Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An ontology-based framework for automatic building energy modeling with thermal zoning
https://orcid.org/0000-0002-6739-7909
https://orcid.org/0000-0002-1722-2617
https://orcid.org/0000-0002-2231-1606
https://orcid.org/0000-0002-7179-9281
Highlights An ontology-based automatic building energy modeling (BEM) framework is developed. The proposed ontology model (OM) integrates four key domains for BEM. OM supports automatic thermal zoning by cross-domain reasoning. Dynamic data can be translated to BEM facilitated by OM. The OM to BEM approach saves model development time by 99%.
Abstract Building Energy Modeling (BEM) has wide application in building design and operation stages. Developing BEM requires numerous data from multiple sources, and therefore is time consuming and expertise demanding. Building Information Modeling can provide information needed for BEM, but a seamless transfer of BIM to BEM is not available yet. This study proposes an ontology-based automatic framework aimed at integrating multiple data sources and automatically generating BEM models, in which the ontology model could integrate data from weather, building, internal heat gain, and Heating, Ventilation, and Air Conditioning system. We developed a cross-domain and rule-based reasoning method for thermal zoning, and an automatic ontology model to BEM model translation method using instance-based mapping and dynamic data conversion. We demonstrated our approach by developing a BEM model for one floor of a campus building. The results showed that the proposed framework could automatically generate the model that has the potential to reduce the modeling time by over 99% comparing with manual modeling.
An ontology-based framework for automatic building energy modeling with thermal zoning
https://orcid.org/0000-0002-6739-7909
https://orcid.org/0000-0002-1722-2617
https://orcid.org/0000-0002-2231-1606
https://orcid.org/0000-0002-7179-9281
Highlights An ontology-based automatic building energy modeling (BEM) framework is developed. The proposed ontology model (OM) integrates four key domains for BEM. OM supports automatic thermal zoning by cross-domain reasoning. Dynamic data can be translated to BEM facilitated by OM. The OM to BEM approach saves model development time by 99%.
Abstract Building Energy Modeling (BEM) has wide application in building design and operation stages. Developing BEM requires numerous data from multiple sources, and therefore is time consuming and expertise demanding. Building Information Modeling can provide information needed for BEM, but a seamless transfer of BIM to BEM is not available yet. This study proposes an ontology-based automatic framework aimed at integrating multiple data sources and automatically generating BEM models, in which the ontology model could integrate data from weather, building, internal heat gain, and Heating, Ventilation, and Air Conditioning system. We developed a cross-domain and rule-based reasoning method for thermal zoning, and an automatic ontology model to BEM model translation method using instance-based mapping and dynamic data conversion. We demonstrated our approach by developing a BEM model for one floor of a campus building. The results showed that the proposed framework could automatically generate the model that has the potential to reduce the modeling time by over 99% comparing with manual modeling.
An ontology-based framework for automatic building energy modeling with thermal zoning
https://orcid.org/0000-0002-6739-7909
https://orcid.org/0000-0002-1722-2617
https://orcid.org/0000-0002-2231-1606
https://orcid.org/0000-0002-7179-9281
Highlights An ontology-based automatic building energy modeling (BEM) framework is developed. The proposed ontology model (OM) integrates four key domains for BEM. OM supports automatic thermal zoning by cross-domain reasoning. Dynamic data can be translated to BEM facilitated by OM. The OM to BEM approach saves model development time by 99%.
Abstract Building Energy Modeling (BEM) has wide application in building design and operation stages. Developing BEM requires numerous data from multiple sources, and therefore is time consuming and expertise demanding. Building Information Modeling can provide information needed for BEM, but a seamless transfer of BIM to BEM is not available yet. This study proposes an ontology-based automatic framework aimed at integrating multiple data sources and automatically generating BEM models, in which the ontology model could integrate data from weather, building, internal heat gain, and Heating, Ventilation, and Air Conditioning system. We developed a cross-domain and rule-based reasoning method for thermal zoning, and an automatic ontology model to BEM model translation method using instance-based mapping and dynamic data conversion. We demonstrated our approach by developing a BEM model for one floor of a campus building. The results showed that the proposed framework could automatically generate the model that has the potential to reduce the modeling time by over 99% comparing with manual modeling.
An ontology-based framework for automatic building energy modeling with thermal zoning
Wu, Zhaoji (Autor:in) / Cheng, Jack C.P. (Autor:in) / Wang, Zhe (Autor:in) / Kwok, Helen H.L. (Autor:in)
Energy and Buildings ; 296
12.06.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| Engineering Index Backfile | 1925
Ontology-Based Building Information Modeling
| British Library Conference Proceedings | 2013
Ontology-Based Building Information Modeling
| ASCE | 2013