The Operational Efficiency of Waterway Transport of Forest Chips on Finland's Lake Saimaa

New and cost-efficient methods for use in supply chains for energy wood should be found, to reach the targets of the renewable energy utilisation set by the European Union. The longdistance waterway transportation of forest fuels should be thoroughly investigated, especially in areas where the transport distance is long and waterways could provide a feasible method of conveying forest fuel. In comparison to transport of forest chips by truck, barge-based waterway transport shows a competitive advantage due to the larger loads and higher bulk density of chips it allows. The cost-efficiency of waterway transportation operations related to forest chips in Finland’s Lake Saimaa region was studied using practical demonstrations and discrete-event simulation. The varying demand for fuel wood in three separate bio-power plants on the Saimaa lakeside (near the cities of Varkaus, Mikkeli, and Savonlinna) was addressed in several barge transportation scenarios. Finally, the economy of barge transportation was compared to the economy of truck transportation as a function of transportation distance and in terms of the annual performance of the transportation methods examined. The waterway supply chain of forest chips was cost-competitive to road transport by truck after 100–150 km. According to the simulation study, the most economical waterway transport options were based on fixed barge system and shift-independent harbor logistics where loading and unloading of barges were carried-out with a wheeled loader and a belt conveyor. Total supply chain costs including the best waterway logistics from road side storage to power plant ranged from €10.75 to €11.64/MWh in distances of 100–150 km by waterways. The energy-density of forest chips in the barge load was found to be, on average, 25% higher than that in truck hauling, because of the better compaction of chips. Waterway transport is a viable option for long-distance transportation of forest chips in Eastern Finland.

[1]  N. Nakicenovic,et al.  Climate change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[2]  Juha Laitila,et al.  Harvesting Technology and the Cost of Fuel Chips from Early Thinnings , 2008 .

[3]  Tapio Ranta,et al.  The profitability of transporting uncomminuted raw materials in Finland , 2006 .

[4]  J. Föhr,et al.  Biopolttoaineiden saatavuus ja hankintalogistiikka Kaakkois-Suomessa , 2011 .

[5]  Hamdy A. Taha,et al.  Operations Research: An Introduction (8th Edition) , 2006 .

[6]  K. Väätäinen,et al.  Kokopuun ja rangan autokuljetus ja haketustuottavuus , 2011 .

[7]  J. Laitila,et al.  The regional balance of wood fuel demand supply in Finland , 2005 .

[8]  A. Asikainen,et al.  Metsähakkeen hankinta- ja toimituslogistiikan haasteet ja kehittämistarpeet , 2011 .

[9]  Timo Tahvanainen,et al.  Supply chain cost analysis of long-distance transportation of energy wood in Finland , 2011 .

[10]  J. Föhr,et al.  Intermodal Transportation Concept for Forest Chips , 2011 .

[11]  Arne Thesen,et al.  Simulation for Decision Making , 1992 .

[12]  T. Ranta,et al.  Logging residues from regeneration fellings for biofuel production - a GIS-based availability and supply cost analysis , 2002 .

[13]  Staffan Berg,et al.  Energy requirement and environmental impact in timber transport , 2005 .

[14]  Antti Asikainen,et al.  Simulation of Logging and Barge Transport of Wood from Forests on Islands , 2001 .

[15]  R. Venterea.  Climate Change 2007: Mitigation of Climate Change , 2009 .

[16]  Hamdy A. Taha,et al.  Operations research: an introduction / Hamdy A. Taha , 1982 .

[17]  Hamdy A. Taha,et al.  Operations Research , 1971 .