Integrated representation of building service systems: topology extraction and TUBES ontology

Pauen, Nicolas Patrick Maria; Schlütter, Dominik; Siwiecki, Jaroslaw; Frisch, Jérôme; Treeck, Christoph Alban van

doi:10.1002/bapi.202000027

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…Those ontologies cover in a wider range the domains of automation, monitoring, and IoT. Further interesting vocabularies and ontologies for smart buildings are, among others, Project Haystack (Project Haystack 2022), Tubes (Pauen et al 2020), Real-EstateCore (Hammar et al 2019), and the BACS ontology (Terkaj et al 2017). Furthermore, some metadata schemas have specific scopes like, e.g., control ontology (CTRLont) (Schneider et al 2017) for control systems, and for smart grids, the IEC common information model (CIM), smart grid architecture model (SGAM), or facility smart grid information model (FSGIM) (Shafiullah et al 2017).…”

Section: Existing Schemasmentioning

confidence: 99%

Ontology-Based Expert System for Automated Monitoring of Building Energy Systems

Pruvost

Wilde

Enge-Rosenblatt

2023

J. Comput. Civ. Eng.

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Modern buildings have complex technical equipment that is hard to operate efficiently from a user's point of view. Users and building managers therefore need guidance in terms of finding the most efficient operational strategies and monitoring plans to avoid faults and energy wastes. Current support systems can do that, but they must usually be adapted to each building manually. In this study, an expert system is proposed that provides a complementary analysis layer with semantic modeling and knowledge reuse. During the configuration phase, the system starts from a semantic description of a building energy system to identify potential efficiency risks and automatically apply generic monitoring functions and rules for building operation. In the operational phase, it generates advices based on continuous real-time analysis of building operational data. The current implementation of the expert system in 14 buildings proved that the approach can allow for a deployment on a larger scale.

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Section: Existing Schemasmentioning

confidence: 99%

Ontology-Based Expert System for Automated Monitoring of Building Energy Systems

Pruvost

Wilde

Enge-Rosenblatt

2023

J. Comput. Civ. Eng.

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“…To improve data interoperability and flexible data exchange of the IFC model, Pauwels et al developed ifcOWL [78], which provides an OWL representation of the original EXPRESS language used to describe the IFC model. Tubes [79] is a lightweight ontology for providing a highlevel description of building service systems (e.g., ducts) and their topology extracted from an IFC model using linked data principles. Two other schemas proposed to make energy simulations more interoperable include the SimModel Ontology [80] and EnergyADE [81], an extension of the CityGML schema [112], to exchange energy simulation data and to store the corresponding results at the urban scale.…”

Section: Metadata Schemasmentioning

confidence: 99%

Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis

et al. 2021

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Digital and intelligent buildings are critical to realizing efficient building energy operations and a smart grid. With the increasing digitalization of processes throughout the life cycle of buildings, data exchanged between stakeholders and between building systems have grown significantly. However, a lack of semantic interoperability between data in different systems is still prevalent and hinders the development of energy-oriented applications that can be reused across buildings, limiting the scalability of innovative solutions. Addressing this challenge, our review paper systematically reviews metadata schemas and ontologies that are at the foundation of semantic interoperability necessary to move toward improved building energy operations. The review finds 40 schemas that span different phases of the building life cycle, most of which cover commercial building operations and, in particular, control and monitoring systems. The paper’s deeper review and analysis of five popular schemas identify several gaps in their ability to fully facilitate the work of a building modeler attempting to support three use cases: energy audits, automated fault detection and diagnosis, and optimal control. Our findings demonstrate that building modelers focused on energy use cases will find it difficult, labor intensive, and costly to create, sustain, and use semantic models with existing ontologies. This underscores the significant work still to be done to enable interoperable, usable, and maintainable building models. We make three recommendations for future work by the building modeling and energy communities: a centralized repository with a search engine for relevant schemas, the development of more use cases, and better harmonization and standardization of schemas in collaboration with industry to facilitate their adoption by stakeholders addressing varied energy-focused use cases.

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Integrated representation of technical systems with BIM and linked data: TUBES system ontology

Pauen,

Frisch,

van Treeck

2024

Automation in Construction

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Integrated representation of building service systems: topology extraction and TUBES ontology

Cited by 7 publications

References 7 publications

Ontology-Based Expert System for Automated Monitoring of Building Energy Systems

Ontology-Based Expert System for Automated Monitoring of Building Energy Systems

Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis

Integrated representation of technical systems with BIM and linked data: TUBES system ontology

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