Abstract
The objective of this study was to develop, compare and
validate model prototypes for estimating the optimal
storage time of fuelwood stacks stored outdoors based on
average moisture changes. Multivariate models for
estimating moisture changes in different drying
environments were created for this purpose. Experimental
data were gathered during 7 to 14 months for most common
wood fuel raw materials. In addition to taking moisture
samples manually, load cell-based automated data
recording for fuelwood moisture content change estimation
proved a feasible option to obtain data for fuelwood
drying models. The major factors considered in this study
for predicting woody biomass moisture content change were
precipitation, cumulative precipitation, evaporation,
cumulative reference evaporation and fuelwood type.
Multivariate drying models can help optimize deliveries
of fuelwood and therefore increase the efficiency of the
whole fuelwood supply chain.
| Original language | English |
|---|---|
| Pages (from-to) | 1896-1905 |
| Journal | Bioenergy Research |
| Volume | 8 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2015 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- Moisture content
- Fuelwood
- Natural drying
- Drying model
- Predicting moisture
