The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Breaking the hard-to-abate bottleneck in China’s path to carbon neutrality with clean hydrogen
Open accessAbstract
Countries such as China are facing a bottleneck in their paths to carbon neutrality: abating emissions in heavy industries and heavy-duty transport. There are few in-depth studies of the prospective role for clean hydrogen in these ‘hard-to-abate’ (HTA) sectors. Here we carry out an integrated dynamic least-cost modelling analysis. Results show that, first, clean hydrogen can be both a major energy carrier and feedstock that can significantly reduce carbon emissions of heavy industry. It can also fuel up to 50% of China’s heavy-duty truck and bus fleets by 2060 and significant shares of shipping. Second, a realistic clean hydrogen scenario that reaches 65.7 Mt of production in 2060 could avoid US$1.72 trillion of new investment compared with a no-hydrogen scenario. This study provides evidence of the value of clean hydrogen in HTA sectors for China and countries facing similar challenges in reducing emissions to achieve net-zero goals.
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Cites
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Future environmental impacts of global hydrogen production
Wei, S., Sacchi, R., Tukker, A., Suh, S., & Steubing, B. (2024) · Energy & Environmental Science · doi:10.1039/d3ee03875k · Cited by 250
Tracing fossil-based plastics, chemicals and fertilizers production in China
Jiang, M., Cao, Y., Liu, C., Chen, D., Zhou, W., Wen, Q., Yu, H., Jiang, J., Ren, Y., Hu, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47930-0 · Cited by 60
Wang, H., Wang, B., Xu, T., Shen, X., He, Y., Zhou, W., Pfotenhauer, J., Jin, T., & Gan, Z. (2024) · Fuel · doi:10.1016/j.fuel.2024.131247 · Cited by 37
Metadata
- Authors
- Yang, X., Nielsen, C. P., Song, S., & McElroy, M. B.
- Venue
- Nature Energy
- Published
- 2022-09-29
- Volume
- 7
- Issue
- 10
- Pages
- 955-965
- ISSN
- 2058-7546 (ISSN-L)
- OpenAlex
- W4297996718
- Cited by
- 432
- References
- 22
- FWCI
- 14.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.