Productivity of a prototype truck-mounted logging residue bundler and a road-side bundling system
Open accessAbstract
When recovering logging residues (LR) for bioenergy its density should be increased before road transport, otherwise a low proportion of the trucksâ load capacity will be used. One way this can be currently done is to compress LR into bundles that are forwarded to roadside landing. A less well-developed alternative is to forward loose LR and bundle it at landing. In the presented study, a prototype specifically developed for road-side bundling was found to produce larger, heavier bundles than bundling machinery intended for in-field use (mean length, diameter and raw bulk density 4.7 m, 0.8 m and 285 kg m, respectively, with 299â445 kg oven dry matter per bundle). The machine was also at least 30% more productive than previously described in-field bundling systems, producing 14â19 bundles per productive work hour (PWh), equivalent to 5.2â7.8 oven-dry tonnes PWh. Bundles were estimated to use 67â86% of an LR truckâs 30 tonnes load capacity, similar to proportions used when transporting loose LR. However, a continuous feeding and compressing process would probably almost double productivity, while longer bundles would enable full use of truck load capacity. With such improvements bundling at road-side could provide a viable alternative to current LR-recovering systems.â3â1
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Corresponding costs of Can.$77/ODt for a slash system and Can.$84/ODt for a bundle system were estimated by Lindroos et al. (2010), which tally with the costs in the study presented here, despite excluding relocation costs.
“Corresponding costs of Can.$77/ODt for a slash system and Can.$84/ODt for a bundle system were estimated by Lindroos et al. (2010), which tally with the costs in the study presented here, despite excluding relocation costs.”
From Costs, CO2 Emissions, and Energy Balances of Applying Nordic Slash Recovery Methods in British Columbia (2011) · cites this paper as Lindroos et al. 2010
The Methods section (page unavailable) describes a cost comparison of loose logging residues and bundling systems, and section 3.4 discusses the estimated cost differences. The available Table 8 passage does not show the cost figures, so Can.$77/ODt and Can.$84/ODt cannot be verified; the paper also does not state that relocation costs were excluded. Whether those estimates tally with the citing authors’ study is their own comparison, not a finding attributed to Lindroos et al. (LLM, conf=0.77)
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Research works printed but not linked: 16
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Lindroos, O., Nilsson, B., & Sowlati, T. (2011) · Western Journal of Applied Forestry · doi:10.1093/wjaf/26.1.30 · Cited by 10 · see citing works
Self-citation
- Authors
- Lindroos, O., Matisons, M., Johansson, P., & Nordfjell, T.
- Affiliations
- Swedish University of Agricultural Sciences (SE)
- ORCID
- Lindroos, Ola
- Venue
- Silva Fennica
- Publisher
- Finnish Society of Forest Science
- Published
- 2010
- Volume
- 44
- Issue
- 3
- ISSN
- 0037-5330 (ISSN-L)
- 2242-4075
- OpenAlex
- W1785607325
- Cited by
- 10
- References
- 0
- Citations by year
- 2021: 1 · 2020: 1 · 2018: 1 · 2016: 1 · 2014: 2 · 2013: 2 · 2012: 1
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Silva Fennica (publishedVersion, cc-by-sa)
- Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences)) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Doria (University of Helsinki) (submittedVersion)
- Funders
- SNS Nordic Forest Research
- European Regional Development Fund
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Forest Biomass Utilization and Management
- Life Sciences › Agricultural and Biological Sciences › Forestry › Wood Residue Utilization and Solid Biofuels
- Physical Sciences › Engineering › Mechanical Engineering › Agricultural Engineering and Mechanization
- Keywords
- logging residues, biomass feedstock, bulk density, biomass recovery, machine productivity
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