Monthly virtual water transfers on the U.S. electric grid

Water consumed by power plants is transferred virtually from producers to consumers on the electric grid. This network of virtual transfers varies spatially and temporally on a sub-annual scale. In this study, we focused on cooling water consumed by thermoelectric power plants and water evaporated f...

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Vydáno v:Environmental research, infrastructure and sustainability : ERIS Ročník 3; číslo 3; s. 35006 - 35023
Hlavní autoři: Nugent, Jenni, Chini, Christopher M, Peer, Rebecca A M, Stillwell, Ashlynn S
Médium: Journal Article
Jazyk:angličtina
Vydáno: IOP Publishing 01.09.2023
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ISSN:2634-4505, 2634-4505
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Shrnutí:Water consumed by power plants is transferred virtually from producers to consumers on the electric grid. This network of virtual transfers varies spatially and temporally on a sub-annual scale. In this study, we focused on cooling water consumed by thermoelectric power plants and water evaporated from hydropower reservoirs. We analyzed blue and grey virtual water flows between balancing authorities in the United States electric grid from 2016 to 2021. Transfers were calculated using thermoelectric water consumption volumes reported in Form EIA-923, power plant data from Form EIA-860, water consumption factors from literature, and electricity transfer data from Form EIA-930. The results indicate that virtual water transfers follow seasonal trends. Virtual blue water transfers are dominated by evaporation from hydropower reservoirs in high evaporation regions and peak around November. Virtual grey watertransfers reach a maximum peak during the summer months and a smaller peak during the winter. Notable virtual blue water transfers occur between Arizona and California as well as surrounding regions in the Southwest. Virtual grey water transfers are greatest in the Eastern United States where older, once-through cooling systems are still in operation. Understanding the spatial and temporal transfer of water resources has important policy, water management, and equity implications for understanding burden shifts between regions.
Bibliografie:ERIS-100313.R1
ISSN:2634-4505
2634-4505
DOI:10.1088/2634-4505/acf2c0