2011
DOI: 10.5402/2011/189734
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Effects of Local Biomass Availability and Road Network Properties on the Greenhouse Gas Emissions of Biomass Supply Chain

Abstract: This study presents two case studies of 100 GWh of forest biomass supply: Rovaniemi in northern Finland and Mikkeli in south-eastern Finland. The study evaluates the effects of local biomass availability and road network properties on the greenhouse gas (GHG) emissions of these two supply chains. The local forest biomass availability around the case study locations, truck transportation distances, and road network properties were analyzed by GIS methods to produce accurate and site-dependent data for the tran… Show more

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Cited by 10 publications
(5 citation statements)
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“…Nationwide analyses of the geospatial balance between supply and demand have also been published, based on large forest inventory databases and spatial information regarding heating and power plants (Nivala et al 2016;Athanassiadis and Nordfjell 2017;Anttila et al 2018). In the most basic GIS-based case studies the supply chain modelling consists of resource data for one type of feedstock and the calculation of transport distances for one type of vehicle, without any location-specific factors limiting the logistics (see Jäppinen et al 2011). As business has grown and competition for feedstock has increased in the real world, so the research methods and the quality of the data have been refined.…”
Section: Research Into the Development Of Biomass Supply Chainsmentioning
confidence: 99%
“…Nationwide analyses of the geospatial balance between supply and demand have also been published, based on large forest inventory databases and spatial information regarding heating and power plants (Nivala et al 2016;Athanassiadis and Nordfjell 2017;Anttila et al 2018). In the most basic GIS-based case studies the supply chain modelling consists of resource data for one type of feedstock and the calculation of transport distances for one type of vehicle, without any location-specific factors limiting the logistics (see Jäppinen et al 2011). As business has grown and competition for feedstock has increased in the real world, so the research methods and the quality of the data have been refined.…”
Section: Research Into the Development Of Biomass Supply Chainsmentioning
confidence: 99%
“…Unlike the capital and operation costs of conversion facility, cost of LCB feedstock is sensitive to spatial variation in the quantity and quality of lands between sites (Mooney et al, 2009;Noon, Zhan, and Graham, 2002). In addition, the attributes and the quality of the local transportation network affected the transportation cost and GHG emissions of a feedstock supply chain (Jäppinen, Korpinen, and Ranta, 2011;Yu et al, 2013). Most importantly, spatial factors such as the type of land converted to LCB feedstock production could have different implications to the economic and environmental performance of the feedstock supply chain.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Meanwhile, Selkimäki et al (2010) calculated a limit for the radius of transportation (300 km) for Swedish and Finnish scenarios. Jäppinen et al (2011) considered 50 km radius of transportation for woody biomass in Finland, as distances lower than 100 km for truck transportation could raise the transportation costs. The aforementioned works have the shortcoming of not reporting crop data from a specific geographic region (e.g., actual yearly sugarcane milling rate), and only few works deal with the collection of biomass into a specific location.…”
Section: Introductionmentioning
confidence: 99%