Authors:
Tobias Linnenberg
1
;
Andreas W. Mueller
2
;
Lars Christiansen
1
;
Christian Seitz
2
and
Alexander Fay
1
Affiliations:
1
Helmut Schmidt University, Germany
;
2
Siemens AG, Germany
Keyword(s):
Energy Domain Knowledge, Energy Efficiency, Energy Conservation, Knowledge Acquisition, Energy Management, Ontology, Energy Engineering.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Domain Analysis and Modeling
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontology Sharing and Reuse
;
Symbolic Systems
Abstract:
To facilitate the automated evaluation of energy-efficiency aspects of a system in the early lifecycle phase of engineering, a consistent semantic definition of the relevant terminology as well as the interrelations between those terms is required. For this purpose, a lightweight ontology named OntoENERGY has been developed, which allows for continuous handling of energy-efficiency issues in technical systems throughout their entire lifecycle. To verify OntoENERGY, a simulation model based on a real test bed of an automated plant process was modeled, analyzed, and assessed, with a focus on energy consumption and the related information. This allows optimization potential to be identified and enables a direct assessment, with the aid of a simulation model.