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Move DAC module's tools.costs assumptions into their own CSV files #271

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@measrainsey measrainsey commented Dec 18, 2024

PR to reorganize @ywpratama's DAC costs inputs

When @ywpratama initially added the DAC costs assumptions for #235, the new DAC technologies were added to the energy module's cost input CSVs, as at the time the costs tool didn't have the ability to take custom cost assumptions for the modules. Since then, #255 was merged into main and now the costs tool allows for module-specific costs assumptions. I have moved the DAC technologies' reduction rate categories and scenario reduction assumptions out of the energy module's directory into the DAC module's directory.

Additionally, this PR should help to address the issue raised by @khaeru in his comment here: due to another cost reduction category being added for other technologies but not the DAC technologies, this led to a problem where the DAC technologies were missing a value in the input CSV.

I also added the dac module to the type hints in functions that require module as an input.

How to review

For @ywpratama : Can you confirm if these cost assumptions are correct for the DAC module and nothing was incorrectly transferred over?

For @khaeru and/or @glatterf42 : In case you want to take a look as well?

PR checklist

None I believe as this is won't be merged to main.

Currently the DAC technologies' cost reduction and reduction scenarios assumptions are added to the `energy` module's CSV files. With #255, there is now the functionality to add module-specific cost assumptions. So I am moving the DAC technologies' cost reduction categories and reduction scenarios to its own module directory.
@measrainsey measrainsey added costs `.tools.costs`/cost data preparation p:SSP-2024 2024 SSP updates and ScenarioMIP labels Dec 18, 2024
@measrainsey measrainsey self-assigned this Dec 18, 2024
@measrainsey measrainsey marked this pull request as ready for review December 18, 2024 13:01
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Looks good from my side :)

@ywpratama
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Also looks good from my side. Thanks, Meas!

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