Evaluating demand charge reduction for commercial-scale solar PV coupled with battery storage

Park, A and Lappas, P 2017, 'Evaluating demand charge reduction for commercial-scale solar PV coupled with battery storage', Renewable Energy, vol. 108, pp. 523-532.


Document type: Journal Article
Collection: Journal Articles

Title Evaluating demand charge reduction for commercial-scale solar PV coupled with battery storage
Author(s) Park, A
Lappas, P
Year 2017
Journal name Renewable Energy
Volume number 108
Start page 523
End page 532
Total pages 10
Publisher Elsevier
Abstract Solar PV and battery storage technologies are known to provide savings to customers in the form of reduced electricity charges. Currently, these savings are only determined for the volume component (kWh) and not the demand component (kW or kVA). As interest grows in commercial solar PV and battery storage installations, the need to predict demand charge reductions is great. The aim of this research is to determine, with accuracy and reliability, the ability of solar PV and battery storage technologies in reducing demand charges. Results have shown that when simulated against a commercial-scale electricity consumption profile solar PV was able to reduce the maximum demand across five electricity networks in Australia by 0.05-1.51%. When coupled with a 12 kWh battery storage an additional 1.31-2.02% reduction was experienced. Battery utilisation strategy was shown to be critical in yielding greater demand reduction from the battery storage. Notably, it was shown that in the Ergon Energy electricity network, battery storage was able to supply demand at 34% lower cost (/kW) than the network was able to. The results detail the first instance of demand reduction evaluation of solar PV coupled with battery storage, focusing on physical and financial outcomes in an Australian context.
Subject Energy Generation, Conversion and Storage Engineering
Keyword(s) Battery storage
Electricity demand
Solar PV
DOI - identifier 10.1016/j.renene.2017.02.060
Copyright notice © 2017 Elsevier Ltd. All rights reserved.
ISSN 0960-1481
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