Assessment of utility energy storage options for increased renewable energy penetration
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In the future, the buffer role is expected to be played by energy storage technologies such as batteries, pumped hydro, or power-to-gas.
“In the future, this role is expected to be played by Fig. 1.Selected opportunities to reduce GHG emissions from electricity systems using ML, as described in Section 2. energy storage technologies such as batteries (Section 3.3), pumped hydro, or power-to-gas [226]; see [27] for an overview.”
From Tackling climate change with machine learning (2023) · cites this paper as [226]
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- Authors
- Evans, A., Strezov, V., & Evans, T. J.
- Affiliations
- Macquarie University (AU)
- Corresponding author
- Strezov, Vladimir
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 16
- Issue
- 6
- Pages
- 4141-4147
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2051724919
- Cited by
- 675
- References
- 50
- Citations by year
- 2026: 26 · 2025: 35 · 2024: 35 · 2023: 67 · 2022: 65 · 2021: 78 · 2020: 61 · 2019: 59 · 2018: 63 · 2017: 49 · 2016: 43 · 2015: 35 · 2014: 29 · 2013: 21 · 2012: 4
- FWCI
- 23.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable and Sustainable Energy Reviews (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
- Keywords
- energy storage, renewable energy penetration, intermittency, energy storage systems, storage efficiency, energy density, capital investment costs, cycle life, self-discharge, hybrid storage, energy security
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