An expert decision support tool for office buildings facades during early design stages: A parametric approach

[en] Design decision-making during the early stages of facade development influences the final performance of buildings. The role of architects is to integrate their design with energy analysis. Thus, this process can lead to decision fatigue and significant time investment when using building simulation tools to consider the numerous possibilities and choices available. This study presents a parametric design approach for façades of office buildings in cities with a temperate climate. The study presents an expert decision-support tool that informs and facilitates decision-making. Furthermore, the research highlights the most critical decision-making parameters. In conclusion, the expert system alleviates design decision fatigue and informs architects and designers.

Disciplines :

Architecture

Author, co-author :

Nassimos, Meray ; Université de Liège - ULiège > Département ArGEnCo > Lucid - Lab for User Cognition & Innovative Design

Attia, Shady ; Université de Liège - ULiège > Urban and Environmental Engineering

Language :

English

Title :

An expert decision support tool for office buildings facades during early design stages: A parametric approach

Publication date :

04 September 2023

Event name :

Building Simulation 2023

Event organizer :

Tongji University

Event place :

Shanghai, China

Event date :

04.09.2023

Event number :

By request :

Yes

Audience :

International

Main work title :

Building Simulation 2023

Author, co-author :

Yan, Da

Publisher :

Tongji University, Shanghai, China

Peer reviewed :

Peer reviewed

Development Goals :

7. Affordable and clean energy

Additional URL :

https://publications.ibpsa.org/conference/paper/?id=bs2023_1260

Available on ORBi :

since 05 September 2023

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Bibliography

Attia, S., Favoino, F., Loonen, R., Petrovski, A., & Monge-Barrio, A. (2015). Adaptive façades system assessment: An initial review. In 10th Conference on Advanced Building Skins. 978-3-98120538-1, Munich, Germany.
Attia, S., Garat, S., & Cools, M. (2019). Development and validation of a survey for well-being and interaction assessment by occupants in office buildings with adaptive facades. Building and Environment, 157, 268-276.
Attia (2023) Usability testing for building performance simulation tools: a framework to support simulation tools adoption and fitness in the design process, Journal of Building Simulation, under review.
Bertrand, S., Cuchet, M., Yang, S., & Tabadkani, A. (2022). Comparison of Thermal Energy Saving Potential and Overheating Risk of Four Adaptive Façade Technologies in Office Buildings. Sustainability, 14(10), 6106.
Bálint Palmgren, O., & Tran, D. T. (2021). The Impact of Late Design Choices on Daylight and Energy Use in Buildings.
Cerutti, E. A. (2022). Parametric facade modelling for visual comfort optimization and overheating mitigation. A new workflow for advancing net zero competition.
Chen, X., Yang, H., & Zhang, W. (2018). Simulation-based approach to optimize passively designed buildings: A case study on a typical architectural form in hot and humid climates. Renewable and Sustainable Energy Reviews, 82, 1712–1725. https://doi.org/10.1016/j.rser.2017.06.018
Chi, D., Moreno Rangel, D., & Navarro, J. (2017). Design optimisation of perforated solar façades in order to balance daylighting with thermal performance. Building and Environment, 125. https://doi.org/10.1016/j.buildenv.2017.09.007
Gagne, J. M. L. (2011). An interactive performance-based expert system for daylighting in architectural design (Doctoral dissertation, Massachusetts Institute of Technology).
Gagne, J. M., Andersen, M., & Norford, L. K. (2011). An interactive expert system for daylighting design exploration. Building and Environment, 46(11), 2351-2364.
Han, T., Huang, Q., Zhang, A., & Zhang, Q. (2018). Simulation-Based Decision Support Tools in the Early Design Stages of a Green Building—A Review. Sustainability, 10, 3696. https://doi.org/10.3390/su10103696
Hee, W. J., Alghoul, M., Bakh, B., Elayeb, O., Shameri, M. A., Alrubaih, M. S., & Sopian, K. (2015). The role of window glazing on daylighting and energy saving in buildings. Renewable and Sustainable Energy Reviews, 42. https://doi.org/10.1016/j.rser.2014.09.020
ISO 9241-210 (2018): Ergonomic requirements for office work with visual display terminals (VDTs): Part 11: Guidance on usability.” ISO.
Krstic-Furundzic, A., Vujosevic, M., & Petrovski, A. (2019). Energy and environmental performance of the office building facade scenarios. Energy, 183. https://doi.org/10.1016/j.energy.2019.05.231
Mulville, M., Callaghan, N., & Isaac, D. (2016). The impact of the ambient environment and building configuration on occupant productivity in open-plan commercial offices. Journal of Corporate Real Estate, 18, 180–193. https://doi.org/10.1108/JCRE-11-2015-0038
Namazi, M., Eshrati, P., Eshrati, D., & Fadaei Nezhad Bahramjerdi, S. (2016). The Study of Effective Components in Façade Engineering Towards Developing a Conceptual Framework. Journal of Applied Environmental and Biological Sciences, 6, 61–68.
Nassimos (2021). Expert decision support for the early design stage of facades for office buildings in Belgium: A parametric approach, Masters’ thesis, Liege University, Liege Belgium
Ochoa, C. E., & Capeluto, I. G. (2015). Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings. Renewable Energy, 78, 498-508.
Yan, M.-R. (2018). Improving entrepreneurial knowledge and business innovations by the simulation-based strategic decision support system. Knowledge Management Research & Practice, 16(2), 173–182. https://doi.org/10.1080/14778238.2018.1442994