Mathematical Modeling of Energetic Performance Parameters for Downdraft Gasifiers through Regression Techniques
DOI:
https://doi.org/10.46842/ipn.cien.v23n1a08Keywords:
operation of energetic installations, renewable energy, downdraft gasification installations, mathematical modelingAbstract
In the energy facilities, the operation has a considerable influence on efficiency, which is why this research presents results obtained by the authors in the modeling of performance indicators of the operation of biomass gasification facilities with the help of the non-linear regression techniques, from the systemic analysis, its identification and determination of the type of model with the best adjustment of the operation of these facilities. Several bibliographical studies are carried out on previous research, linked to the mathematical modeling of these facilities by the different techniques reflected in the specialized literature. A 3N experimental plan is made with three retorts, from which four non-linear regression models corresponding to respective performance indicators are elaborated using model linearization techniques, with satisfactory results from their evaluation based on the regression coefficients. And standard errors using three types of biomass. The experimental installation and the developed data acquisition system are described below.
References
T. K. Patra, P. N. Sheth, "Biomass gasification models for downdraft gasifier: A state-of-the-art review," Renewable and Sustainable Energy Reviews, vol. 50, 2015, pp. 583-593. [Fecha de consulta 18 de septiembre 2018]. Disponible en: https://www.sciencedirect.com/science/article/pii/S1364032115004700
S. Shabbar, I. Janajreh, "Thermodynamic equilibrium analysis of coal gasification using Gibbs energy minimization method," Energy Conversion and Management, vol. 65, 2013, pp.755-763. [Fecha de consulta 25 septiembre 2017]. Disponible en: https://www.sciencedirect.com/science/article/pii/S0196890412001501
M. Costa, M. La Villetta, N. Massarotti, "Optimal Tuning of a Thermo-Chemical Equilibrium Model for Downdraft Biomass Gasifiers," Chemical Engineering Transactions, vol. 43, 2015, pp. 434-444. [Fecha de consulta 1 noviembre 2017]. Disponible en: https://www.researchgate.net/publication/284888681_Optimal_tuning_of_a_thermo-chemical_equilibrium_model_for_downdraft_biomass_gasifiers
M. Asadullah, "Barriers of commercial power generation using biomass gasification gas: A review," Renewable and Sustainable Energy Reviews, vol. 29, 2014, pp. 201-215. [Fecha de consulta 6 noviembre 2017]. Disponible en: https://www.sciencedirect.com/science/article/pii/S136403211300614X
P. Raman, N. K. Ram , R. Gupta, "A dual fired downdraft gasifier system to produce cleaner gas for power generation: Design, development and performance analysis," Energy, vol. 54, núm. 1, 2013, pp. 302-314. [Fecha de consulta 13 noviembre 2017]. Disponible en: https://www.sciencedirect.com/science/article/pii/S0360544213002077
M. A. Ariffin, W. M. F. W. Mahmood, Z. Harun, R. Mohamed, "Medium-scale gasification of oil palm empty fruit bunch for power generation," Journal of Material Cycles and Waste Management, vol. 19, núm. 3, 2017, pp. 1244-1252. [Fecha de consulta 13 noviembre 2017]. Disponible en: https://link.springer.com/article/10.1007/s10163-016-0518-8
National Research Council. Making Aquatic Weeds Useful: Some Perspectives for Developing Countries. Washington, DC: The National Academies Press, 1976. Disponible en: https://doi.org/10.17226/19948
C. R. Curtis, J.A. Duke, An assessment of land biomass and energy potential for the Republic of Panama (vol. 3). Institute of Energy Conversion. Univ. Delaware, 1982.
I. Janajreh, M. Alshrah, "Numerical and experimental investigation of downdraft gasification of woodchips". Energy Conversion and Management, vol. 65, 2013, pp. 783-792. [Fecha de consulta 20 noviembre 2017]. Disponible en: https://www.sciencedirect.com/science/article/pii/S0196890412001471
M. P. Arnavat, J. A. Hernández, J. C. Bruno, A. Coronas, "Artificial neural network models for biomass gasification in fluidized bed gasifiers," Biomass and Bioenergy, vol. 49, 2013, pp. 279-289. [Fecha de consulta 27 noviembre 2017]. Disponible en: https://www.sciencedirect.com/science/article/pii/S0961953412005107
C. C. Sreejith, C. Muraleedharan, P. Arun, "Performance prediction of fluidised bed gasification of biomass using experimental data-based simulation models," Biomass Conversion and Biorefinery, vol. 3, núm. 4, 2013, pp. 283-304. [Fecha de consulta 4 diciembre 2017]. Disponible en: https://link.springer.com/article/10.1007/s13399-013-0083-5
S. Shabbar, I. Janajreh, "Thermodynamic equilibrium analysis of coal gasification using Gibbs energy minimization method," Energy Convers Manage, vol. 65, 2013, pp.755-763. [Fecha de consulta 18 septiembre 2017]. Disponible en: https://www.researchgate.net/publication/257051646_Thermodynamic_equilibrium_analysis_of_coal_gasification_using_Gibbs_energy_minimization_method
S. S. Kumar, P. Sathyabalan, S. Ragunathan, "Simulation of Biomass Downdraft Gasifier based on Neural Networks, " Asian Research Consortium, vol. 6, núm. 6, 2016, pp. 1548-1560. [Fecha de consulta 11 diciembre 2017]. Disponible en: https://aijsh.com/shop/articlepdf/2016/06/1464756527122.pdf
J. F. Pérez, A. Melgar, A. Horrillo, "Thermodynamic methodology to support the selection of feedstocks for decentralised downdraft gasification power plants," International Journal of Sustainable Energy, vol. 36, núm. 10, 2017, pp. 302-310. [Fecha de consulta 18 diciembre 2017]. Disponible en: http://doi.org/10.1080/14786451.2016.1162792
K. Kirsanovs, D. Blumberga, I. Veidenbergs, C. Rochas, E. Vigants, G. Vigants, "Experimental investigation of downdraft gasifier at various conditions," Energy Procedia, vol. 128, 2017, pp. 332-338. [Fecha de consulta 8 enero 2018]. Disponible en: https://www.sciencedirect.com/science/article/pii/S1876610217338419
D. Baruah, D. C. Baruah, "Modeling of biomass gasification: A review," Renewable and Sustainable Energy Reviews, vol. 39, 2014, pp. 806-815.
V. Kirsanovs, A. Zandeckis, C. Rochas, "Biomass gasification thermodynamic model including tar and char," Institute of Energy Systems and Environment vol. 14, núm. 4, 2016, pp. 1321-1331. [Fecha de consulta 22 enero 2018]. Disponible en: http://agronomy.emu.ee/wp-content/uploads/2016/06/Vol14_nr4_Kirsanovs.pdf
J. Arzola, Análisis y Síntesis de Sistemas de ingeniería. Instituto Superior Politécnico “José Antonio Echeverría”, Cuba, 2013.
R. Pérez, "Estimación de la incertidumbre, la incertidumbre útil y la inquietud en poblaciones finitas. Una aplicación a las medidas de desigualdad", Sesión Científica de la Real Academia de las Ciencias Ex. Fls. y Nat., 1985, Madrid.
Downloads
Published
Issue
Section
License
Copyright (c) 2019 Instituto Politecnico Nacional
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.