Visualizing patterns in building performance data

Paul Raftery, Marcus Keane

Research output: Contribution to conference (Published)Paperpeer-review

13 Citations (Scopus)

Abstract

This paper discusses issues related to the visualization of building performance data and describes a novel visualization technique that supports effective analysis of this data. The technique illustrates a dataset against two binned variables by representing a statistical property of each bin (typically the mean) using a carpet-contour plot. Contour lines and values are also overlaid on the plot so that the analyst does not need to refer to a separate legend to identify the value at a given location. The paper presents examples from three case studies using data from: a) a whole building energy model; b) a project focusing on calibration of an energy simulation model of a large building to hourly measured data; c) a Monitoring and Targeting project for an automated lighting system.

Original languageEnglish
Pages9-15
Number of pages7
Publication statusPublished - 2011
Event12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011 - Sydney, NSW, Australia
Duration: 14 Nov 201116 Nov 2011

Conference

Conference12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011
Country/TerritoryAustralia
CitySydney, NSW
Period14/11/1116/11/11

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