Modelling natural drying of European beech (Fagus sylvatica L.) logs for energy based on meteorological data

Abstract

ABSTRACTA key factor for improving the whole fuel wood supply chain is moisture management. Moisture affects material quality, transport costs and revenue. The aim of this study was to develop a drying model for piled European beech (Fagus sylvatica L.) logs based on meteorological data, employing the continuous weighing approach. Two drying cycles with three piles altogether were conducted. In the first one (February to October 2013) the moisture content of the pile dropped from 43.5% to 22.5%, whereas in the second one (December 2013 to March 2015), the moisture content of the 2 piles dropped from 42.1% and 40.5% to 20.6% and 19.8%, respectively. Model performance (R2 adj = 0.41) was validated by applying the model developed from the second cycle's data on the first cycle's data. Model's mean deviation in moisture content from the observed curve was −0.41% ± 0.72%. Economic benefits and environmental impact were highlighted. Calorific value increased from 2.65 to 3.57 kWh kg–1 from February to October 2013. Truckload volume utilization increased by 25.1% and transported calorific value by 48.0%. The number of truck trips for transportation was reduced from nine to seven.