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EDC Serial Number EDC0000163
Title EPSRC Manifest Battery Energy Storage System (BESS) Efficiency Tests, The University of Sheffield
Data Location
EDC Stored Dataset
Description The data is from efficiency tests performed at The University of Sheffield, on a 1MWh/2MW lithium-titanate battery energy storage (BESS) by Toshiba SCiB Technology, within the EPSRC funded Multi-scale ANalysis for Facilities for Energy STorage (Manifest) Project EP/N032888/1. The system is connected directly to the grid through an 11kV feed, located at Willenhall Primary Substation. Interfacing to grid is achieved through a 2.2MVA ABB PCS100 inverter, and a 2.1MVA dry-type transformer with 1:30.55 ratio.
DOI (none given)
Sector Commercial
Coverage England
Data recorded from the Willenhall Energy Storage System (WESS), located at Willenhall Primary Substation, Bilston Road, Wolverhampton.
Start: 23/05/2018
End: 07/06/2018
Usage Rights for this Data Open Access
This data may be freely used for any purpose
Data Type Time Series
Parameter Names ISO 8601 timestamp (yyyy-mm-dd, Grid frequency (Hz), Real power (kW), Reactive power (kVAr), Battery State of Charge SoC (%), Battery DC voltage (V), Battery DC current (A), Average AC phase voltage (V), Average AC phase current (A), Battery ambient temperature (deg. C)
Units 1 x Battery test facility
Number of Records 623145 in 11 data files
IEA Category Energy storage
Creator of the Data Matthew Smith, University of Sheffield, UK
Data made available by Matthew Smith, University of Sheffield, UK
Format text/csv
Language English
Project MANiFEST EPSRC Energy Storage Project : Multi-scale ANalysis for Facilities for Energy STorage (MANiFEST)
Related Datasets See all related datasets
Other Information This data was collected as part of an experiment within the MANIFEST project to study the efficiency of the Willenhall Energy Storage System, managed by The University of Sheffield.The EPSRC funded Multi-scale ANalysis for Facilities for Energy STorage (Manifest) Project (EP/N032888/1) aimed to study and investigate the capabilities of energy storage systems installed in UK Universities.The data presented here has contributed to the following publications:'Experimental Analysis of Efficiencies of a Large Scale Energy Storage System', S. Mori, M. J. Smith, D. T. Gladwin & D. A. Stone, 'Practical state estimation using Kalman filter methods for large-scale battery systems', Z. Wang, D. T. Gladwin, M. J. Smith, S. Haass (Under review)

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