraussler M, Hinteregger J, Bosch K, Hackel M, Rauch R, Hofbauer H (2014) Wood gas processing to generate pure hydrogen suitable for PEM fuel cells. ACS Sustain Chem Eng 2(12):2690–2698. doi:10.​1021/​sc500436m CrossRef
7.
go back to reference Hofbauer H, Rauch R, Bosch K, Koch R, Aichernig C (2002) Biomass CHP plant guessing—a success story. In: Expert meeting on pyrolysis and gasification of biomass and waste, Strasbourg, France Hofbauer H, Rauch R, Bosch K, Koch R, Aichernig C (2002) Biomass CHP plant guessing—a success story. In: Expert meeting on pyrolysis and gasification of biomass and waste, Strasbourg, France
8.
go back to reference H. Huettler, R. Rauch, and H. Hofbauer. Tar formation in a dual fluidised bed biomass steam gasification plant: quantification and influencing parameters. In BioEuro Success and Visions for Bioenergy, Salzburg, Austria, 2007. H. Huettler, R. Rauch, and H. Hofbauer. Tar formation in a dual fluidised bed biomass steam gasification plant: quantification and influencing parameters. In BioEuro Success and Visions for Bioenergy, Salzburg, Austria, 2007.
9.
go back to reference Kaltschmitt M, Hartmann H, Hofbauer H (2009) Energie aus biomasse. Springer-Verlag Kaltschmitt M, Hartmann H, Hofbauer H (2009) Energie aus biomasse. Springer-Verlag
10.
go back to reference Kiel J (2004) Primary measures to reduce tar formation in fluidised-bed biomass gasifiers. Technical report, ECN Biomass Kiel J (2004) Primary measures to reduce tar formation in fluidised-bed biomass gasifiers. Technical report, ECN Biomass
13.
go back to reference Koppatz S, Pfeifer C, Hofbauer H (2011) Comparison of the performance behaviour of silica and olivine in a dual fluidised bed reactor system for steam gasification of biomass at pilot plant scale. Chem Eng J 175:468–483. doi:10.1016/j.cej.2011.09.071 CrossRef Koppatz S, Pfeifer C, Hofbauer H (2011) Comparison of the performance behaviour of silica and olivine in a dual fluidised bed reactor system for steam gasification of biomass at pilot plant scale. Chem Eng J 175:468–483. doi:10.​1016/​j.​cej.​2011.​09.​071 CrossRef
14.
go back to reference M. Kraussler, M. Binder, S. Fail, K. Bosch, M. Hackel, and H. Hofbauer. Performance of a water gas shift unit processing product gas from biomass steam gasification. In Proceedings of the 23rd European Biomass Conference and Exhibition, Vienna, Austria, pages 668–678, 2015. M. Kraussler, M. Binder, S. Fail, K. Bosch, M. Hackel, and H. Hofbauer. Performance of a water gas shift unit processing product gas from biomass steam gasification. In Proceedings of the 23rd European Biomass Conference and Exhibition, Vienna, Austria, pages 668–678, 2015.
15.
go back to reference Kraussler M, et al (2016) 2250-h long term operation of a water gas shift pilot plant processing tar-rich product gas from an industrial scale dual fluidized bed biomass steam gasification plant. Int J Hydrog Energy. doi:10.1016/j.ijhydene.2016.02.137 Kraussler M, et al (2016) 2250-h long term operation of a water gas shift pilot plant processing tar-rich product gas from an industrial scale dual fluidized bed biomass steam gasification plant. Int J Hydrog Energy. doi:10.​1016/​j.​ijhydene.​2016.​02.​137
16.
go back to reference M Kuebel. Teerbildung und Teerkonversion bei der Biomassevergasung. PhD thesis, University of Stuttgart, Germany, 2007. M Kuebel. Teerbildung und Teerkonversion bei der Biomassevergasung. PhD thesis, University of Stuttgart, Germany, 2007.
18.
go back to reference Milne T, Abatzoglou N, Evans R (1998.) Biomass gasifier "tars": their nature, formation and conversion. Technical Report Report No. NREL/TP-570-25357. National Renewable Energy Laboratory (NREL), Golden, ColoradoCrossRef Milne T, Abatzoglou N, Evans R (1998.) Biomass gasifier "tars": their nature, formation and conversion. Technical Report Report No. NREL/TP-570-25357. National Renewable Energy Laboratory (NREL), Golden, ColoradoCrossRef
19.
go back to reference Rabou L, Zwart R, Vreugdenhil B, Bos L (2009) Tar in biomass producer gas; the Energy Research Centre of The Netherlands (ECN) experience: an enduring challenge. Energ Fuels 23:6189–6198. doi:10.1021/ef9007032 CrossRef Rabou L, Zwart R, Vreugdenhil B, Bos L (2009) Tar in biomass producer gas; the Energy Research Centre of The Netherlands (ECN) experience: an enduring challenge. Energ Fuels 23:6189–6198. doi:10.​1021/​ef9007032 CrossRef
20.
21.
go back to reference Sauciuc A, Abosteif Z, Weber G, Potetz A, Rauch R, Hofbauer H, Schaub G, Dumitrescu L (2012) Influence of operating conditions on the performance of biomass-based Fischer-Tropsch synthesis. Biomass Conv Bioref 2(3):253–263. doi:10.1007/s13399-012-0060-4 CrossRef Sauciuc A, Abosteif Z, Weber G, Potetz A, Rauch R, Hofbauer H, Schaub G, Dumitrescu L (2012) Influence of operating conditions on the performance of biomass-based Fischer-Tropsch synthesis. Biomass Conv Bioref 2(3):253–263. doi:10.​1007/​s13399-012-0060-4 CrossRef
22.
go back to reference Twigg MV (1989) Catalyst handbook. CRC Press, Boca Raton, Florida Twigg MV (1989) Catalyst handbook. CRC Press, Boca Raton, Florida
23.
go back to reference Weber G, Rauch R, Hofbauer H (2015) Influence of ethylene on the formation of mixed alcohols over a MoS2 catalyst using biomass-derived synthesis gas. Biomass Conv Bioref 5(1):85–94. doi:10.1007/s13399-014-0140-8 Weber G, Rauch R, Hofbauer H (2015) Influence of ethylene on the formation of mixed alcohols over a MoS2 catalyst using biomass-derived synthesis gas. Biomass Conv Bioref 5(1):85–94. doi:10.​1007/​s13399-014-0140-8
24.
go back to reference Wolfesberger U, Aigner I, Hofbauer H (2009) Tar content and composition in producer gas of fluidized bed gasification of wood—influence of temperature and pressure. Environ Prog Sustain Energ 28(3):372–379. doi:10.1002/ep.10387 CrossRef Wolfesberger U, Aigner I, Hofbauer H (2009) Tar content and composition in producer gas of fluidized bed gasification of wood—influence of temperature and pressure. Environ Prog Sustain Energ 28(3):372–379. doi:10.​1002/​ep.​10387 CrossRef
25.
go back to reference Wolfesberger-Schwabl U, Aigner I, Hofbauer H (2012) Mechanism of tar generation during fluidized bed gasification. Ind Eng Chem Res 51:13001–13007. doi:10.1021/ie300827d CrossRef Wolfesberger-Schwabl U, Aigner I, Hofbauer H (2012) Mechanism of tar generation during fluidized bed gasification. Ind Eng Chem Res 51:13001–13007. doi:10.​1021/​ie300827d CrossRef
Metadata
Title
Behavior of GCMS tar components in a water gas shift unit operated with tar-rich product gas from an industrial scale dual fluidized bed biomass steam gasification plant
Authors
Michael Kraussler
Matthias Binder
Hermann Hofbauer
Publication date
15-04-2016
Publisher
Springer Berlin Heidelberg
Published in
Biomass Conversion and Biorefinery / Issue 1/2017
Print ISSN: 2190-6815
Electronic ISSN: 2190-6823
DOI
https://doi.org/10.1007/s13399-016-0205-y

Other articles of this Issue 1/2017

Biomass Conversion and Biorefinery 1/2017 Go to the issue