Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers
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 -
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
Keywords
Data centers, resource adequacy, water stress, grid stress, regional development and planning, cooling, consumption, optimization, co-optimizeDOE Project Details
Project Name White Papers on Ideas to Advance Energy-Water Resilience
Project Lead
Project Number WP-023
