Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis

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This white paper examines the connections between energy and water systems, highlighting the need for thorough resilience analyses and interdisciplinary metrics in these sectors. It addresses challenges stemming from the growing interdependence and uncertainty in decision-making due to resource variability, increasing demand, and technological advancements. The paper critiques current resilience assessments for isolating systems and neglecting cascading impacts and multi-sector interactions. It presents near-term opportunities for advancing integrated approaches that combine resilience measurement with decision-support frameworks. This resilience-focused approach could benefit various use cases, including (but is not limited to and is not exhaustive) multi-sector drought impact assessments that consider interactions among different users (e.g., power, agriculture); optimizing hydropower operations during extreme weather events to enhance efficiency and co-benefits; and evaluating non-traditional water sources for increasing energy demands (e.g., data centers), particularly in the context of reuse and desalination. Success measures will concentrate on developing transferable, comparable, and robust metrics for assessing energy-water resilience (EWR), aiming to demonstrate the value of these metrics across different scenarios to encourage broader adoption in EWR analyses. Lastly, by viewing resilience as a dynamic property that encompasses everything from threat representation to performance outcomes, we can promote integrated strategies and collaboration across sectors. This approach has the potential to benefit utilities, federal and regional partners in both the energy and water sectors, as well as industries that depend on energy-water interactions (e.g., agriculture, data centers, mining).

Citation Formats

TY - DATA AB - This white paper examines the connections between energy and water systems, highlighting the need for thorough resilience analyses and interdisciplinary metrics in these sectors. It addresses challenges stemming from the growing interdependence and uncertainty in decision-making due to resource variability, increasing demand, and technological advancements. The paper critiques current resilience assessments for isolating systems and neglecting cascading impacts and multi-sector interactions. It presents near-term opportunities for advancing integrated approaches that combine resilience measurement with decision-support frameworks. This resilience-focused approach could benefit various use cases, including (but is not limited to and is not exhaustive) multi-sector drought impact assessments that consider interactions among different users (e.g., power, agriculture); optimizing hydropower operations during extreme weather events to enhance efficiency and co-benefits; and evaluating non-traditional water sources for increasing energy demands (e.g., data centers), particularly in the context of reuse and desalination. Success measures will concentrate on developing transferable, comparable, and robust metrics for assessing energy-water resilience (EWR), aiming to demonstrate the value of these metrics across different scenarios to encourage broader adoption in EWR analyses. Lastly, by viewing resilience as a dynamic property that encompasses everything from threat representation to performance outcomes, we can promote integrated strategies and collaboration across sectors. This approach has the potential to benefit utilities, federal and regional partners in both the energy and water sectors, as well as industries that depend on energy-water interactions (e.g., agriculture, data centers, mining). AU - Valdez, Raquel L. A2 - Jackson, Nicole D. A3 - Ferencz, Stephen A4 - Wachtel, Amanda DB - Energy-Water Resilience DP - Open EI | National Laboratory of the Rockies DO - KW - integrated systems analysis KW - resilience metrics KW - water-energy interdependencies KW - resource variability KW - increasing demand KW - cascading impacts KW - multi-sector interactions LA - English DA - 2026/01/16 PY - 2026 PB - SNL T1 - Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis UR - https://ewr.openei.org/submissions/68 ER -
Export Citation to RIS
Valdez, Raquel L., et al. Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis. SNL, 16 January, 2026, Energy-Water Resilience. https://ewr.openei.org/submissions/68.
Valdez, R., Jackson, N., Ferencz, S., & Wachtel, A. (2026). Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis. [Data set]. Energy-Water Resilience. SNL. https://ewr.openei.org/submissions/68
Valdez, Raquel L., Nicole D. Jackson, Stephen Ferencz, and Amanda Wachtel. Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis. SNL, January, 16, 2026. Distributed by Energy-Water Resilience. https://ewr.openei.org/submissions/68
@misc{EWR_Dataset_68, title = {Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis}, author = {Valdez, Raquel L. and Jackson, Nicole D. and Ferencz, Stephen and Wachtel, Amanda}, abstractNote = {This white paper examines the connections between energy and water systems, highlighting the need for thorough resilience analyses and interdisciplinary metrics in these sectors. It addresses challenges stemming from the growing interdependence and uncertainty in decision-making due to resource variability, increasing demand, and technological advancements. The paper critiques current resilience assessments for isolating systems and neglecting cascading impacts and multi-sector interactions. It presents near-term opportunities for advancing integrated approaches that combine resilience measurement with decision-support frameworks. This resilience-focused approach could benefit various use cases, including (but is not limited to and is not exhaustive) multi-sector drought impact assessments that consider interactions among different users (e.g., power, agriculture); optimizing hydropower operations during extreme weather events to enhance efficiency and co-benefits; and evaluating non-traditional water sources for increasing energy demands (e.g., data centers), particularly in the context of reuse and desalination. Success measures will concentrate on developing transferable, comparable, and robust metrics for assessing energy-water resilience (EWR), aiming to demonstrate the value of these metrics across different scenarios to encourage broader adoption in EWR analyses. Lastly, by viewing resilience as a dynamic property that encompasses everything from threat representation to performance outcomes, we can promote integrated strategies and collaboration across sectors. This approach has the potential to benefit utilities, federal and regional partners in both the energy and water sectors, as well as industries that depend on energy-water interactions (e.g., agriculture, data centers, mining). }, url = {https://ewr.openei.org/submissions/68}, year = {2026}, howpublished = {Energy-Water Resilience, SNL, https://ewr.openei.org/submissions/68}, note = {Accessed: 2026-06-17} }

Details

Data from Jan 16, 2026

Last updated Jan 16, 2026

Submitted Jan 16, 2026

Contact

Raquel L. Valdez

Authors

Raquel L. Valdez

SNL

Nicole D. Jackson

SNL

Stephen Ferencz

PNNL

Amanda Wachtel

SNL

DOE Project Details

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

Project Lead

Project Number WP-068

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