Operational Flexibility for Integrated Energy-Water Resilience
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 -
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
Keywords
operational flexibility, infrastructure resilience, technoeconomic assessment, energy-water system integration, regulatory, investment, operational, frameworks, co-optimization, adaptive capacity, dynamic operationsDOE Project Details
Project Name White Papers on Ideas to Advance Energy-Water Resilience
Project Lead
Project Number WP-054
