Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids
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From a techno-economic perspective, the production of hydrogen or its derivatives using renewable electricity, followed by storage and reconversion to electricity, currently appears most promising for enabling long-duration energy storage.
“From a techno-economic perspective, the production of hydrogen or its derivatives using renewable electricity, followed by storage and reconversion to electricity, currently appears most promising for enabling long-duration energy storage36,41–43.”
From Long-duration electricity storage needs for coping with Dunkelflaute events in Europe (2026) · cites this paper as [43]
The ‘Technologies to support high-variable renewable energy grids’ section describes renewable-powered electrolysis, hydrogen storage, and reconversion to electricity. The ‘Economic analysis of current and future technology costs’ section finds geologic hydrogen storage among the lowest-cost options for 120-hour storage under both current and future cost assumptions. It does not establish that hydrogen or its derivatives are the most promising option across long-duration storage generally: the finding is duration-specific, natural gas with carbon capture is also among the lowest-cost options, and the cited analysis concerns hydrogen rather than its derivatives. Page numbers are unavailable in our copy. (LLM, conf=0.85)
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Cites
The Role of Firm Low-Carbon Electricity Resources in Deep Decarbonization of Power Generation
Sepulveda, N. A., Jenkins, J. D., de Sisternes, F. J., & Lester, R. K. (2018) · Joule · doi:10.1016/j.joule.2018.08.006 · Cited by 592 · see citing works
Wang, M., Han, J., Dunn, J. B., Cai, H., & Elgowainy, A. (2012) · Environmental Research Letters · doi:10.1088/1748-9326/7/4/045905 · Cited by 536 · see citing works
Integration of Renewable Energy Sources in future power systems: The role of storage
Weitemeyer, S., Kleinhans, D., Vogt, T., & Agert, C. (2015) · Renewable Energy · doi:10.1016/j.renene.2014.09.028 · Cited by 514 · see citing works
Least-cost options for integrating intermittent renewables in low-carbon power systems
Brouwer, A. S., van den Broek, M., Zappa, W., Turkenburg, W. C., & Faaij, A. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.09.090 · Cited by 269 · see citing works
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Research works printed but not linked: 7
- Blanco, H., and Faaij, A. (2018). A review at the role of storage in energy systems with a focus on power to gas and long-term storage. Renew. Sustain. Energy Rev. 81, 1049-1086.
- North America Power & Renewables (2019). Performance Review: Nuclear, Fossil Fuels, and Renewables During the 2019 Polar Vortex (Wood Mackenzie Power & Renewables).
- Eddington, M., Osmundsen, M., Jaswal, I., Rowell, J., and Reinhart, B. (2017). Improving the flexibility and efficiency of gas turbine- based distributed power plant. The Future of Gas Turbine Technology 8 th International Gas Turbine Conference. https://etn.global/wp- content/uploads/2018/09/Improving-the- flexibility-and-efficiency-of-gas-turbine-based- distrivuted-power-plant.pdf.
- Weiland, N.T., and White, C.W. (2019). Performance and cost assessment of a natural gas-fueled direct sCO2 power plant. National Energy Technology Laboratory, NETL-PUB- 22274. https://doi.org/10.2172/1503567. · DOI
- Montan ˜ e ´ s, M., GarÐarsdo ´ ttir, S.O., Normann, F., Johnsson, F., and Nord, L.O. (2017). Demonstrating load-change transient performance of a commercial-scale natural gas combined cycle power plant with post- combustion CO2 capture. International Journal of Greenhouse Gas Control 63, 158-174.
- Thra ¨n, D., Dotzauer, M., Lenz, V., Liebetrau, J., and Ortwein, A. (2015). Flexible bioenergy supply for balancing fluctuating renewables in the heat and power sector-a review of technologies and concepts. Energ. Sustain. Soc. 5, 35.
- Ca ´rdenas, B., Swinfen-Styles, L., Rouse, J.P., Hoskin, A., Xu, W., and Garvey, S.D. (2019). Energy storage for a high penetration of renewables. In Offshore Energy and Storage Summit (OSES) (IEEE Publications), pp. 1-10.
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Long-duration electricity storage needs for coping with Dunkelflaute events in Europe
Kittel, M., Roth, A., & Schill, W.-P. (2026) · Nature Communications · doi:10.1038/s41467-026-72681-5 · Cited by 20 · see citing works
Opportunities and constraints of hydrogen energy storage systems
Dowling, J. A., Ruggles, T. H., Virgüez, E. A., Reich, N. D., Ifkovits, Z. P., Davis, S. J., Li, A. X., Kennedy, K. M., Rinaldi, K. Z., Duan, L., et al. (2024) · Environmental Research: Energy · doi:10.1088/2753-3751/ad58e5 · Cited by 10 · see citing works
- Authors
- Hunter, C. A., Penev, M. M., Reznicek, E. P., Eichman, J., Rustagi, N., & Baldwin, S. F.
- Venue
- Joule
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 5
- Issue
- 8
- Pages
- 2077-2101
- ISSN
- 2542-4351
- Cited by
- 338
- References
- 4
- Language
- en
- Licence
- Funders
- Bioenergy Technologies Office
- U.S. Department of Energy (DE-AC36-08GO28308)
- Solar Energy Technologies Office
- Office of Energy Efficiency and Renewable Energy
- National Energy Technology Laboratory
- Oak Ridge National Laboratory
- Government of South Australia
- Wind Energy Technologies Office
- National Renewable Energy Laboratory
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