Optimizing Daylight Performance of Digital Fabricated Adobe Walls

Author:

Gonidakis Dimitrios N.1ORCID,Frangedaki Evangelia I.1ORCID,Lagaros Nikos D.1ORCID

Affiliation:

1. Institute of Structural Analysis and Antiseismic Research, School of Civil Engineering, National Technical University of Athens, GR-15780 Athens, Greece

Abstract

The construction industry faces a growing challenge in reducing its environmental impact through sustainable design and practices. Buildings are responsible for a significant share of CO2 emissions and pollution, with lighting alone accounting for roughly 15% of global electricity consumption according to the International Energy Agency (IEA). A key element in achieving sustainability is optimizing daylight penetration within buildings, reducing reliance on artificial lighting and associated energy demands. This research introduces a novel approach by optimizing the geometry of a building’s exterior skin fabricated with adobe by 3D-printed molds. This method aims to achieve a balance between structural integrity, improved daylight availability within the building, and the inherent sustainability benefits of using adobe, an earth-based material. The proposed design procedure starts with a 2D geometry and applies it to the building’s exterior. The framework then optimizes the geometry to maintain structural stability while maximizing daylight penetration into the interior. Importantly, this optimization considers the specific material properties of adobe walls created using 3D-printed metal molds. By integrating 3D-printed adobe molds and daylight optimization, a framework is offered with a potential path towards sustainable building design with improved energy efficiency and reduced environmental impact.

Funder

AMOSS project: “Additively Manufactured Optimized 3D Printed Steel Structures”

Publisher

MDPI AG

Reference66 articles.

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3. UN World Commission on Environment and Development (1987). Report of the World Commission on Environment and Development: Our Common Future.

4. Bendsoe, M.P., and Sigmund, O. (2003). Topology Optimization: Theory, Methods, and Applications, Springer Science & Business Media.

5. The Mosaic of Metaheuristic Algorithms in Structural Optimization;Lagaros;Arch. Comput. Methods Eng.,2022

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