An Experimental Investigation of Clean Syngas Production from Waste Biomass by Gasification Method
DOI:
https://doi.org/10.22399/ijcesen.361Abstract
Gasification technology is crucial for the efficient utilization of biomass and coal at high efficiency. Improved processes and systems are necessary to produce synthesis gas from biomass and coal (especially low calorific coals), making the process more advanced and effective. This study focuses on the direct use of waste biomass and low-calorific coals for heating and cooking to obtain synthesis gas with high calorific value. Biomass is examined for direct gasification and conversion into pellet fuel for gasification, and its use in heating and cooking systems are explored. Gas quality is enhanced in gasification stages like drying, pyrolysis, oxidation, and reduction by maintaining the reactor filled with gas and providing synthesis gas supplementation from the pyrolysis zone. Gas cleaning and conditioning processes, treated as separate operations, are carried out within the designed pilot system in a single device, generating ready-to-use gas at the outlet. A valve system that provides downflow for biomass and upflow for coal is developed to enable both to be processed in the same device. Consequently, a system was created that offers more comfortable use and high efficiency in gas production compared to direct combustion, especially in rural areas, where heating and cooking are provided through a single device.
References
Reed, T.B. and A. Das, (1988). Handbook of Biomass Downdraft Gasifier Engine Systems, Golden, Colorado: Solar Energy Research Institute.
Sheth, P.N. and B.V. Babu, (2009). Experimental studies on producer gas generation from wood waste in a downdraft biomass gasifier. Bioresour Technol, 100(12): p. 3127-33.
Çetin KOÇAK, N.T., Selçuk Yılmaz, (2010) Afşin- Elbistan kömür havzasinin elektrġk üretġmġ bakimindan değerini biliyor muyuz? Elektrik Mühendisleri Odası, 1-11.
Sharma, A., (2009). Experimental study on 75 KWth downdraft (biomass) gasifier system. Renewable Energy, 34(7): p. 1726-1733.
Basu, P., Combustion and gasification in fluidized beds. CRC press, 2006.
Deng, N., et al., (2017). Simulation analysis and ternary diagram of municipal solid waste pyrolysis and gasification based on the equilibrium model. Bioresour Technol, 235: 371-379.
Patra, T.K. and P.N. Sheth, (2015). Biomass gasification models for downdraft gasifier: A state-of-the-art review. Renewable and Sustainable Energy Reviews, 50:583-593.
Safarian, S., R. Unnþórsson, and C. Richter, (2019). A review of biomass gasification modelling. Renewable and Sustainable Energy Reviews, 110:378-391.
Dudyński, M., et al., (2015). Biomass gasification: Influence of torrefaction on syngas production and tar formation. Fuel Processing Technology,131: 203-212.
Wang, R., et al., (2022). Comprehensive study on the reduction of biomass embedded self-reducing pellets (SRP) under H2 involved conditions by TG-DTA. Powder Technology, 407.
Blázquez, G., et al., (2012). Copper biosorption by pine cone shell and thermal decomposition study of the exhausted biosorbent. Journal of Industrial and Engineering Chemistry, 18(5): 1741-1750.
Sidek, F.N., N.A.F. Abdul Samad, and S. Saleh, Review on effects of gasifying agents, temperature and equivalence ratio in biomass gasification process. IOP Conference Series: Materials Science and Engineering, 2020. 863(1).
Couto, N., et al., (2013) Influence of the Biomass Gasification Processes on the Final Composition of Syngas. Energy Procedia, 36:596-606.
Nourredine Abdoulmoumine, A.K., Sushil Adhikari, (2014). Effects of Temperature and Equivalence Ratio on Pine Syngas Primary Gases and Contaminants in a Bench-Scale Fluidized Bed Gasifier. Industrial & Engineering Chemistry Research, 53(14): p. 5767–5777.
Dogru, M., A. Midilli, and C.R. Howarth, (2002) Gasification of sewage sludge using a throated downdraft gasifier and uncertainty analysis. Fuel Processing Technology, 75(1):55-82.
Asadullah, M., (2014). Biomass gasification gas cleaning for downstream applications: A comparative critical review. Renewable and Sustainable Energy Reviews, 40:118-132.
Dogru, M., et al., (2002) Gasification of hazelnut shells in a downdraft gasifier. Energy, 27(5): p. 415-427.
Maria Puig Gamero, D.P., L.A.C. Tarelho, Paula sánchez, Luz Sánchez-Silva, (2008). Simulation of biomass gasification in fluidized bed reactor using ASPEN PLUS. Biomass and Bioenergy, 235(4):1245–1254.
Danışmaz, M., Gazlaştırma tekniği ile sentez gazı üretimi ve gaz yakma sistemlerinde kullanımı, in Fen Bilimleri Enstitüsü, Makine Mühendisliği Anabilim Dalı. 2017, Karadeniz Teknik Üniversitesi Trabzon.
Demirtaş, C. and M. Danışmaz, (2021). Experimental investigation of the relationship between the core temperature of hazelnuts and ambient conditions in the drying process. International Journal of Computational and Experimental Science and Engineering, 7-1: p. 29-34.
Anas Boussaa, S., et al., (2023). Hydrothermal Synthesis of Mordenite Type Zeolite. International Journal of Computational and Experimental Science and Engineering, 9(2).
Alalkawi, M. D. J., Shehabi , S. A., & Yildirim Imamoglu, M., (2023). PTGNG: An Evolutionary Approach for Parameter Optimization in the Growing Neural Gas Algorithm. International Journal of Computational and Experimental Science and Engineering, 9(2), 91–101.
Kartal İlyas, Kasap, K., & Demirer, H., (2023). Investigation of Mechanical Properties of Domestic Black Tea Waste Filled Vinylester Composites. International Journal of Computational and Experimental Science and Engineering, 9(4), 435–440.
Hasan, M. F., Danişmaz, M., & Waheed, F., (2022). Modern Nanotechnology Application for Generation HighlyEfficient Electricity in Save Mode and Much Less Polluting. International Journal of Computational and Experimental Science and Engineering, , 8(1), 1–4.
Shareef, A. K. S., (2022). Heterologous Expression and Molecular Cloning from Williamsia Marianensis. International Journal of Computational and Experimental Science and Engineering, 8(3); 69–73.
Sadigova, G., Zamanova, A., & Hasanov, A., (2024). Complex analysis of the geodynamic conditions of the Absheron-Balkhan oil and gas zone. International Journal of Computational and Experimental Science and Engineering, 10(1). https://doi.org/10.22399/ijcesen.7.
Çoşgun, A., (2024). Estimation Of Turkey’s Carbon Dioxide Emission with Machine Learning. International Journal of Computational and Experimental Science and Engineering, 10(1). https://doi.org/10.22399/ijcesen.302.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 International Journal of Computational and Experimental Science and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
