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Results of the GABLS3 diurnal-cycle benchmark for wind energy applications

Authors: Sanz Rodrigo, Javier; Allaerts, Dries; Avila, M.; Barcons, J.; Cavar, D.; Chávez Arroyo, R.A.; Churchfield, Matthew; +9 Authors

Results of the GABLS3 diurnal-cycle benchmark for wind energy applications

Abstract

Presentation at the Wake Conference, Visby, 1 June 2017. The associated paper can be found at: http://iopscience.iop.org/article/10.1088/1742-6596/854/1/012037 Abstract We present results of the GABLS3 model intercomparison benchmark revisited for wind energy applications. The case consists of a diurnal cycle, measured at the 200-m tall Cabauw tower in the Netherlands, including a nocturnal low-level jet. The benchmark includes a sensitivity analysis of WRF simulations using two input meteorological databases and five planetary boundary-layer schemes. A reference set of mesoscale tendencies is used to drive microscale simulations using RANS k-ε and LES turbulence models. The validation is based on rotor-based quantities of interest. Cycle-integrated mean absolute errors are used to quantify model performance. The results of the benchmark are used to discuss input uncertainties from mesoscale modelling, different meso-micro coupling strategies (online vs offline) and consistency between RANS and LES codes when dealing with boundary-layer mean flow quantities. Overall, all the microscale simulations produce a consistent coupling with mesoscale forcings.

Countries
Denmark, Belgium
Keywords

Technology, Science & Technology, WEATHER, Energy & Fuels, 0299 Other Physical Sciences, RANS, ABL, 0204 Condensed Matter Physics, BOUNDARY-LAYER, Wakebench, low-level jet, Engineering, Mechanical, MODEL, Engineering, LES, 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics, TURBULENCE, 51 Physical sciences

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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