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DTSTART:20211028T120000Z
DTEND:20211028T150000Z
SUMMARY:The 2021 DCAMM Annual Seminar Speaker
DESCRIPTION:<p style="text-align: center;"><strong>Professor Fernando Port&eacute;-Agel<br />\nEPFL ENAC IIE WIRE<br />\nLausanne, Switzerland<br />\n&nbsp;<br />\n</strong></p>\n<p>will give the lecture </p>\n<p style="text-align: center;"><strong>Fluid Mechanics of Wind Farms:<br />\nModelling and Control<br />\n</strong></p>\n<p><strong>Abstract:</strong> <br />\n<span style="color: black;"></span></p>\n<p style="margin-top: 0pt; margin-bottom: 0pt; margin-left: 0in; text-align: justify;"><span style="color: black;">Global wind power generation is expected to grow substantially over the coming decades and play a key role in mitigating climate change and achieving energy sustainability. One of the main challenges in optimizing the design, operation and control of wind farms is the prediction of their performance, owing to the complex multiscale interactions between wind farms and the turbulent atmospheric boundary&nbsp;</span><span style="text-align: left; color: black;">layer (ABL).</span></p>\n<p style="margin-top: 0pt; margin-bottom: 0pt; margin-left: 0in; text-align: left;"><span style="color: black;">\n<br />\nParticularly important is the effect of ABL turbulence on wind-turbine wake flows, as they are responsible for substantial turbine power losses and fatigue loads in wind farms. <br />\n<br />\nThis presentation will focus on recent experimental and computational research efforts aiming at improving the prediction of wind turbine wake flows and guiding the development of wind-farm wake mitigation strategies such as active yaw control.</span></p>\n&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
X-ALT-DESC;FMTTYPE=text/html:<p style="text-align: center;"><strong>Professor Fernando Port&eacute;-Agel<br />\nEPFL ENAC IIE WIRE<br />\nLausanne, Switzerland<br />\n&nbsp;<br />\n</strong></p>\n<p>will give the lecture </p>\n<p style="text-align: center;"><strong>Fluid Mechanics of Wind Farms:<br />\nModelling and Control<br />\n</strong></p>\n<p><strong>Abstract:</strong> <br />\n<span style="color: black;"></span></p>\n<p style="margin-top: 0pt; margin-bottom: 0pt; margin-left: 0in; text-align: justify;"><span style="color: black;">Global wind power generation is expected to grow substantially over the coming decades and play a key role in mitigating climate change and achieving energy sustainability. One of the main challenges in optimizing the design, operation and control of wind farms is the prediction of their performance, owing to the complex multiscale interactions between wind farms and the turbulent atmospheric boundary&nbsp;</span><span style="text-align: left; color: black;">layer (ABL).</span></p>\n<p style="margin-top: 0pt; margin-bottom: 0pt; margin-left: 0in; text-align: left;"><span style="color: black;">\n<br />\nParticularly important is the effect of ABL turbulence on wind-turbine wake flows, as they are responsible for substantial turbine power losses and fatigue loads in wind farms. <br />\n<br />\nThis presentation will focus on recent experimental and computational research efforts aiming at improving the prediction of wind turbine wake flows and guiding the development of wind-farm wake mitigation strategies such as active yaw control.</span></p>\n&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;

URL:http://www.dcamm.dk/da/Kalender/2021/10/Annual_speaker_2021_AU
DTSTAMP:20260913T020400Z
UID:{A69C2913-22BA-491A-A7FA-2D351286F8BD}-20211028T120000Z-20211028T120000Z
LOCATION: Auditorium 00.117 - Navitas Building, Dept. of Mechanical and Production Engineering, Aarhus University, Inge Lehmanns Gade 10, Aarhus 
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