Volatile State Mathematical Models for Predicting Components in Biomass Pyrolysis Products

Pandit Hernowo; Carolus B.  Rasrendra; Yogi W. Budhi; Jenny Rizkiana; Anton  Irawan; Septhian Marno; Yana  Meliana; Oki  Muraza; Yazid Bindar

doi:10.5614/j.eng.technol.sci.2022.54.1.8

Authors

Pandit Hernowo Department of Chemical Engineering, Institut Sains dan Teknologi Al-Kamal, Jalan Raya Al-Kamal No. 2, Kedoya, Jakarta Barat 11520, Indonesia
Carolus B. Rasrendra Department of Bioenergy Engineering and Chemurgy, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesa No. 10 Bandung 40132, Indonesia
Yogi W. Budhi Department of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesa No. 10 Bandung 40132, Indonesia
Jenny Rizkiana Department of Bioenergy Engineering and Chemurgy, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesa No. 10 Bandung 40132, Indonesia
Anton Irawan Department of Chemical Engineering, Engineering Faculty, University of Sultan Ageng Tirtayasa, Banten 42435, Indonesia
Septhian Marno Research and Technology Centre Pertamina, PT. Pertamina, Jalan Raya Bekasi No. 20, Pulau Gadung, Jakarta Timur, Indonesia
Yana Meliana Research and Technology Centre Pertamina, PT. Pertamina, Jalan Raya Bekasi No. 20, Pulau Gadung, Jakarta Timur, Indonesia
Oki Muraza Research & Technology Innovation, Pertamina Sopo Del Building, 51st Fl. Jalan Mega Kuningan Barat III, Jakarta Pusat, Indonesia
Yazid Bindar Department of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesa No. 10 Bandung 40132, Indonesia

DOI:

https://doi.org/10.5614/j.eng.technol.sci.2022.54.1.8

Keywords:

biomass pyrolysis, bio-pyrolysis gaseous, bio-pyrolysis oils, volatile state component models

Abstract

Volatile state mathematical models for quantifying the chemical components in volatile biomass pyrolysis products were developed. The component mass yield Y_i rate depends linearly on its pseudo kinetic constant and the remaining mass yield. The mass fraction rate of each component was modeled from the derivation of its mass yield rate equation. A new mathematical model equation was successfully developed. The involved variables are: biomass number, temperature, heating rate, pre-exponential factor, and pseudo activation energy related to each component. The component mass fraction y_i and the mass yield were predicted using this model within a temperature range. Available experimental pyrolysis data for beechwood and rice husk biomass were used to confirm the developed model. The volatile products were separated into bio-pyrolysis gas (BPG) and a bio-pyrolysis oil (BPO). Five components in the BPG and forty in the BPO were quantified. The pseudo activation energy for each pseudo chemical reaction for a specific component was modeled as a polynomial function of temperature. The component mass fraction and yield are quantifiable using this developed mathematical model equation within a temperature range. The predicted component mass fractions and yields agreed excellently with the available experimental data.

Downloads

Download data is not yet available.

References

Sharma, A., Pareek, V. & Zhang, D., Biomass Pyrolysis ? A Review of Modelling, Process Parameters and Catalytic Studies, Renewable and Sustainable Energy Reviews, 50, pp. 1081-1096, 2015.

Bindar, Y., New Correlations for Coal and Biomass Pyrolysis Performances with Coal-Biomass Type Number and Temperature, Journal of Engineering and Technological Sciences, 45, pp. 275-293, 2013.

Garcia-Perez, M., Chaala, A., Pakdel, H., Kretschmer, D. & Roy, C., Characterization of Bio-oils in Chemical Families, Biomass and Bioenergy, 31, pp. 222-242, 2007.

Safdari, M.S., Rahmati, M., Amini, E., Howarth, J.E., Berryhill, J.P. & Dietenberger, M., Characterization of Pyrolysis Products from Fast Pyrolysis of Live and Dead Vegetation Native to the Southern United States, Fuel, 229, pp. 151- 166, 2018.

Serio, M.A., Hamblen, D.G., Markham, J.R. & Solomon, P.R., Kinetics of Volatile Product Evolution in Coal Pyrolysis: Experiment and Theory, Energy & Fuels, 1, pp. 138-152, 1987.

Babu, B.V., Biomass Pyrolysis: A State of the Art Review, Biofuel, Bioproducts and Biorefining, 2, pp. 393-414, 2008.

Runstraat, A.v.d., Grondelle, J.v. & Santen, R.A.v., On the Temperature Dependence of the Arrhenius Activation Energy for Hydroisomerization Catalyzed by Pt/Mordenite, Journal of Catalysis, 167, pp. 460-463, 1997.

Thurner, F. & Mann, U., Kinetic investigation of Wood Pyrolysis. Industrial & Engineering Chemistry Process Design and Development, 1981, 20, pp. 482-488, 1981

Mill, C.J. Pyrolysis of Fine Coal Particles at High Heating Rate and Pressure. Australia, University of New South Wales, 2000.

Branca, C., Giudicianni, P. & Blasi, C.D. GC/MS Characterization of Liquids Generated from Low-Temperature Pyrolysis of Wood. Industrial & Engineering Chemistry Research, 42, pp. 3190-3202, 2003.

Perlmutter-Hayman, B., Progress in Inorganic Chemistry, in Berta Perlmutter-Hayman, Lippard, S.J. Ed., John Wiley & Sons, Inc, m20, pp. 229, 1976.

Carvalho-Silva, V.H., Coutinho, N.D. & Aquilanti, V., Temperature Dependence of Rate Processes beyond Arrhenius and Eyring: Activation and Transitivity. Frontiers in Chemistry, 7, pp. 1-11, 2019.

Al-Ayed, O.S., Variable Reaction Order for Kinetic Modeling of Oil Shale Pyrolysis. Oil Shale., 28, pp. 296-308, 2011.

Serbanescu, C., Kinetic Analysis of Cellulose Pyrolysis: A Short Review, Chemical Papers., 68, pp. 847-860, 2014.

Jong, W.d., Pirone, A. & Wojtowicz, M.A., Pyrolysis of Miscanthus Giganteus and Wood Pellets: TG-FTIR Analysis and Reaction Kinetics, Fuel., 82, pp. 1139-1147, 2003.

Nunn, T.R., Howard, J.B., Longwell, J.P. & Peters, W.A., Product Compositions and Kinetics in the Rapid Pyrolysis of Sweet Gum Hardwood, Industrial & Engineering Chemistry Process Design and Development, 24, pp. 836-844, 1985.

Blasi, C.D., Signorelli, G., Russo, C.D. & Rea, G., Product Distribution from Pyrolysis of Wood and Agricultural Residues, Industrial & Engineering Chemistry Research, 38, pp. 2216-2224, 1999.

Dikko, A.B. & Ahmed, A.D., Investigations on the Effect of Temperature Change On Activation Energy and Infinite Viscosity of Some Liquids, International Journal of Science and Research, 3, pp. 828 - 831, 2014.

Vyazovkin, S., On the Phenomenon of Variable Activation Energy for Condensed Phase Reactions, New Journal of Chemistry, 24(11), pp. 913 - 917, 2000.

Zaman, M.H., Sosnick, T.R. & Berry, R.S., Temperature Dependence of Reactions with Multiple Pathways, Physical Chemistry Chemical Physics, 5, pp. 2589-2594, 2003.

Ward, S.M. & Braslaw, J., Experimental Weight Loss Kinetics of Wood Pyrolysis Under Vacuum, Combustion and Flame, 61, pp. 261-269, 1985.

Yoshioka, T., Saitoh, N. & Okuwakiy, A., Temperature Dependence on the Activation Energy of Dechlorination in Thermal Degradation of Polyvinylchloride, Chemistry Letters, 2005, 34, pp. 70-71, 2005.

Blais, N.C., Truhlar, D.G. & Garrett, B.C., Dynamical Calculation of the Temperature Dependence of the Activation Energy for a Chemical Reaction from 444 to 2400 K, Journal of Physical Chemistry, 85, pp. 1094-1096, 1981.

Branca, C., Albano, A. & Blasi, C.D., Critical Evaluation of Global Mechanisms of Wood Devolatilization, Thermochimica Acta., 429, pp. 133-141, 2005.

Aboyade, A.O., Hugo, T.J., Carrier, M., Meyer, E.L., Stahl, R. & Knoetze, J.H., Non-Isothermal Kinetic Analysis of the Devolatilization of Corn Cobs and Sugar Cane Bagasse in an Inert Atmosphere, Thermochimica Acta, 517, pp. 81-89, 2011.

Carrier, M., Auret, L., Bridgwater, A. & Knoetze, J.H., Using Apparent Activation Energy as a Reactivity Criterion for Biomass Pyrolysis, Energy & Fuels., 30, pp. 7834-7841, 2016.

Sonobe, T. & Worasuwannarak, N. Kinetic Analyses of Biomass Pyrolysis Using the Distributed Activation Energy Model, Fuel, 87, pp. 414-421, 2008.

Scott, D.S., Piskorz, J. & Radlein, D., Liquid Products from the Continuous Flash Pyrolysis of Biomass, Industrial & Engineering Chemistry Process Design and Development, 24, pp. 581-588, 1985.