Joint modeling of water and energy for resilience and flexibility
The white paper focuses on the intersection of energy and potable water systems through joint modeling to enhance resilience, flexibility, and operational efficiency. The paper identifies the lack of integrated modeling tools as the primary obstacle in managing interconnected water and power systems. Current utilities often operate in silos, with water system loads represented simplistically in energy models. This disconnect limits the ability to optimize energy usage, manage flexible loads, or coordinate during emergencies. Emerging technologies such as desalination, water reuse, and membrane filtration offer new avenues for joint flexibility and co-optimization. Developing integrated, data-driven models that reflect real-world temporal and spatial system dynamics could improve both short-term operations and long-term planning. Success can be defined across three domains: (i) improved grid reliability and flexibility, (ii) operational efficiency, and (iii) coordinated disaster response and recovery.
Citation Formats
TY - DATA
AB - The white paper focuses on the intersection of energy and potable water systems through joint modeling to enhance resilience, flexibility, and operational efficiency. The paper identifies the lack of integrated modeling tools as the primary obstacle in managing interconnected water and power systems. Current utilities often operate in silos, with water system loads represented simplistically in energy models. This disconnect limits the ability to optimize energy usage, manage flexible loads, or coordinate during emergencies. Emerging technologies such as desalination, water reuse, and membrane filtration offer new avenues for joint flexibility and co-optimization. Developing integrated, data-driven models that reflect real-world temporal and spatial system dynamics could improve both short-term operations and long-term planning. Success can be defined across three domains: (i) improved grid reliability and flexibility, (ii) operational efficiency, and (iii) coordinated disaster response and recovery.
AU - Chini, Christopher
A2 - Thomas, Meghna
A3 - Bixler, Taler
A4 - McPherson, Tim
A5 - Cejudo, Carmen
DB - Energy-Water Resilience
DP - Open EI | National Laboratory of the Rockies
DO -
KW - joint modeling
KW - potable water
KW - energy resilience
KW - water resilience
KW - disaster recovery
KW - operational efficiency
KW - flexibility
KW - integrated modeling
KW - energy models
LA - English
DA - 2026/01/16
PY - 2026
PB - PNNL
T1 - Joint modeling of water and energy for resilience and flexibility
UR - https://ewr.openei.org/submissions/61
ER -
Chini, Christopher, et al. Joint modeling of water and energy for resilience and flexibility. PNNL, 16 January, 2026, Energy-Water Resilience. https://ewr.openei.org/submissions/61.
Chini, C., Thomas, M., Bixler, T., McPherson, T., & Cejudo, C. (2026). Joint modeling of water and energy for resilience and flexibility. [Data set]. Energy-Water Resilience. PNNL. https://ewr.openei.org/submissions/61
Chini, Christopher, Meghna Thomas, Taler Bixler, Tim McPherson, and Carmen Cejudo. Joint modeling of water and energy for resilience and flexibility. PNNL, January, 16, 2026. Distributed by Energy-Water Resilience. https://ewr.openei.org/submissions/61
@misc{EWR_Dataset_61,
title = {Joint modeling of water and energy for resilience and flexibility},
author = {Chini, Christopher and Thomas, Meghna and Bixler, Taler and McPherson, Tim and Cejudo, Carmen},
abstractNote = {The white paper focuses on the intersection of energy and potable water systems through joint modeling to enhance resilience, flexibility, and operational efficiency. The paper identifies the lack of integrated modeling tools as the primary obstacle in managing interconnected water and power systems. Current utilities often operate in silos, with water system loads represented simplistically in energy models. This disconnect limits the ability to optimize energy usage, manage flexible loads, or coordinate during emergencies. Emerging technologies such as desalination, water reuse, and membrane filtration offer new avenues for joint flexibility and co-optimization. Developing integrated, data-driven models that reflect real-world temporal and spatial system dynamics could improve both short-term operations and long-term planning. Success can be defined across three domains: (i) improved grid reliability and flexibility, (ii) operational efficiency, and (iii) coordinated disaster response and recovery.},
url = {https://ewr.openei.org/submissions/61},
year = {2026},
howpublished = {Energy-Water Resilience, PNNL, https://ewr.openei.org/submissions/61},
note = {Accessed: 2026-04-07}
}
Details
Data from Jan 16, 2026
Last updated Jan 16, 2026
Submitted Jan 16, 2026
Contact
Christopher M. Chini
Authors
Keywords
joint modeling, potable water, energy resilience, water resilience, disaster recovery, operational efficiency, flexibility, integrated modeling, energy modelsDOE Project Details
Project Name White Papers on Ideas to Advance Energy-Water Resilience
Project Lead
Project Number WP-061
