Abstract
The energy consumption of a building and its internal conditions are intimately related to its shape. There have been various attempts to use computer-based optimisation within a thermal simulation environment to produce designs with minimal energy consumption. Most of these studies have looked at optimising parameters such as U-values and glazing ratios, but a small number have looked into the form of the building, but in a way that does not naturally fit with the human-led design process. In this paper, the first practical methodology for optimising complex building facades and internal layouts is presented. The method allows for a free exploration of new, non-preconceived, design solutions in a way that complements the natural design process. The method has been tested on a design with eight facades. The rapid convergence of glazing
ratios for all runs indicates their significance in the energy performance of a building. The solutions display a high degree of variability of floor shape without a compromise in performance, which indicates that human judgment can still be used as a filter even within an optimising framework. Typical solutions produced by the method show an annual total energy demand of 56 kWh/m2, 51% lower than typical for the region in which the building was sited.
ratios for all runs indicates their significance in the energy performance of a building. The solutions display a high degree of variability of floor shape without a compromise in performance, which indicates that human judgment can still be used as a filter even within an optimising framework. Typical solutions produced by the method show an annual total energy demand of 56 kWh/m2, 51% lower than typical for the region in which the building was sited.
Original language | English |
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Pages (from-to) | 307-322 |
Number of pages | 16 |
Journal | Building SImulation: An international Journal |
Volume | 8 |
Issue number | 3 |
Early online date | 27 Nov 2014 |
DOIs | |
Publication status | Published - 30 Jun 2015 |
Keywords
- GA
- building form
- low-energy design
- multi-zone
- encoding floor plan
- layout
- constrained optimisation
- geometry optimisation
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David Coley
- Department of Architecture & Civil Engineering - Professor
- Centre for Doctoral Training in Decarbonisation of the Built Environment (dCarb)
- Institute for Mathematical Innovation (IMI)
- Centre for Regenerative Design & Engineering for a Net Positive World (RENEW)
Person: Research & Teaching, Core staff