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Hydrogen Turbines Follow On - Scenario 10 Results Spreadsheet - GB Capacity Mix Optimisation - Results

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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:

  1. The pathway results (capacity, generation ,costs) for all scenarios. The pathway results are the output of the capacity optimisation model (LT: Long-Term)
  2. Levelised cost of electricity and value of capacity for the Base Case (Model LT: Long-Term)
  3. 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)
  4. Dispatch results for two spot years (2030, 2050) for the rest of the scenarios. These results were simulated with the capacity optimisation model (LT)
  5. Comparisons between the Base Case and sensitivities
  6. 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

Class Name:

Subclass Name:

Category Name:

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

Rights Overview:

The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.

Further information:

N/A

The Energy Data Centre works in collaboration with the CEDA Archive to provide this information