Creating moisture prediction models for seasoned fuelwood

Jyrki Raitila, Veli-Pekka Heiskanen, Marja Kolström, Johanna Routa

Research output: Contribution to conferenceConference PosterScientific

Abstract

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 multivarite 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.
Original languageEnglish
DOIs
Publication statusPublished - 2015
EventInternational Bioenergy (Shanghai) Exhibition and Asian Bioenergy Conference, IBSCE 2015 - Shanghai, China
Duration: 21 Oct 201523 Oct 2015

Conference

ConferenceInternational Bioenergy (Shanghai) Exhibition and Asian Bioenergy Conference, IBSCE 2015
Abbreviated titleIBSCE 2015
CountryChina
CityShanghai
Period21/10/1523/10/15

Keywords

  • moisture content
  • fuelwood
  • natural drying
  • drying model
  • predicting moisture

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    Raitila, J., Heiskanen, V-P., Kolström, M., & Routa, J. (2015). Creating moisture prediction models for seasoned fuelwood. Poster session presented at International Bioenergy (Shanghai) Exhibition and Asian Bioenergy Conference, IBSCE 2015, Shanghai, China. https://doi.org/10.5071/IBSCE2015-2AV.1.21