The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Projecting cost development for future large-scale power-to-gas implementations by scaling effects
Open accessAbstract
Power-to-gas (PtG) is widely expected to play a valuable role in future renewable energy systems. In addition to partly allowing a further utilization of the existing gas infrastructure for energy transport and storage, hydrogen or synthetic natural gas (SNG) from electric power represents a high-density energy carrier and important feedstock material for further processing. This premise leads to a significant demand for large-scale PtG plants, which was evaluated with an amount of up to 4530 GWel for electrolysis and up to 1360 GWSNG for methanation capacities at a global scale. Together with the upscaling of single-MW plants available today, this will enable to achieve appropriate cost reduction effects through technological learning. Under given scenarios, reduction potentials for CAPEX of >75% are expected for multi-MW PtG plants in the long-term, with significant advantages of PEM and solid oxide electrolysis over alkaline systems in the short- and mid-term. The resulting effects on PtG product costs were evaluated via a holistic techno-economic assessment, resulting in SNG production costs of 15 €-cent/kWh and below for large-scale appliances in 2050, depending on the renewable electricity supply.
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Cites
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Brynolf, S., Hansson, J., Anderson, J. E., Skov, I. R., Wallington, T. J., Grahn, M., Korberg, A. D., Malmgren, E., & Taljegård, M. (2022) · Progress in Energy · doi:10.1088/2516-1083/ac8097 · Cited by 105
Wu, W., Zhai, H., & Holubnyak, E. (2024) · Nature Communications · doi:10.1038/s41467-024-50090-w · Cited by 110
Seymour, K., Held, M., Stolz, B., Georges, G., & Boulouchos, K. (2024) · Sustainable Energy & Fuels · doi:10.1039/d3se00978e · Cited by 65
Metadata
- Authors
- Böhm, H., Zauner, A., Rosenfeld, D. C., & Tichler, R.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 264
- Pages
- 114780
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W3009267411
- Cited by
- 258
- References
- 43
- FWCI
- 8.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.