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Browsing by Subject "varastointikustannus"

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  • Kinnunen, Jyrki-Pekko (2016)
    This study is part of the joint research program of Sustainable Bioenergy Solutions for Tomorrow (BEST) by Natural Resource Institute Finland. This is the first study to examine and analyze the fast track supply chain for harvesting residues. The fast track supply chain is based on roadside chipping of logging residues, in which chips from final felling harvested during spring, summer and autumn are transported straight to the power plant with maximum of half month roadside storing. The aim of this study was to evaluate the cost effects of fast track supply chain. In addition, the factors affecting to the unit costs were investigated. Activity-based costing was used as a study method for analyzing the supply alternatives of logging residues. Data for this study was acquired from a large-scale industrial company purchasing forest biomass. Data consisted roadside storage locations and volumes (solid-m3) of logging residues from Norway spruce dominated final fellings. All activities were identified and costs were calculated in each supply method. Supply costs were presented in euros per megawatt hour were also compared to the total received energy. According to the results supply costs of fast track method was smaller than the costs of the conventional supply method. On average fast track supply costs were 7.1–13.3 % smaller than conventional supply method. Storing cost, including dry matter loss and capital cost, was the most significant factor for influencing differences in total supply cost. Cost of dry matter loss was 5.3–11.5 % higher in conventional supply method than in fast track supply method. In addition, capital costs were 0.4–1.9 % bigger in traditional procurement. Procurement costs of logging residue supply for energy-use can be decreased by using fast track supply chain. Although results proved that fast track supply chain decreases total procurement costs, one should remember that the volume of logging residues must be fitted to power plant’s energy demand.
  • Kinnunen, Jyrki-Pekko (2016)
    This study is part of the joint research program of Sustainable Bioenergy Solutions for Tomorrow (BEST) by Natural Resource Institute Finland. This is the first study to examine and analyze the fast track supply chain for harvesting residues. The fast track supply chain is based on roadside chipping of logging residues, in which chips from final felling harvested during spring, summer and autumn are transported straight to the power plant with maximum of half month roadside storing. The aim of this study was to evaluate the cost effects of fast track supply chain. In addition, the factors affecting to the unit costs were investigated. Activity-based costing was used as a study method for analyzing the supply alternatives of logging residues. Data for this study was acquired from a large-scale industrial company purchasing forest biomass. Data consisted roadside storage locations and volumes (solid-m3) of logging residues from Norway spruce dominated final fellings. All activities were identified and costs were calculated in each supply method. Supply costs were presented in euros per megawatt hour were also compared to the total received energy. According to the results supply costs of fast track method was smaller than the costs of the conventional supply method. On average fast track supply costs were 7.1–13.3 % smaller than conventional supply method. Storing cost, including dry matter loss and capital cost, was the most significant factor for influencing differences in total supply cost. Cost of dry matter loss was 5.3–11.5 % higher in conventional supply method than in fast track supply method. In addition, capital costs were 0.4–1.9 % bigger in traditional procurement. Procurement costs of logging residue supply for energy-use can be decreased by using fast track supply chain. Although results proved that fast track supply chain decreases total procurement costs, one should remember that the volume of logging residues must be fitted to power plant’s energy demand.