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

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Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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Electrical Engineering & Computer Sciences Department, University of California, Berkeley, CA 94720, USA
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National Renewable Energy Laboratory, Golden, CO 80401, USA
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Pacific Northwest National Laboratory, Richland, WA 99354, USA
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Building Automation and Control Systems Integration Group, Cornell University, Ithaca, NY 14850, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Álvaro Gutiérrez and Angelo Zarrella
Energies 2021, 14(7), 2024; https://doi.org/10.3390/en14072024
Received: 18 February 2021 / Revised: 19 March 2021 / Accepted: 2 April 2021 / Published: 6 April 2021
(This article belongs to the Special Issue Data Modeling and Analytics Applied to Buildings)
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. View Full-Text
Keywords: smart building; semantic model; ontology; metadata; energy audit; fault detection and diagnostics; optimal control smart building; semantic model; ontology; metadata; energy audit; fault detection and diagnostics; optimal control
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MDPI and ACS Style

Pritoni, M.; Paine, D.; Fierro, G.; Mosiman, C.; Poplawski, M.; Saha, A.; Bender, J.; Granderson, J. Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis. Energies 2021, 14, 2024. https://doi.org/10.3390/en14072024

AMA Style

Pritoni M, Paine D, Fierro G, Mosiman C, Poplawski M, Saha A, Bender J, Granderson J. Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis. Energies. 2021; 14(7):2024. https://doi.org/10.3390/en14072024

Chicago/Turabian Style

Pritoni, Marco; Paine, Drew; Fierro, Gabriel; Mosiman, Cory; Poplawski, Michael; Saha, Avijit; Bender, Joel; Granderson, Jessica. 2021. "Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis" Energies 14, no. 7: 2024. https://doi.org/10.3390/en14072024

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