UKERC Modelling of Low Carbon Transition Risk
Description:
This dataset relates to the modelling component of the UKERC Phase 4 Project '4.2a Investment in infrastructure'. The aim is to assess the scale of investment risks in the electricity generation sector associated with uncertainty over the pathway towards net zero. The model comprises three components:1. Input data. Based in Excel, contains the scenario assumptions on the electricity system including generation technologies, wind and solar power availability, demand profiles, interconnector and storage capacities etc.2. Modelling files based on the open-source Antares modelling framework. This requires additional free software to be able to run the model. The model calculates the hourly dispatch of all types of plant included in the system.3. Excel-based financial model, based on post-processing the output of the Antares model.Additional 1_Metadata.xls, Input_ReadMe and Outputs_ReadMe files explain the method for running each step of the modelling process. Software available at https://antares-simulator.org/. Version used 8.0.2
Creator:
Will Blyth, Robert Gross, Jamie Rickman, Callum MacIver, Keith Bell
Publisher:
UKERC
Citation (APA Style 7th Edition):
Will Blyth, Robert Gross, Jamie Rickman, Callum MacIver, Keith Bell (2021). UKERC Modelling of Low Carbon Transition Risk [Data set]. UKERC. https://doi.org/10.5286/UKERC.EDC.000964
Energy Categories
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Field Dates:
01/04/2021 - 01/06/2022
Data Date Range:
01/04/2021 - 01/06/2022
Data type:
Model
Data format:
application/excel
text/plain
Language:
English
Number of Units:
8
Unit Type:
model runs
Number of Records:
No records supplied
Parameters:
Parameters described in the dataset
Rights:
CC-BY
Rights Overview:
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. Credit must be given to the creator.
Further information:
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