Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Input files for Dispa-SET for the JRC report "Power System Flexibility in a variable climate"

Authors: De Felice, Matteo;

Input files for Dispa-SET for the JRC report "Power System Flexibility in a variable climate"

Abstract

Input files for Dispa-SET for the JRC report "Power System Flexibility in a variable climate" Here you can find the input files needed to reproduce the results of the report: De Felice, M., Busch, S., Kanellopoulos, K., Kavvadias, K. and Hidalgo Gonzalez, I., Power system flexibility in a variable climate, EUR 30184 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-18183-5 (online), doi:10.2760/75312 (online), JRC120338. The results in the report are generated with the Dispa-SET power system model, available and explained at www.dispaset.eu. A description of the data sources with the references can be found into the report. How to use this dataset This dataset can be used as input data for the Dispa-SET model. We refer to the report and the official model documentation for information about the data and the model. Description of the dataset The file EnVarClim.yml is a template of the YAML configuration file used by Dispa-SET. To run a specific climate year the XXXX present in some input files must be replaced with the year. Availability factors In the folder AvailabilityFactors there are the availability factors (from 0 to 1) for the power plants and the renewable generation. There is a subfolder for each simulated zone and inside a file for each climate year: from emh_and_cc_availability_1990.csv to emh_and_cc_availability_2015.csv. Cross-border transmission In the folder DayAheadNTC there is the file merged_constant_NTC.csv containing the capacity (in MW). NOTE: due to an error in the pre-processing code there are some additional lines for the Western Balkans countries ending with a 1 (e.g. GR -> MK1). Those lines are ignored by the model because are not associated to any simulated zone. Cross-border historical flows In the file CC_L_flows.csv under the folder Flows are contained the hourly flows between the simulated zones and their neighbours (RU, TR, UA). Fuel prices In the folder FuelPrices are contained a set of files containing the hourly prices for the fuels (biomass, coal, lignite, gas, oil) and CO2 emissions. It is worth noting that in spite of their hourly resolution the time-series are constant through the year. Hourly load In the folder Load_RealTime there are hourly load time-series for each zone considering a different climate year. For the Western Balkans countries we use the same time-series for each climate year. Outage factors The files CC_L_outages.csv in the folder OutageFactors contain the outage factor (from 1, full outage, to 0) for the various generation units. Whenever a simulation zone is missing the model assumes the absence of outages. Power plants data In the folder PowerPlants there is a file named CC_L_plants.mip.csv for each simulated zone. The CSV files contain the data needed by Dispa-SET. Water storage levels The folder ReservoirLevel contains the storage level (values from 0 to 1 relative to the size of the storage) for all the simulated zones. The levels have been computed for each climate year using a different inflow using the mid-term scheduler recently implemented in Dispa-SET. For the Western Balkans countries we use the same time-series for each climate year. Hydro-power inflows In the folder ScaledInflows are contained the inflows used for the hydro-power generation. The values in the CSV files describes how much energy is available for hydro-power generation compared to the installed capacity. Linked resources Model output files: https://zenodo.org/record/3778133 Source code for the figures: https://github.com/energy-modelling-toolkit/figures-JRC-report-power-system-and-climate-variability

{"references": ["De Felice, M., Busch, S., Kanellopoulos, K., Kavvadias, K. and Hidalgo Gonzalez, I., Power system flexibility in a variable climate, EUR 30184 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-18183-5 (online), doi:10.2760/75312 (online), JRC120338."]}

Keywords

climate variability, power systems modelling, EnVarClim, Dispa-SET

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 36
    download downloads 9
  • 36
    views
    9
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
36
9