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_id	ecaade2014_224
id	ecaade2014_224
authors	Mohammad Rahmani Asl, Michael Bergin, Adam Menter and Wei Yan
year	2014
title	BIM-based Parametric Building Energy Performance Multi-Objective Optimization
source	Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 2, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 455-464
doi	https://doi.org/10.52842/conf.ecaade.2014.2.455
wos	WOS:000361385100048
summary	Building energy performance assessments are complex multi-criteria problems. Appropriate tools that can help designers explore design alternatives and assess the energy performance for choosing the most appropriate alternative are in high demand. In this paper, we present a newly developed integrated parametric Building Information Modeling (BIM)-based system to interact with cloud-based whole building energy performance simulation and daylighting tools to optimize building energy performance using a Multi-Objective Optimization (MOO) algorithm. This system enables designers to explore design alternatives using a visual programming interface, while assessing the energy performance of the design models to search for the most appropriate design. A case study of minimizing the energy use while maximizing the appropriate daylighting level of a residential building is provided to showcase the utility of the system and its workflow.
keywords	Building energy performance analysis; building information model (bim); parametric modelling; parametric energy simulation; multi-objective optimization
series	eCAADe
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last changed	2022/06/07 07:58

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