Naboni, Emanuele;
Maccarini, Alessandro;
Korolija, Ivan;
Zhang, Yi;
(2013)
Comparison of conventional, parametric and evolutionary optimization approaches for the architectural design of nearly zero energy buildings.
In: Wurtz, Etienne, (ed.)
Proceedings of 13th International Conference of the International Building Performance Simulation Association (Building Simulation 2013).
(pp. pp. 2559-2566).
International Building Performance Simulation Association (IBPSA): Chambery, France.
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Abstract
The research investigates how different design approaches and computational methods can be integrated in the design process of energy efficient and comfortable buildings. Three approaches were studied: A scenario-by-scenario conventional design approach, a parametric approach and an evolutionary optimization approach. To explore the potential and limitation of such methods, a nearly Zero-Energy Building (nZEB) prototype, named Autarki 1:1 (Greek word for self- sufficient), was designed and built on the campus of the Royal Danish Academy of Fine Arts in Copenhagen. The performance optimization was achieved with different tools: EnergyPlus, jEplus and jEplus+EA. The experiment allowed the evaluation and discussion of optimization techniques compatibility with an architectural design process. The user- friendliness, the time required for inputting and computing, the related need of hardware resources and the effectiveness of each strategy are described.
Type: | Proceedings paper |
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Title: | Comparison of conventional, parametric and evolutionary optimization approaches for the architectural design of nearly zero energy buildings |
Event: | 13th International Conference of the International Building Performance Simulation Association (Building Simulation 2013) |
Location: | Chambery, France |
Dates: | 25 Aug 2013 - 28 Aug 2013 |
ISBN-13: | 9781629939988 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.proceedings.com/21462.html |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | 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 UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10149653 |
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