2024 Joint Presentation

Understanding decision-making throughout the building lifecycle, the digital data required, and how emerging digital technologies are employed in the decision-making process is critical to achieve net-zero building outcomes. This paper presents findings from case studies of two net-zero carbon buildings, analysing key decision points and pathways incorporating real-time data and emerging digital technologies used across the building lifecycle. Evidence was gathered from multiple sources, followed by thematic analysis to generate key findings.

Ontology-based representation was developed to represent key findings, with the potential to evolve into an evidence-based information management framework integrating dynamic real-time data and digital twin models in the future. This approach serves as a foundational step toward informing the modelling and simulation of net-zero carbon buildings by identifying decision pathways and data needed. It also contributes to the development of integrated Digital Twin model leveraging big data and machine learning for achieving net-zero carbon buildings.