Modelling Solar rooftop potential in Urban places?

[Elgenied]

Dear Oopenmod community,

I hope you are all doing great.

At the moment, I’m studying local area energy models, and I’m interested to get the potential of rooftop PV installtions at a given area.parameters like tilt angles of roofs, status of building and it’s suitability for PV installations, shadowing effects , and available surface area are my prime concern.

I’m wondering if there’s a python package perhaps that has his funcalities .it would also be appreciated it you recommended some geospatial tools that can be used in Urban energy modelling that are much granualr in spatial dimensions ( maybe at Zip code level or less)

Thank you in advance,

Elgenied

[robbie.morrison]

Some thoughts. On the technology side, try pvlib written in python:

• Topics tagged pvlib

Regarding data sources — and these are unfortunately oriented towards Germany and documented in German:

• Zentrale Stelle Hauskoordinaten, Hausumringe und 3D-Gebäudemodelle (ZSHH) (more here)

• Happ, Marina, Julia Wielgosch, and Alex Kalevi Dieke (December 2022). Open Data bei Katasterdaten: Status quo, gute Beispiele und Herausforderungen [Open Data in cadastral data: status quo, good examples and challenges] (in German). Bad Honnef, Germany: Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste (WIK) [Scientific Institute for Infrastructure and Communications Services]. (also covers PV potentials)

Somewhere in the middle is the European‑wide SLiCE model which supports building-integrated photovoltaics (BIPV) as well. See this recent openmod lightning talk (which will be uploaded to YouTube as soon as I get the okay from the presenter):

• openmod lightening talk on SLiCE

and also this literature:

• Röck, Martin, Alexander Passer, and Karen Allacker (forthcoming). “SLiCE: an open building data model for scaling high-definition …”. Life Cycle Engineering and Environmental Hotspot Analysis. (incomplete reference sorry)

• Röck, Martin, Elena Baldereschi, Evelien Verellen, Alexander Passer, Serenella Sala, and Karen Allacker (1 November 2021). “Environmental modelling of building stocks – An integrated review of life cycle-based assessment models to support EU policy making”. Renewable and Sustainable Energy Reviews. 151: 111550. ISSN 1364-0321. doi:10.1016/j.rser.2021.111550.

The plan is to release SLiCE under suitable open licensing sometime this year  — although that decision that rests with the European Commission however.

[sacha.hodencq]

Hello,

Some Jupyter notebooks that might be of interest for you:

• Notebook for the 2021 Building Simulation conference : PV self-consumption optimisation using MILP (OMEGAlpes modelling tool), including open data and associated metadata for the city of Grenoble (France)
• Energy systems optimisation models for Life Cycle Assessment : a dwelling photovoltaic system study case using NoLOAD : you can find a python module solarPV.py with equations including azimuth, … that are then used in an optimisation. The shadowing effects are not included though.

Associated literature :

• Open and Reproducible Use Cases for Energy (ORUCE) methodology in systems design and operation: a dwelling photovoltaic self-consumption example
• Irradiance forecast model for PV generation based on cloudiness web service

Another article on this topic, considering roofs and facades: Optimization of the integration of photovoltaic systems on buildings for self-consumption Case study in France

[FloKo]

Hi, you can also have a look at the python package open-mastr GitHub - OpenEnergyPlatform/open-MaStR: A collaborative software to download the energy database Marktstammdatenregister (MaStR)
The package handles the download of the German Core energy dataset where you get information for all 2.7 mio PV systems of germany together with location information, capacity, orientation, and tilt angle.

Admin note: “2.7 mio” translates as “2.7 million”.