Schwartz, Y;
Raslan, RM;
Korolija, I;
Mumovic, D;
(2017)
Integrated Building Performance Optimisation: Coupling Thermal Simulation Optimisation And Generative Spatial Design Programming.
In:
Proceedings of Building Simulation 2017.
International Building Performance Simulation Association (IBPSA): San Francisco, CA, USA.
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Abstract
The evaluation of building performance is currently implemented through the modelling and simulation of buildings, where often a single model is built and assessed based on user-generated building design inputs. Although recently developed parametric design and optimisation applications enable researchers and practitioners to automate the iteration and evaluation of building design alternatives, the integration of automatic spatial arrangement generators into the framework of these applications is still very limited. This study aims to examine the potential coupling of parametric thermal simulations and optimisations with automated generative spatial design programming, in order to incorporate different spatial arrangements as an independent simulation parameter. For this, a generative spatial arrangement algorithm was developed, and a parametric optimisation analysis was carried out. Results show that the proposed algorithm successfully automated the generation of numerous floor layouts, and the optimisation has identified a series of optimal design alternatives. This method can help decision makers to explore a significantly wider range of possible design solutions, and offer design teams optimal designs.
Type: | Proceedings paper |
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Title: | Integrated Building Performance Optimisation: Coupling Thermal Simulation Optimisation And Generative Spatial Design Programming |
Event: | Building Simulation 2017 |
Location: | San Francisco, USA |
Dates: | 07 August 2017 - 09 August 2017 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://buildingsimulation2017.org/overview.html |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1549417 |
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