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Danish Center for Computational Wind Turbine Aerodynamics and Atmospheric Turbulence

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Title : Development of a mass-consistent diagnostic model
Authors : Jorge Gonzales Olalla

Summary :
A mass-consistent diagnostic wind model (WIMO) has been developed for wind energy applications (mainly in complex terrain). The main features about WIMO are that it is bidimensional, runs in the micro-scale, incorporates two interpolation methods (Inverse of the squared distance and minimum curvature Spline), and does not change the initial values during the mass-conservation process. There are two versions of WIMO, one in Fortran 90 and other in Visual Basic. It has been evaluated in three wind data campaigns. The Lammefjord data from the ´Database on wind characteristics´ was used to check if there were any structural errors in the code, and to quantify how the interpolation and conservation processes improved the results. The Crete campaing was used to compare the performance of both interpolation methods with data taken in an atmospheric bounday layer wind tunnel. Finally, wind data from the Askervein campaing was simulated with a well-known mass-consistent model (MATHEW) and WIMO. MATHEW´s EMS was three times bigger and two orders of magnitude slower than WIMO. Ph.D. Thesis: Development of a mass-consistent diagnostic wind model for wind energy applications University: Universidad Complutense de Madrid (Spain) by Jorge Gonzales Olalla

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