Energy Design by Evolution: Applying Evolutionary Computing to Energy Efficient Architectural Design

Bernhard Sommer; Ulrich Pont

doi:10.4028/www.scientific.net/AMR.899.120

Paper Titles

Building Sector & Climate Change: The Case of Hungary
p.99

Alternative Way of Thermal Protection by Thermal Barrier
p.107

Determination of Linear Thermal Transmittance for Curved Detail
p.112

Determining Cumulative Room Temperature under In Situ Conditions Using Combined Method
p.116

Energy Design by Evolution: Applying Evolutionary Computing to Energy Efficient Architectural Design
p.120

Experimental Measurements and Numerical Simulations of Dynamic Thermal Performance of External Timber Frame Wall
p.126

Hot Water Temperature Drop in a Pipe as a Parameter in Order to Define Operation Time of a Circulation Loop in Domestic Hot Water Distribution System
p.131

Impact of Façade Colouring on Temperature and Light Conditions of Buildings, Housing Estates, and Environment
p.135

Improvements of Energy Balance of Existing Residential Buildings
p.139

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 899Energy Design by Evolution: Applying Evolutionary...

Energy Design by Evolution: Applying Evolutionary Computing to Energy Efficient Architectural Design

Abstract:

In this paper, the authors want to show a method that allows customizing energy efficient buildings to the very task and to the very site by linking environmental data and design strategies through algorithmic processes. An optimum solution for the energy efficiency of a building can then be found by running an evolutionary solver.

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Periodical:

Advanced Materials Research (Volume 899)

Pages:

120-125

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.899.120

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Online since:

February 2014

Authors:

Bernhard Sommer*, Ulrich Pont

Keywords:

Building Performance, Evolutionary Algorithm (EA), Optimization, Parametric Design

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References

[1] Peter J. Bentley, David W. Corne, An introduction to Creative Evolutionary Systems, In: Peter J Bentley and David W. Corne, Editor(s), The Morgan Kaufmann Series in Artificial Intelligence, Morgan Kaufmann, San Francisco, 2002, pp.1-75.

DOI: 10.1007/s00897020607a

Google Scholar

[2] Rutten, David, 2010, Evolutionary Principles applied to Problem Solving, [online] Available at: <http: /www. grasshopper3d. com/profiles/blogs/evolutionary-principles>, [Blog from 24. 9. 2010], [Accessed: 1. 12. 2011].

Google Scholar

[3] Hausladen, G., de Saldanha, M., Liedl, P., Climaskin, Konzepte für Gebäudehüllen, die mit weniger Energie mehr leisten, Callwey Verlag, Stuttgart, 2006, p. 26ff.

DOI: 10.1002/bapi.200790019

Google Scholar

[4] Austrian Standards Institute, 2010, ÖNORM B 8110-6 Wärmeschutz im Hochbau, Teil 6: Grundlagen und Nachweisverfahren - Heizwärmebedarf und Kuhlbedarf, Ausgabe: 2010-01-01, Wien: ASI.

Google Scholar

[5] Europäisches Komitee für Normung, 2007, ÖNORM EN 15193 Energetische Bewertung von Gebäuden - Energetische Anforderungen an die Beleuchtung, Ausgabe: 2008-01-01, Brüssel: CEN.

DOI: 10.31030/2535049

Google Scholar

[6] Austrian Standards Institute, 2007, ENTWURF VORNORM ÖNORM H 5059, Gesamtenergieeffizienz von Gebäuden - Beleuchtungsenergiebedarf, Ausgabe: 2007-04-01, Wien: ASI.

Google Scholar

[7] Schweizerischer Ingenieur- und Architekten-Verein, 1996, Leitfaden fur die Anwendung der Empfehlung SIA 380/4, Elektrische Energie im Hochbau, SIA-Dokumentation D0131, Zürich: SIA.

DOI: 10.1002/best.199900410

Google Scholar

[8] Hausladen, G., de Saldanha, M., Liedl, P., Climaskin, Konzepte für Gebäudehüllen, die mit weniger Energie mehr leisten, Callwey Verlag, Stuttgart, 2006, p.34.

DOI: 10.1002/bapi.200790019

Google Scholar