Optimal Sensor Placement for Wind Studies Around Buildings
Event details
| Date | 23.07.2014 |
| Hour | 17:15 › 18:15 |
| Speaker | Maria Papadopoulou, PhD Student, School of Design and Environment, Department of Building, National University of Singapore (NUS) |
| Location | |
| Category | Conferences - Seminars |
Computational fluid-dynamics (CFD) simulations have become an important tool for the assessment of airflow in urban areas. However, large discrepancies may appear when simulated predictions are compared with field measurements because of the complexity of airflow behavior around buildings and difficulties in defining correct sets of parameter values, including those for inlet conditions. The aim of this work is to improve wind predictions around buildings using measurements through a multi-model system identification approach.
The success of system identification approaches depends on the location and number of sensors. In this talk a rational and systematic measurement-system design methodology is proposed to identify optimal sensor locations. The goal of the measurement system is to enhance wind predictions around buildings and capture short-term wind variability. The methodology is applied on a full-scale case study and optimum sensor configurations are evaluated for their ability to improve predictions at locations where no measurements were taken.
The success of system identification approaches depends on the location and number of sensors. In this talk a rational and systematic measurement-system design methodology is proposed to identify optimal sensor locations. The goal of the measurement system is to enhance wind predictions around buildings and capture short-term wind variability. The methodology is applied on a full-scale case study and optimum sensor configurations are evaluated for their ability to improve predictions at locations where no measurements were taken.
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Practical information
- General public
- Free
Organizer
- IMAC
Contact
- Gaudenz Moser