Moisture content evaluation of biomass using CFD approach

Abstract

In grass conservation systems, drying in the field is an essential process upon which the quality and quantity of the material to be conserved is dependent on. In this study a Computational Fluid Dynamics (CFD) model, previously validated, was used to assess qualitatively and quantitatively the field drying process of cut grass under different weather conditions and structural specifications of the grass. The use of the CFD model depicts the climate heterogeneity in the grass area with a special focus on moisture distribution, influence of the weather conditions, in order to create the possibility of applying the model as a decision support tool for an enhanced treatment of the grass after cutting.

Tools for Optimization of Biomass-to-Energy Conversion Processes

“…Biomass moisture also varies with the part of the plant used or the climatic season, as biomass tends to equalize its moisture content with that of the surrounding air. Bartzanas et al [21] used simulations involving computational fluid dynamics (CFD) to describe the biomass drying process given the climatic conditions as part of the boundary conditions necessary for drying calculations using weather data from Denmark. CFD can simulate accurately, helping to design and optimize virtually with less experimental runs, and can estimate the moisture content, among other parameters such as spatial and temporal fluid pressure, temperature, and velocity.…”

Design and 3-D simulation of a mixed mode solar barn drier for drying wastewater sewage sludge

“…As a re sult, the va por rep re sents a sca lar trans ported by the air-flow, but at the same time, the wa ter va por prop er ties in flu ence the air-flow gov ern ing equa tions. At the in let of the com pu ta tional ge om etry, a log a rith mic in let ve loc ity pro file (at mo spheric bound ary-layer model) was con sid ered [10,11]. The air ve loc ity (at a ref er ence height) and the air tem per a ture and humid ity are given as known val ues us ing the val ues of the me te o ro log i cal mast, as shown in tab.…”