Open Street Map? Where to start

[Elgenied]

Dear Openmod community
Greetings !

I’ve recently began my PhD program which will be on local decarbonization pathways for cities and municipalities. my research should contain a lot of spatial data analysis ( local network / gas infrastructure , building stock, etc. )

However, I find it a bit confusing since I have little/no previous Python or coding experience. So what I’m asking is that if there is useful resources for energy systems spatial analysis ? In particular I’m interested in learning Open Street map OSM , Would be great if you shared some useful materials !

Another question is what, which is the most suitable modelling framework for urban settings? I know Calliope has been used in similar district/city scale analysis. Do you recommend one or two models worth exploring as well?

Thanks all !

[robbie.morrison]

Hi @Elgenied

Here are two aging reviews that might yield some clues:

• Mirakyan, Atom and Roland De Guio (1 June 2013). “Integrated energy planning in cities and territories: a review of methods and tools”. Renewable and Sustainable Energy Reviews. 22: 289–297. ISSN 1364-0321. doi:10.1016/j.rser.2013.01.033. Closed access.

• Reinhart, Christoph F and Carlos Cerezo Davila (15 February 2016). “Urban building energy modeling — A review of a nascent field”. Building and Environment. 97: 196–202. ISSN 0360-1323. doi:10.1016/j.buildenv.2015.12.001.

The ETEM framework is directed toward municipal applications (but I do not know anything more than that written on wikipedia):

• https://en.wikipedia.org/wiki/Open_energy_system_models#ETEM

OSeMOSYS has been applied to urban contexts too:

• Leibowicz, Benjamin D, Christopher M Lanham, Max T Brozynski, José R Vázquez-Canteli, Nicolás Castillo Castejón, and Zoltan Nagy (15 November 2018). “Optimal decarbonization pathways for urban residential building energy services”. Applied Energy. 230: 1311–1325. ISSN 0306-2619. doi:10.1016/j.apenergy.2018.09.046.

Some possibly related publications:

• Guo, Siyue, Da Yan, Shan Hu, and Jingjing An (1 November 2020). “Global comparison of building energy use data within the context of climate change”. Energy and Buildings. 226: 110362. ISSN 0378-7788. doi:10.1016/j.enbuild.2020.110362.

• Westermann, Paul, Matthius Welzel, and Ralph Evins (4 December 2020). Linking climate with building energy performance through surrogate models. British Columbia, Canada: Energy in Cities group, Department of Civil Engineering, University of Victoria.

There is also some very recent work on classifying and characterizing buildings in Germany by some of the research institutes. Perhaps others on this forum will know more?

Some information on Open Street Map:

• InfosReseaux (26 November 2018). Mapping infrastructure worldwide with OpenStreetMap. OpenStreetMap.

• OpenStreetMap (ongoing). Power — OpenStreetMap Wiki. OpenStreetMap.

• Pluta, Adam and Ontje Lünsdorf (1 September 2020). “esy-osmfilter – a Python library to efficiently extract OpenStreetMap data”. Journal of Open Research Software. 8 (1): 19. ISSN 2049-9647. doi:10.5334/jors.317. CC‑BY‑4.0 license.

Finally, a couple of publications to provide historical context — the deeco framework was initially designed to investigate cost‑optimal carbon reductions in municipal systems:

• Bruckner, Thomas, Helmuth-M Groscurth, and Reiner Kümmel (1997). “Competition and synergy between energy technologies in municipal energy systems”. Energy. 22 (10): 1005–1014. ISSN 0360-5442. doi:10.1016/S0360-5442(97)00037-6.

• Lindenberger, Dietmar, Thomas Bruckner, Helmuth-M Groscurth, and Reiner Kümmel (2000). “Optimization of solar district heating systems: seasonal storage, heat pumps, and cogeneration”. Energy. 25 (7): 591–608. doi:10.1016/S0360-5442(99)00082-1.

Not sure I have done anything to reduce your confusion though! The frameworks mentioned here are not intended to constitute recommendations. Good luck. R