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AILab - Artificial Intelligence for Low Carbon Buildings

Research output: Contribution to conference - Without ISBN/ISSN Conference paper

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AILab - Artificial Intelligence for Low Carbon Buildings. / Fagan, Des.
2025. Paper presented at AI AND ARCHITECTURE SUMMIT 2025, Morecambe, United Kingdom.

Research output: Contribution to conference - Without ISBN/ISSN Conference paper

Harvard

Fagan, D 2025, 'AILab - Artificial Intelligence for Low Carbon Buildings', Paper presented at AI AND ARCHITECTURE SUMMIT 2025, Morecambe, United Kingdom, 31/01/25 - 1/03/25.

APA

Fagan, D. (2025). AILab - Artificial Intelligence for Low Carbon Buildings. Paper presented at AI AND ARCHITECTURE SUMMIT 2025, Morecambe, United Kingdom.

Vancouver

Fagan D. AILab - Artificial Intelligence for Low Carbon Buildings. 2025. Paper presented at AI AND ARCHITECTURE SUMMIT 2025, Morecambe, United Kingdom.

Author

Fagan, Des. / AILab - Artificial Intelligence for Low Carbon Buildings. Paper presented at AI AND ARCHITECTURE SUMMIT 2025, Morecambe, United Kingdom.

Bibtex

@conference{be49551a4680478ead56eb07b5ed0eda,
title = "AILab - Artificial Intelligence for Low Carbon Buildings",
abstract = "The AI:Lab asked: how do processes of Artificial Intelligence (AI) target the reduction of carbon expenditure in the design and construction of buildings, and what role do architects, engineers, our students and the public have in the process of de-carbonisation using new tools of AI?The built environment has a vital role to play in responding to the climate emergency - addressing upfront carbon is a critical and urgent focus. Buildings are currently responsible for 39% of global energy related carbon emissions: 28% from operational emissions with the remaining 11% from embodied carbon in materials and construction.Working with Grimshaw Architects, and with a focus on Morecambe Bay, our key objective was to establish the Ai:Lab as a vehicle to recognise the cross-disciplinary demands and opportunities of AI, to capture these at an early stage, and produce impactful research in communities and across the construction sector.The Lab ran during 2024, concluding with a symposium and exhibition on the use of AI in designing low carbon buildings. Four key areas of focus were established:1. LLM Workflow Integration with BIM for the Zero Carbon Standard2. Local Knowledge LLM Workflow Integration3. 3D Shape Generation Using Parsed Image Data4. Structural Shell Deflection Maps Generated with Linear Regression Models.",
keywords = "AiLab, Artificial Intelligence, Architecture, Low Carbon, Surrogate, LLM, Zero Carbon",
author = "Des Fagan",
year = "2025",
month = jan,
day = "31",
language = "English",
note = "AI AND ARCHITECTURE SUMMIT 2025 : SUSTAINABILITY ; Conference date: 31-01-2025 Through 01-03-2025",
url = "https://www.lancaster.ac.uk/arts-and-social-sciences/events/ai-and-architecture-summit-2025/#:~:text=Event%20Details&text=In%20partnership%20with%202024%20Stirling,st%20January%202025%2011.00%20%E2%80%93%2015.00.",

}

RIS

TY - CONF

T1 - AILab - Artificial Intelligence for Low Carbon Buildings

AU - Fagan, Des

PY - 2025/1/31

Y1 - 2025/1/31

N2 - The AI:Lab asked: how do processes of Artificial Intelligence (AI) target the reduction of carbon expenditure in the design and construction of buildings, and what role do architects, engineers, our students and the public have in the process of de-carbonisation using new tools of AI?The built environment has a vital role to play in responding to the climate emergency - addressing upfront carbon is a critical and urgent focus. Buildings are currently responsible for 39% of global energy related carbon emissions: 28% from operational emissions with the remaining 11% from embodied carbon in materials and construction.Working with Grimshaw Architects, and with a focus on Morecambe Bay, our key objective was to establish the Ai:Lab as a vehicle to recognise the cross-disciplinary demands and opportunities of AI, to capture these at an early stage, and produce impactful research in communities and across the construction sector.The Lab ran during 2024, concluding with a symposium and exhibition on the use of AI in designing low carbon buildings. Four key areas of focus were established:1. LLM Workflow Integration with BIM for the Zero Carbon Standard2. Local Knowledge LLM Workflow Integration3. 3D Shape Generation Using Parsed Image Data4. Structural Shell Deflection Maps Generated with Linear Regression Models.

AB - The AI:Lab asked: how do processes of Artificial Intelligence (AI) target the reduction of carbon expenditure in the design and construction of buildings, and what role do architects, engineers, our students and the public have in the process of de-carbonisation using new tools of AI?The built environment has a vital role to play in responding to the climate emergency - addressing upfront carbon is a critical and urgent focus. Buildings are currently responsible for 39% of global energy related carbon emissions: 28% from operational emissions with the remaining 11% from embodied carbon in materials and construction.Working with Grimshaw Architects, and with a focus on Morecambe Bay, our key objective was to establish the Ai:Lab as a vehicle to recognise the cross-disciplinary demands and opportunities of AI, to capture these at an early stage, and produce impactful research in communities and across the construction sector.The Lab ran during 2024, concluding with a symposium and exhibition on the use of AI in designing low carbon buildings. Four key areas of focus were established:1. LLM Workflow Integration with BIM for the Zero Carbon Standard2. Local Knowledge LLM Workflow Integration3. 3D Shape Generation Using Parsed Image Data4. Structural Shell Deflection Maps Generated with Linear Regression Models.

KW - AiLab

KW - Artificial Intelligence

KW - Architecture

KW - Low Carbon

KW - Surrogate

KW - LLM

KW - Zero Carbon

M3 - Conference paper

T2 - AI AND ARCHITECTURE SUMMIT 2025

Y2 - 31 January 2025 through 1 March 2025

ER -