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A review of ontologies within the domain of smart and ongoing commissioning
Abstract Smart and ongoing commissioning (SOCx) of buildings can result in a significant reduction in the gap between design and operational performance. Ontologies play an important role in SOCx as they facilitate data readability and reasoning by machines. A better understanding of ontologies is required in order to develop and incorporate them in SOCx. This paper critically reviews the state-of-the-art research on building data ontologies since 2014 within the SOCx domain through sorting them based on building data types, general approaches, and applications. The data types of two main domains of building information modeling and building management system have been considered in the majority of existing ontologies. Three main applications are evident from a critical analysis of existing ontologies: (1) key performance indicator calculation, (2) building performance improvement, and (3) fault detection and diagnosis. The key gaps found in the literature review are a holistic ontology for SOCx and insight on how such approaches should be evaluated. Based on these findings, this study provides recommendations for future necessary research including: identification of SOCx-related data types, assessment of ontology performance, and creation of open-source approaches.
Highlights Ontologies within the SOCx domain since 2014 were critically reviewed. Two main domains considered in existing ontologies were BIM and BMS. Main applications were KPI calculation, building performance improvement, and FDD. There is a need for a holistic SOCx ontology. Future work should include SOCx data types, ontology evaluation, and open-source ontologies.
A review of ontologies within the domain of smart and ongoing commissioning
Abstract Smart and ongoing commissioning (SOCx) of buildings can result in a significant reduction in the gap between design and operational performance. Ontologies play an important role in SOCx as they facilitate data readability and reasoning by machines. A better understanding of ontologies is required in order to develop and incorporate them in SOCx. This paper critically reviews the state-of-the-art research on building data ontologies since 2014 within the SOCx domain through sorting them based on building data types, general approaches, and applications. The data types of two main domains of building information modeling and building management system have been considered in the majority of existing ontologies. Three main applications are evident from a critical analysis of existing ontologies: (1) key performance indicator calculation, (2) building performance improvement, and (3) fault detection and diagnosis. The key gaps found in the literature review are a holistic ontology for SOCx and insight on how such approaches should be evaluated. Based on these findings, this study provides recommendations for future necessary research including: identification of SOCx-related data types, assessment of ontology performance, and creation of open-source approaches.
Highlights Ontologies within the SOCx domain since 2014 were critically reviewed. Two main domains considered in existing ontologies were BIM and BMS. Main applications were KPI calculation, building performance improvement, and FDD. There is a need for a holistic SOCx ontology. Future work should include SOCx data types, ontology evaluation, and open-source ontologies.
A review of ontologies within the domain of smart and ongoing commissioning
Gilani, Sara (Autor:in) / Quinn, Caroline (Autor:in) / McArthur, J.J. (Autor:in)
Building and Environment ; 182
22.06.2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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