Abstract
Abstract. An important prerequisite for the simulation-based assessment of energy systems at urban scale is the availability of high-quality, well-formatted and semantically structured data. Unfortunately, best practices and state-of-the-art approaches for urban data modelling are hardly applied in the context of energy-related simulations, such that data management and data access often become tedious and cumbersome tasks. This paper presents the so-called Simulation Package, i.e., a data model extending the 3D City Database for CityGML, and its derived data access layer, both aiming to bridge this gap between semantic 3D city modelling and simulation in the context of urban energy systems. The feasibility of this approach is demonstrated with the help of a concrete example, where the proposed extension has been implemented and integrated into a simulation toolchain. The aim is that the availability of a common, shared data model and the proof-of-concept implementation will contribute and foster adoption and further improvement in the future.
Highlights
AND MOTIVATIONConsidering urban energy systems as complex multi-network structures rather than the more classical silo-like approach of separated energy vectors has become widely accepted in the scientific literature
We provide a concrete example for the application of the Simulation Package presented in the previous section, demonstrating how the data model can be applied to a specific co-simulation tool
The goal is to bridge the gap between semantic 3D city models based on CityGML and technical assessments of multidomain urban energy systems based on co-simulation
Summary
Considering urban energy systems as complex multi-network structures rather than the more classical silo-like approach of separated energy vectors has become widely accepted in the scientific literature. Finding a viable compromise between integrating the wanted level of detail in the modelling process – in order to consider critical operational constraints – and ensuring an acceptable computation time is one of the biggest challenges in urban energy systems simulation (Van Beuzekom et al, 2015). It requires competence over multiple domains like natural gas distribution, medium- and low-voltage power grid regulation or district heating systems operation. Linking the co-simulation graph and its nodes to a fully semantic city model allows to exploit integrated information about most of the significant city objects and can be used as as safeguard for cosimulation graph creation avoiding incorrect links
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
