Comparison of moisture prediction models for stacked fuelwood

Jyrki Raitila (Corresponding Author), Veli-Pekka Heiskanen, Johanna Routa, Marja Kolström, Lauri Sikanen

    Research output: Contribution to journalArticleScientificpeer-review

    13 Citations (Scopus)


    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 languageEnglish
    Pages (from-to)1896-1905
    JournalBioenergy Research
    Issue number4
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed


    • Moisture content
    • Fuelwood
    • Natural drying
    • Drying model
    • Predicting moisture


    Dive into the research topics of 'Comparison of moisture prediction models for stacked fuelwood'. Together they form a unique fingerprint.

    Cite this