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Main Authors: Zhang, Shiliang, Maharjan, Sabita
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2512.06459
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author Zhang, Shiliang
Maharjan, Sabita
author_facet Zhang, Shiliang
Maharjan, Sabita
contents The efficient management and planning of urban energy systems require integrated three-dimensional (3D) models that accurately represent both consumption nodes and distribution networks. This paper introduces our developed geospatial Application Programming Interface (API) that automates the generation of 3D urban digital model from open data. The API synthesizes data from OpenTopography, OpenStreetMap, and Overture Maps in generating 3D models. The rendered model visualizes and contextualizes power grid infrastructure alongside the built environment and transportation networks. The API provides interactive figures for the 3D models, which are essential for analyzing infrastructure alignment and spatially linking energy demand nodes (buildings) with energy supply (utility grids). Our API leverages standard Web Mercator coordinates (EPSG:3857) and JSON serialization to ensure interoperability within smart city and energy simulation platforms.
format Preprint
id arxiv_https___arxiv_org_abs_2512_06459
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Cenergy3: An API for City Energy 3D Modeling
Zhang, Shiliang
Maharjan, Sabita
Human-Computer Interaction
The efficient management and planning of urban energy systems require integrated three-dimensional (3D) models that accurately represent both consumption nodes and distribution networks. This paper introduces our developed geospatial Application Programming Interface (API) that automates the generation of 3D urban digital model from open data. The API synthesizes data from OpenTopography, OpenStreetMap, and Overture Maps in generating 3D models. The rendered model visualizes and contextualizes power grid infrastructure alongside the built environment and transportation networks. The API provides interactive figures for the 3D models, which are essential for analyzing infrastructure alignment and spatially linking energy demand nodes (buildings) with energy supply (utility grids). Our API leverages standard Web Mercator coordinates (EPSG:3857) and JSON serialization to ensure interoperability within smart city and energy simulation platforms.
title Cenergy3: An API for City Energy 3D Modeling
topic Human-Computer Interaction
url https://arxiv.org/abs/2512.06459