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NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

2019

Sammendrag

Seasonal variations in wood supply are linked to the regional operating environment. This study constitutes the Norwegian contribution to Era-Net MultiStrat (Multimodal strategies for more resilient wood supply) covering oceanic, sub-arctic and continental climate zones. The oceanic zone is characterized by considerable seasonal variation in both temperature and precipitation. The goal of the study was to seek solutions for more resilient wood supply under these conditions. The study started with a general mapping of wood supply management processes including common demand and supply risks (WP1). The work continued with analysis of three years of production and transport reports (2014-2016) with tracking of roadside stocks and transport lead times (WP2). Daily temperature, precipitation, and snowpack were tracked with data from 65 surrounding weather stations. A simple multimodal transport problem with a rolling selection of planning horizons was then used to find the efficient multimodal solutions for the core, adjacent and peripheral supply regions through 12 balance periods per year (WP3). The transport analysis covers 65 supply districts feeding 6 assortment groups to 10 mills via 11 shipping terminals. The transport analysis varied both vessel cargo capacity and cargo collection practices. The results demonstrated a wide range of solutions to ensure roundwood availability with limited increases in system costs. While the transport analysis demonstrated the contribution of the multimodal solutions to structural flexibility, it also revealed a bottleneck for resilience of the wood supply system; seasonal variation in truck transport output (m3km/week). The geographical distribution of seasonality showed the main source to be one particular supply region. A subsequent wood supply planning workshop with production managers indicated that a bottleneck for improved production planning was short wood purchase and planning horizons. A simple optimization experiment was therefore set up to quantify the feasibility of more specific site-type selection according to actual soil and seasonal weather conditions for the selected region. On-line grid-based groundwater modeling was used to monitor weekly geographical variations in bearing capacity and the experiment provided a plausible re-scheduling of flows to reduce variation in delivery volumes and transport output.