Optimization of hydrogen production in in-situ catalytic adsorption (ICA) steam gasification based on Response Surface Methodology |
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| Affiliation: | 1. Biomass Processing Laboratory, Centre of Biofuel and Biochemical Research, Department of Chemical Engineering, Universiti Teknologi PETRONAS, 31750 Perak, Malaysia;2. Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham Malaysia campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia;3. Department of Chemical Engineering, The Petroleum Institute, P.O. Box 2533, Abu Dhabi, United Arab Emirates;1. Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, India;2. Department of Chemical Engineering & Technology, Indian Institute of Technology (BHU), Varanasi, India;1. Faculty of Chemical Engineering, Universiti Teknologi Malaysia, UTM 81310, Skudai, Johor Bahru, Johor Darul T’azim, Malaysia;2. Department of Thermodynamics and Fluid Mechanics, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, UTM 81310, Skudai, Johor Bahru, Johor Darul T’azim, Malaysia;3. Faculty of Engineering, Department of Chemical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Balochistan, Pakistan |
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| Abstract: | The present study investigates the optimization of hydrogen (H2) production with in-situ catalytic adsorption (ICA) steam gasification by using a pilot-scale fluidized bed gasifier. Two important response variables i.e. H2 composition (in percent volume fraction, %) and H2 yield (in g kg?1 of biomass) are optimized with respect to five process variables such as temperature (600 °C–750 °C), steam to biomass mass ratio (1.5–2.5), adsorbent to biomass mass ratio (0.5–1.5), superficial velocity (0.15 m s?1–0.26 m s?1) and biomass particle size (350 μm–2 mm). The optimization study is carried out based on Response Surface Methodology (RSM) using Central Composite Rotatable Design (CCRD) approach. The adsorbent to biomass mass ratio is found to be the most significant process variables that influenced the H2 composition, whereas temperature and biomass particle size are found to be marginally significant. For H2 yield, temperature is the most significant process variables followed by steam to biomass mass ratio, adsorbent to biomass mass ratio and biomass particle size. The optimum process conditions are found to be at 675 °C, steam to biomass mass ratio of 2.0, adsorbent to biomass mass ratio of 1.0, superficial velocity of 0.21 m s?1 that is equivalent to 4 times the minimum fluidization velocity, and 1.0 mm–2.0 mm of biomass particle size. The theoretical response variables predicted by the developed model fit well with the experimental results. |
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| Keywords: | Adsorption Central composite rotatable design Fluidized bed gasifier Palm kernel shell Statistical approach |
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