OntoPowSys: A power system ontology for cross domain interactions in an eco industrial park

Autor: Aravind Devanand, Y. S. Foo Eddy, Gourab Karmakar, Remy Rigo-Mariani, Markus Kraft, Nenad Krdzavac, Iftekhar A. Karimi
Přispěvatelé: Cambridge Centre for Advanced Research and Education in Singapore, Laboratoire de Génie Electrique de Grenoble (G2ELab ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Nanyang Technological University [Singapour], Department of Chemical Engineering - University of Cambridge, University of Cambridge [UK] (CAM)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Computer science
020209 energy
Bio-diesel plant
02 engineering and technology
Ontology (information science)
computer.software_genre
Domain (software engineering)
Knowledge base
020401 chemical engineering
Description logic
Artificial Intelligence
0202 electrical engineering
electronic engineering
information engineering
Eco-industrial park
0204 chemical engineering
Engineering (miscellaneous)
ComputingMilieux_MISCELLANEOUS
computer.programming_language
Knowledge graph
lcsh:Computer software
Syntax (programming languages)
business.industry
[SPI.NRJ]Engineering Sciences [physics]/Electric power
Web Ontology Language
Eco-Industrial Park
Industry 4.0
General Energy
lcsh:QA76.75-76.765
Management system
lcsh:Electrical engineering. Electronics. Nuclear engineering
Web service
Software engineering
business
computer
lcsh:TK1-9971
Zdroj: Energy and AI, Vol 1, Iss, Pp 100008-(2020)
Energy and AI
Energy and AI, 2020, 1, pp.100008. ⟨10.1016/j.egyai.2020.100008⟩
ISSN: 2666-5468
DOI: 10.1016/j.egyai.2020.100008⟩
Popis: Knowledge management in multi-domain, heterogeneous industrial networks like an Eco-Industrial Park (EIP) is a challenging task. In this paper, an ontology-based management system has been proposed for addressing this challenge. It focuses on the power systems domain and provides a framework for integrating this knowledge with the other domains of an EIP. The proposed ontology, OntoPowSys is expressed using a Description Logics (DL) syntax and the OWL2 language was used to make it alive. It is then used as a part of the Knowledge Management System (KMS) in a virtual EIP called the J-Park Simulator (JPS). The advantages of the proposed approach are demonstrated by conducting two case studies on the JPS. The first case study illustrates the application of optimal power flow (OPF) in the electrical network of the JPS. The second case study plays an important role in understanding the cross-domain interactions between the chemical and electrical engineering domains in a bio-diesel plant of the JPS. These case studies are available as web services on the JPS website. The results showcase the advantages of using ontologies in the development of decision support tools. These tools are capable of taking into account contextual information on top of data during their decision-making processes. They are also able to exchange knowledge across different domains without the need for a communication interface.
Databáze: OpenAIRE
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