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Predicting and controlling moisture content to optimise forest biomass logistics

Citation

Acuna, M and Anttila, P and Sikanen, L and Prinz, R and Asikainen, A, Predicting and controlling moisture content to optimise forest biomass logistics, Croatian Journal of Forest Engineering, 33, (2) pp. 225-238. ISSN 1845-5719 (2012) [Refereed Article]


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Copyright Statement

Copyright 2012 Croatian Journal of Forest Engineering

Official URL: http://www.crojfe.com/articles-498

Abstract

Wood fuel quality attributes have to be considered by logistics planners if fuel procurement from forests and energy production at the plant are considered simultaneously. The single most important quality attribute is the moisture content (MC) of chips or raw material delivered to energy plants. It affects heating value, storage properties, chipping and transport costs of the fuel. To assess the impact of forest biomass moisture content on supply chain costs, we developed a linear programming-based tool for optimization decision support that minimizes supply chain costs including harvesting, storage, chipping, and transportation of fuels. A CHP plant in Finland was used as the study case and three biomass raw materials (supply chains) were used for the analysis: whole trees from early thinnings, stemwood from early thinnings, and logging residues from final fellings. Our results indicate that both the proportion and volume of the biomass material delivered to the plant are very sensitive to specifications on MC range limits and the length of the storage (drying) period. Compared to a scenario with no storage, a reduction in volume harvested of up to 33% can be achieved to meet the monthly energy demand if proper drying methods, such as covering of biomass material, are implemented before chipping and delivering the biomass materials to the energy plant.

Item Details

Item Type:Refereed Article
Keywords:moisture content, biomass supply chain, optimal storage and transportation, linear programming, biomass covering
Research Division:Agricultural and Veterinary Sciences
Research Group:Forestry Sciences
Research Field:Forestry Biomass and Bioproducts
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Built Environment and Design
Author:Acuna, M (Mr Mauricio Acuna)
ID Code:122001
Year Published:2012
Web of Science® Times Cited:24
Deposited By:Architecture (Discipline)
Deposited On:2017-10-25
Last Modified:2017-11-03
Downloads:4 View Download Statistics

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