Data

Levelised cost analysis - grid scale medium duration energy storage

Commonwealth Scientific and Industrial Research Organisation
Palfreyman, Doug ; Grant, Angus ; Dollman, Rosie ; Jovanov, Monica ; Shumilova, Katie ; Goessler, Callum ; Hore-Lacy, Will
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://hdl.handle.net/102.100.100/707486?index=1&rft.title=Levelised cost analysis - grid scale medium duration energy storage&rft.identifier=http://hdl.handle.net/102.100.100/707486?index=1&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Levelised cost analysis plays a crucial role in supporting energy policy decisions, guiding investment strategies, acting as an input into whole of economy modelling, and informing research and development priorities. However, levelised cost analysis is typically delivered through static reports, which presents several challenges. The quality and relevance of the data can vary significantly between sources, and the assumptions underpinning the analysis – such as technology, regional, and application specific assumptions – can greatly influence the outcomes. As a result, the findings may not always be current or directly applicable to the Australian energy landscape. The analysis was conducted by the CSIRO Futures team. For more information and to download the data please visit this webpage: https://research.csiro.au/neac/insights-news-and-case-studies/insights/Lineage: A levelised cost model was developed using standard financial and technical equations, with input assumptions (e.g. CAPEX, OPEX, efficiency, lifetime) sourced from peer-reviewed literature and industry reports. The base model was adapted for each technology to incorporate specific performance parameters and operational profiles, enabling comparative cost outputs.&rft.creator=Palfreyman, Doug &rft.creator=Grant, Angus &rft.creator=Dollman, Rosie &rft.creator=Jovanov, Monica &rft.creator=Shumilova, Katie &rft.creator=Goessler, Callum &rft.creator=Hore-Lacy, Will &rft.date=2025&rft.edition=v3&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=Medium duration storage&rft_subject=NEAC&rft_subject=energy storage&rft_subject=Energy insights&rft_subject=Levelised costs&rft_subject=Levelised cost analysis&rft_subject=SoETT&rft_subject=State of Energy Transition technologies&rft_subject=CSIRO Futures&rft_subject=Environment and resource economics&rft_subject=Applied economics&rft_subject=ECONOMICS&rft_subject=Electrical energy storage&rft_subject=Electrical engineering&rft_subject=ENGINEERING&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2025.

Access:

Open view details

Accessible for free

Contact Information



Full description

Levelised cost analysis plays a crucial role in supporting energy policy decisions, guiding investment strategies, acting as an input into whole of economy modelling, and informing research and development priorities. However, levelised cost analysis is typically delivered through static reports, which presents several challenges. The quality and relevance of the data can vary significantly between sources, and the assumptions underpinning the analysis – such as technology, regional, and application specific assumptions – can greatly influence the outcomes. As a result, the findings may not always be current or directly applicable to the Australian energy landscape. The analysis was conducted by the CSIRO Futures team. For more information and to download the data please visit this webpage: https://research.csiro.au/neac/insights-news-and-case-studies/insights/
Lineage: A levelised cost model was developed using standard financial and technical equations, with input assumptions (e.g. CAPEX, OPEX, efficiency, lifetime) sourced from peer-reviewed literature and industry reports. The base model was adapted for each technology to incorporate specific performance parameters and operational profiles, enabling comparative cost outputs.

Available: 2025-08-04

Data time period: 2025-01-01 to 2050-01-01

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Related Grants and Projects

Related Websites

Subjects
Applied Economics | CSIRO Futures | Economics | Engineering | Electrical Energy Storage | Electrical Engineering | Energy insights | Environment and Resource Economics | Levelised cost analysis | Levelised costs | Medium duration storage | NEAC | SoETT | State of Energy Transition technologies | energy storage |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857