Details
Originalsprache | Englisch |
---|---|
Aufsatznummer | 109097 |
Fachzeitschrift | Journal of Energy Storage |
Jahrgang | 73 |
Frühes Online-Datum | 10 Okt. 2023 |
Publikationsstatus | Veröffentlicht - 20 Dez. 2023 |
Abstract
The term “Ragone plot” refers to a popular and helpful comparison framework that quantifies the energy–power relationship of an energy storage material, device, or system. While there is consensus on the general Ragone plot concept, many implementations are found in the literature. This article provides a systematic and comprehensive review of the Ragone plot methodology in the field of electric energy storage. A faceted taxonomy is developed, enabling existing and future Ragone plots to be unambiguously classified and contextualized. This review focuses on disseminating the methodology, discussing technology-specific aspects, and giving an overview of the further sizing and design methods developed based on Ragone plots. Additionally, this article identifies best practices for obtaining and presenting Ragone plots. This review is not limited to electrochemical energy storage, where the framework is traditionally applied, but also encompasses all other electric energy storage. Here, the Ragone plot can compactly quantify off-design performance and operational flexibility, independent of technology-specific performance indicators. This review is the first of its kind and can, therefore, guide future application of the Ragone plot framework in a consistent manner.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Erneuerbare Energien, Nachhaltigkeit und Umwelt
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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in: Journal of Energy Storage, Jahrgang 73, 109097, 20.12.2023.
Publikation: Beitrag in Fachzeitschrift › Übersichtsarbeit › Forschung › Peer-Review
}
TY - JOUR
T1 - Ragone plots revisited
T2 - A review of methodology and application across energy storage technologies
AU - Beyers, Inga
AU - Bensmann, Astrid
AU - Hanke-Rauschenbach, Richard
N1 - Funding Information: The authors gratefully acknowledge the financial support by the Federal Ministry of Education and Research, Germany (BMBF, funding code FKZ: 03XP0200E ). We further thank Sven Wiegelmann and Ishwar Singh Sarpal for the helpful discussions.
PY - 2023/12/20
Y1 - 2023/12/20
N2 - The term “Ragone plot” refers to a popular and helpful comparison framework that quantifies the energy–power relationship of an energy storage material, device, or system. While there is consensus on the general Ragone plot concept, many implementations are found in the literature. This article provides a systematic and comprehensive review of the Ragone plot methodology in the field of electric energy storage. A faceted taxonomy is developed, enabling existing and future Ragone plots to be unambiguously classified and contextualized. This review focuses on disseminating the methodology, discussing technology-specific aspects, and giving an overview of the further sizing and design methods developed based on Ragone plots. Additionally, this article identifies best practices for obtaining and presenting Ragone plots. This review is not limited to electrochemical energy storage, where the framework is traditionally applied, but also encompasses all other electric energy storage. Here, the Ragone plot can compactly quantify off-design performance and operational flexibility, independent of technology-specific performance indicators. This review is the first of its kind and can, therefore, guide future application of the Ragone plot framework in a consistent manner.
AB - The term “Ragone plot” refers to a popular and helpful comparison framework that quantifies the energy–power relationship of an energy storage material, device, or system. While there is consensus on the general Ragone plot concept, many implementations are found in the literature. This article provides a systematic and comprehensive review of the Ragone plot methodology in the field of electric energy storage. A faceted taxonomy is developed, enabling existing and future Ragone plots to be unambiguously classified and contextualized. This review focuses on disseminating the methodology, discussing technology-specific aspects, and giving an overview of the further sizing and design methods developed based on Ragone plots. Additionally, this article identifies best practices for obtaining and presenting Ragone plots. This review is not limited to electrochemical energy storage, where the framework is traditionally applied, but also encompasses all other electric energy storage. Here, the Ragone plot can compactly quantify off-design performance and operational flexibility, independent of technology-specific performance indicators. This review is the first of its kind and can, therefore, guide future application of the Ragone plot framework in a consistent manner.
KW - Batteries
KW - Energy storage
KW - Energy storage sizing
KW - Energy–power relations
KW - Ragone plot
KW - Supercapacitors
UR - http://www.scopus.com/inward/record.url?scp=85173606731&partnerID=8YFLogxK
U2 - 10.1016/j.est.2023.109097
DO - 10.1016/j.est.2023.109097
M3 - Review article
AN - SCOPUS:85173606731
VL - 73
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 109097
ER -