Applying Deep Learning and Databases for Energy-efficient Architectural Design Abstract

Manav Mahan Singh; Patricia Schneider-Marin; Hannes Harter; Werner Lang; Philipp Florian Geyer

Details

Originalsprache	Englisch
Titel des Sammelwerks	Anthropologic
Untertitel	Architecture and Fabrication in the cognitive age
Herausgeber/-innen	Liss C. Werner, Dietmar Koering
Erscheinungsort	Berlin
Seiten	79-87
Seitenumfang	9
Publikationsstatus	Veröffentlicht - 2020
Extern publiziert	Ja
Veranstaltung	38th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2020 - Berlin, Deutschland Dauer: 16 Sept. 2020 → 17 Sept. 2020

Publikationsreihe

Name	Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
Band	2
ISSN (Print)	2684-1843

Abstract

The reduction of energy consumption of buildings requires consideration in early design phases. However, modelling and computation time required for dynamic energy simulations makes them inappropriate in the early phases. This paper presents a performance prediction approach for these phases that is embedded in a multi-level-of-development modelling approach. First, parametric pre-trained modular deep learning components are embedded in the building elements. The energy performance is predicted by composing these components. Second, embodied energy assessment is performed by extracting the information from a database. A calculation module queries the database and calculates the embodied energy. Both, embodied and operational, energy are assembled to predict lifecycle energy demand. The method has been implemented prototypically in a digital modelling environment Revit. A case study serves to demonstrate the application process, the user interaction and the information flows. It shows energy prediction in early design phases to enhance the environmental performance of the building.

ASJC Scopus Sachgebiete

Informatik (insg.)
Computergrafik und computergestütztes Design
Sozialwissenschaften (insg.)
Ausbildung bzw. Denomination
Ingenieurwesen (insg.)
Architektur

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Zitieren

Applying Deep Learning and Databases for Energy-efficient Architectural Design Abstract. / Singh, Manav Mahan; Schneider-Marin, Patricia; Harter, Hannes et al.
Anthropologic: Architecture and Fabrication in the cognitive age. Hrsg. / Liss C. Werner; Dietmar Koering. Berlin, 2020. S. 79-87 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Band 2).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Singh, MM, Schneider-Marin, P, Harter, H, Lang, W & Geyer, PF 2020, Applying Deep Learning and Databases for Energy-efficient Architectural Design Abstract. in LC Werner & D Koering (Hrsg.), Anthropologic: Architecture and Fabrication in the cognitive age. Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, Bd. 2, Berlin, S. 79-87, 38th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2020, Berlin, Deutschland, 16 Sept. 2020.

Singh, M. M., Schneider-Marin, P., Harter, H., Lang, W., & Geyer, P. F. (2020). Applying Deep Learning and Databases for Energy-efficient Architectural Design Abstract. In L. C. Werner, & D. Koering (Hrsg.), Anthropologic: Architecture and Fabrication in the cognitive age (S. 79-87). (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Band 2)..

Singh MM, Schneider-Marin P, Harter H, Lang W, Geyer PF. Applying Deep Learning and Databases for Energy-efficient Architectural Design Abstract. in Werner LC, Koering D, Hrsg., Anthropologic: Architecture and Fabrication in the cognitive age. Berlin. 2020. S. 79-87. (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

Singh, Manav Mahan ; Schneider-Marin, Patricia ; Harter, Hannes et al. / Applying Deep Learning and Databases for Energy-efficient Architectural Design Abstract. Anthropologic: Architecture and Fabrication in the cognitive age. Hrsg. / Liss C. Werner ; Dietmar Koering. Berlin, 2020. S. 79-87 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

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Research@Leibniz University