Articles | Volume 54
https://doi.org/10.5194/adgeo-54-179-2020
https://doi.org/10.5194/adgeo-54-179-2020
10 Dec 2020
 | 10 Dec 2020

A framework for regional smart energy planning using volunteered geographic information

Javier Valdes, Sebastian Wöllmann, Andreas Weber, Grégoire Klaus, Christina Sigl, Matthias Prem, Robert Bauer, and Roland Zink

Viewed

Total article views: 2,296 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,964 307 25 2,296 38 24
  • HTML: 1,964
  • PDF: 307
  • XML: 25
  • Total: 2,296
  • BibTeX: 38
  • EndNote: 24
Views and downloads (calculated since 10 Dec 2020)
Cumulative views and downloads (calculated since 10 Dec 2020)

Viewed (geographical distribution)

Total article views: 2,297 (including HTML, PDF, and XML) Thereof 2,295 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
This study presents a framework for regional smart energy planning for the optimal location and sizing of small hybrid systems. By using an optimization model – in combination with weather data – various local energy systems are simulated using the Calliope and PyPSA energy system simulation tools. The optimization and simulation models are fed with GIS data from different volunteered geographic information projects, including OpenStreetMap.