Towards intelligent thermal energy management of eco-industrial park through ontology-based approach

An ontology-based approach for thermal energy management of eco-industrial park is proposed in this paper. The ontology captures core concepts of this domain as well as the relationships between them; together with instances, the ontology can serve as knowledge base for related energy management too...

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Main Authors: Zhang, Chuan, Zhou, Li, Pan, Ming, Romagnoli, Alessandro, Kraft, Markus
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/80413
http://hdl.handle.net/10220/46502
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-804132023-03-04T17:14:01Z Towards intelligent thermal energy management of eco-industrial park through ontology-based approach Zhang, Chuan Zhou, Li Pan, Ming Romagnoli, Alessandro Kraft, Markus School of Chemical and Biomedical Engineering School of Mechanical and Aerospace Engineering Eco-industrial Park Thermal Energy Management DRNTU::Engineering::Mechanical engineering An ontology-based approach for thermal energy management of eco-industrial park is proposed in this paper. The ontology captures core concepts of this domain as well as the relationships between them; together with instances, the ontology can serve as knowledge base for related energy management tools. The development of this application ontology is based on existing knowledge base, e.g. OntoCAPE in this paper. The advantages of ontology-based approach are shown by an application case, the case shows how ontology can overcome data heterogeneity both structurally and semantically through its own reasoning ability, then allow intelligent decision making by using disparate data from remote databases, which implies the possibility of self-optimization without human intervention in the future scenario. With properly designed cyber-infrastructure systems, the prospective application of the ontology-based approach can unleash the potential of artificial intelligence for eco-industrial park thermal energy management in the future. NRF (Natl Research Foundation, S’pore) Published version 2018-11-01T03:22:03Z 2019-12-06T13:48:53Z 2018-11-01T03:22:03Z 2019-12-06T13:48:53Z 2017 Journal Article Zhang, C., Zhou, L., Pan, M., Romagnoli, A., & Kraft, M. (2017). Towards Intelligent Thermal Energy Management of Eco-industrial Park through Ontology-based Approach. Energy Procedia, 105, 3295-3300. doi:10.1016/j.egypro.2017.03.745 1876-6102 https://hdl.handle.net/10356/80413 http://hdl.handle.net/10220/46502 10.1016/j.egypro.2017.03.745 en Energy Procedia © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Eco-industrial Park
Thermal Energy Management
DRNTU::Engineering::Mechanical engineering
spellingShingle Eco-industrial Park
Thermal Energy Management
DRNTU::Engineering::Mechanical engineering
Zhang, Chuan
Zhou, Li
Pan, Ming
Romagnoli, Alessandro
Kraft, Markus
Towards intelligent thermal energy management of eco-industrial park through ontology-based approach
description An ontology-based approach for thermal energy management of eco-industrial park is proposed in this paper. The ontology captures core concepts of this domain as well as the relationships between them; together with instances, the ontology can serve as knowledge base for related energy management tools. The development of this application ontology is based on existing knowledge base, e.g. OntoCAPE in this paper. The advantages of ontology-based approach are shown by an application case, the case shows how ontology can overcome data heterogeneity both structurally and semantically through its own reasoning ability, then allow intelligent decision making by using disparate data from remote databases, which implies the possibility of self-optimization without human intervention in the future scenario. With properly designed cyber-infrastructure systems, the prospective application of the ontology-based approach can unleash the potential of artificial intelligence for eco-industrial park thermal energy management in the future.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Zhang, Chuan
Zhou, Li
Pan, Ming
Romagnoli, Alessandro
Kraft, Markus
format Article
author Zhang, Chuan
Zhou, Li
Pan, Ming
Romagnoli, Alessandro
Kraft, Markus
author_sort Zhang, Chuan
title Towards intelligent thermal energy management of eco-industrial park through ontology-based approach
title_short Towards intelligent thermal energy management of eco-industrial park through ontology-based approach
title_full Towards intelligent thermal energy management of eco-industrial park through ontology-based approach
title_fullStr Towards intelligent thermal energy management of eco-industrial park through ontology-based approach
title_full_unstemmed Towards intelligent thermal energy management of eco-industrial park through ontology-based approach
title_sort towards intelligent thermal energy management of eco-industrial park through ontology-based approach
publishDate 2018
url https://hdl.handle.net/10356/80413
http://hdl.handle.net/10220/46502
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