| Citation |
Mavropoulos, S. and Collins, C. 2030 Electricity Price Time Series: Methodology and key inputs - spreadsheet, ETI, 2018. https://doi.org/10.5286/UKERC.EDC.000715. Cite this using DataCite |
| Author(s) |
Mavropoulos, S. and Collins, C. |
| Project partner(s) |
Baringa Partners LLP |
| Publisher |
ETI |
| DOI |
https://doi.org/10.5286/UKERC.EDC.000715 |
| Download |
AdHoc_ESD_EN1053_2.xlsx  |
| Abstract |
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
This spreadsheet provides figures for key inputs to be used for the projection of theretail cost stack in 2030. All figures refer to year 2030 unless otherwise stated. Money is in 1st January 2017 terms unless otherwise stated. |
| Associated Project(s) |
ETI-EN1053: 2030 Electricity Price Time Series |
| Associated Dataset(s) |
No associated datasets |
| Associated Publication(s) |
2030 Electricity Price Time Series: Future Retail Electricity Supplier Costs 2030 Electricity Price Time Series: Methodology and key inputs 2030 Electricity Price Time Series: Modelling of hourly retail cost stacks in 2030 under three scenarios 2030 Electricity Price Time Series: Retail supply cost analysis 2030 Electricity Price Time Series: Retail supply cost analysis - spreadsheet |
