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CIB Conferences

Abstract

This research presents a groundbreaking automated workflow for lifecycle carbon emissions assessment, seamlessly integrating Building Information Modeling (BIM), Geographic Information Systems (GIS), and Internet of Things (IoT) data into a unified framework. Addressing the complexities of carbon management in the construction sector, the workflow leverages Python to automate the Extract-Transform-Load (ETL) process and Neo4j for dynamic visualization and analysis. By streamlining data processing, the methodology achieves up to 80% reduction in processing time compared to traditional methods, significantly enhancing accuracy and efficiency. A case study at NTU campus validates the workflow's robustness and practical utility, identifying critical emission hotspots and enabling targeted sustainability interventions. The system surpasses BS EN 15978 standard requirements by providing real-time, scalable insights into carbon management across embodied, operational, and end-of-life stages. Its adaptability and replicability make it a valuable tool for institutions seeking to enhance sustainability practices. This innovative automation integration and data-driven analysis establishes a new benchmark for lifecycle carbon assessment, contributing to global efforts toward carbon neutrality in the built environment.

The paper will be presented:

In-person

Primary U.N. Sustainable Development Goals (SDG)

Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

Secondary U.N. Sustainable Development Goals (SDG)

Sustainable Cities and Communities - - Make cities and human settlements inclusive, safe, resilient and sustainable

Primary CIB Task Group OR Working commission

W078 – Information Technology for Construction

Secondary CIB Task Group OR Working commission

W116 – Smart and Sustainable Built Environments

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