International Journal of Mechanical Engineering and Technology (IJMET) Volume 10, Issue 01, January 2019, pp. 1571–1580, Article ID: IJMET_10_01_160 Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=10&IType=1 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication Scopus Indexed AIR GASIFICATION OF CHAR DERIVED FROM PONGAMIA DE-OILED CAKE IN A FLUIDIZED BED REACTOR Joseph John Marshal S Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India T. Michael N Kumar Department of Mechanical Engineering Bharathiyar college of Engineering and Technology, Karaikal, India Z. Robert Kennedy Department of Mechanical Engineering EASA college of Engineering, Coimbatore, Tamilnadu. India Kondru Gnana Sundari Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India ABSTRACT This work presents the experimental results of gasification of char derived from pyrolysis of Pongamia deoiled cake at maximum oil condition. Experiments are conducted in fluidized bed reactor using air as the gasifying agent. The gasification temperature and equivalence ratio (ER) were varied as per the designed experiment using central composite design to study the influence on the composition of the product gas. The lower heating value (LHV), Gas yield (GY), carbon conversion efficiency (CCE) and cold gas efficiency (CGE) were calculated from the data of the composition of the gas. The experiments were carried out in the temperature range of 600-800 °C, equivalence ratio of 0.26-0.36. Regression equations were proposed as a function of temperature and ER for H2, CO, CH4 and CO2 in the range of experimental conditions. The results showed that at a temperature of 800 °C and ER of 0.35, maximum cold gas efficiency of 52.04% was achieved. The optimum input parameters were identified for maximum gasification efficiency. The product gas with highest LHV, 5 MJ/Nm3 was obtained at 600 °C temperature, 0.26 ER. The product gas obtained through gasification of this kind of char can be used as fuel for syngas engines, for power generation and process heat applications. Keywords: Fluidized bed reactor, gasification, pongamia char, Central composite design http://www.iaeme.com/IJMET/index.asp 1571 editor@iaeme.com Joseph John Marshal S, T. Michael N Kumar, Z. Robert Kennedy, Kondru Gnana Sundari Cite this Article: Joseph John Marshal S, T. Michael N Kumar, Z. Robert Kennedy, Kondru Gnana Sundari, Air Gasification of Char Derived from Pongamia De-Oiled Cake in a Fluidized Bed Reactor, International Journal of Mechanical Engineering and Technology 10(1), 2019, pp. 1571–1580. http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=10&IType=1 1. INTRODUCTION Biomass has a unique potential for making a positive environmental impact, i.e., the CO2 emitted in processing the biomass would be absorbed by the fresh biomass. Raw biomass has this advantage over fossil fuels though the energy content is less in the former than petroleum and other products [1]. India, being one of the developing nations, is able to generate biomass of about 500 million metric tons per year [2].Thermo chemical conversion processes are preferred to produce fuel products from biomass, than direct combustion, which has been in practice since ancient times [3]. Faster conversion rate and using all the components of biomass which includes cellulose, hemicellulose, and lignin are the main advantages of thermo chemical conversion process over the biological conversion process. Energy production through gasification conversion route is suitable as the processing of synfuels from biomass will have lower energy cost, waste management improvement and reduction in harmful emission [4]. Higher efficiency and high reaction rates obtained due to intensive mixing in the bed made fluidized bed gasification technology more favorable for biomass conversion [5]. Using air as a gasifying agent is economically beneficial comparing with other gasifying agents [6]. Particle Size, gasification temperature and equivalence ratio are found to be the most influential factors on the gasification performance [7]. The calorific value of the gas was calculated to be above 4.7 MJ/Nm3 and found satisfactory for use in syngas engines [8] Non-edible oil from Pongamia and Jatropha seeds had been selected as a major source for production of biodiesel by the government of India through the massive plantation drive. Therefore more seeds will be used for biodiesel production and for every ton of biodiesel produced, about 3 tonnes of oil cake which has a gross energy value of approximately 19.3 MJ/Kg is generated as waste [9]. The best means is to utilize non-edible cakes as biomass resources instead of dumping as waste so as to realize its energy, economic benefits as well as environmental benefits [10]. Experimental studies on conversion of Pongamia de-oiled cake using different process have been reported in the literature [11-15]. Significant amount of char at maximum oil condition is reported (30-35%). The char obtained has higher carbon content compared to parent material which gives high calorific value. Hence this could be exploited through the gasification process. The formation of tar which is the main problem for the development of gasification technology can be avoided by gasifying char instead of directly gasifying the cake. This is due to the removal of volatile matter during pyrolysis. Gasification of chars produced from jack pine [16], Acacia wood [17], rice husk [18,19], biomass [20], bagasse char and commercial char [21], rapeseed, cotton refuse, olive refuse, pine cone and sunflower shell[22], , petcoke, and chest nut and olive stones[23], of mallee wood[24], empty fruit bunches[25], pine sawdust[26], wood [27], sewage sludge [28], olive tree [29], wood pellet, sewage sludge, rapeseed and miscanthus[30] have been studied by various researchers and presented the data in the literature. To the author’s knowledge, fluidized bed gasification of char derived from Pongamia cake was not reported in the literature. In this study, air gasification of char derived from pyrolysis of de-oiled Pongamia seed cake was done in a bubbling fluidized bed gasifier to observe the effect of temperature and equivalence ratio on syngas composition and low heating value, gas yield, carbon conversion efficiency and cold gas efficiency. Parameters affecting the process were optimized using central composite design and the optimum conditions were identified. http://www.iaeme.com/IJMET/index.asp 1572 editor@iaeme.com Air Gasification of Char Derived from Pongamia De-Oiled Cake in a Fluidized Bed Reactor 2. MATERIAL AND METHODS 2.1. Feed Materials Char derived from pyrolysis of pongamia deoiled cake at maximum oil condition is considered as feed for gasification. The elemental analysis results are presented in Table 1. From the result of the ultimate analysis, the formula for the cake and char is calculated as CH1.71O0.63 and CH0.78N0.22 respectively. Table 1 Results of proximate and ultimate analysis of char comparing with cake Parameters Proximate analysis Moisture Ash Volatile matter Fixed carbon Ultimate analysis Carbon Hydrogen Nitrogen Oxygen(calculated by difference) GCV (Kcal/kg) Cake Char 7.09% 3.54% 3.53% 14.15% 78.03% 14.28% 11.35% 68.03% 47.51% 6.78% 5.66% 72% 4.70% 1.88% 40.05% 21.42% 4622 6336 2.2. Experimental setup The reactor tube made up of stainless steel of height 1000 mm and an internal diameter of 50 mm. six heaters were provided for supplying the required gasification temperature along the height of the reactor and another heater over the pipeline carrying the volatiles from the reactor to the condenser, to avoid condensation inside the pipeline. The rate of heat input was controlled by variac and power input was measured using voltmeter and ammeter. Proper insulation was provided around the reactor using glass wool. Air distributor was installed at the bottom of the reactor for better distribution of air. The thickness of the distributor was 3 mm and contains 50 holes of 2 mm diameter each perforated uniformly on it. The Hopper used for storing the feed was placed at the middle of the reactor from which the feed was taken by a screw feeder powered by a varying speed electric motor. Water jackets were provided at the screw feeder and reactor junction to ensure that the hopper section was at ambient temperature. K-type thermocouples were uniformly placed along the axis to measure the temperature at 6 different locations inside the reactor. The gasifier schematic diagram is shown in Fig 1. Air was supplied by a compressor to the bottom of the reactor through a calibrated rotameter which measures its flow rate. The cyclone separator was provided at the end of the reactor to separate the solid particles in the product gas. A shell and tube heat exchanger was connected to cool the hot gas. Further moisture and dust were removed by passing the gas through silica gel and cotton filter arrangement before collecting it for analysis. 2.3. Gas Analysis A gas chromatograph unit (GC-2014 SHIMADZU, Japan) was used to measure the syngas composition. This unit is fitted with shin carbon ST, 100×120 mesh, 2 m length, 1 mm inner diameter and 1.58 mm outer diameter column, to detect the percentage of H2, CO, CH4, CO2, http://www.iaeme.com/IJMET/index.asp 1573 editor@iaeme.com Joseph John Marshal S, T. Michael N Kumar, Z. Robert Kennedy, Kondru Gnana Sundari C2H2, C2H4 and C2H6 in the syngas using N2 as a carrier gas. The flow rate of the carrier gas was fixed at 10 ml/min, the injection temperature and TCD temperature was maintained at 110 °C and 250°C respectively. During the analysis, the column temperature ranges from 40 °C to 200 °C and kept on hold for 10 minutes for the analysis to complete. A standard mixture of known composition was used for calibration before starting the analysis of the gas. Figure 1. Schematic view of fluidized bed gasifier experimental setup. 2.4. Design of Experiments Design of Experiments (DOE) is a modern approach to conduct experiments designed by the software to optimize, evaluate and predict the output [31]. This helps to find the influential parameters and their trends to determine and control the output. Gasification temperature and Equivalence ratio were selected as process parameters for optimization of syngas composition for maximum values of H2, CO, CH4. In the present study, Design expert v10 software was used. Central composite design under the Response Surface Method (RSM) was employed to evaluate the result. The distance between axial points from the factorial points (α) was given as 1.68. The Process parameters and their range are given in Table 2. Table 2 Process parameters and their values at various levels Factors Temperature(oC) ER -α 559 0.24 -1 600 0.26 0 700 0.31 1 800 0.36 +α 841 0.38 For this study, The Lower heating value (LHV) of the syngas, carbon conversion efficiency (CCE) and cold gas efficiency (CGE) was calculated using the following equations. ∑ (1) (2) (3) http://www.iaeme.com/IJMET/index.asp 1574 editor@iaeme.com Air Gasification of Char Derived from Pongamia De-Oiled Cake in a Fluidized Bed Reactor 3. RESULTS AND DISCUSSION 3.1. Effect of operating parameters on product gas composition The experimental results of gasification of char derived from- Pongamia de-oiled cake are given in Table 6.6. From the results, it is found that H2 (2.81-7.64%), CO (7.49-12.87%), CO2 (7.48-9%), CH4 (6.41-7.98%) are the main gases detected by gas chromatograph. Table 3 Coefficients table-ANOVA results H2 p-values CO p-values CH4 p-values CO2 p-values LHV p-values GY p-values CGE p-values CCE p-values Intercept 6.5694 10.9856 7.238 8.15723 4.56708 2.69846 50.3492 58.8636 A 1.2753 0.0007 0.503328 0.0437 -0.462169 < 0.0001 -0.298742 0.0004 -0.0696968 0.0138 0.0100888 0.6077 -0.552708 0.0952 -1.379 0.1203 B -0.49141 0.0635 -1.2114 0.0006 -0.178529 0.0207 0.367435 < 0.0001 -0.353728 < 0.0001 0.299742 < 0.0001 1.5639 0.0009 1.10484 0.1995 AB 0.4365 0.2090 1.3275 0.0025 A² -0.115325 0.6445 0.464512 0.0723 B² -1.09082 0.0026 -0.614237 0.0267 0.0998268 0.0131 0.0402414 0.1225 -0.103315 0.0028 1.74866 0.0035 6.43294 0.0006 0.934505 0.0188 1.15877 0.2084 -2.09252 0.0003 -4.25482 0.0014 A-Temperature; B- ER According to the ANOVA results (Table 3) temperature is the most influential factor (p<0.05) on H2, CO, CH4 and CO2 gases present in the product gas. The perturbation plots represent the variation of a factor on either side of the central design point (700 °C, 0.31 ER). From Figure 2 it is observed that the concentrations of H2 and CO increased with the rise in temperature. These gases are involved in the gasification reactions both as products and as reactants and the rise in temperature supports their formation [32]. The opposite trend is observed for CH4 and CO2 with the rise in temperature. The reduction in CO2 indicates the significance of Boudouard reaction and water gas reaction at high temperatures which favors the production of CO and H2. The concentrations of hydrocarbons reduced with the rise in temperature since high temperature favors thermal cracking and reforming reactions [1]. ER is also found to be the most influential factor in the production of CO, CH4 and CO2 and to a lesser extent (between 600-700 °C) on the production of H2. Similar trend was observed by Lalaguna et al. (2014) [28] during the gasification of char derived from sewage sludge. http://www.iaeme.com/IJMET/index.asp 1575 editor@iaeme.com Joseph John Marshal S, T. Michael N Kumar, Z. Robert Kennedy, Kondru Gnana Sundari a) b) c) d) Figure 2 Perturbation plots. a) H2 yield b) CO yield c) CH4 yield d) CO2 yield. Effect of Temperature (A) and ER (B) Higher values of ER reduce the formation of H2 and CO and increases CO2 formation. Increasing the ER indicates more oxygen to the gasifier which supports the combustion reaction. This results in an increase of CO2 with the rise of ER. The water gas shift reaction and combustion reaction are significant between 600 °C and 700 °C which results in the rise of H2 and CO2 and a decrease in the content of CO in that temperature range. The concentration of CH4 is found to decrease with ER. It is found that an increase in the ER did not favor the production of CH4. The decrease in the concentrations of CO and CH4 with the increase of ER was also observed by Lv et al. (2004) [1] during the fluidized bed gasification of pine sawdust. The significant increase and negligible increase in the concentrations of CH4 with an increase of steam to biomass ratio, when steam was used as the gasifying agent was reported in the literature[26,27]. The regression equations obtained for the output variables are given in Table 4. http://www.iaeme.com/IJMET/index.asp 1576 editor@iaeme.com Air Gasification of Char Derived from Pongamia De-Oiled Cake in a Fluidized Bed Reactor Table 4 Regression equations for response variables during the gasification of char Res. Regression equations (-27.9491) +( 0.00183553 × T) + (199.586 × ER) + (0.0873 × T × ER) + (-1.15325e-05 × T2) + (436.33 × ER2) 71.7363 + (-0.142303 × T) + (-57.7472 × ER) + (0.2655 × T × ER) + (4.64513e-05 × T2 ) + (-245.695 × ER2) H2 CO CH4 11.5801 + (-0.00462169 × T) + (-3.57058 × ER) N2 53.6399 + (-0.00370465 × T) + (36.7389 × ER) CO2 7.97032 + (-0.00298742 × T) + (7.34871 × ER) GY 0.769437 + (0.000100888 × T) + (5.99485 × ER) LHV CCE CGE 9.58096 + (-0.01252 × T) + (4.57179 × ER) + (0.0199654 × T × ER) + (4.02414e-06 × T2 ) + (41.326 × ER2) 234.081 + (-0.57486 × T) + (176.68 × ER) + (1.28659 × T × ER) + (0.000115877 × T 2) + (-1701.93 × ER2) 85.7681 + (-0.244774 × T) + (305.41 × ER) + (0.349731 × T × ER) + (9.34505e-05 × T2 ) + (837.006 × ER2) Res.-Response (%); T-Temperature; ER-Equivalence ratio 3.2. Effect of operating parameters on GY, LHV, CCE and CGE a) b) c) d) Figure 3 Perturbation plots. a) GY b) LHV c) CCE d) CGE. Effect of Temperature (A) and ER (B) http://www.iaeme.com/IJMET/index.asp 1577 editor@iaeme.com Joseph John Marshal S, T. Michael N Kumar, Z. Robert Kennedy, Kondru Gnana Sundari The effect of temperature and ER on GY, LHV, CCE and CGE are given in Figure 3. The ANOVA results for these four product gas quality index parameters are also mentioned in Table3. From these results, it is found that ER (B) is the most influential factor than the temperature. The interaction term (AB) and the quadratic term of ER (B2) are significant model terms in all the four cases mentioned here. The regression equations based on experimental data for all the quality index parameters are also given in Table 4. From Figure 3 it is found that GY, LHV CCE and CGE ranged between 2.2 and 3.06 Nm3/kg, 3.92 and 5 MJ/Nm3, 47.37% and 64.94% and 43.63% and 53.41% respectively. The GY increased and LHV of the product gas decreased with the rise in ER.The higher value of ER contributes more oxygen to the reactor and favors the reactions for forming the noncondensable gases. The decrease in the concentrations of H2, CO and mainly CH4 with the increase of ER results in the decrease of LHV of the product gas. The CCE and CGE increased between 0.26 and 0.31 and then reduced up to 0.36. According to the studies in the literature [27,32], water gas shift reaction is dominant in the temperature range of 600-700°C when ER is varied from 0.26 to 0.31. Thus H2 yield, CCE and CGE increased initially and then further increase of ER reduced the CCE and CGE. No significant effect of temperature is observed on the GY, LHV, CCE and CGE. 3.3. Optimized model In order to find the optimal conditions or the parameters that give the extremes of the selected objective functions in the boundary of the defined conditions optimization is employed. Limited literature is available that focused on the optimization of the gasification process. The objective considered here for optimization is maximum cold gas efficiency. The model was validated by conducting experiments at optimum conditions found the results to be below 15% error. 4. CONCLUSIONS Synthesis gas was produced via air gasification of char derived from Pongamia de-oiled cake. The gas yield and Composition of synthesis gas was found. The CCE, CGE and LHV were calculated from the data obtained. The central composite design was used to conduct the experiments and results were analyzed using ANOVA. Temperature and ER were found to be the most influential factors on the gas composition and LHV. ER was found to be an influential factor for on GY, CGE and CCE. The maximum yield of H2 was at a temperature of 800 °C, 0.3 ER and maximum yield of CO and CH4 were obtained at 600 °C, 0.26 ER. 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