Sensor-CFD Fusion for Physical Fields Reconstruction

Sensor-CFD Fusion for Physical Fields Reconstruction

2 PDUs for PEs and CEngs (Approved and Confirmed)

Terms and Conditions
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In this webinar, we explore the issue of dense and sparse information fusion with indoor physical fields (e.g. temperature, humidity, air velocity, etc.) as the information of interest. Physical fields are very useful information in many energy-efficient system design problems.

Computational fluid dynamics (CFD) simulation is essentially the de facto tool to estimate the dense indoor physical fields but has its limitations. Therefore, a new method to rapidly obtain accurate reconstruction of indoor physical fields is of practical interest. In this session, we shall discuss how sparse sensor observations can be effectively fused with CFD physical fields.

 
Please click HERE for more information on the Speakers and Topics
 

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(Please be informed that there will be a cancellation charge of 4.5% if cancelled by the participant)

For more information, please email to amelia.yeo@iesnet.org.sg.

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