Frontiers of Architectural Research >

2020 , Vol. 9 >Issue 2: 335 - 349

DOI: https://doi.org/10.1016/j.foar.2019.10.004

Research Article

A computational approach for achieving optimum daylight inside buildings through automated kinetic shading systems

  • Sahba Samadi 1 ,
  • Esmatullah Noorzai , 2 ,
  • Liliana O. Beltrán 1 ,
  • Saman Abbasi 3
Expand
  • 1. Department of Architecture, College of Architecture, Texas A&M University, TX, USA
  • 2. Department of Project and Construction Management, School of Architecture, University of Tehran, Tehran, Iran
  • 3. Department of Facilities Management, School of Architecture, Pars University, Tehran, Iran

Received date: 05 Jun 2019

Revised date: 09 Oct 2019

Accepted date: 12 Oct 2019

Published date: 15 Jun 2020

Copyright

2019 2019 Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
Fold

Abstract

Parametric architecture can be used to improve design quality by integrating and coordinating design components, and any change in one parameter affects the final design. Daylight is a crucial parameter in designing energy-efficient buildings. In this research, daylight inside a building was improved by designing a kinetic shading system with independent units parametrically responding to sunlight through 3D rotation (around the centers of the units) and 2D movement (on the surface of the shading system). Various patterns were determined to create the unit’s basic form and allow the designer to have a wide range of options. The units were defined with the plugin “Grasshopper.” Their rotation was parametrically controlled on the basis of sun path and weather data by using “Honeybee” and “Ladybug” plugins to provide constant optimized daylighting inside the building. Results showed that the use of such a shading system in optimal situations can greatly increase the efficiency of indoor daylight.

Key words： Kinetic shading system; Daylight optimization; Parametric design; Passive solar strategies

Cite this article

Sahba Samadi , Esmatullah Noorzai , Liliana O. Beltrán , Saman Abbasi . A computational approach for achieving optimum daylight inside buildings through automated kinetic shading systems[J]. Frontiers of Architectural Research, 2020 , 9(2) : 335 -349 . DOI: 10.1016/j.foar.2019.10.004

Options
Outlines

/

〈 〉