2030 Electricity Price Time Series: Methodology and key inputs - spreadsheet
Description:
This knowledge building project aims to outline a number of price scenarios for the retail price of electricity across a number of different energy vectors in 2030. This project, delivered by Baringa, builds on their existing time series of hourly supplier electricity costs for 2030. They delivered an hourly electricity price series for 2030 based on traceable assumptions for three different 2030 supply-demand scenarios. The key objectives were:
- To investigate the costs that domestic electricity suppliers in Great Britain might face in 2030.
- To make projections on the assumption that, unless formally announced, no changes are made to the electricity market arrangements in place today
- To focus in particular on the hourly variation and seasonal shape of supplier costs
Creator:
Mavropoulos, S., Collins, C., Baringa Partners LLP
Publisher:
ETI
Citation (APA Style 7th Edition):
Mavropoulos, S., Collins, C., Baringa Partners LLP (2030). 2030 Electricity Price Time Series: Methodology and key inputs - spreadsheet [Data set]. ETI. https://doi.org/10.5286/ukerc.edc.000715
Energy Category
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Field Dates:
01/01/2009 - 31/12/2018
Data Date Range:
01/01/2030 - 31/12/2030
Data type:
Time Series
Data format:
application/excel
Language:
English
Number of Units:
No unit numbers supplied
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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
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The Energy Data Centre works in collaboration with the CEDA Archive to provide this information
