SFOE-funded project WindSPORES: Policy-relevant wind power deployment scenarios for Switzerland.

This repository contains the workflow to process data for the first half of the project: the analysis of wind data in Switzerland. The philosophy behind this repository is that no intermediary results are included, but all results are computed from raw data and code.

The repository relies on the solar-and-wind-potentials submodule. Use this command to clone including the submodule:

git clone --recurse-submodules [email protected]:brynpickering/wind-spores.git

Or, if you have already cloned the repository, first run:

git submodule update --init --recursive

You need conda to run the analysis. Using conda, you can create a conda environment from within you can run it:

conda env create -f environment.yaml

You will need some intermediate data to complete parts of the workflow, where access to this data via an online API is difficult or impossible. You will need to prepare this data yourself before initiating the analysis.

1. COSMO-REA2 wind speed log law coefficients. The coefficients "A" and "z" which describe the relationship between vertical height above ground and wind speed at every COSMO-REA2 gridcell, based on the equation speed = A log(height) - A log(z). For an example of the code to derive these coefficients, see the script log_law_coefficients.py where we undertake the proess for the NEWA dataset. The data should be split into one file per year and placed in data/cosmo_rea2_A_Z/{year}.nc.

2. Measured hourly turbine electricity generation data, for comparison with simulated data. This data is provided to us under a restricted license, so we cannot include it directly in this repository, nor can we host it elsewhere online. If you provide your own data, it should be a netcdf with turbine/farm site name as the data variables, and datetime (e.g. YYYY-mm-DD HH:MM) and height (hub height) as the data dimensions. To be placed in data/turbine_power_output_update_for_windspores.nc.

3. EU-DEM slope data. "Full European Coverage" raster to be placed in .data/eudem_slop_3035_europe.tif.

Futhermore, there are two files needed by the solar-and-wind-potentials submodule (European Settlement Map 2012, Release 2017, 100m & World Exclusive Economic Zones v10) which should be placed in the data directory of the this workflow (i.e., not in the submodule data directory). Details on the data sources can be found in the submodule README. The capacity factor data referenced in that README is not necessary to run this workflow.

snakemake --configfile config/full.yaml --use-conda

This will run all analysis steps to reproduce results and figures used in reporting.

You can also run certain parts only by using other snakemake rules; to get a list of all rules run snakemake --list.

To generate a PDF of the dependency graph of all steps, and if you have dot installed, run:

snakemake --rulegraph | dot -Tpdf > dag.pdf

As the execution of this workflow may take a while, you can be notified whenever the execution terminates either successfully or unsuccessfully. Notifications are sent by email. To activate notifications, add the email address of the recipient to the configuration key email. You can add the key to your configuration file, or you can run the workflow the following way to receive notifications:

  snakemake --use-conda --config email=<your-email>

• scripts: contains the Python source code as scripts
• rules: contains Snakemake rule definitions
• envs: contains execution environments
• config: configurations used in the study
• data: place for raw data
• build: will contain all results (does not exist initially)

The code in this repo is MIT licensed, see ./LICENSE.md.