A review of data-driven fault detection and diagnostics for building HVAC systems
With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
[HTML][HTML] Develo** energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation
This paper examines building energy flexibility at an aggregated level and addresses the
main barriers and research gaps for the development of this resource across three design …
main barriers and research gaps for the development of this resource across three design …
Ten questions concerning reinforcement learning for building energy management
As buildings account for approximately 40% of global energy consumption and associated
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …
Energy saving potential analysis applying factory scale energy audit–A case study of food production
An energy audit (EA) is a crucial step in boosting factory energy efficiency and obtaining
certification for cleaner manufacturing. The results of a preliminary energy audit carried out …
certification for cleaner manufacturing. The results of a preliminary energy audit carried out …
[HTML][HTML] A semantic ontology for representing and quantifying energy flexibility of buildings
Energy flexibility of buildings can be an essential resource for a sustainable and reliable
power grid with the growing variable renewable energy shares and the trend to electrify and …
power grid with the growing variable renewable energy shares and the trend to electrify and …
An overview of data tools for representing and managing building information and performance data
Building information modeling (BIM) has been widely adopted for representing and
exchanging building data across disciplines during building design and construction …
exchanging building data across disciplines during building design and construction …
[HTML][HTML] Digitalization of urban multi-energy systems–advances in digital twin applications across life-cycle phases
Urban multi-energy systems (UMES) incorporating distributed energy resources are vital to
future low-carbon energy systems. These systems demand complex solutions, including …
future low-carbon energy systems. These systems demand complex solutions, including …
[HTML][HTML] Live semantic data from building digital twins for robot navigation: Overview of data transfer methods
Increasing reliance on automation and robotization presents great opportunities to improve
the management of construction sites as well as existing buildings. Crucial in the use of …
the management of construction sites as well as existing buildings. Crucial in the use of …
[HTML][HTML] An ontology-based innovative energy modeling framework for scalable and adaptable building digital twins
Digitalization of buildings and the use of IoT sensing and metering devices are steadily
increasing, offering new opportunities for more autonomous, efficient, and flexible buildings …
increasing, offering new opportunities for more autonomous, efficient, and flexible buildings …
Integrated representation of technical systems with BIM and linked data: TUBES system ontology
Technical systems in the Architecture, Engineering, Construction, and Operations (AECO)
industry are complex interconnected structures. To cope with this high complexity, large …
industry are complex interconnected structures. To cope with this high complexity, large …