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Battery energy storage systems: Assessment for small-scale renewable energy integration

Open access
Nair, Nirmal-Kumar C., Garimella, Niraj·2010·Energy and Buildings

Abstract

Concerns arising due to the variability and intermittency of renewable energy sources while integrating with the power grid can be mitigated to an extent by incorporating a storage element within the renewable energy harnessing system. Thus, battery energy storage systems (BESS) are likely to have a significant impact in the small-scale integration of renewable energy sources into commercial building and residential dwelling. These storage technologies not only enable improvements in consumption levels from renewable energy sources but also provide a range of technical and monetary benefits. This paper provides a modelling framework to be able to quantify the associated benefits of renewable resource integration followed by an overview of various small-scale energy storage technologies. A simple, practical and comprehensive assessment of battery energy storage technologies for small-scale renewable applications based on their technical merit and economic feasibility is presented. Software such as Simulink and HOMER provides the platforms for technical and economic assessments of the battery technologies respectively.

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Metadata

Authors
Nair, N.-K. C., & Garimella, N.
Venue
Energy and Buildings
Publisher
Elsevier BV
Published
2010-11
Volume
42
Issue
11
Pages
2124-2130
ISSN
0378-7788 (ISSN-L)
OpenAlex
W2005805347
Cited by
313
References
0
FWCI
10.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Battery energy storage systems: Assessment for small-scale renewable energy integration. https://app.cochat.ai/papers/10.1016/j.enbuild.2010.07.002
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Nair, N.-K. C., & Garimella, N. (2010). Battery energy storage systems: Assessment for small-scale renewable energy integration. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2010.07.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.