Synthetic Distribution Grid Model for Eindhoven Neighborhoods
by Antoine Bidel / Technical University of Munich
Available on 1 platform
Sign in to view source links and access this dataset
Description
A 2021 synthetic model of the electricity distribution grid for five neighborhoods in Eindhoven, Netherlands, created by Antoine Bidel and Tom Schelo. The model covers areas including Schouwbroek, Philipsdorp, and Engelsbergen, with a total population of over 9,600 inhabitants. It is designed for use with the FLEDGE software package and is available via Zenodo and GitHub.
Use Cases
Simulating electricity load profiles based on residential and non-residential consumer models mentioned in the description
Analyzing grid stability and planning for distributed energy resources (DERs) integration as referenced in the file instructions
Conducting geospatial analysis of urban infrastructure using the provided polygon coordinates for the Eindhoven study area
Testing scenario-based grid operations by modifying the required 'scenario.csv' data file
Strengths
Includes a specific geographic boundary defined by a detailed polygon coordinate string
Covers five named neighborhoods with explicit population counts provided (e.g., 1530 inhabitants in Schouwbroek)
Associated with a specific software tool (FLEDGE v0.4.1) and has a documented DOI (10.5281/zenodo.4896047)
Limitations
Column-level documentation is absent; field semantics must be inferred after download
Row count is unknown, which may limit suitability assessment
Last update date is unknown; freshness unverified
Provenance
Source
Technical University of Munich (TUMCREATE-ESTL)
Collection Method
Synthetic model generation, likely for research and simulation purposes.
Time Range
2021
Geography
Portions of five neighborhoods (Schouwbroek, Philipsdorp, Eliasterrein-Vonderkwartier, Engelsbergen, Hagenkamp) in Eindhoven, Noord-Brabant, Netherlands, served by the Enexis distribution network.
Requires the FLEDGE software package for use; users must paste the provided folder and add scenario and model data as per instructions.