3.1 Proximate analysis of biomass samples
Proximate analysis of the biomass samples was carried out as per ASTM standard E871-82, E1755-01, and E872-82 (Suman and Gautam 2017), biomass char was also prepared following ASTM standards D1762-84 (Suman and Gautam 2017), the result of proximate analysis is given in Table 1.
Table 1: Proximate analysis and GCV of biomass and char (*db).
Sample Name
|
Volatile Matter Wt.%
|
Fixed Carbon Wt.%
|
Ash Content Wt.%
|
Gross Calorific Value (cal./gm)
|
Raw
|
Char
|
Raw
|
Char
|
Raw
|
Char
|
Raw
|
Char
|
SH
|
78.46
|
9.57
|
10.4
|
80.88
|
11.13
|
9.54
|
4143
|
6431
|
PP
|
71.65
|
7.8
|
15.73
|
79.51
|
12.61
|
12.68
|
4454
|
6264
|
MS
|
78.37
|
16.96
|
12.60
|
64.50
|
9.02
|
18.52
|
4264
|
5994
|
WS
|
70.48
|
8.12
|
15.92
|
64.62
|
13.58
|
27.25
|
4081
|
5456
|
VT
|
77.69
|
15.64
|
17.5
|
72.13
|
4.81
|
12.22
|
3941
|
6081
|
DH
|
77.61
|
11.05
|
17.47
|
83.26
|
4.9
|
5.67
|
4184
|
6899
|
* dry basis
The above Table 1. contains a dry basis proximate analysis of different biomass and their respective chars. All biomass samples having high volatile matters; sun hemp, mustard stem, vantulsi, and dhaincha are having about 78% volatile matter. In char, we can see the extent of the evolution of volatile matter @ 800˚C (VM) into valuable gases. The highest evolution of VM is taken place in sun hemp (nearly 68%), followed by wheat straw (nearly 62%) and dhaicha (nearly 66%). High VM is desired in the present study. After stepped pyrolysis (a series of devolatilization reactions) that progressively leave behind an increasingly condensed carbonaceous matrix, which is nothing but fixed carbon and ash, higher fixed carbon in bio-char indicates higher energy value for the respective char (Ronsse et al. 2013). Dhaicha, Sun hemp, and Pigeon pea chars having about 83%-79% of fixed carbon. Lower the ash content better will be the fuel quality and at the same time lesser problematic in operations. The mustard stem char contains 18.5% of ash and the wheat straw char has 27.25 % ash content, which is higher among all the above samples.
Higher the fixed carbon in biomass higher will the bio-char yield while higher volatile matter and ash content in biomass results in lesser bio-char yield (Leonel JR Nunes, Joao Carlos De Oliveira Matias). Therefore, it can be concluded that greater volatile content leads to higher gas production rather than the solid phase (Nunes et al. 2018).
3.2 Elemental analysis
The elemental (C, H, N, S, and O) analysis of these biomass materials was analyzed by Vario elemental analyzer (IIT (ISM) Dhanbad) using standard ASTM E777, 778, and 775 (Hernandez-Mena et al. 2014). This gives the information only about (C, H, N, and S). The below C, H, N, S, and O are calculated on ash and moisture-free basis. The result of elemental analysis is shown in Table 2.
Table 2: Elemental analysis (wt.%, dry basis).
S. NO.
|
Sample name
|
C (%)
|
H (%)
|
N (%)
|
S (%)
|
O (%)
|
Raw
|
Char
|
Raw
|
Char
|
Raw
|
Char
|
Raw
|
Char
|
Raw
|
Char
|
1.
|
SH
|
53.40
|
93.48
|
7.59
|
1.84
|
2.62
|
0.86
|
0.48
|
0.17
|
35.91
|
3.65
|
2.
|
PP
|
56.13
|
95.42
|
7.77
|
1.62
|
3.19
|
1.03
|
0.43
|
0.09
|
32.48
|
1.84
|
3.
|
MS
|
52.93
|
90.24
|
7.56
|
2.47
|
1.00
|
1.04
|
0.20
|
0.35
|
38.31
|
5.90
|
4.
|
WS
|
47.01
|
92.44
|
6.93
|
2.11
|
1.13
|
1.15
|
0.31
|
0.50
|
44.60
|
3.80
|
5.
|
VT
|
48.24
|
93.15
|
6.93
|
2.24
|
0.68
|
0.70
|
0.15
|
0.17
|
44.00
|
3.56
|
6.
|
DH
|
50.99
|
89.31
|
7.10
|
2.49
|
1.07
|
0.83
|
0.23
|
0.17
|
40.61
|
7.19
|
3.2.1 Carbon & Hydrogen Content:
From Table 2, it is observed that the carbon content in raw biomass samples lies between (47%-56.13%) and in char (89.31% - 95.42%). When a solid fuel (coal, biomass, etc.) is combusted the carbon comes out in the form of CO2 and as hydrocarbons. CO2 can be produced from the organic compounds but, if there is carbonate (e.g., calcite–CaCO3) minerals are present in the sample then it can be liberated from there also ([CSL STYLE ERROR: reference with no printed form.]). This means that the total carbon measurement may include both mineral carbon fraction as well as organic carbon fraction. After pyrolysis processing, the carbon content was increased due to the removal of aromatic hydrocarbons, short and long-chain hydrocarbons, and sulfur (VM) (Muthu Dinesh Kumar and Anand 2019) which is well represented in Table 2.
The hydrogen content in studied raw samples lies in the range of (6.93%-7.77%) and char (1.62% - 2.49%). Hydrogen is the most important element in this investigation that will be responsible for hydrogen production and methane production. Higher the hydrogen content, the better the fuel is. Hydrogen is mainly generated from the condensation of aromatics or alkyl aromatization reaction during pyrolysis at a temperature beyond 400 °C (Liu et al. 2020). Thus, these plants can act as a good source of hydrogen. The difference of hydrogen in raw and in char after pyrolysis processing shows the extent of hydrogen evolution mainly in the form of hydrogen and methane, which is highest in SH and PP. Thus, the high hydrogen-rich fuel can be produced using SH and PP as bio-waste. The C & H content of the sample plays an important role in the combustibility of any biomass (Loison R., Foch P. 1989).
3.2.2 Nitrogen and Sulfur Content:
From table 2, it can be observed that nitrogen content in raw biomass samples lies in the range of (0.68% - 3.19%) and their char lies in the range of (0.70% - 1.15%). The nitrogen content in SH and PP is a little high which is because they are nitrogenous crops. The amount of sulfur present in raw samples of SH, PP, MS, WS, VT, and DH lies in the range of (0.15% - 0.48%) and their char in the range of (0.09% - 0.50%). High sulfur-containing fuel is not suitable for internal combustion engines as well for power production.
The low S & N containing biomass consider as a good fuel because there will be a low formation of sulfur and nitrogen oxides during the thermochemical conversion process (Enweremadu and Ojediran 2004). That is an indication that the biomass samples used in this study will not pollute the atmosphere. The sulfur-containing fuel affects adversely on the metal quality due to its corrosive nature towards metal, because of this reason sulfur-containing fuels are not fit for I.C. engines (Loison R., Foch P. 1989). Therefore, the biomass used in this work can reduce the corrosion severity impact on the equipment use and can reduce the cost for maintenance.
3.2.3 Oxygen Content:
From Table 2, the amount of oxygen present in raw samples is in the range of (32.48% - 44.60%) and their char in the range of (1.84% - 7.19%). Higher oxygen content was found in WS, VT, followed by DH whereas SH and PP have a relatively lower percentage. The thermal decomposition of the oxygen functionality is responsible for the formation of Carbon dioxide and carbon monoxide, which is present in the molecular structure of biomass (Nunes et al. 2018). Thus, for better applicability as a suitable fuel source, the oxygen content and conversion should be less. In the case of SH and PP having lesser oxygen conversion took place, thus making them a better alternative as bio-waste to produce high hydrogen-containing fuel.
3.3 Calorific values:
The combustion of a substance gives energy in the form of heat which can be used for different purposes (the blast furnace, power production, small furnaces, etc.). Biomass consist of volatile matter and fixed carbon as the main source are responsible for high calorific values. Calorific values of different biomass samples were tested in bomb calorimeter [IIT (ISM) Dhanbad] according to (ASTM D4809-00) standard test method (Suman et al. 2017).
The calorific value of raw samples lies in the range of (3941 kcal/kg – 4454 kcal/kg) and their GCV in the range of (5456 kcal/kg – 6899 kcal/gm). well-represented in Table 1. Calorific value is the result of the different combustible elements present in the studied samples like (hydrogen & carbon) majorly. The calorific value also can be calculated by using the below equation developed by Sheng and Azevedo
CV (MJ/kg) = -1.3675 + 0.3137*C + 0.7009*H + 0.0318*O …………. eq. (1) (Sheng and Azevedo 2005).
From this equation, it is seen that hydrogen is more responsible for calorific value than carbon. so high hydrogen is desirable in a fuel. Raw PP has the highest hydrogen content nearly 8% that eventually visualized in its overall highest calorific value. On the other hand, the calorific values of chars are the result of carbon combustion. The higher the carbon content, the higher will be the calorific values of char. DH char is having a high calorific value of about 6900 kcal/kg, this is the result of a high fixed carbon presence in DH.
3.4 Thermogravimetric analysis:
The ASTM E1131-03 standard method was being followed for TGA by using a computerized NETZSCH SAT 449F3 TG analyzer [IIT (ISM) Dhanbad]. The temperature program used for the TGA shown in Figure 2, starts at room temperature to 105°C and is further allowed to go up to 800°C with an increment rate of 25°C/min in a nitrogenous environment.
The main components of all biomass are lignin, hemicelluloses, cellulose, and extractives. Their concentrations vary in different biomass samples depending on their growth conditions as well as from species to species. These components decompose during pyrolysis and produce different condensable (bio-oil and tar) and non-condensable (gases) parts.
From the Table 3, the whole TGA is divided into 5 zones which interpret the decomposition of each component as below.
Table 3: Volatiles released (wt. %) during biomass pyrolysis in TGA
SAMPLE NAME
|
MOISTURE ZONE-I <100
|
Volatiles released (%)
|
Temperature range (˚C)
|
ZONE-II
100 – 300
|
ZONE-III
300-400
|
ZONE-IV
400-600
|
ZONE-V
>600
|
TOTAL
|
SH
|
15
|
9
|
51
|
5
|
3
|
83
|
PP
|
12
|
19
|
27
|
11
|
7
|
76
|
MS
|
10
|
13
|
42
|
9
|
3
|
77
|
WS
|
11
|
11
|
30
|
10
|
5
|
67
|
DH
|
10.5
|
10.5
|
33
|
10
|
9
|
73
|
VT
|
15
|
26
|
20
|
8
|
6
|
75
|
Zone I: <100˚C mainly moisture evolution takes place in this zone.
Zone II: 100˚C-300˚C extractives start decomposing.
Zone III: 300˚C-400˚C predominantly hemicelluloses decomposition.
Zone IV: 400˚C-600˚C mainly cellulose and lignin decomposition.
Zone V: >600˚C mainly lignin decomposition (Raveendran et al. 1996).
Oxygen concentration is higher in the case of hemicelluloses and cellulose as compare to lignin, and from the above table, it is evident that at lower temperature hemicelluloses and cellulose decomposed and lignin decomposed at the higher temperature.
3.5 Gas Chromatographic Analysis:
Analysis of the produced gas was done through Gas Chromatography (GC), results of GC for each of the selected biomass samples are shown below. [Tables 4,5,6,7,8, and 9].
*Overall sampling indicates the sample is taken from the gas storage balloon at the end of the process at room temperature.
R5Sample was collected at 800˚C after 5 minutes of residence time
Table 4: Volumetric Composition of produced gas during the slow pyrolysis process of Sun Hemp.
Temperature
|
Volume %
|
H2
|
CH4
|
CO
|
CO2
|
600˚C
|
7.89
|
35.03
|
33.23
|
23.83
|
700˚C
|
58.8
|
24.6
|
9.8
|
6.8
|
800˚C
|
81.34
|
12.07
|
6.35
|
0.22
|
R5800˚C
|
71.41
|
12.21
|
7.08
|
9.27
|
*Overall
|
57.22
|
20.09
|
10.26
|
12.43
|
From the Table 4, it is seen that in sun hemp, hydrogen starts coming out about 600˚C, the evolution of carbon mono-oxide and carbon- dioxide is higher at lower temperatures. Hydrogen content is increasing as the temperature increases on the other hand carbon monoxide and carbon-dioxide decrease. Methane is higher at starting and it started decreasing at 800oC. The total composition of product gas contains nearly 57% of hydrogen, 20% of methane, 10.26% of carbon monoxide, and 12.43% of carbon dioxide.
Table 5: Volumetric Composition of produced gas during the slow pyrolysis process of Pigeon Pea.
Temperature
|
Volume %
|
H2
|
CH4
|
CO
|
CO2
|
600˚C
|
12.8
|
54.2
|
16.8
|
16.2
|
700˚C
|
50.8
|
32.2
|
11.4
|
5.6
|
800˚C
|
47.08
|
30.5
|
10.3
|
12.12
|
R5800˚C
|
52.49
|
31.3
|
7.14
|
9.07
|
*Overall
|
52.45
|
18.82
|
11.50
|
15.85
|
As evident from Table 5, at 600˚C, the hydrogen is 12.8%, methane is 54.2%, carbon mono-oxide 16.8% and CO2 is 16.2%. At 700˚C, hydrogen increases, and the CH4 also decreases but not much, on the other hand, the concentration of CO and CO2 decreases significantly. Gas composition evolving at further temperatures like at 800˚C and 5 minutes after reaching 800˚C are almost the same as previously. The overall composition obtained from the product gas of pigeon pea was found close to 52.45 % H2, 18.82% CH4, 11.50% CO and approximately 16% CO2 and it is better than coal gas. H2 composition increases from top to bottom w.r.t the increase in temperature. This may be because of the decomposition of lignin at higher temperatures which restricts the decomposition of bonds at lower temperatures.
Table 6: Volumetric Composition of produced gas during the slow pyrolysis process of Mustard Stem
Temperature
|
Volume %
|
H2
|
CH4
|
CO
|
CO2
|
600˚C
|
23.6
|
5.4
|
35.9
|
35.1
|
700˚C
|
29.05
|
23.39
|
23.33
|
18.21
|
800˚C
|
51.3
|
23.03
|
12.62
|
13.05
|
R5800˚C
|
55.08
|
30.02
|
8.88
|
6.02
|
*Overall
|
52.53
|
25.65
|
4.03
|
17.39
|
From the Table 6, it is seen that the evolution of H2 is significant at 600˚C its concentration is about 23.6%, methane concentration is very less like about 5%, CO, and CO2 are high in concentration. At higher temperatures concentration of H2 increases and CH4 also increases but CO and CO2 decrease. The final composition of H2 is about 52 %, CH4 nearly 25%, CO is about 4% and CO2 is about 17%.
Table 7:Volumetric Composition of produced gas during the slow pyrolysis process of Wheat Straw
Temperature
|
Volume %
|
H2
|
CH4
|
CO
|
CO2
|
600˚C
|
27.9
|
43.6
|
12.8
|
14.9
|
700˚C
|
67.03
|
16.4
|
2.49
|
13.98
|
800˚C
|
77.91
|
13.3
|
2.16
|
6.55
|
R5800˚C
|
76.3
|
18.5
|
1.8
|
3.26
|
*Overall
|
51.29
|
19.9
|
9.98
|
19.83
|
From the Table 7, we can see that the production of H2 and CH4 starts at a relatively lower temperature. The concentration of H2 is 27%, CH4 is 43%, CO is 12% and CO2 is 15% at 600˚C. At higher temperatures like at 700˚C, the concentration of hydrogen increases significantly and the concentration of methane, carbon mono-oxide, and carbon dioxide are decreasing. At further temperatures, the concentration of evolving gas is almost the same as at 700˚C. The final gas composition of gas produced during the pyrolysis of wheat straw is H2 51%, CH4 is about 20%, CO is about 10%and 19% CO2.
Table 8: Volumetric Composition of produced gas during the slow pyrolysis process of Dhaicha
Temperature
|
Volume %
|
H2
|
CH4
|
CO
|
CO2
|
600˚C
|
29.39
|
27.27
|
12.39
|
20.07
|
700˚C
|
53.57
|
27.07
|
2.38
|
14.41
|
800˚C
|
60.08
|
25.59
|
3.85
|
9.99
|
R5800˚C
|
67.2
|
19.5
|
4.15
|
9.15
|
*Overall
|
49.95
|
20.56
|
9.1
|
20.39
|
Table 8, shows that the concentration of H2 and CH4 at 600˚C is in a significant amount, and CO, CO2 are relatively low. At higher temperatures, H2 concentration is increasing from 29% to 67 % but in the case of methane, it is almost the same at a higher temperature to about 25%. The concentration of CO and CO2 is decreasing to 9%. The overall composition of H2 is 49%, CH4 is 20%, CO is 9% and CO2 is 20%.
Table 9:Volumetric Composition of produced gas during the slow pyrolysis process of Vantulasi
Temperature
|
Volume %
|
H2
|
CH4
|
CO
|
CO2
|
600˚C
|
34.6
|
7.6
|
1.33
|
55.97
|
700˚C
|
52.8
|
19.5
|
9.2
|
28.5
|
800˚C
|
58.6
|
19.7
|
9.2
|
12.12
|
R5800˚C
|
60.34
|
22.83
|
3.98
|
12.35
|
*Overall
|
38.12
|
8.46
|
1.25
|
51.8
|
From the Table 9, we can see that hydrogen content is 34.6%, methane is 7%, carbon mono-oxide is very less than 1.33% and CO2 is 55% which is high in concentration at 600˚C. At higher temperatures yielding of hydrogen, methane, carbon monoxide, and carbon-dioxide is increasing but carbon dioxide decreases. The overall volumetric concentration of the gaseous sample is H2 38%, methane 8%, carbon mono-oxide 1.25%, and very high carbon dioxide 51.8%.
4. Application of BIO-HCNG in a 2kva petrol Genset for power production
As we can see in Figure 3, that the color of the flame is very light blue which indicates the gaseous mixture is rich in hydrogen and methane which is highly suitable for the internal combustion engines for the transportation sector. ([CSL STYLE ERROR: reference with no printed form.])
A 2kva HONDA petrol Genset is modified for gaseous fuel to utilize the available hydrogen-rich mixture of gaseous fuel from the process. Genset was functioning from the non-condensable gases of the pyrolysis process. As the mixture was hydrogen-rich the Genset creates lesser sound and shows smooth functioning as compared to gasoline fuel. The generator was subjected to full load (1 exhaust of 1kva, 1 cooler of 0.2kva, 1 pump of 0.7kva) at a time.
Table 10, shows the duration of electricity produced using different biomass samples as input (2.5kg biomass) to the reactor and using hydrogen-rich mixture gas as fuel to the generator.
Table 10: Running duration of Genset (in minutes) using produced H2 rich mixture of gases from different biomass samples.
Sample Name
|
SH
|
PP
|
MS
|
WS
|
DH
|
VT
|
Duration (minute)
|
30
|
27
|
28
|
26
|
26
|
16
|
5. Mathematical Analysis
Mathematical analysis is done to obtain correlations MODEL-1, between running time of Genset to net hydrogen (from raw to char composition) as well as the cumulative percentage of Hydrogen percent and Methane percent, and MODEL-2 between running time of Genset to net Hydrogen (from raw to char composition) as well as hydrogen percent, and Methane percent of product gas. The derived model is shown in Table 11.
Data from Table 2, Tables 4 to 9, and Table 10 are used to develop a correlation for estimating the running duration of 2 kva Genset. The correlation was developed using the least square regression analysis in MINITAB 19.2020 software. Some assumptions like constant heating rate and were made to obtain the relation.
Table 11: Derived MODEL-1 and MODEL-2 based on different parameters (ΔH, CG, H2, and CH4).
SOURCE
|
MODEL-1
|
MODEL-2
|
P-VALUE
|
V.I.F.
|
Regression Eq.
|
P-VALUE
|
V.I.F.
|
Regression Eq.
|
Regression
|
0.002
|
-
|
D = -6.25 + 0.996ΔH + 0.3889CG
|
0.004
|
-
|
D = -9.20 + 0.090ΔH + 0.6099H2 + 0.1893CH4
|
ΔH
|
0.186
|
1.32
|
0.851
|
2.62
|
CG
|
0.001
|
1.32
|
-
|
-
|
H2
|
-
|
-
|
0.015
|
7.72
|
CH4
|
-
|
-
|
0.107
|
4.92
|
i.e.,
ΔH = Change in hydrogen wt.% during the pyrolysis process.
CG = Cumulative volumetric gas % of (H2 & CH4) obtained from Gas Chromatography.
H2 = Volumetric gas % of hydrogen reported in Gas Chromatography.
CH4 = Volumetric gas % of methane reported in Gas Chromatography.
5.1 Model Summary
From the regression analysis, I get R- square value = 0.985 for model-1 and R-square =0.997 for Model-2 As the value of R-square is greater than 0.95 then it shows a good correlation between dependent and independent variables (Gautam 2017).
5.2 Analysis of variance.
If the value of P indicates the effect of the independent variable on the dependent variable, the lower the p-value higher the impact on the dependent variable. from the below table10, we can see in model-1 that the P-value for both independent variables is very close to zero, which means both independent variables contribute significantly in the regression eq.1 obtained from the model-1. But in the case of model-2, the value of ΔH having a lesser effect on model-2 as compare to H2 and CH4.
When we are looking for VIF (variance inflation factor) it should be closer to 1. Higher the value indicates the multicollinearity, in the case of MODEL-1 it is 1.32 for both the variable which is very close to 1(desirable) but in the case of MODEL-2, it is 2.62, 7.72, and 4.92 for different variables which are very high (undesirable).
5.2 Residual plots for Duration
From the below Figure 4(a) it is seen that the data are very close to the fitted line, and the line represents the equation of regression. From Figure 4(b), the histogram shows the data are normally distributed which means the regression equation holds for the value beyond the table. In the case of Figure 4(a¢) the data shows relatively more deviation from fitted line, and from Figure 4(b¢) it is seen that the data is not distributed normally.