The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Battery energy storage system size determination in renewable energy systems: A review
Abstract
Abstract Renewable energy, such as hydro power, photovoltaics and wind turbines, has become the most widely applied solutions for addressing issues associated with oil depletion, increasing energy demand and anthropogenic global warming. Solar and wind energy are strongly dependent on weather resources with intermittent and fluctuating features. To filter these variabilities, battery energy storage systems have been broadly accepted as one of the potential solutions, with advantages such as fast response capability, sustained power delivery, and geographical independence. During the implementation of battery energy storage systems, one of the most crucial issues is to optimally determine the size of the battery for balancing the trade-off between the technical improvements brought by the battery and the additional overall cost. Numerous studies have been performed to optimise battery sizing for different renewable energy systems using a range of criteria and methods. This paper provides a comprehensive review of battery sizing criteria, methods and its applications in various renewable energy systems. The applications for storage systems have been categorised based on the specific renewable energy system that the battery storage will be a part. This is in contrast to previous studies where the battery sizing approaches were either arranged as an optimised component in renewable systems or only accounted for one category of renewable system. By taking this approach, it becomes clear that the critical metrics for battery sizing, and by extension the most suitable method for determining battery size, are determined by the type of renewable energy system application, as well as its size. This has important implications for the design process as the renewable energy system application will drive the battery energy storage system sizing methodology chosen.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Luo, X., Wang, J., Dooner, M., & Clarke, J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2014.09.081 · Cited by 3,869
A review of available methods and development on energy storage; technology update
Mahlia, T. M. I., Saktisahdan, T. J., Jannifar, A., Hasan, M. H., & Matseelar, H. S. C. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.01.068 · Cited by 871
Distributed energy storage for mitigation of voltage-rise impact caused by rooftop solar PV
Alam, M. J. E., Muttaqi, K. M., & Sutanto, D. (2012) · 2012 IEEE Power and Energy Society General Meeting · doi:10.1109/pesgm.2012.6345726 · Cited by 106
Cited by
Yang, Y., Bremner, S., Menictas, C., & Kay, M. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112671 · Cited by 325
Self-citationSun, D., Yu, X., Wang, C., Zhang, C., Huang, R., Zhou, Q., Amietszajew, T., & Bhagat, R. (2021) · Energy · doi:10.1016/j.energy.2020.119025 · Cited by 242
Energy Management System in Microgrids: A Comprehensive Review
Zahraoui, Y., Alhamrouni, I., Mekhilef, S., Basir Khan, M. R., Seyedmahmoudian, M., Stojcevski, A., & Horan, B. (2021) · Sustainability · doi:10.3390/su131910492 · Cited by 191
Review on Recent Strategies for Integrating Energy Storage Systems in Microgrids
Kandari, R., Neeraj, N., & Micallef, A. (2022) · Energies · doi:10.3390/en16010317 · Cited by 64
Zhou, Y. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113688 · Cited by 42
Metadata
- Authors
- Yang, Y., Bremner, S., Menictas, C., & Kay, M.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 91
- Pages
- 109-125
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2796868861
- Cited by
- 977
- References
- 3
- FWCI
- 31.63
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Battery energy storage system size determination in renewable energy systems: A review. https://app.cochat.ai/papers/10.1016/j.rser.2018.03.047
- The paper
- Yang, Y., Bremner, S., Menictas, C., & Kay, M. (2018). Battery energy storage system size determination in renewable energy systems: A review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2018.03.047
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.