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Quick-scan estimating model of Higher Heating Value of oil palm empty fruit bunches based on ash from proximate analysis data
Modelo de exploración para estimación rápida del Poder Calorífico Superior de racimos vacíos del fruto de palma de aceite basado en el contenido de Cenizas obtenido a partir de datos de análisis próximo
DOI:
https://doi.org/10.15446/ing.investig.v34n2.40504Keywords:
Oil Palm Empty Fruit Bunch (EFB), Higher Heating Value, Proximate analysis, Lignocellulosic Biomass, Biofuel energy (en)Oil Palm Empty Fruit Bunch (EFB), Higher Heating Value, Proximate analysis, Lignocellulosic Biomass, Biofuel energy (es)
A correlation model developed for the quick-scan estimation of the Higher Heating Value (HHV) based on the ash content from a proximate analysis of Oil Palm Empty Fruit Bunches (EFB) is presented in this paper. The correlation was developed using a best subsets regression method with data of biomass samples. EFB were taken directly from the end of the processing line (the process exit after the fruit removal section) in agro-industrial palm oil extraction facilities that are located on the Colombian coast. The correlation is also compared with other published correlations of lignocellulosic biomass. After conducting a statistical analysis from proximate analysis variables expressed in the dry basis for Fixed Carbon (FC), Ash content (Ash), and Volatile Matter (VM), colinearity was identified between Ash - VM - FC, VM - FC, in developed models that show unsatisfactory behavior when these variables are included, indicating that these models are inadequate. Finally, the correlation model for a quick-scan estimation on the dry basis was obtained based on the Ash content from a proximate analysis of EFB (HHV= 0.827Ash + C, with C between 9.97 and 12.4), with a mean absolute error (MEA) lower than 3% and a marginal mean bias error (MBE) of 0.19%, and R2 = 0.8, indicating that the model has an HHV with single input variable predictive capability. This model can be used as a support tool for quick-scan estimation when evaluating the available bioenergy in the processing of EFB using economical and efficient energetic indicators. The minimum and maximum values of HHV obtained for EFB were 13.6 and 21.91 MJ/kg, respectively.
Un modelo de correlación desarrollado para la estimación rápida del Poder Calorífico Superior (HHV) de racimos vacíos del fruto de palma de aceite (EFB) basado en el contenido de cenizas obtenido a partir de datos de análisis próximo es presentado en este artículo. La correlación se desarrolló a través del método de regresión de mejores subconjuntos mediante el uso de datos de muestras obtenidas directamente de la línea de procesamiento (la salida del proceso después de la sección de desfrutado) en instalaciones de empresas agroindustriales extractoras de aceite de palma ubicadas en la costa colombiana. La correlación obtenida se comparó con otros modelos publicados para estimar HHV para biomasa lignocelulósica. Luego de un análisis estadístico a las variables de análisis próximo expresadas en base seca Carbono Fijo (FC), Contenido de cenizas (Ash), Material Volátil (MV), se evidenció co-linearidad en los modelos desarrollados entre Ash - VM - FC, VM - FC, mostrando comportamientos insatisfactorios cuando se incluyen estas variables indicando modelos inadecuados. Finalmente el modelo de correlación para estimación rápida en base seca se obtuvo a partir del contenido de cenizas del EFB de datos de análisis próximo (HHV= 0.827Ash + C, con C entre 9.97 y 12.4) presentado un error absoluto medio (MEA) menor al 3%, error marginal medio (MBE) de 0.19% y un R2 = 0.8, indicando capacidad predictiva para el HHV con una variable de entrada, el cual puede ser utilizado como herramienta soporte para la estimación rápida del indicador energético en la evaluación de bioenergía disponible en procesos de tratamientos para el EFB de manera económica y eficiente. El HHV mínimo y máximo obtenido para EFB fue de 13.6 y 19.51 MJ/kg, respectivamente.
References
Abdul, A., Abdullah, N., & Sulaiman, F. (2014). Temperature effect on the characterization of pyrolysis products from oil palm fronds. Advances in Energy Engineering (AEE), 2, 1.
Abdullah, N., & Gerhauser, H. (2008). Bio-oil derived from empty fruit bunches. Fuel, 87, 2606-2613.
Abdullah, N., Gerhauser, H., & Sulaiman, F. (2010). Fast pyrolysis of empty fruit bunches. Fuel, 89, 2166-2169.
Abdullah, N., Sulaiman, F., & Gerhauser, H. (2011). Characterisation of oil palm empty bunches for fuel application. Journal of physical science, 22, 1-24.
Amin, N., Yaáini, N., Misson, M., Haron, R., Fadhzir, M., & Kamaroddin, A. (2011). Pre-treatment of empty fruit bunch for biofuel production. Journal of energy & Environmental, 1, 18-22.
Aslani, A., & Mohaghar, A. (2013). Business structure in renewable energy industry: Key areas. Renewable and Sustainable Energy Reviews, 27, 569-575.
Bayona, O., & Sánchez, M. (2006). Physical activation of oil palm empty fruit bunches (elais guineensis) from obtained activated carbon. Thesis for obtained degree of Chemistry. Science faculty. Industrial Santander University.
Burhennea, L., Messmera, J., Aichera, T., & Laborieb, M. (2013). The effect of the biomass components lignin, cellulose and hemicellulose on TGA and fixed bed pyrolysis. Journal of Analytical and Applied Pyrolysis, 101, 177-184.
Cala, G. (1995). Empty fruit bunches. Energy efficiency improved of extraction and production. Palmas, 16, 121.
Callejón-Ferre, A., Velázquez-Martí, B., López-Martínez, J., & Manzano-Agügliaro, F. (2011). Greenhouse crop residues: energy potential and models for the prediction of their higher heating value. Renew Sust. Energy Rev, 15, 948-55.
Chun-Yang, Y. (2011). Prediction of higher heating values of biomass from proximate and ultimate analyses. Fuel, 90, 1128-1132.
Demirbas, A. (2009). Prediction of higher heating values for vegetable oils and animal fats from proximate analysis data. Energy Source A, 31, 1264-1270.
Erol, M., Haykiri-Acma, H., & Küçükbayrak, S. (2010). Calorific value estimation of biomass from their proximate analyses data. Renewable Energy, 35, 170-173.
González, M., Tejado, A., Blanco, M., Mondragon, I., & Labidi, J. (2009). Agricultural palm oil tree residues as raw material for cellulose, lignin and hemicelluloses production by ethylene glycol pulping process. Chemical Engineering Journal, 148, 106-114.
International Energy Agency (2008). Energy Technology Perspectives 2008, in support G8 plan of action, Scenarios & Strategies to 2050. Paris, France.
Lahijani, P., & Alimuddin, Z. (2011). Gasification of palm empty fruit bunch in a bubbling fluidized bed: A performance and agglomeration study. Bioresource Technology, 102, 2068-2076.
Ministerio de Minas y Energía. MINIMINAS (2009). Atlas del Potencial Energético de la Biomasa Residual en Colombia.
Mohamad, M., Zakaria, N., & Sipaut, C. (2011). Chemical and thermical properties of lignins from oil palm biomass as a substitute for phenol in a phenol formaldehyde resin production. Carbohidrate Polymers, 86, 112-119.
Mohammed, A., Salmiaton, A., Wan, W., & Mohamad, M. (2012). Gasification of oil palm empty fruit bunches: A characterization and kinetic study. Bioresource Technology, 16, 628-636.
Nhuchhen, D., & Salam, P. (2012). Estimation of higher heating value of biomass from proximate analysis: A new approach. Fuel, 99, 55-63.
Ogi, T., Nakanishi, M., Fukuda, Y., & Matsumoto, K. (2013). Gasification of oil palm residues (empty fruit bunch) in an entrained-flow gasifier. Fuel, 104, 28-35.
Piarpuzán, D., Quintero, J., & Cardona, C. (2011). Empty fruit bunches from oil palm as a potential raw material for fuel ethanol production. Biomass and Bioenergy, 35, 1130-1137.
Ramírez, N., Silva, A., Garzón, E., & Yáñez, E. (2011). Technical bulletin N030. The benefit of the oil palm fruit product and characterization management. Bogotá: Reserch center oil palm.
Rozita, O., Idris, A., Yunus, R., Khalid, K., & Aida, M. (2011). Characterization of empty fruit bunch for microwave-assisted pyrolysis. Fuel, 90, 1536-1544.
Shuit, S., Tan, K., Lee, K., & Kamaruddin, A. (2009). Oil Palm Biomass as a Sustainable Energy Source: A Malaysian Case Study. Energy, 34, 225-1235.
Soplah, S., Hassan, M., Shirai, Y., Funaoka, M., Shinano, T., & Idris, A. (2009). Effect of Solvent Pretreatment on Lignophenol Production from Oil Palm Empty Fruit Bunch Fibres. J. Oil Palm Research, 21, 700-709.
Sukiran, M., Chin, C., & Bakar, N. (2009). Bio-oils from Pyrolysis of Oil Palm Empty Fruit Bunches. Am. J. Applied Sci., 6, 869-875.
Sulaiman, F., & Abdullah, N. (2011). Optimum conditions for maximizing pyrolysis liquids of oil palm empty fruit bunches. Energy, 36, 2352-2359.
Vargas-Moreno, J., Callejón-Ferre, A., Pérez-Alonso, J., & Velázquez-Martí, B. (2012). A review of the mathematical models for predicting the heating value of biomass materials. Renewable and Sustainable Energy Reviews, 16, 3065-3083.
Wu, C., Wang, Z., Huang, J., & Wiliams, P. (2013). Pyrolysis/gasification of cellulose, hemicellulose and lignin for hydrogen production in the presence of various nickel-based catalysts. Fuel, 106, 697-706.
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