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Right now, the module fills the missing information with random coordinates within the same country.
It occurred to me that we could ask the users to complete that information, the same way we ask them to do it with FLH values in the other script.
The user can Google the name of the power plant and figure out the exact location.
If that is not possible, then the script assigns the coordinates randomly.

So what I would like you to do is to add the user interface at the beginning of the section # COORDINATES.

for Europe_NUTS0_wo_Balkans

in the theory section

I identified the following dictionaries as candidates:
dict_season
dict_daytype
dict_countries
dist_ren / country_names
loadability

Some dictionaries and existing sheets are independent from the region that is modeled (Europe, California, ...), others are.
So we would need a column/filter "Region" in some sheets.

urbs_global should move from config to assumptions.xlsx
it should be read as a dataframe, and copied as it is.

When I tried to install the environment with the command conda env create -f gen_mod.yml, I get the following error:

And then when I want to run the script by python runme.py, the package osgeo cannot be found:

2nd column should be called "Process"

The outputs of the script "generate-timeseries" (other repository) should be used as an input here.
Particularly the csv files for different technologies and heights with all the quantiles, and the regression parameters. The user should be able to set his/her own coefficients.

The list does not appear properly in the PDF.

Shortcuts for license, contributors, black

Hi!

It would be nice to have a start from scratch README file.
I have already identified the necessary python packages:

• geopandas
• geopy
• numpy
• gdal
• pandas
• pysal
• scipy
• pyshp
• shapely

I can run the script but I miss all input data (shapefiles, rasters, csv, etc.). Do you have any clue how I could get a minimal working code on the time load series?

This should be a copy of the sheet in assumptions.xlsx.
We should remove the processes that do not appear in Process, and throw an error if a commodity is missing from Commodity.

It reaches 80% then saves the file. Why not 100%?

Please prepare the bullet points with the list of columns as I did for the first file.
Instead of typing the columns, you can copy them from the CSV file.
However, you will need to remove the tabs and add the quotation marks.

If you are unsure about the description, leave it empty.

and rename current module to: generate_elec_load

use function wherever possible (search for comment # Show status bar)

The sheet is created, but is not part of the final urbs model. This should be fixed. Maybe it has something to do with its name?

• add a progress bar instead of print(counter)
• print name of technology
• rethink the distribution function for biomass and hydro by expanding the tool with further data (advanced)

Time series for hydro + total hydro production needed
--> get the data from ENTSO-E
--> update generate_intermittent_supply
--> update generate_commodities

Such a map used to exist in previous versions of the code.
It is actually not necessary for the calculation, but could be useful for other purposes.

Read the time_series files that are generated by the tool renewable-timeseries,
edit them (filter technologies?),
save in the desired format.

Or:
edit the function in renewable-times and leave this one empty.

Or:
use this one to raise warnings if the files do not exist or not all the sites/technologies are available.

change "maxperstep" to "maxperhour"

@all-contributors please add @molarana for design

in order to read the excel files for the load profiles, for example.

Check why some lines have a capacity of 0

add some parameters to vary sectoral/total load in the future, compared to a reference year.

To construct a model, all sheets from urbs need to be present, even if they are empty (e.g. DSM). They have to have the same header.

Add column discharge

Right now, we read the existing processes from the FRESNA database.
I think we should be able to filter which ones we do not want to keep. For example using the dictionary that renames the processes in the beginning, we could use a dummy value "IGNORE", and then in the code, filter that value out.
Any other ideas?