Abstract Building Energy Modeling (BEM) has wide application in building design and
operation stages. Developing BEM requires numerous data from multiple sources, and
therefore is time consuming and expertise demanding. Building Information Modeling can
provide information needed for BEM, but a seamless transfer of BIM to BEM is not available
yet. This study proposes an ontology-based automatic framework aimed at integrating
multiple data sources and automatically generating BEM models, in which the ontology …

Buildings account for a large proportion of energy consumption, and improving building
energy efficiency during the operation phase has attracted increasing research attention to
achieve the carbon neutrality goal. Building energy simulation is a powerful tool to predict
and manage building energy performance during the operation phase. Decision making can
be informed by timely and reliable simulation results. However, building energy simulation
requires various data and information including building geometries, thermal properties of …