{"id":259,"date":"2019-10-29T14:46:41","date_gmt":"2019-10-29T14:46:41","guid":{"rendered":"http:\/\/etmm.ercoftac.org\/etmm13\/?page_id=259"},"modified":"2019-10-29T14:48:05","modified_gmt":"2019-10-29T14:48:05","slug":"meyers","status":"publish","type":"page","link":"https:\/\/easyconferences.eu\/etmm13\/meyers\/","title":{"rendered":"Johan Meyers"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”3.26.6″ background_image=”http:\/\/easyconferences.eu\/etmm13\/wp-content\/uploads\/2019\/08\/Lindos-Rhodes_r.jpg” custom_padding=”6px||3px|||”][et_pb_row _builder_version=”3.26.6″][et_pb_column type=”4_4″ _builder_version=”3.26.6″][et_pb_image src=”http:\/\/easyconferences.eu\/etmm13\/wp-content\/uploads\/2019\/08\/ETMM13LogoWhiteTextClear.png” align=”center” _builder_version=”3.26.6″ width=”13%” module_alignment=”center”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”3.26.6″][et_pb_row column_structure=”1_3,2_3″ _builder_version=”3.26.6″][et_pb_column type=”1_3″ _builder_version=”3.26.6″][et_pb_image src=”http:\/\/easyconferences.eu\/etmm13\/wp-content\/uploads\/2019\/10\/meyers_web.jpg” _builder_version=”3.26.6″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”3.26.6″][et_pb_text _builder_version=”3.26.6″]<\/p>\n

Johan Meyers<\/strong><\/h3>\n

Katholieke Universiteit Leuven, Belgium<\/h4>\n

<\/h5>\n
\u201cReal-time LES and fast flow models for wind-farm applications\u201d<\/h5>\n

With next generation wind turbines surpassing a rated power of 10MW and large wind-farm projects exceeding 1GW in installed capacity, complex flow interactions between turbines, the farm, the atmospheric boundary layer and meso-scale weather systems become more and more important for the design and control of wind-energy systems. Processes that are important include turbine wake interaction, effects of turbulence, wind veer and wind shear on loads, wind-farm blockage and gravity wave excitation, and farm-farm interaction. In the last decade, large-eddy simulations have evolved into a high-fidelity testing environment that has been instrumental in better understanding these different physical processes. However, for design, real-time monitoring and control, much faster models are necessary. In the current talk, the prospect of using LES as a real-time flow model for wind-farm applications is discussed. It is shown that coarse-grid LES can produce accurate flow predictions over time horizons up to 30min, while being two orders of magnitude faster than real time. Moreover, state-estimation in LES based on lidar measurements is discussed, for which Bayesian inference and 4-Dvar are used. Finally, fast models for wind-farm\u2013gravity-wave coupling are also discussed. These phenomena occur at a larger scale that encompasses the boundary layer. To this end, an atmospheric perturbation model is presented that can either be coupled to LES, or can be used as a driver for simpler wind-farm engineering models, such as the Gaussian wake merging model.<\/p>\n

Short CV<\/strong><\/p>\n

Johan Meyers is a professor of Mechanical Engineering at KU Leuven since 2009. His research focuses on the simulation of turbulent flows and the atmospheric boundary layer with applications in wind energy. JM obtained a PhD in 2004 at KU Leuven, was a postdoctoral researcher at Univ. Paris 6, and a postdoctoral research fellow of the Science Foundation Flanders. In 2012, he obtained an ERC grant on wind-farm control, and since then he has been involved in various European projects on wind energy. Since 2017, Johan Meyers serves as the vice-president of the European Academy of Wind Energy, and he is also active as an associate editor for Computers and Fluids and for Wind Energy Science.<\/p>\n

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Johan Meyers Katholieke Universiteit Leuven, Belgium \u201cReal-time LES and fast flow models for wind-farm applications\u201d With next generation wind turbines surpassing a rated power of 10MW and large wind-farm projects exceeding 1GW in installed capacity, complex flow interactions between turbines, the farm, the atmospheric boundary layer and meso-scale weather systems become more and more important […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":""},"_links":{"self":[{"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/pages\/259"}],"collection":[{"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/comments?post=259"}],"version-history":[{"count":2,"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/pages\/259\/revisions"}],"predecessor-version":[{"id":262,"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/pages\/259\/revisions\/262"}],"wp:attachment":[{"href":"https:\/\/easyconferences.eu\/etmm13\/wp-json\/wp\/v2\/media?parent=259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}