Abstract

The importance of Piptocoma discolor is a predominantly fast-growing native species of secondary forest ideal for a sustainable forest due to its predominance in the Amazon of Ecuador and Latin America. Currently it is wood and its waste does not have an alternative to produce electricity. Scarce information on its biomass potential and energy value. The objective was to obtain fresh biomass and drying kinetics, we worked in the four cantons of the Pastaza province with 20 plots of 400 m2 and 600 m2 that had an average of 15 to 20 trees, whose chest height diameters ranged from 10 and 33 cm., Establishing the following values: a) Average number of trees per hectare (1274 NA2/ha); b) Biomass in 100 987 hectares with an average of 41 097 686.87 tons, which means that it contributes with 49.72 % of water and 50.28 % of solid matter; c) A kinetic model of R2 = 0.9855, the estimate of a = 1.1318, k = 0.0637765, n = 0.560617 and b = -0.193993, based on a standard error of 0.0301682 and residual autocorrection of 0.182239 on drying kinetics; and d) Total energy means more than 13.5 GW of thermal energy using 100 % biomass.

Abstract

Computational modeling and simulation represents a competitive and functional tool that effectively supports the study of thermochemical behavior in combustion optimization, guaranteeing reliable results through modeling, design and allowed the validation of excess thermodynamic properties applied for combustion. of the biomass of Piptocoma discolor (pigüe) from the Amazonian region of Ecuador and Latin America. The model parameters were physical, chemical and thermal through computational fluid dynamics in combustion optimization. And the mathematical model of combustion was obtained under the transport method of the species. In the simulation, the variables of primary air flow and moisture content were observed. The variable of the combustion parameters were N2, O2, CO, H, pressure, temperature, humidity, total energy and burning time of the biomass particles. The geometric configuration was developed according to the fundamental principles of CFD within Ansys Fluent to obtain the behavior of speed, turbulence, pressure, etc. of the composition of the optimal fuel 91.75% of a complete combustion and compared to other species that show 86% of the reactions of the combustion of the species.