Data Catalogue - Discover Hydrogen Turbines Follow On - Scenario 10 Results Spreadsheet - GB Capacity Mix Optimisation - Results
Hydrogen Turbines Follow On - Scenario 10 Results Spreadsheet - GB Capacity Mix Optimisation - Results
Description:
Various scenarios for the UK's power fleet composition in 2030 and 2040 were developed. Dispatch modelling in Plexos was carried out by Baringa on these fleets to investigate the role gas fed plants might have in future. This includes the ability to study load factors, stop/starts etc, and together with concomitant pricing, provide a picture of investment remuneration. The effect of key drivers is studied e.g. gas price. The purpose of this spreadsheet is to provide:
- The pathway results (capacity, generation ,costs) for all scenarios. The pathway results are the output of the capacity optimisation model (LT: Long-Term)
- Levelised cost of electricity and value of capacity for the Base Case (Model LT: Long-Term)
- Detailed dispatch results for the Base Case for a spot year (2030). The dispatch results have been simulated with the full year dispatch model (ST: Short-Term)
- Dispatch results for two spot years (2030, 2050) for the rest of the scenarios. These results were simulated with the capacity optimisation model (LT)
- Comparisons between the Base Case and sensitivities
- Comparisons between Base Case and other GB scenarios
Creator:
Mavropoulos, S., Baringa Partners LLP
Publisher:
ETI
Citation (APA Style 7th Edition):
Mavropoulos, S., Baringa Partners LLP (2030). Hydrogen Turbines Follow On - Scenario 10 Results Spreadsheet - GB Capacity Mix Optimisation - Results [Data set]. ETI. https://doi.org/10.5286/UKERC.EDC.000196
Energy Category
Field Dates:
01/01/2009 - 31/12/2018
Data Date Range:
01/01/2030 - 31/12/2030
Data type:
Model
Data format:
application/excel
Language:
English
Number of Units:
No unit numbers supplied
Unit Type:
No units supplied
Number of Records:
No records supplied
Parameters:
No parameters supplied
Rights:
Energy Technologies Institute Open Licence for Materials
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Further information:
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The Energy Data Centre works in collaboration with the CEDA Archive to provide this information
