Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9788
Title: A Matlab-CONTAM Toolbox for contaminant event monitoring in intelligent buildings
Authors: Michaelides, Michalis P. 
Eliades, Demetrios G. 
Christodoulou, Marinos 
Kyriakou, Marios 
Panayiotou, Christos G. 
Polycarpou, Marios M. 
Keywords: CONTAM;Contaminant event monitoring;Detection;Intelligent buildings;Isolation;Matlab Toolbox;Multi-zone model;Multiple scenarios
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 1-Dec-2013
Publisher: Springer
Source: 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, 2013, Paphos, Cyprus
metadata.dc.doi: 10.1007/978-3-642-41142-7_61
Abstract: An intelligent building should take all the necessary steps to provide protection against the dispersion of contaminants from sources (events) inside the building which can compromise the indoor air quality and influence the occupants' comfort, health, productivity and safety. Multi-zone models and software, such as CONTAM, have been widely used in building environmental studies for predicting airflows and the resulting contaminant transport. This paper describes a developed Matlab Toolbox that allows the creation of data sets from running multiple scenarios using CONTAM by varying the different problem parameters. The Matlab-CONTAM Toolbox is an expandable research tool which facilitates the implementation of various algorithms related to contamination event monitoring. In particular, this paper describes the implementation of state-of-the-art algorithms for detecting and isolating a contaminant source. The use of the Toolbox is demonstrated through a building case-study. The Matlab-CONTAM Toolbox is released under an open-source licence, and is available at https://github.com/KIOS-Research/matlab-contam-toolbox.
URI: http://ktisis.cut.ac.cy/handle/10488/9788
ISBN: 978-364241141-0
Rights: © IFIP International Federation for Information Processing 2013.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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