Up to few years ago, one of the main problems in the optimal design of a battery energy storage system (BESS) was the availability of both the generation (e.g. renewable sources) and load power profiles of the considered plant. This paradigm has limited the potential of BESSs to drive down overall energy costs and reduce carbon emissions. Nowadays, the exponential growth of data available on the industrial plants has opened the way to new possibilities and opportunities. In addition, BESSs are a viable opportunity to start transforming existing plants with an incremental hybridization of the plant topology. In light of the above, this work develops a commissioning tool that, starting from the data collected on the field, provides the final users the optimal dimensioning of any BESS - according to the taraet performances required bv the specific application.

An Energy Storage System Commissioning Tool

Carboni, Alberto;Barcellona, Simone;Piegari, Luigi;Ferrero, Alessandro;Ragaini, Enrico
2018-01-01

Abstract

Up to few years ago, one of the main problems in the optimal design of a battery energy storage system (BESS) was the availability of both the generation (e.g. renewable sources) and load power profiles of the considered plant. This paradigm has limited the potential of BESSs to drive down overall energy costs and reduce carbon emissions. Nowadays, the exponential growth of data available on the industrial plants has opened the way to new possibilities and opportunities. In addition, BESSs are a viable opportunity to start transforming existing plants with an incremental hybridization of the plant topology. In light of the above, this work develops a commissioning tool that, starting from the data collected on the field, provides the final users the optimal dimensioning of any BESS - according to the taraet performances required bv the specific application.
2018
SPEEDAM 2018 - Proceedings: International Symposium on Power Electronics, Electrical Drives, Automation and Motion
9781538649411
Commissioning Tool; Dimensioning strategies; Energy Storage System; Lithium ion battery; Energy Engineering and Power Technology; Electrical and Electronic Engineering; Mechanical Engineering; Control and Optimization;Elettrici
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1071235
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