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The Impact of Thermoelectric Power Plant Operations and Water Use Reporting Methods on Thermoelectric Power Plant Water Use - Data & Code
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| Created: | Feb 25, 2025 at 2:51 a.m. | |
| Last updated: | Feb 27, 2025 at 9:09 p.m. | |
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| Content types: | Geographic Feature Content CSV Content |
| Sharing Status: | Public |
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Abstract
Thermoelectric power generation accounts for over 41% of total U.S. freshwater withdrawals, making understanding the determinants of power plants’ water withdrawals (WW) and consumption (WC) critical for reducing the sector's reliance on increasingly scarce water resources. However, reported data inconsistencies and incomplete analysis of potential determinants of thermoelectric water use hinder such efforts. We address these challenges by introducing a novel data filtering method and a richer assessment of water use determinants. First, we applied a power-cooling ratio as an operations-based data filter that removed operationally implausible records while retaining more original data, outperforming previous statistical filtering methods. Second, we found that different water use reporting methods (WURMs) provided statistically significantly different WW and WC values, revealing the importance of this previously unrecognized feature in reported water use records. Third, our data-driven approach showed that traditionally emphasized features — such as cooling technology and gross generation — are of primary importance but can be surpassed by other, often overlooked, features when modeling WW or WC individually. The plant configuration, cooling technology, and gross generation were the most important features of WW, whereas WURM, cooling technology, and reporting month were the most important for WC. These findings can improve thermoelectric power plant management, water use reporting accuracy, and water use modeling.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. Geological Survey | Reanalyzing and predicting U.S. water use by economic history and forecast data; an experiment in short-range national hydro-economic data synthesis | G20AP00002 |
| U.S. National Science Foundation | CBET- 2115169 | |
| U.S. National Science Foundation | PD 19- 1638 | |
| U.S. National Science Foundation | CBET- 2144169 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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