Fnais, Abdulrahman, Ghoroghi, Ali, Rezgui, Yacine  ORCID: https://orcid.org/0000-0002-5711-8400, Beach, Thomas ORCID: https://orcid.org/0000-0001-5610-8027 and Petri, Ioan ORCID: https://orcid.org/0000-0002-1625-8247
2023.
SemanticLCA: A new generation of life cycle assessment methods applied to buildings.
Presented at: 2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference,
Nancy, France,
19-23 June 2022.
2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference.
IEEE,
10.1109/ICE/ITMC-IAMOT55089.2022.10033206
|
Abstract
This paper presents the outlines of a research project that aims to develop a semantic-based framework for delivering near real-time environmental footprint and informing effective operation and management strategies for the built environment. This paper argues that a semantic life cycle approach leveraging the value of real-time data can facilitate and enhance the accuracy of dynamic life cycle assessments. The methodology involves three distinct elements, namely semantics, dynamic data, and learning systems. Several use cases will be explored to validate the proposed methodology on real case studies. Following a review of related work, the methodology will be presented to explain the various components involved and the information exchange between different layers. The planned use case will be briefly introduced, followed by conclusion and future work.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Published Online |
| Status: | Published |
| Schools: | Engineering |
| Publisher: | IEEE |
| ISBN: | 978-1-6654-8817-4 |
| Last Modified: | 13 Mar 2023 12:00 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/157655 |
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