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An international review of the most productive and cost effective forest biomass recovery technologies and supply chains

This study provides a state-of-the art overview of forest biomass harvesting technologies and supply chains used in North America, Europe and the Southern Hemisphere. The productivity and cost of selected efficient technologies is presented for each country with a brief description about the source of the biomass and harvesting method. Expert opinions on the most successful biomass operations have been presented briefly for each country. The main conclusions from various intentional studies are provided in addition to future requirements for research and development. This report can be a useful high level guide of technology and supply chain selection for industry and academics.
- University of the Sunshine Coast Australia
- Auburn University United States
- Swedish University of Agricultural Sciences Sweden
- National Research Council Italy
- Oregon State University United States
FoR 09 (Engineering), productivity, Biomass harvesting, Cost, biomass harvesting, Extraction, Supply chain, felling, Chipping, cost, extraction, supply chain, chipping, Felling, Productivity
FoR 09 (Engineering), productivity, Biomass harvesting, Cost, biomass harvesting, Extraction, Supply chain, felling, Chipping, cost, extraction, supply chain, chipping, Felling, Productivity
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).54 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
