Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review

Z Liu, X Zhang, Y Sun, Y Zhou - Energy and Buildings, 2023 - Elsevier
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …

[HTML][HTML] The advance of digital twin for predictive maintenance: The role and function of machine learning

C Chen, H Fu, Y Zheng, F Tao, Y Liu - Journal of Manufacturing Systems, 2023 - Elsevier
The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

Digital twin enabled real-time advanced control of TBM operation using deep learning methods

L Zhang, J Guo, X Fu, RLK Tiong, P Zhang - Automation in Construction, 2024 - Elsevier
This paper establishes a digital twin (DT) enabled model that aims to achieve real-time
monitoring and control to enhance the overall performance of tunnel boring machines (TBM) …

[HTML][HTML] Ontologies in digital twins: A systematic literature review

E Karabulut, SF Pileggi, P Groth, V Degeler - Future Generation Computer …, 2023 - Elsevier
Digital Twins (DT) facilitate monitoring and reasoning processes in cyber–physical systems.
They have progressively gained popularity over the past years because of intense research …

Developing an integrative framework for digital twin applications in the building construction industry: A systematic literature review

W Long, Z Bao, K Chen, ST Ng, IY Wuni - Advanced Engineering …, 2024 - Elsevier
In response to the global advocacy for digitalization, numerous industrial sectors are actively
advancing the implementation of digital twins (DTs). However, the construction industry has …

Digital twin for fault detection and diagnosis of building operations: a systematic review

F Hodavand, IJ Ramaji, N Sadeghi - Buildings, 2023 - mdpi.com
Intelligence in Industry 4.0 has led to the development of smart buildings with various control
systems for data collection, efficient optimization, and fault detection and diagnosis (FDD) …

Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations

J Koo, S Yoon - Advanced Engineering Informatics, 2024 - Elsevier
Digital twin-enabled building operations heavily rely on a building sensor network to collect
operational data. Virtual sensing, in combination with physical sensors, has great potential …

Strategies for sensor virtual in-situ calibration in building energy system: Sensor evaluation and data-driven based methods

J Li, P Wang, X Han, T Zhao, S Yoon - Energy and Buildings, 2023 - Elsevier
Sensor errors greatly affect the optimal control, safe operation, and energy efficiency of the
building energy system. The sensor virtual in-situ calibration (VIC) method based on …

Integration of digital twin and circular economy in the construction industry

X Meng, S Das, J Meng - Sustainability, 2023 - mdpi.com
As a major industry sector, construction is gradually transitioning from the linear economy to
the circular economy. Due to various barriers or challenges, the circular economy within …

Developing a skilled workforce for future industry demand: The potential of digital twin-based teaching and learning practices in engineering education

MA Hazrat, NMS Hassan, AA Chowdhury, MG Rasul… - Sustainability, 2023 - mdpi.com
Engineering education providers should foresee the potential of digital transformation of
teaching and skill-developing activities so that graduating engineers can find themselves …