| id |
ecaade2011_020 |
| authors |
de la Barrera Poblete, Carlos Ignacio |
| year |
2011 |
| title |
Evolutionary Strategy to Design Optimized Architecture |
| doi |
https://doi.org/10.52842/conf.ecaade.2011.293
|
| source |
RESPECTING FRAGILE PLACES [29th eCAADe Conference Proceedings / ISBN 978-9-4912070-1-3], University of Ljubljana, Faculty of Architecture (Slovenia) 21-24 September 2011, pp.293-301 |
| wos |
WOS:000335665500033 |
| summary |
The purpose of the present experiment consists in optimizing a building modifying its apertures (windows) and its geometry to reduce heating and air conditioning consumption. The optimization is performed using a Micro-Genetic Algorithm (Micro-GAs) programmed in C# embedded like a series of functions into GenerativeComponents (GC). EnergyPlus (E+) software is used to evaluate the HVAC consumption levels of the building. The aim of the optimization is to keep the temperature at 20ºC on the hottest and coldest day using the least possible energy (Jules). In conclusion, this article proposes a new technique based on parametric modelling, evaluation and evolutionary optimization to generate efficient buildings with HVAC consumptions. |
| keywords |
Optimization; Parametric design; Genetic Algorithms; Energy Consumption; Architecture |
| series |
eCAADe |
| email |
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| full text |
 file.pdf (1,766,270 bytes) |
| references |
Content-type: text/plain
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Mitchell, M. (1996)
 An Introduction to Genetic Algorithms
, Cambridge, Massachusetts
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Zitzler, E., Kalyanmoy, D., Thiele, L., Coello Coello, C.A. (2001)
Evolutionary Multi-Criterion Optimization
, Springer-Verlag, Zurich
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| last changed |
2022/05/01 23:21 |
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