Operational Flexibility for Integrated Energy-Water Resilience

Publicly accessible License 

This white paper focuses on advancing operational flexibility as a pathway to integrated energy-water resilience. It addresses the persistent fragmentation between water and energy systems, where separate regulatory, operational, and investment frameworks limit co-optimization and adaptive capacity. Four key challenges are identified: transitioning from steady-state to dynamic operations; quantifying technoeconomic and resilience trade-offs; identifying compatible technologies and scalable operational strategies; and overcoming institutional and data barriers to integration. Near-term opportunities include establishing grid-responsive testbeds, developing flexible operational regimes for water treatment, deploying digital twin architectures for dynamic control, and advancing technoeconomic frameworks that link cost, performance, and resilience outcomes. Success will be measured through quantitative and qualitative metrics that capture load-shifting performance, scalability across utilities, and the degree to which resilience metrics translate into actionable decision parameters enabling utilities to anticipate and adapt to disruptions through data-informed flexibility.

Citation Formats

TY - DATA AB - This white paper focuses on advancing operational flexibility as a pathway to integrated energy-water resilience. It addresses the persistent fragmentation between water and energy systems, where separate regulatory, operational, and investment frameworks limit co-optimization and adaptive capacity. Four key challenges are identified: transitioning from steady-state to dynamic operations; quantifying technoeconomic and resilience trade-offs; identifying compatible technologies and scalable operational strategies; and overcoming institutional and data barriers to integration. Near-term opportunities include establishing grid-responsive testbeds, developing flexible operational regimes for water treatment, deploying digital twin architectures for dynamic control, and advancing technoeconomic frameworks that link cost, performance, and resilience outcomes. Success will be measured through quantitative and qualitative metrics that capture load-shifting performance, scalability across utilities, and the degree to which resilience metrics translate into actionable decision parameters enabling utilities to anticipate and adapt to disruptions through data-informed flexibility. AU - Jackson, Nicole D. A2 - Conrad, Steve A3 - Rao, Nalini DB - Energy-Water Resilience DP - Open EI | National Laboratory of the Rockies DO - KW - operational flexibility KW - infrastructure resilience KW - technoeconomic assessment KW - energy-water system integration KW - regulatory KW - investment KW - operational KW - frameworks KW - co-optimization KW - adaptive capacity KW - dynamic operations LA - English DA - 2026/01/16 PY - 2026 PB - SNL T1 - Operational Flexibility for Integrated Energy-Water Resilience UR - https://ewr.openei.org/submissions/54 ER -
Export Citation to RIS
Jackson, Nicole D., et al. Operational Flexibility for Integrated Energy-Water Resilience. SNL, 16 January, 2026, Energy-Water Resilience. https://ewr.openei.org/submissions/54.
Jackson, N., Conrad, S., & Rao, N. (2026). Operational Flexibility for Integrated Energy-Water Resilience. [Data set]. Energy-Water Resilience. SNL. https://ewr.openei.org/submissions/54
Jackson, Nicole D., Steve Conrad, and Nalini Rao. Operational Flexibility for Integrated Energy-Water Resilience. SNL, January, 16, 2026. Distributed by Energy-Water Resilience. https://ewr.openei.org/submissions/54
@misc{EWR_Dataset_54, title = {Operational Flexibility for Integrated Energy-Water Resilience}, author = {Jackson, Nicole D. and Conrad, Steve and Rao, Nalini}, abstractNote = {This white paper focuses on advancing operational flexibility as a pathway to integrated energy-water resilience. It addresses the persistent fragmentation between water and energy systems, where separate regulatory, operational, and investment frameworks limit co-optimization and adaptive capacity. Four key challenges are identified: transitioning from steady-state to dynamic operations; quantifying technoeconomic and resilience trade-offs; identifying compatible technologies and scalable operational strategies; and overcoming institutional and data barriers to integration. Near-term opportunities include establishing grid-responsive testbeds, developing flexible operational regimes for water treatment, deploying digital twin architectures for dynamic control, and advancing technoeconomic frameworks that link cost, performance, and resilience outcomes. Success will be measured through quantitative and qualitative metrics that capture load-shifting performance, scalability across utilities, and the degree to which resilience metrics translate into actionable decision parameters enabling utilities to anticipate and adapt to disruptions through data-informed flexibility. }, url = {https://ewr.openei.org/submissions/54}, year = {2026}, howpublished = {Energy-Water Resilience, SNL, https://ewr.openei.org/submissions/54}, note = {Accessed: 2026-09-23} }

Details

Data from Jan 16, 2026

Last updated Jan 16, 2026

Submitted Jan 16, 2026

Contact

Nicole D. Jackson

Authors

Nicole D. Jackson

SNL

Steve Conrad

Colorado State University

Nalini Rao

EPRI

DOE Project Details

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

Project Lead

Project Number WP-054

Share

Submission Downloads