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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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].”
Background
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
Characterizing the Geothermal Lithium Resource at the Salton Sea
Lawrence Berkeley National Laboratory (LBNL), B., Dobson, P., USDOE Office of Energy Efficiency and Renewable Energy (EERE), R. P. O. G. T. O., Araya, N., Brounce, M., Busse, M., Camarillo, M., English, L., Humphreys, J., Kalderon-Asael, B., et al. (2023) · doi:10.2172/2222403 · Cited by 29
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
