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Browsing by Subject "kanto"

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  • Salmi, Juho (2014)
    This research is for UPM Kymmene Oyj. They are very interested in this topic because they are Finlands biggest users of the stumps and also big stump dealer for the other companies. The research is included to the big research project which is coordinated by FIBIC. Projects name is BEST, which means Sustainable Bioenergy Solutions for Tomorrow. The European Union has set the obligations for the renewable energy source usage in their climate and energy policy. This means that the use of forest biomass needs to grow from year 2006 to year 2020 from 3,6 million cubic meters to 13,5 million cubic meters in year 2020. In the year 2012 usage of forest biomass was 8,3 million cubic meters. The share of the stumps from that amount was 1,1 million cubic meters. The share of the stumps can grow even more. If we are going to use stumps even more we should increase the quality of stump wood. Most harmful things in stump wood quality is the soil particles. They comes up from the ground with stumps when the stumps are lifted. These particles increases stumps ash contents which is very harmful in the combustion process. But still stumps are energy rich fuel which keeps low moisture content during the winter and that is the time when we most need energy. The goal of the research is to find ways to rise energy thickness of the stump by different handling methods. First method is to precrush stumps with Arjes Raptor XL crusher. That special method should decrease moisture content and this has founded out earlier in practical tests because this crusher has special crushing unit. Second method is to take unwanted particles away by sieving. In the research we use two different sieving machines: Neuenhauser 2F StarScreen starscreen and Keestrack Frontier screen. Crushing and sieving together increased heating values 7,5–16,6 % and average was 11,1 %. Different handling methods effects most by decreasing moisture and ash content.
  • Lundberg, Henri (2016)
    The use of forest chips has increased rapidly in the past 15 years and the usage must be increased even more in order to achieve the renewable energy usage goals. Forest chips are produced mainly from logging residues and stumps collected from clear cutting areas. One source is also small sized trees harvested from thinning areas. Increasing the use of forest chips could be possible, but the problem are the long transportation distances of the raw material. Most of the wood chip potential is located in Eastern and Central Finland and Kainuu, but the heat and power plants and demand are located by the sea. Transportation costs must be reduced to make usage possible. This was a pioneer study to develop working models for loading energy wood trucks. The aim of this study was to create systematic working models for loading logging residuals and stumps to bioenergy trucks to increase payload. The optimal load weight and its relation to transportation distance was also the point of interest. Twelve operators participated the study and the data was collected in Southern and Eastern Finland between April and September. The data set included 12 stump loads and 11 logging residual loads. The work researcher sat next to the driver, interviewed him about loading techniques and collected information about the loads. The loading events were also recorded by video camera for later performed time and observation studies. To compare the drivers the payloads were weighted. Drivers’ loadings where observed and analyzed with the payload weights and the loading times and as a result four different working models were developed. For stump material two different working models were described by the size of the stump: for small sized stump and normal sized stump. The working model for normal sized stumps was divided into two working models to achieve a large payload and an average payload with minimal loading time. For logging residues only one working model was necessary to describe. Working models consisted of systematic ways of work and different types of compressing methods and tricks. The average loading time towards one ton for stumps was 2.7 minutes and for logging residuals 2.2 minutes. Aiming for large payload is not always the most cost-efficient choice. The operator should consider the transportation distance as well as loading time along with the payload. The longer the driving distance the larger the payload should be. With shorter distances it is optimal to use less time for the loading even tough large payloads will not be achieved and use the spared time for driving of extra loads.