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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:Measurement-system Design for Airflow Modeling around Buildings
DTSTART:20130612T103000
DTEND:20130612T113000
DTSTAMP:20260408T074128Z
UID:871f4213289b4ef642a106b3c04c0621315df8719d2ae494ce9203a5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Maria Papadopoulou\, PhD Student\, School of Design and Enviro
 nment\, Department of Building\, National University of Singapore (NUS)\nI
 t is a challenge to design buildings that are both energy efficient and he
 althy. The factors that contribute to energy efficient and healthy buildin
 gs are related to both indoor and outdoor conditions. For example\, the ai
 rflow around naturally ventilated buildings affects occupant comfort. Wind
  speed may also have an effect on the cooling load of air-conditioned buil
 dings. Wind modeling is complex and predictions are often inaccurate due t
 o unknown combinations of values of variables that influence climatic cond
 itions. The aim of this work is to increase the accuracy of wind predictio
 ns using measurements through a multi-model system identification approach
 . The success of this approach depends on the location and number of senso
 rs. Therefore\, an important initial step is the development of a rational
  and systematic measurement-system design methodology.\nThe following are 
 stages in the proposed methodology: first a sensitivity analysis is perfor
 med to determine the impact that input variables have on the output. Featu
 re selection algorithms are employed to select the combination of variable
 s with the highest impact on predictions. The selected variables are then 
 varied and a discrete population of possible models is generated. The meas
 urement-system design is based on the predictions of these models using co
 mputational fluid dynamics. An experimental facility of the Future Cities 
 Laboratory\, called “BubbleZERO”\, is used to validate the methodology
 . Optimal sensor configurations are evaluated for their ability to accurat
 ely predict wind speeds and directions at other locations. These configura
 tions have been used to demonstrate the potential of using a discrete popu
 lation of models for simulating the outdoor wind-environment of buildings.
LOCATION:GC G1 515 http://plan.epfl.ch/?lang=fr&zoom=19&recenter_y=5864267
 .48334&recenter_x=730958.60537&layerNodes=fonds\,batiments\,labels\,inform
 ation\,parkings_publics\,arrets_metro&floor=1&q=GC_G1%20515
STATUS:CONFIRMED
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