| Citation |
Humphry, L. and Greenleaf, J. Storage and Flexibility Modelling: Storage Modelling Framework, ETI, 2016. https://doi.org/10.5286/UKERC.EDC.000665. Cite this using DataCite |
| Author(s) |
Humphry, L. and Greenleaf, J. |
| Project partner(s) |
Baringa Partners LLP |
| Publisher |
ETI |
| DOI |
https://doi.org/10.5286/UKERC.EDC.000665 |
| Download |
AdHoc_ESD_EN1005_7.pdf  |
| Abstract |
This project will develop energy system modelling capability to increase understanding of the role of energy storage and system flexibility in the future energy system. The modelling capability will provide a whole systems view of the different services that could be provided and at which points in the energy system they are most appropriate. Management consultancy Baringa Partners are delivering this new project to develop the capability to improve understanding with regards the future role of energy storage and the provision of cross-vector system flexibility within the context of the overall UK energy system.
This report defines the modelling approach to analysing the longer term role for storage and other relevant flexibility options in Great Britain from a system operator perspective. The primary objective of the Storage Flexibility Project is to develop the capability to improve understanding of the future role of energy storage and the provision of system flexibility within the context of the overall energy system (i.e. across multiple energy vectors, points in the energy system and in provision of multiple system services, from peak shaving to frequency response or gas pressure regulation). A modelling approach for analysing the longer term role for storage and other relevant flexibility options in GB to 2050 (making use of existing ETI tools such as ESME where appropriate) has been developed during Stage 1 of the project for this report. The approach has considered findings from an extensive literature review as well as insights from two parallel Stage 1 project deliverables, a storage and flexibility requirement mapping exercise, and an assessment of nearer term energy storage potential. The development of the approach has carefully considered theimplications of a number key sources of complexity that arise as part of this type of modelling. |
| Associated Project(s) |
ETI-EN1005: Storage and Flexibility Modelling |
| Associated Dataset(s) |
No associated datasets |
| Associated Publication(s) |
Balancing supply and demand in the energy system - Presentation Energy Storage and Distribution Brochure Infographic - 10 Years of Innovation - Energy Storage and Distribution Modelling Storage and Flexibility within the Whole Energy System - Presentation Network Transition Challenges Presentation Storage and Flexibility Modelling: Balancing Supply and Demand in the Energy System Storage and Flexibility Modelling: D1.1 Energy Storage Mapping Report Storage and Flexibility Modelling: D1.3 Approach for modelling long term role of energy storage Storage and Flexibility Modelling: D2.4 Final Report Storage and Flexibility Modelling: Near Term Opportunities for energy storage Transitioning to a low carbon energy system: network transition challenges - Presentation |
