A Method for the Automated Construction of 3D Models of Cities and Neighborhoods from Official Cadaster Data for Solar Analysis
Autor: | Marta Monzón-Chavarrías, Belinda López-Mesa, Carlos Beltran-Velamazan |
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Rok vydání: | 2021 |
Předmět: |
3D city models
Computer science Modelado tridimensional 020209 energy Cadastre AutoLISP algorithm 2106.01 Energía Solar Geography Planning and Development TJ807-830 3d model 02 engineering and technology Pedestrian 1203.09 Diseño Con Ayuda del Ordenador 010501 environmental sciences Management Monitoring Policy and Law TD194-195 Time saving 01 natural sciences Renewable energy sources Urbanismo Energía solar city 3D models GIS cadaster data rooftop solar potential pedestrian areas solar access 0202 electrical engineering electronic engineering information engineering GE1-350 1203.26 Simulación 0105 earth and related environmental sciences Sistema de Información Geográfica (GIS) Environmental effects of industries and plants Energía solar fotovoltáica Renewable Energy Sustainability and the Environment Elevation Solar potential 3322.05 Fuentes no Convencionales de Energía INSPIRE cadaster Environmental sciences Solar access Placas fotovoltaicas Información catastral 5404.01 Geografía Urbana 2505.08 Geografía Topográfica Cartography |
Zdroj: | Sustainability, Vol 13, Iss 6028, p 6028 (2021) Sustainability Volume 13 Issue 11 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su13116028 |
Popis: | 3D city models are a useful tool to analyze the solar potential of neighborhoods and cities. These models are built from buildings footprints and elevation measurements. Footprints are widely available, but elevation datasets remain expensive and time-consuming to acquire. Our hypothesis is that the GIS cadastral data can be used to build a 3D model automatically, so that generating complete cities 3D models can be done in a short time with already available data. We propose a method for the automatic construction of 3D models of cities and neighborhoods from 2D cadastral data and study their usefulness for solar analysis by comparing the results with those from a hand-built model. The results show that the accuracy in evaluating solar access on pedestrian areas and solar potential on rooftops with the automatic method is close to that from the hand-built model with slight differences of 3.4% and 2.2%, respectively. On the other hand, time saving with the automatic models is significant. A neighborhood of 400,000 m2 can be built up in 30 min, 50 times faster than by hand, and an entire city of 967 km2 can be built in 8.5 h. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
Databáze: | OpenAIRE |
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