Creating Moisture Prediction Models for Seasoned Fuelwood

Jyrki Raitila, Marja Kolström, Johanna Routa

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional


    Moisture of fuelwood affects both, profitability of supplying wood chips and the economy of running an energy plant. Most fuel wood is seasoned outdoors, therefore drying depends on the weather. Moisture changes of stored wood in different drying environments can be estimated with multivariate models. The objective of this study was to develop and validate model prototypes for estimating optimal storage times for stacked fuelwood. In addition to taking moisture samples manually, load cell based automated data recording for moisture content alteration was used successfully. The main factors considered in this study for predicting moisture changes of fuelwood were the fuelwood type, precipitation and evaporation; actual or cumulative. In practice, multivariate drying models can help optimize deliveries of fuelwood and therefore increase the efficiency of the whole bioenergy supply chain, particularly if moisture content estimation is integrated into Enterprise Resource Planning (ERP).
    Original languageEnglish
    Title of host publicationEuropean Biomass Conference and Exhibition Proceedings
    PublisherETA-Florence Renewable Energies
    ISBN (Print)978-88-89407-165
    Publication statusPublished - 2016
    MoE publication typeD3 Professional conference proceedings
    Event24th European Biomass Conference and Exhibition, EUBCE 2016 - Amsterdam, Netherlands
    Duration: 6 Jun 20169 Jun 2016


    Conference24th European Biomass Conference and Exhibition, EUBCE 2016
    Abbreviated titleEUBCE 2016


    • moisture content
    • fuelwood
    • natural drying
    • drying models
    • predicting moisture


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