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Zone modelling and visualisation: keys to the design of low carbon buildings

Hetherington, Robina; Laney, Robin and Peake, Stephen (2012). Zone modelling and visualisation: keys to the design of low carbon buildings. In: 16th International Conference on Information Visualisation (IV), 11 -13 July 2012, Montpellier, France.

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URL: http://www.graphicslink.co.uk/BuiltViz2012/
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1109/IV.2012.86
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Abstract

A new approach to building modelling software, to support the iterative design of energy efficient buildings, is proposed. The proposal is for the combination of two, previously separate, software types - building design modelling and building performance simulation, along with the development of a third component - a design advisor, into one software tool. This software is intended for use by architectural practices, who may not have access to energy expertise, and who may then struggle to maintain design standards for non-domestic buildings required to satisfy rigorous energy performance regulations.

In this paper we describe, through an example, how the three components would work together, by the employment of zone meshes, to visualise, simulate and support with information and advice, the design of a building. The novelty of the method resides in the application of underlying zone meshes for the support of iterative building design. The approach is described, illustrated and future work outlined.

Item Type: Conference Item
Copyright Holders: 2012 IEEE Computer Society
Extra Information: This paper appears in: 16th International Conference on Information Visualisation (IV), 11-13 July 2012, Pages 495 - 503.
Keywords: Building Information Modelling [BIM]; energy; climate change; Building Performance Simulation [BPS] Building Energy Simulation [BES]
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology > Engineering & Innovation
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
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Item ID: 33573
Depositing User: Robina Hetherington
Date Deposited: 17 May 2012 10:37
Last Modified: 10 Dec 2012 19:51
URI: http://oro.open.ac.uk/id/eprint/33573
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