[HTML][HTML] Improving building occupant comfort through a digital twin approach: A Bayesian network model and predictive maintenance method
This study introduces a Bayesian network model to evaluate the comfort levels of occupants
of two non-residential Norwegian buildings based on data collected from satisfaction …
of two non-residential Norwegian buildings based on data collected from satisfaction …
[HTML][HTML] Dynamic energy management with thermal comfort forecasting
Reducing greenhouse gas emissions and energy cost in the building sector largely relies on
effective energy management. Yet, when it comes to heating or cooling, energy savings may …
effective energy management. Yet, when it comes to heating or cooling, energy savings may …
BIM–based time-varying system reliability analysis for buildings and infrastructures
In recent decades, building information modelling (BIM) technology has been rapidly
developed and applied widely in the building industry. Although BIM technology is crucial for …
developed and applied widely in the building industry. Although BIM technology is crucial for …
A Future Direction of Machine Learning for Building Energy Management: Interpretable Models
L Gugliermetti, F Cumo, S Agostinelli - Energies, 2024 - mdpi.com
Machine learning (ML) algorithms are now part of everyday life, as many technological
devices use these algorithms. The spectrum of uses is wide, but it is evident that ML …
devices use these algorithms. The spectrum of uses is wide, but it is evident that ML …
Recent advancements of human-centered design in building engineering: A comprehensive review
The prevailing impact of built environments on human well-being has long been a pivotal
point of interest, particularly within the domain of human-centered design (HCD) in building …
point of interest, particularly within the domain of human-centered design (HCD) in building …
IFC-enabled LCA for carbon assessment in pumped storage hydropower (PSH) with concrete face rockfill dams
S Zhang, S Zhang, Z Wu, X Wang, Z Jiang… - Automation in …, 2023 - Elsevier
The construction sector in China released 5.08 billion tons of CO 2 in 2020, which
accounted for 50.9% of national carbon emissions. With the establishment of a clean energy …
accounted for 50.9% of national carbon emissions. With the establishment of a clean energy …
[HTML][HTML] BIM-based parametric energy analysis of green building components for the roofs and facades
Buildings are distinguished by their high energy demand over their lifespan. Iimproving
energy efficiency in buildings necessitates mitigating the operation energy performance by …
energy efficiency in buildings necessitates mitigating the operation energy performance by …
From Building Information Model to Digital Twin: A Framework for Building Thermal Comfort Monitoring, Visualizing, and Assessment
The existing building stock is globally responsible for 17.5% of greenhouse gas emissions
due to their operation to achieve occupant satisfaction, thus requiring a vast intervention …
due to their operation to achieve occupant satisfaction, thus requiring a vast intervention …
[HTML][HTML] Sustainability Analysis of Environmental Comfort and Building Information Modeling in Buildings: State of the Art and Future Trends
Environmental comfort involves creating comfortable and healthy indoor environments,
taking into account the climate characteristics of the built environment. The novelty herein is …
taking into account the climate characteristics of the built environment. The novelty herein is …
[HTML][HTML] 3D reconstruction of semantic-rich digital twins for ACMV monitoring and anomaly detection via scan-to-BIM and time-series data integration
Current research in air-conditioning and mechanical ventilation (ACMV) operation focuses
on isolated sub-processes and analytical models. Digital twins, as digital replicas of assets …
on isolated sub-processes and analytical models. Digital twins, as digital replicas of assets …