Paper Conference

Proceedings of eSim 2020: 11th Conference of IBPSA-Canada

     

Linked Data Framework for Urban and National Scale Building Energy Modelling

James Allan, Leonie Fierz, Andrew Bollinger, Kristina Orehounig
Empa, Switzerland

Abstract: This paper details the Urban Energy Simulation (UES) ontology, which is designed to facilitate the handling and organisation of heterogeneous data used in urban building energy modelling projects. The UES ontology has been integrated into an existing urban energy modelling platform and contains a standardised vocabulary that aims to overcome challenges of data availability, accuracy and traceability that are commonly encountered in urban scale building energy modelling. This paper reviews the existing data models, formats and modelling tools before detailing the UES ontology and giving examples of its use.
Paper:
esim2020_1148