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

Fingerprint

fuelwood
prediction
stored wood
drying
wood drying
wood chips
bioenergy
supply chain
prototypes
profitability
evaporation
storage time
weather
water content
energy
cells

Keywords

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

Cite this

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
Raitila, Jyrki ; Heiskanen, Veli-Pekka ; Kolström, Marja ; Routa, Johanna. / Creating moisture prediction models for seasoned fuelwood. Poster session presented at International Bioenergy (Shanghai) Exhibition and Asian Bioenergy Conference, IBSCE 2015, Shanghai, China.
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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.",
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author = "Jyrki Raitila and Veli-Pekka Heiskanen and Marja Kolstr{\"o}m and Johanna Routa",
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Raitila, J, Heiskanen, V-P, Kolström, M & Routa, J 2015, 'Creating moisture prediction models for seasoned fuelwood' International Bioenergy (Shanghai) Exhibition and Asian Bioenergy Conference, IBSCE 2015, Shanghai, China, 21/10/15 - 23/10/15, . https://doi.org/10.5071/IBSCE2015-2AV.1.21

Creating moisture prediction models for seasoned fuelwood. / Raitila, Jyrki; Heiskanen, Veli-Pekka; Kolström, Marja; Routa, Johanna.

2015. Poster session presented at International Bioenergy (Shanghai) Exhibition and Asian Bioenergy Conference, IBSCE 2015, Shanghai, China.

Research output: Contribution to conferenceConference PosterScientific

TY - CONF

T1 - Creating moisture prediction models for seasoned fuelwood

AU - Raitila, Jyrki

AU - Heiskanen, Veli-Pekka

AU - Kolström, Marja

AU - Routa, Johanna

N1 - HUO: Poster presentation LIS: Abstract reviewed Project code: 104790

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - moisture content

KW - fuelwood

KW - natural drying

KW - drying model

KW - predicting moisture

U2 - 10.5071/IBSCE2015-2AV.1.21

DO - 10.5071/IBSCE2015-2AV.1.21

M3 - Conference Poster

ER -

Raitila J, Heiskanen V-P, Kolström M, Routa J. Creating moisture prediction models for seasoned fuelwood. 2015. 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