6533b838fe1ef96bd12a389a

RESEARCH PRODUCT

Investigating Potential Alignments between Modelica Standard Library and SAREF Ontologies

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International audience; Simulation tools based on the Modelica language provide comprehensive modelling and simulation approaches for building energy systems. However, the simulation and optimisation of such systems are data-driven processes, lacking a common understanding of information structure within the process. This paper investigates the possible semantic alignments of the Smart Appliances REFerence (SAREF) ontology and its extension for building domain, SAREF4BLDG, with the Modelica Standard Library (MSL). Using the MSL, a residential heating system has been modelled in OpenModelica, an open-source modelling and simulation environment. Then, SAREF and its extension SAREF4BLDG semantic alignments to the MSL used to create the model have been assessed. A list of alignments has been proposed to expose semantic links for the residential Heating, Ventilation, and Air Conditioning (HVAC) system. Such alignments would allow for the semantic annotation of building energy system models and greater interoperability between modelling environments.