Vindkraft i Dalarna : Från acceptans och lokalisering till planering och eftertanke

This thesis examines prerequisites for wind power diffusion in a county in Sweden that quite recently was concidered to be of interest for electricty production from renewable energy sources. Three different municipalities: Falun, Mora and Orsa in the county of Dalarna are highlighted.  Their view on permitting processes of wind power installations are investigated. Other actors, such as exploiters and local citizens are also being analysed. This study shows that the local acceptance was very high when the first wind power parks were built, much thanks to local politicians and local citizens. For the politicians the wind power symbolised a key to a better green society, for the local citizens the wind power meant some economical advantages. The first wind power parks were localised to areas because of good wind conditions and social factors, especially from local communities. However, results from this study shows that the acceptance for wind power the last few years, in generel, has decreased.  The local authorities have also been conscious of some negative consequenses from already built wind power parks.  As a response they started to add planning tools to the permitting process.

Aerobic power and lean mass are indicators of competitive sprint performance among elite female cross-country skiers

The purpose of this study was to establish the optimal allometric models to predict International Ski Federation’s ski-ranking points for sprint competitions (FISsprint) among elite female cross-country skiers based on maximal oxygen uptake (V̇O2max) and lean mass (LM). Ten elite female cross-country skiers (age: 24.5±2.8 years [mean ± SD]) completed a treadmill roller-skiing test to determine V̇O2max (ie, aerobic power) using the diagonal stride technique, whereas LM (ie, a surrogate indicator of anaerobic capacity) was determined by dual-emission X-ray anthropometry. The subjects’ FISsprint were used as competitive performance measures. Power function modeling was used to predict the skiers’ FISsprint based on V̇O2max, LM, and body mass. The subjects’ test and performance data were as follows: V̇O2max, 4.0±0.3 L min-1; LM, 48.9±4.4 kg; body mass, 64.0±5.2 kg; and FISsprint, 116.4±59.6 points. The following power function models were established for the prediction of FISsprint: 3.91×105 ∙ VO -6.002maxand 6.95×1010 ∙ LM-5.25; these models explained 66% (P=0.0043) and 52% (P=0.019), respectively, of the variance in the FISsprint. Body mass failed to contribute to both models; hence, the models are based on V̇O2max and LM expressed absolutely. The results demonstrate that the physiological variables that reflect aerobic power and anaerobic capacity are important indicators of competitive sprint performance among elite female skiers. To accurately indicate performance capability among elite female skiers, the presented power function models should be used. Skiers whose V̇O2max differs by 1% will differ in their FISsprint by 5.8%, whereas the corresponding 1% difference in LM is related to an FISsprint difference of 5.1%, where both differences are in favor of the skier with higher V̇O2max or LM. It is recommended that coaches use the absolute expression of these variables to monitor skiers’ performance-related training adaptations linked to changes in aerobic power and anaerobic capacity.