To achieve carbon-neutral, net-zero operations in building structures, a paradigm shift in design methods is required. Current design processes involve multi-disciplinary teams with divergent performance goals. Daisy offers a solution, being a flexible, performance-based parametric tool. It employs computational design to allow designer-driven multi-objective optimisation, achieving high performance across various metrics. A 63-storey commercial building case study is presented. It shows the advantage of early design space analysis in achieving superior performance in both architectural and engineering aspects. Enabling the move towards carbon-neutral building structures. Moreover, Daisy's methodology can address a myriad of civil engineering optimisation challenges by providing a versatile design space adaptable to unique project needs. Designs generated using the Daisy methodology demonstrated that by increasing the spatial daylight autonomy of the benchmark building by 14.7%, the building can be moved from the 10% of designs with the highest energy-use intensity to lower than 97% of other simulated designs. However, its embodied carbon surpassed 90% of the models. Conversely, decreasing daylight autonomy by 32.8% places the design's energy use intensity and embodied carbon below 75% and 60% of simulations, respectively, marking energy and embodied carbon reductions of 4.4% and 1.3%.
Article navigation
31 August 2023
Research Article|
August 31 2023
A multi-objective design tool for decarbonising buildings at the concept stage Available to Purchase
Daniel Chauhan, MEng (Hons), CEng, MICE
;
Daniel Chauhan, MEng (Hons), CEng, MICE
WSP, Cambridge, UK; Institute of Structural Engineers – Digital Workflows and Computational Design Panel (corresponding author: daniel.chauhan@wsp.com)
Search for other works by this author on:
Shane Orme, MEng, MSc, LCIBSE
;
Shane Orme, MEng, MSc, LCIBSE
WSP, London, UK
Search for other works by this author on:
Zachariah Wynne, MEng, PhD
;
Zachariah Wynne, MEng, PhD
WSP, Cambridge, UK
Search for other works by this author on:
Alex Black-Roberts
;
Alex Black-Roberts
WSP, London, UK; Council on Tall Buildings and Urban Habitat Future Leaders Committee
Search for other works by this author on:
Diego Padilla Philipps
Diego Padilla Philipps
WSP, London, UK
Search for other works by this author on:
Publisher: Emerald Publishing
Received:
January 30 2023
Accepted:
August 09 2023
Online ISSN: 1755-0785
Print ISSN: 1755-0777
Emerald Publishing Limited: All rights reserved
2023
Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics (2023) 176 (2): 84–102.
Article history
Received:
January 30 2023
Accepted:
August 09 2023
Citation
Chauhan D, Orme S, Gugliotta S, Wynne Z, Black-Roberts A, Philipps DP (2023), "A multi-objective design tool for decarbonising buildings at the concept stage". Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, Vol. 176 No. 2 pp. 84–102, doi: https://doi.org/10.1680/jencm.23.00005
Download citation file:
Suggested Reading
Predicting soil stress–strain behaviour with bidirectional long short-term memory networks
Machine Learning and Data Science in Geotechnics (May,2025)
Harnessing fourth industrial revolution (4IR) technologies for sustainable development in Africa: a meta-analysis
Technological Sustainability (March,2023)
Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete grey model
Marine Economics and Management (May,2024)
Proposal of a framework to enhance the adoption of artificial intelligence in higher education considering sustainable development: a hybrid Lawshe-TOPSIS approach
International Journal of Educational Management (December,2025)
Synergistic effect of green knowledge sharing and green creative climate for circular economy practices: role of artificial intelligence information quality
Journal of Manufacturing Technology Management (March,2025)
Related Chapters
Trade-Off and Opportunity Cost of the Artificial Intelligence in the Architecture–Engineering–Construction Industry: Perspectives from Sustainability and Sustainable Development
Artificial Intelligence in Agriculture and Environmental Sustainability: A Global Perspective
Sustainable Tourism Development Through Artificial Intelligence
The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Unlocking the Potential: Artificial Intelligence Applications in Sustainable Tourism
The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
