Hierarchical Sensor Placement Using Joint Entropy and the Effect of Modeling Error
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Date
2014-09-24
Publication Type
Journal Article
ETH Bibliography
yes
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Abstract
Good prediction of the behavior of wind around buildings improves designs for natural ventilation in warm climates. However wind modeling is complex, predictions are often inaccurate due to the large uncertainties in parameter values. The goal of this work is to enhance wind prediction around buildings using measurements through implementing a multiple-model system-identification approach. The success of system-identification approaches depends directly upon the location and number of sensors. Therefore, this research proposes a methodology for optimal sensor configuration based on hierarchical sensor placement involving calculations of prediction-value joint entropy. Computational Fluid Dynamics (CFD) models are generated to create a discrete population of possible wind-flow predictions, which are then used to identify optimal sensor locations. Optimal sensor configurations are revealed using the proposed methodology and considering the effect of systematic and spatially distributed modeling errors, as well as the common information between sensor locations. The methodology is applied to a full-scale case study and optimum configurations are evaluated for their ability to falsify models and improve predictions at locations where no measurements have been taken. It is concluded that a sensor placement strategy using joint entropy is able to lead to predictions of wind characteristics around buildings and capture short-term wind variability more effectively than sequential strategies, which maximize entropy.
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Publication status
published
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Editor
Book title
Journal / series
Volume
16 (9)
Pages / Article No.
5078 - 5101
Publisher
MDPI
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Joint entropy; Hierarchical data structures; System identification; Sensor placement; Computational fluid dynamics (CFD)
Organisational unit
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)
08060 - FCL / FCL