A Digital Twin Framework for Predictive Maintenace Systems Promoting Net Zero Principles
  • Metaadatok
Tartalom: http://hdl.handle.net/10890/57762
Archívum: Műegyetem Digitális Archívum
Gyűjtemény: 1. Tudományos közlemények, publikációk
Konferenciák gyűjteményei
Creative Construction Conference
Creative Construction Conference, 2024
Cím:
A Digital Twin Framework for Predictive Maintenace Systems Promoting Net Zero Principles
Létrehozó:
Sheenan, Scott
Elghaish, Faris
Brooks, Tara
Dátum:
2024-10-07T09:10:10Z
2024-10-07T09:10:10Z
2024
Tartalmi leírás:
Digital Twins (DT) have become valuable tools of industry 4.0 architectures, providing a cyber-physical link of the increasingly complex systems found in modern society. This link has proven useful in modern manufacturing and distribution methods, enabling instantaneous monitoring and optimization of processes. A key benefit of synchronous monitoring and management of systems is the resultant reduction of carbon emissions. It is expected that the gains attained in other industries through DT use can be applied to the Built Environment (BE), transforming the sector, and building on the foundations laid by Building Information Modelling (BIM). Facility Management (FM) is of interest for DT application due to the complexity of modern FM systems and increasing pressures for improved energy efficiency of assets. Current trends in research highlight the following challenges: Anomaly detection, limited scope, integration of artificial intelligence (AI), standardisation, and practical application. AI offers the possibility to automate the detection and management of anomalies within building systems, enabling automated decision-making. If DTs are to contribute to improved energy efficiency; the building blocks of the Twin must be targeted towards promoting Net Zero principles. This paper posits that DTs should be created towards specific objectives, and that if done correctly these will transfer from the cyber to physical system. This paper presents a conceptual framework for a Net Zero DT based automated decision-making system. The benefits and challenges of BE DTs and the value of specific needs generation were explored through bibliographic literature review, resulting in creation of a novel Net Zero predictive maintenance framework. Key findings include a novel framework, insights into Net Zero DT principles, and key challenges faced by these systems. These new findings contribute to knowledge of the field by providing a basis for efficient DT design, laying a path towards a more sustainable BE.
Nyelv:
angol
Típus:
könyvfejezet
Formátum:
application/pdf
Azonosító: