Working paper
Automated weighing platform for estimation of drying rates of logs and woody biomass. Forest Industries Research Centre Bulletin 1, July 2018
University of the Sunshine Coast
2018
Abstract
Logs and forest biomass can contain over 50% water when green, most of which is removed prior to the final use. Reduction in moisture content through infield drying can reduce transport costs which can account for 30-50% of the delivered cost of logs and biomass. In the case of forest biomass used as biofuel, reduction in moisture content can also increase its calorific content and its value. Drying infield can also defer payment for logs and biomass and can impede site preparation and replanting. Forest managers and owners need information about drying rates to make informed decisions about how long to leave logs or biomass drying infield. However, collection of drying data is often expensive and only preformed for short periods on small quantities of material producing results that may be unrepresentative of real-world drying rates. This bulletin describes an automated weighing platform developed by the Australian Forest Operations Research Alliance (AFORA) that can be used to automatically determine accurate drying rates for large quantities of logs or biomass (up to 12 tonnes) for extended periods.
Details
- Title
- Automated weighing platform for estimation of drying rates of logs and woody biomass. Forest Industries Research Centre Bulletin 1, July 2018
- Authors
- Martin Strandgard (Author) - University of the Sunshine Coast - Faculty of Arts, Business and LawRichard Mitchell (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
- Publication details
- 2
- Publisher
- University of the Sunshine Coast
- Date published
- 2018
- Copyright note
- Copyright © 2018 Forest Industries Research Centre, University of the Sunshine Coast.
- Organisation Unit
- University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99451455002621
- Output Type
- Working paper
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