References
[1]. Ritchie, H., Roser, M., Rosado, P. (n.d.) Energy mix. Our World in Data. https://ourworldindata.org/energy-mix
[2]. U.S. Energy Information Administration (EIA). (2023) Biomass explained. https://www.eia.gov/energyexplained/biomass/
[3]. Preciado, J., Ortiz-Martinez, J., Gonzalez-Rivera, J., Sierra-Ramirez, R., Gordillo, G. (2012) Simulation of Synthesis Gas Production from Steam Oxygen Gasification of Colombian Coal Using Aspen Plus®. Energies, 5(12): 4924–4940.
[4]. Feng, Y., Xiao, B., Goerner, K., Cheng, G., Wang, J. (2011) Influence of Catalyst and Temperature on Gasification Performance by Externally Heated Gasifier. Smart Grid and Renewable Energy, 02(03): 177–183.
[5]. International Rice Research Institute. (2018) Rice Straw Management. https://www.irri.org/rice-straw-management
[6]. Baruah, D., Baruah, D. (2014) Modeling of biomass gasification: A review. Renewable and Sustainable Energy Reviews, 39: 806–815.
[7]. Chaurasia, A. (2018) Modeling of downdraft gasification process: Studies on particle geometries in the thermally thick regime. Energy, 142: 991–1009.
[8]. Gambarotta, A., Morini, M., Zubani, A. (2018) A non-stoichiometric equilibrium model for the simulation of the biomass gasification process. Applied Energy, 227: 119–127.
[9]. Di Blasi, C., Branca, C. (2013) Modeling a stratified downdraft wood gasifier with primary and secondary air entry. Fuel, 104: 847–860.
[10]. Fermoso, J., Arias, B., Pevida, C., Plaza, M. G., Rubiera, F., Pis, J. J. (2008) Kinetic models comparison for steam gasification of different nature fuel chars. Journal of Thermal Analysis and Calorimetry, 91(3): 779–786.
[11]. Sheth, P. N., Babu, B. (2009) Experimental studies on producer gas generation from wood waste in a downdraft biomass gasifier. Bioresource Technology, 100(12): 3127–3133.
[12]. Sikarwar, V. S., Zhao, M., Clough, P., Yao, J., Zhong, X., Memon, M. Z., Shah, N., Anthony, E. J., Fennell, P. S. (2016). An overview of advances in biomass gasification. Energy & Environmental Science, 9(10): 2939–2977.
[13]. Janajreh, I., Al Shrah, M. (2013) Numerical and experimental investigation of downdraft gasification of wood chips. Energy Conversion and Management, 65: 783–792.
[14]. Kumar, S., Sarma, A. (2013) Recent Advances in Bioenergy Research. Vol. I. SSS-NIRE Publishing, Kapurthala
[15]. Costa, M., Rocco, V., Caputo, C., Cirillo, D., Di Blasio, G., La Villetta, M., Martoriello, G., Tuccillo, R. (2019) Model based optimization of the control strategy of a gasifier coupled with a spark ignition engine in a biomass powered cogeneration system. Applied Thermal Engineering, 160: 114083.
[16]. Ren, S., Wu, S., Weng, Q. (2023) Physics-informed machine learning methods for biomass gasification modeling by considering monotonic relationships. Bioresource Technology, 369: 128472.
[17]. Kim, J. Y., Kim, D., Li, Z. J., Dariva, C., Cao, Y., Ellis, N. (2022). Predicting and Optimizing Syngas Production from Fluidized Bed Biomass Gasifiers: A Machine Learning Approach. SSRN Electronic Journal.
[18]. Yang, Q., Zhang, J., Zhou, J., Zhao, L., Zhang, D. (2023) A hybrid data-driven machine learning framework for predicting the performance of coal and biomass gasification processes. Fuel, 346: 128338.
[19]. George, J., Arun, P., Muraleedharan, C., 2018. Assessment of producer gas composition in air gasification of biomass using artificial neural network model. Int. J. Hydrog. Energy, 43(20): 9558–9568.
[20]. Baruah, D., Baruah, D.C., Hazarika, M.K., 2017. Artificial neural network based modeling of biomass gasification in fixed bed downdraft gasifiers. Biomass Bioenergy, 98: 264–271.
[21]. Puig-Arnavat, M., Hernández, J.A., Bruno, J.C., Coronas, A., 2013. Artificial neural network models for biomass gasification in fluidized bed gasifiers. Biomass Bioenergy, 49: 279–289.
[22]. Kardani, N., Zhou, A., Nazem, M., Lin, X. (2021, April) Modelling of municipal solid waste gasification using an optimised ensemble soft computing model. Fuel, 289: 119903.
[23]. FAOSTAT. (n.d.). Emissions from Burning of crop residues. https://www.fao.org/faostat/en/#data/GB
[24]. Schamm, K., Ziese, M., Becker, A., Finger, P., Meyer-Christoffer, A., Schneider, U., Schröder, M., Stender, P. (2014). Global gridded precipitation over land: a description of the new GPCC First Guess Daily product. Earth System Science Data, 6(1): 49–60.
Cite this article
Zhang,Y.;Wang,J.;Lai,S.;Wu,Z. (2024). Prediction of syngas yield from biomass by gasification and related application. Applied and Computational Engineering,44,138-149.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Ritchie, H., Roser, M., Rosado, P. (n.d.) Energy mix. Our World in Data. https://ourworldindata.org/energy-mix
[2]. U.S. Energy Information Administration (EIA). (2023) Biomass explained. https://www.eia.gov/energyexplained/biomass/
[3]. Preciado, J., Ortiz-Martinez, J., Gonzalez-Rivera, J., Sierra-Ramirez, R., Gordillo, G. (2012) Simulation of Synthesis Gas Production from Steam Oxygen Gasification of Colombian Coal Using Aspen Plus®. Energies, 5(12): 4924–4940.
[4]. Feng, Y., Xiao, B., Goerner, K., Cheng, G., Wang, J. (2011) Influence of Catalyst and Temperature on Gasification Performance by Externally Heated Gasifier. Smart Grid and Renewable Energy, 02(03): 177–183.
[5]. International Rice Research Institute. (2018) Rice Straw Management. https://www.irri.org/rice-straw-management
[6]. Baruah, D., Baruah, D. (2014) Modeling of biomass gasification: A review. Renewable and Sustainable Energy Reviews, 39: 806–815.
[7]. Chaurasia, A. (2018) Modeling of downdraft gasification process: Studies on particle geometries in the thermally thick regime. Energy, 142: 991–1009.
[8]. Gambarotta, A., Morini, M., Zubani, A. (2018) A non-stoichiometric equilibrium model for the simulation of the biomass gasification process. Applied Energy, 227: 119–127.
[9]. Di Blasi, C., Branca, C. (2013) Modeling a stratified downdraft wood gasifier with primary and secondary air entry. Fuel, 104: 847–860.
[10]. Fermoso, J., Arias, B., Pevida, C., Plaza, M. G., Rubiera, F., Pis, J. J. (2008) Kinetic models comparison for steam gasification of different nature fuel chars. Journal of Thermal Analysis and Calorimetry, 91(3): 779–786.
[11]. Sheth, P. N., Babu, B. (2009) Experimental studies on producer gas generation from wood waste in a downdraft biomass gasifier. Bioresource Technology, 100(12): 3127–3133.
[12]. Sikarwar, V. S., Zhao, M., Clough, P., Yao, J., Zhong, X., Memon, M. Z., Shah, N., Anthony, E. J., Fennell, P. S. (2016). An overview of advances in biomass gasification. Energy & Environmental Science, 9(10): 2939–2977.
[13]. Janajreh, I., Al Shrah, M. (2013) Numerical and experimental investigation of downdraft gasification of wood chips. Energy Conversion and Management, 65: 783–792.
[14]. Kumar, S., Sarma, A. (2013) Recent Advances in Bioenergy Research. Vol. I. SSS-NIRE Publishing, Kapurthala
[15]. Costa, M., Rocco, V., Caputo, C., Cirillo, D., Di Blasio, G., La Villetta, M., Martoriello, G., Tuccillo, R. (2019) Model based optimization of the control strategy of a gasifier coupled with a spark ignition engine in a biomass powered cogeneration system. Applied Thermal Engineering, 160: 114083.
[16]. Ren, S., Wu, S., Weng, Q. (2023) Physics-informed machine learning methods for biomass gasification modeling by considering monotonic relationships. Bioresource Technology, 369: 128472.
[17]. Kim, J. Y., Kim, D., Li, Z. J., Dariva, C., Cao, Y., Ellis, N. (2022). Predicting and Optimizing Syngas Production from Fluidized Bed Biomass Gasifiers: A Machine Learning Approach. SSRN Electronic Journal.
[18]. Yang, Q., Zhang, J., Zhou, J., Zhao, L., Zhang, D. (2023) A hybrid data-driven machine learning framework for predicting the performance of coal and biomass gasification processes. Fuel, 346: 128338.
[19]. George, J., Arun, P., Muraleedharan, C., 2018. Assessment of producer gas composition in air gasification of biomass using artificial neural network model. Int. J. Hydrog. Energy, 43(20): 9558–9568.
[20]. Baruah, D., Baruah, D.C., Hazarika, M.K., 2017. Artificial neural network based modeling of biomass gasification in fixed bed downdraft gasifiers. Biomass Bioenergy, 98: 264–271.
[21]. Puig-Arnavat, M., Hernández, J.A., Bruno, J.C., Coronas, A., 2013. Artificial neural network models for biomass gasification in fluidized bed gasifiers. Biomass Bioenergy, 49: 279–289.
[22]. Kardani, N., Zhou, A., Nazem, M., Lin, X. (2021, April) Modelling of municipal solid waste gasification using an optimised ensemble soft computing model. Fuel, 289: 119903.
[23]. FAOSTAT. (n.d.). Emissions from Burning of crop residues. https://www.fao.org/faostat/en/#data/GB
[24]. Schamm, K., Ziese, M., Becker, A., Finger, P., Meyer-Christoffer, A., Schneider, U., Schröder, M., Stender, P. (2014). Global gridded precipitation over land: a description of the new GPCC First Guess Daily product. Earth System Science Data, 6(1): 49–60.