Comparative Study of Mathematical Models to Predict the Calorific Value of Mexican Agricultural Wastes

Rodríguez-Romero, Luis Antonio; Gutiérrez-Antonio, Claudia; García-Trejo, Juan Fernando; Feregrino-Pérez, Ana Angélica

Comparative Study of Mathematical Models to Predict the Calorific Value of Mexican Agricultural Wastes

dc.creator	Rodríguez-Romero, Luis Antonio
dc.creator	Gutiérrez-Antonio, Claudia
dc.creator	García-Trejo, Juan Fernando
dc.creator	Feregrino-Pérez, Ana Angélica
dc.date	2022-02-28
dc.date.accessioned	2025-10-01T23:52:45Z
dc.description	Agricultural residues represent a pollution problem because they are inadequately disposed of and high volumes of these wastes are generated. Therefore, revaluating them to produce biofuels is attractive, but, for that purpose, their calorific value should be established. Some mathematical models reported in the literature to predict calorific value have considered elemental, structural, and proximal analyses, the latter being the least expensive type. This article compares different mathematical models that have been used to predict calorific value based on elemental analysis in order to 1) evaluate agricultural residues from Mexico (bean straw, wheat straw, rice husks, and coffee husks) and other residues reported in the literature (coconut fibers and husks, garden waste, canola hulls, Jatropha curcas husks, and wheat straw) and 2) determine if the existing models work adequately for Mexican biomasses. Thus, Mexican biomasses were characterized using proximal analyses, and the calorific value of all the biomasses was estimated employing previously reported linear mathematical models. The results, which were compared with experimental values, show that the coefficients of determination of the existing mathematical models are low, particularly when Mexican biomass data are used. The best model to predict the calorific value of Mexican agricultural residues (R2 = 0.72) considers only the content of volatile matter and fixed carbon, in addition to a weak functionality of the ash content. Consequently, mathematical models should be proposed specifically for Mexican biomass.	en-US
dc.description	Los residuos agrícolas representan un problema de contaminación, dada su inadecuada disposición y elevados volúmenes generados. Por ello, su revalorización para producir biocombustibles es atractiva, para lo cual se requiere conocer su poder calorífico. Se han reportado modelos matemáticos para predecir el poder calorífico considerando análisis elementales, estructurales y proximales, siendo éstos últimos los de menor costo. Por ello, el presente trabajo realizó un estudio comparativo de los modelos matemáticos que predicen el poder calorífico con base en análisis elementales; dicho estudio considera: 1) residuos agrícolas procedentes de México (paja de frijol, paja de trigo, cascarilla de arroz, cascabillo de café), y 2) residuos reportados en la literatura (fibras y cáscaras de coco, residuos de jardín, cáscaras de canola, cáscaras de Jatropha curcas, paja de trigo), con el objetivo de determinar si los modelos existentes funcionan adecuadamente para las biomasas mexicanas. Para ello, las biomasas mexicanas son caracterizadas mediante análisis proximales; por otra parte, se estima el poder calorífico de todas las biomasas con modelos matemáticos lineales previamente reportados, y los resultados se comparan con los valores experimentales. Los resultados muestran que los coeficientes de determinación de los modelos matemáticos existentes son bajos, en particular al emplear datos de biomasas mexicanas. El mejor modelo para predecir el poder calorífico en residuos agrícolas mexicanos (R2 = 0.72) considera solamente el contenido de materia volátil y de carbono fijo, así como una débil funcionalidad del contenido de cenizas. Por ello, es necesario proponer modelos matemáticos específicamente para las biomasas mexicanas.	es-ES
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dc.identifier	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2142
dc.identifier	10.22430/22565337.2142
dc.identifier.uri	https://hdl.handle.net/20.500.12622/7805
dc.language	spa
dc.publisher	Instituto Tecnológico Metropolitano (ITM)	es-ES
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2142/2319
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2142/2320
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2142/2321
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/2142/2322
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dc.rights	Derechos de autor 2022 TecnoLógicas	es-ES
dc.source	TecnoLógicas; Vol. 25 No. 53 (2022); e2142	en-US
dc.source	TecnoLógicas; Vol. 25 Núm. 53 (2022); e2142	es-ES
dc.source	2256-5337
dc.source	0123-7799
dc.subject	Renewable energy sources	en-US
dc.subject	biomass	en-US
dc.subject	calorific value	en-US
dc.subject	proximal analysis	en-US
dc.subject	predictive model	en-US
dc.subject	Fuentes de energía renovable	es-ES
dc.subject	biomasa	es-ES
dc.subject	poder calorífico	es-ES
dc.subject	análisis proximal	es-ES
dc.subject	modelo predictivo	es-ES
dc.title	Comparative Study of Mathematical Models to Predict the Calorific Value of Mexican Agricultural Wastes	en-US
dc.title	Estudio comparativo de modelos matemáticos para predecir el poder calorífico de residuos agrícolas mexicanos	es-ES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Research Papers	en-US
dc.type	Artículos de investigación	es-ES