| 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
|
| 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. |
| wos |
WOS:000361385100048 |
| keywords |
Building energy performance analysis; building information model (bim); parametric modelling; parametric energy simulation; multi-objective optimization |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (297,491 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:58 |
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