Abstract
The natural changes in moisture content of energy wood stockpiles can now be forecasted by models, which are using weather statistics, material characteristics, time and location as an input. Models help energy wood supply companies to manage their material flow and improve the efficiency of their deliveries. Models are done for logging residues and for delimbed energy wood. Some companies have implemented models already and experiences are very positive.
| Original language | English |
|---|---|
| Title of host publication | Energy Biomass Supply Chain Concepts Including Terminals |
| Editors | Lauri Sikanen, Olli-Jussi Korpinen, Jouni Tomberg, Timo Saarentaus, Kaisu Leppänen, Miina Jahkonen |
| Publisher | Natural Resources Institute Finland |
| Chapter | 4.2 |
| Pages | 61-63 |
| ISBN (Print) | 978-952-7205-08-2 |
| Publication status | Published - 2016 |
| MoE publication type | D2 Article in professional manuals or guides or professional information systems or text book material |
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Cite this
Routa, J., Sikanen, L., Kolström, M., & Raitila, J. (2016). Moisture models. In L. Sikanen, O-J. Korpinen, J. Tomberg, T. Saarentaus, K. Leppänen, & M. Jahkonen (Eds.), Energy Biomass Supply Chain Concepts Including Terminals (pp. 61-63). Natural Resources Institute Finland. http://bestfinalreport.fi/files/Energy%20Biomass%20Supply%20Chain%20Concepts%20Including%20Terminals.pdf