Making Sence of Urban Energy Usage Using Semantic Digital Twins
There is great potential in urban energy modeling for mitigating the effects of increasing energy consumption in cities. However, there is limited integration of traditional building information and urban data in general.
Therefore, this project suggests a novel data integration structure, the Neighborhood Energy Ontology (NEO). This ontology aims to connect urban data from different domains and scales to provide more intelligible insight to the end user.
In order to assist with this goal, a dashboard was created which allows the end-user to interact with the data and come to new insights. It is suggested that the created ontology, in combination with the dashboard, is a suitable proof-of-concept to show how semantic solutions can aid in improving the potential of urban energy modeling to mitigate the adverse effects of increasing urbanization.
Keywords: Semantic digital twin, Linked Data, Urban energy usage, Neighborhood Energy Ontology, Dashboard
Project information
- Category Energy transition
- Author Ir. Sander de Meij
- Project date 09/2021 - 09/2023