Weather based moisture content modelling of harvesting residues in the stand

Harvesting residues collected from the final cuttings of boreal forests are an important source of solid biofuel for energy production in Finland and Sweden. In the Finnish supply chain, the measurement of residues is performed by scales integrated in forwarders. The mass of residues is c...

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Main Authors: Lindblad, Jari, Routa, Johanna, Ruotsalainen, Johanna, Kolström, Marja, Isokangas, Ari, Sikanen, Lauri
Format: Article
Language:English
Published: Finnish Society of Forest Science 2018-01-01
Series:Silva Fennica
Online Access:https://www.silvafennica.fi/article/7830
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spelling doaj-899b7d68bc5949d39c4605a4813dd9ca2020-11-25T02:06:28ZengFinnish Society of Forest ScienceSilva Fennica2242-40752018-01-0152210.14214/sf.7830Weather based moisture content modelling of harvesting residues in the standLindblad, JariRouta, JohannaRuotsalainen, JohannaKolström, MarjaIsokangas, AriSikanen, Lauri Harvesting residues collected from the final cuttings of boreal forests are an important source of solid biofuel for energy production in Finland and Sweden. In the Finnish supply chain, the measurement of residues is performed by scales integrated in forwarders. The mass of residues is converted to volume by conversion factors. In this study, weather based models for defining the moisture content of residues were developed and validated. Models were also compared with the currently used fixed tables of conversion factors. The change of the moisture content of residues is complex, and an exact estimation was challenging. However, the model predicting moisture change for three hour periods was found to be the most accurate. The main improvement compared to fixed tables was the lack of a systematic error. It can be assumed that weather based models will give more reliable estimates for the moisture in varying climate conditions and the further development of models should be focused on obtaining more appropriate data from varying drying conditions in different geographical and microclimatological locations.https://www.silvafennica.fi/article/7830
collection DOAJ
language English
format Article
sources DOAJ
author Lindblad, Jari
Routa, Johanna
Ruotsalainen, Johanna
Kolström, Marja
Isokangas, Ari
Sikanen, Lauri
spellingShingle Lindblad, Jari
Routa, Johanna
Ruotsalainen, Johanna
Kolström, Marja
Isokangas, Ari
Sikanen, Lauri
Weather based moisture content modelling of harvesting residues in the stand
Silva Fennica
author_facet Lindblad, Jari
Routa, Johanna
Ruotsalainen, Johanna
Kolström, Marja
Isokangas, Ari
Sikanen, Lauri
author_sort Lindblad, Jari
title Weather based moisture content modelling of harvesting residues in the stand
title_short Weather based moisture content modelling of harvesting residues in the stand
title_full Weather based moisture content modelling of harvesting residues in the stand
title_fullStr Weather based moisture content modelling of harvesting residues in the stand
title_full_unstemmed Weather based moisture content modelling of harvesting residues in the stand
title_sort weather based moisture content modelling of harvesting residues in the stand
publisher Finnish Society of Forest Science
series Silva Fennica
issn 2242-4075
publishDate 2018-01-01
description Harvesting residues collected from the final cuttings of boreal forests are an important source of solid biofuel for energy production in Finland and Sweden. In the Finnish supply chain, the measurement of residues is performed by scales integrated in forwarders. The mass of residues is converted to volume by conversion factors. In this study, weather based models for defining the moisture content of residues were developed and validated. Models were also compared with the currently used fixed tables of conversion factors. The change of the moisture content of residues is complex, and an exact estimation was challenging. However, the model predicting moisture change for three hour periods was found to be the most accurate. The main improvement compared to fixed tables was the lack of a systematic error. It can be assumed that weather based models will give more reliable estimates for the moisture in varying climate conditions and the further development of models should be focused on obtaining more appropriate data from varying drying conditions in different geographical and microclimatological locations.
url https://www.silvafennica.fi/article/7830
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AT ruotsalainenjohanna weatherbasedmoisturecontentmodellingofharvestingresiduesinthestand
AT kolstrommarja weatherbasedmoisturecontentmodellingofharvestingresiduesinthestand
AT isokangasari weatherbasedmoisturecontentmodellingofharvestingresiduesinthestand
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