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Storage and Flexibility Modelling: Storage Modelling Framework


Citation Humphry, L. and Greenleaf, J. Storage and Flexibility Modelling: Storage Modelling Framework, ETI, 2016. https://doi.org/10.5286/UKERC.EDC.000665.
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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 document type
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
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