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Article: Domain ontology to integrate building-integrated photovoltaic, battery energy storage, and building energy flexibility information for explicable operation and maintenance

TitleDomain ontology to integrate building-integrated photovoltaic, battery energy storage, and building energy flexibility information for explicable operation and maintenance
Authors
KeywordsBattery energy storage systems
Building energy flexible control
Building-integrated photovoltaics
Data interoperability
Ontology
Operation and maintenance
Issue Date1-Apr-2025
PublisherElsevier
Citation
Computers in Industry, 2025, v. 166 How to Cite?
AbstractBuilding-integrated photovoltaics (BIPV) incorporated with battery energy storage (BES) and building energy flexibility (BEF) system is nowadays increasingly prevalent. During the operation and maintenance (O&M) of BIPV, BES, and BEF, various knowledge is contained and generated. This highlights information interaction among systems and the demand for incorporating diverse domain knowledge. However, these systems remain relatively isolated during O&M and suffer from inadequate machine-readable knowledge representation. In the era of semantic web technology, ontology-based methods are promising to integrate heterogeneous information. This study developed a domain ontology named “BIPV-BES-BEF” to integrate BIPV, BES, and BEF O&M information by enriching ontology semantics through relevant standards and leveraging existing ontology resources. In the process ontology construction, classes associated with BIPV, BES, and BEF were initially identified from relevant ontologies based on concepts in authorized codes. The classes with high cosine similarity within these recognized classes were subsequently integrated. Concepts and rules concerning the O&M of BIPV, BES, and BEF from relevant standards were then incorporated to the ontology and semantic web rules. The resulting ontology consists of a total of 2595 axioms and 649 classes, encompassing comprehensive concepts related to BIPV, BES, and BEF components, system specifics, assessment criteria, as well as O&M elements. The built ontology was assessed to be coherent and capable of reasoning through the built knowledge. This study contributes to an ontology purposing BIPV, BES, and BEF O&M, highlighting the potential of ontology-based approaches in BIPV, BES, and BEF data integration and knowledge inference.
Persistent Identifierhttp://hdl.handle.net/10722/362587
ISSN
2023 Impact Factor: 8.2
2023 SCImago Journal Rankings: 2.453

 

DC FieldValueLanguage
dc.contributor.authorYi, Xiaoyue-
dc.contributor.authorTang, Llewellyn-
dc.contributor.authorCheng, Reynold-
dc.contributor.authorYin, Mengtian-
dc.contributor.authorZheng, Yu-
dc.date.accessioned2025-09-26T00:36:18Z-
dc.date.available2025-09-26T00:36:18Z-
dc.date.issued2025-04-01-
dc.identifier.citationComputers in Industry, 2025, v. 166-
dc.identifier.issn0166-3615-
dc.identifier.urihttp://hdl.handle.net/10722/362587-
dc.description.abstractBuilding-integrated photovoltaics (BIPV) incorporated with battery energy storage (BES) and building energy flexibility (BEF) system is nowadays increasingly prevalent. During the operation and maintenance (O&M) of BIPV, BES, and BEF, various knowledge is contained and generated. This highlights information interaction among systems and the demand for incorporating diverse domain knowledge. However, these systems remain relatively isolated during O&M and suffer from inadequate machine-readable knowledge representation. In the era of semantic web technology, ontology-based methods are promising to integrate heterogeneous information. This study developed a domain ontology named “BIPV-BES-BEF” to integrate BIPV, BES, and BEF O&M information by enriching ontology semantics through relevant standards and leveraging existing ontology resources. In the process ontology construction, classes associated with BIPV, BES, and BEF were initially identified from relevant ontologies based on concepts in authorized codes. The classes with high cosine similarity within these recognized classes were subsequently integrated. Concepts and rules concerning the O&M of BIPV, BES, and BEF from relevant standards were then incorporated to the ontology and semantic web rules. The resulting ontology consists of a total of 2595 axioms and 649 classes, encompassing comprehensive concepts related to BIPV, BES, and BEF components, system specifics, assessment criteria, as well as O&M elements. The built ontology was assessed to be coherent and capable of reasoning through the built knowledge. This study contributes to an ontology purposing BIPV, BES, and BEF O&M, highlighting the potential of ontology-based approaches in BIPV, BES, and BEF data integration and knowledge inference.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofComputers in Industry-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBattery energy storage systems-
dc.subjectBuilding energy flexible control-
dc.subjectBuilding-integrated photovoltaics-
dc.subjectData interoperability-
dc.subjectOntology-
dc.subjectOperation and maintenance-
dc.titleDomain ontology to integrate building-integrated photovoltaic, battery energy storage, and building energy flexibility information for explicable operation and maintenance-
dc.typeArticle-
dc.identifier.doi10.1016/j.compind.2025.104250-
dc.identifier.scopuseid_2-s2.0-85215826267-
dc.identifier.volume166-
dc.identifier.eissn1872-6194-
dc.identifier.issnl0166-3615-

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