Resumen

GUTIERREZ GUALOTUNA, Eduardo Roberto; ALMEIDA MERA, Juan Carlos  y  ARZOLA RUIZ, José. Operational performance indicators of a downdraft gasifier through modeling by neural networks for biomass Eichhornia Crassipes. Energética [online]. 2019, vol.40, n.3, pp. 212-222.  Epub 18-Sep-2019. ISSN 1815-5901.

The research results are presented by the authors in the modeling of performance indicators of the operation of biomass gasification facilities through the use of artificial neural networks, starting from the classification of the information derived from the systemic analysis of the operation of these facilities. A bibliographical study of previous research, related to mathematical modeling of these facilities through the different techniques specified on the literature was developed. A 3N experimental plan with 3 replicas is made to generate four models according to their own performance indicators using neural networks, with satisfactory results of their evaluation and based on regression coefficients and standard errors using Eichhornia Crassipes as biomass. The experimental installation and the developed data acquisition systems are described.

Palabras clave : Biomass gasification; renewable energy sources; artificial neural networks; processes operation.

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