DETERMINACIÓN DE CORRELACIONES EXPERIMENTALES PARA LA ESTIMACIÓN DE PROPIEDADES DE BIOCOMBUSTIBLES SÓLIDOS A PARTIR DE LOS ANÁLISIS INMEDIATO Y ELEMENTAL

Abstract

The use of vegetable biomass as fuel requires the determination of various physicochemical parameters that determine operating parameters. Among them, High Heating Value (HHV) which determines the operation temperature and elemental analysis, which establishes the combustion stoichiometry, are essential to know. This paper provides a equations that serve as a tool to estimate easily the elemental composition and HHV of residual biomasses from proximate analysis data, and the HHV from the elemental composition. The literature has been reviewed to identify the proposed correlations and four types of lignocellulosic biomass have been used, which can be valued energetically by combustion: Walnut Fern, olive and miscanthus. The equations are fixed by an Scilab algorithm, obtaining correlations for the estimation of HHV carbon, oxygen, hydrogen, nitrogen and sulfur values very precisely. This tool will be integrated into a rigorous model that allows the prediction of combustion behavior of different types of biomasses.