Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers

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Data centers consume substantial amounts of electricity and can amplify water stress locally as well as in distant regions via their direct (for cooling) and indirect (for thermoelectric power generation) consumption of water. There is an opportunity to enhance energy-water resilience by developing novel methods for planning new data centers that co-optimize their energy and water demands to minimize stress on both energy and water systems in a given region. Resilience-informed development of data centers would require advances in both the understanding of the energy-water impacts of data centers and in simulation capabilities to quantify tradeoffs across interconnected systems. Ultimately these datasets and tools could form the basis for a capability wherein researchers could generate projections of the need for new data centers, site them at specific locations in the U.S., and then study the impact of those new facilities on energy and water systems locally (i.e., at the basin or water utility scale) and regionally (i.e., at the balancing authority [BA] scale). As data centers continue to be built across the country, it is becoming increasingly critical to measure and track their joint impact on energy and water systems.

Citation Formats

TY - DATA AB - Data centers consume substantial amounts of electricity and can amplify water stress locally as well as in distant regions via their direct (for cooling) and indirect (for thermoelectric power generation) consumption of water. There is an opportunity to enhance energy-water resilience by developing novel methods for planning new data centers that co-optimize their energy and water demands to minimize stress on both energy and water systems in a given region. Resilience-informed development of data centers would require advances in both the understanding of the energy-water impacts of data centers and in simulation capabilities to quantify tradeoffs across interconnected systems. Ultimately these datasets and tools could form the basis for a capability wherein researchers could generate projections of the need for new data centers, site them at specific locations in the U.S., and then study the impact of those new facilities on energy and water systems locally (i.e., at the basin or water utility scale) and regionally (i.e., at the balancing authority [BA] scale). As data centers continue to be built across the country, it is becoming increasingly critical to measure and track their joint impact on energy and water systems. AU - Burleyson, Casey A2 - Akdemir, Kerem Ziya A3 - Mongird, Kendall A4 - Rice, Jennie A5 - Wild, Thomas B. DB - Energy-Water Resilience DP - Open EI | National Laboratory of the Rockies DO - KW - Data centers KW - resource adequacy KW - water stress KW - grid stress KW - regional development and planning KW - cooling KW - consumption KW - optimization KW - co-optimize LA - English DA - 2026/01/16 PY - 2026 PB - PNNL T1 - Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers UR - https://ewr.openei.org/submissions/23 ER -
Export Citation to RIS
Burleyson, Casey, et al. Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers. PNNL, 16 January, 2026, Energy-Water Resilience. https://ewr.openei.org/submissions/23.
Burleyson, C., Akdemir, K., Mongird, K., Rice, J., & Wild, T. (2026). Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers. [Data set]. Energy-Water Resilience. PNNL. https://ewr.openei.org/submissions/23
Burleyson, Casey, Kerem Ziya Akdemir, Kendall Mongird, Jennie Rice, and Thomas B. Wild. Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers. PNNL, January, 16, 2026. Distributed by Energy-Water Resilience. https://ewr.openei.org/submissions/23
@misc{EWR_Dataset_23, title = {Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers}, author = {Burleyson, Casey and Akdemir, Kerem Ziya and Mongird, Kendall and Rice, Jennie and Wild, Thomas B.}, abstractNote = {Data centers consume substantial amounts of electricity and can amplify water stress locally as well as in distant regions via their direct (for cooling) and indirect (for thermoelectric power generation) consumption of water. There is an opportunity to enhance energy-water resilience by developing novel methods for planning new data centers that co-optimize their energy and water demands to minimize stress on both energy and water systems in a given region. Resilience-informed development of data centers would require advances in both the understanding of the energy-water impacts of data centers and in simulation capabilities to quantify tradeoffs across interconnected systems. Ultimately these datasets and tools could form the basis for a capability wherein researchers could generate projections of the need for new data centers, site them at specific locations in the U.S., and then study the impact of those new facilities on energy and water systems locally (i.e., at the basin or water utility scale) and regionally (i.e., at the balancing authority [BA] scale). As data centers continue to be built across the country, it is becoming increasingly critical to measure and track their joint impact on energy and water systems.}, url = {https://ewr.openei.org/submissions/23}, year = {2026}, howpublished = {Energy-Water Resilience, PNNL, https://ewr.openei.org/submissions/23}, note = {Accessed: 2026-06-17} }

Details

Data from Jan 16, 2026

Last updated Jan 16, 2026

Submitted Jan 16, 2026

Contact

Casey Burleyson

Authors

Casey Burleyson

PNNL

Kerem Ziya Akdemir

PNNL

Kendall Mongird

PNNL

Jennie Rice

PNNL

Thomas B. Wild

PNNL

DOE Project Details

Project Name White Papers on Ideas to Advance Energy-Water Resilience

Project Lead

Project Number WP-023

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