Targeting modular adaptive façade personalization in a shared office space using fuzzy logic and genetic optimization

Title

Targeting modular adaptive façade personalization in a shared office space using fuzzy logic and genetic optimization

 Author

Tabadkani, Amir
Nikkhah Dehnavi, Arman (Shahid Beheshti University)
Mostafavi, F. (TU Delft History, Form & Aesthetics)
Naeini, Hoorie Ghorbani (University of Tehran)

Date

2023

 Abstract

In shared office spaces, occupants' comfort criteria are limited to locally controlled zones while ambient features of the environment and the potential negative impacts of others' behavior require a well-designed control system, especially over adaptive façade elements. This means setting up control strategies for a wider spectrum of varying comfort perceptions from person to person dictates an approach towards personalizing adaptive facades. Thereby, this research coupled a simulation-based methodology with fuzzy logic and a genetic algorithm to personalize façade modules based on the visual discomfort conditions of the occupants. Results confirmed that increasing the control freedom by personalization accounting for multi-objective criteria including glare, daylight, and view could satisfy occupants from 83% to 100%. Moreover, the proposed façade personalization framework could enhance visual comfort compared with two typical automated Venetian blind controls, significantly. This study provides novel insights for designers and operators to decentralize facades' elements by accepting occupants’ feedback as part of their control loops.


 Subject

Building performance simulation
Fuzzy model
Modular façade
Occupant behavior
Personalized control
Shared space
Visual comfort

 To reference this document use:

http://resolver.tudelft.nl/uuid:ee852ac6-d3f8-4da7-a112-97fac02d963f

 DOI

https://doi.org/10.1016/j.jobe.2023.106118

 Embargo date

2023-09-01

 ISSN

2352-7102

 Source

Journal of Building Engineering, 69

 Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2023 Amir Tabadkani, Arman Nikkhah Dehnavi, F. Mostafavi, Hoorie Ghorbani Naeini
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