000264792 001__ 264792
000264792 005__ 20190619041451.0
000264792 0247_ $$a10.5075/epfl-thesis-9350$$2doi
000264792 037__ $$aTHESIS
000264792 041__ $$aeng
000264792 088__ $$a9350
000264792 245__ $$aPotential and uncertainty of wind energy in the Swiss Alps
000264792 260__ $$aLausanne$$bEPFL$$c2019
000264792 269__ $$a2019
000264792 300__ $$a126
000264792 336__ $$aTheses
000264792 502__ $$aProf. Alexandre Buttler (président) ; Prof. Michael Lehning (directeur de thèse) ; Dr Jiannong Fang, Dr Gianfranco Giudati, Dr Saskia Bourgeois (rapporteurs)
000264792 520__ $$aSwitzerland has committed itself to an ambitious energy strategy. It aims to replace the exist- ing nuclear generation capacity with predominantly indigenous renewable resources. Wind power could play a significant role in this transition, yet the wind resource in the mountainous terrain that makes up most of the country is poorly understood. There are indications that this resource could be significant, but studies undertaken so far acknowledge large uncertain- ties. This is because the complex topography of the mountains influences the flow patterns significantly, and these can become partially decoupled from the synoptic flow aloft. This thesis aims to improve the understanding of the wind resource in highly complex terrain, and thereby contribute to a well informed energy transition in Switzerland.
We start out by investigating the characteristics of the Swiss wind resource based on data from two meteorological measurement networks. From the pair-wise correlation between stations, it is concluded that wind farms across the country can be combined to produce a stable power output. It is also shown that elevation plays an important role in the wind resource, with the likelihood of sustained low wind speeds decreasing as a function of elevation, while mean speeds tend to increase with elevation.
Next, a state of the art Numerical Weather Prediction model is assessed in its ability to simulate wind speeds over the Alps, and is shown to improve drastically upon existing mean wind speed estimates. This same model is then used to calculate the wind turbine capacity that is required to produce significant amounts of wind power, and it is found that the required capacity can be significantly reduced by allowing for wind turbines to be built at high elevations.
In the last part of this thesis, smaller areas of the Alpine domain are simulated at high resolu- tions, to investigate the effect of increased model resolution on the accuracy and height of resource assessments. While it is found that optimal model parameterization is dependent on weather and terrain, strong indications of higher wind power potential are found with high resolution models compared to a model at lower resolution. This is explained by the fact that high resolutions are required to properly resolve the complex topography, which has a significant influence on the flow patterns and therefore, on the potential energy production.
000264792 592__ $$b2019
000264792 6531_ $$aWind Energy
000264792 6531_ $$aResource Assessment
000264792 6531_ $$aES2050
000264792 6531_ $$aNumerical Weather Prediction
000264792 6531_ $$aWind Modeling
000264792 6531_ $$aEnergy Transition
000264792 6531_ $$acomplex terrain
000264792 700__ $$aKruyt, Albertus Christiaan$$g249454
000264792 720_2 $$aLehning, Michael$$edir.$$g167659
000264792 8564_ $$uhttps://infoscience.epfl.ch/record/264792/files/EPFL_TH9350.pdf$$s5668397
000264792 909C0 $$pCRYOS
000264792 909CO $$pthesis$$pthesis-public$$pDOI$$pENAC$$ooai:infoscience.epfl.ch:264792$$qGLOBAL_SET
000264792 918__ $$aENAC$$cIIE$$dEDCE
000264792 919__ $$aCRYOS
000264792 920__ $$a2019-03-08$$b2019
000264792 970__ $$a9350/THESES
000264792 973__ $$sPUBLISHED$$aEPFL
000264792 980__ $$aTHESIS