The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies
Open accessAbstract
Various studies have attempted to consolidate published estimates of water use impacts of electricity generating technologies, resulting in a wide range of technologies and values based on different primary sources of literature. The goal of this work is to consolidate the various primary literature estimates of water use during the generation of electricity by conventional and renewableelectricity generating technologies in the United States to more completely convey the variability and uncertainty associated with water use in electricity generating technologies.
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Citations
Cites
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523 · cited 2×
“The power sector is thus highly vulnerable to changes in water resources, especially those that may result from potential climatic changes [2-5].”
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Cited by
The environmental footprint of data centers in the United States
Siddik, M. A. B., Shehabi, A., & Marston, L. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abfba1 · Cited by 281
Li, P., Yang, J., Islam, M. A., & Ren, S. (2025) · Communications of the ACM · doi:10.1145/3724499 · Cited by 176
(2017) · doi:10.1596/26646 · Cited by 73
Understanding the total life cycle cost implications of reusing structural steel
Yeung, J., Walbridge, S., Haas, C., & Saari, R. (2017) · Environment Systems and Decisions · doi:10.1007/s10669-016-9621-6 · Cited by 46
(2018) · doi:10.1109/tcc.2016.2535201 · Cited by 39
Metadata
- Authors
- Macknick, J., Newmark, R., Heath, G., & Hallett, K.
- Published
- 2011-03-01
- OpenAlex
- W1548235560
- Cited by
- 282
- References
- 1
- Type
- report
- Language
- en
- Open access
- green
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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.
