Published December 18, 2020 | Version v1
Dataset Open

Water availability and temperature scenarios for water-dependent power plants in the Danube river basin and the Iberian Peninsula

  • 1. Politecnico di Milano
  • 2. Politecnico di Milano; INRAE Avignon

Description

The dataset is composed by 12 files reporting the water availability and temperature scenarios for 167 water-dependent power plants in the Danube river basin and the Iberian Peninsula.

The dataset is split into multiple files by region (Danube river basin (Danube) or Iberian Peninsula (IP)), variable (discharge or river temperature) and scenario (baseline, RCP26 or RCP85) considered.

The title of each file is composed by the variable reported (discharge or river temperature) and the scenario considered (baseline: 1951-2004, RCP26: 2006-2100, RCP85: 2006-2100). The first row is used to report the fields considered: the first three columns report the day, the month and the year. The remaining columns report the name of the power plant considered in each region (57 for the Daube river basin and 110 for the Iberian Peninsula). In each row day, month, year and streamflow or river temperature values are reported for every water-dependent power plant examined in the study.

Temperature is reported as daily average temperature in degrees Celsius (°C) while water availability is reported as daily average streamflow in cubic meters per second (m^3/s).

For a description on how these files were obtained, please refer to https://doi.org/10.2777/135510.

Notes

This dataset was produced in the context of the project "US-EU integrated power and water systems modelling" funded by the European Commission Directorate General for Research and Innovation, Directorate G. - Energy, Unit G3 - Renewable Energy Sources, PP-06161-2017.

Files

Danube_discharge_Baseline.csv

Files (263.8 MB)

Name Size Download all
md5:3e5ab9e4ad162ffd0b60c7c4aec3f47b
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md5:e7401b6bf3b70e7baca1d4bc34316ecf
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md5:84359e2e939f8bdfe38e06f60900989b
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md5:19be3eff4acee6ff7ad1777e52f4f6c4
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md5:415c9aa7bdf2d9a62d37b5d1b5b86b03
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md5:c9b28029aacecd2a50ac2ada8aebf93a
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md5:33d79022b0e4c91dd910b17d0ffd531f
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md5:a6725c4fe29d350d878cd738a6a9e82d
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md5:74e7a65ed032266bad0708b3841e08a6
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md5:56abcdd8f624a0a2afc524f51daf3232
16.9 MB Preview Download
md5:f6d7742e5f217ba4180bf6ec7ac8f108
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md5:96cfae139b2e7f71144357a73280367c
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Additional details

Related works

Is supplement to
Report: 10.2777/135510 (DOI)