Joint modeling of water and energy for resilience and flexibility

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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 -
Export Citation to RIS
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

Christopher Chini

PNNL

Meghna Thomas

PNNL

Taler Bixler

PNNL

Tim McPherson

PNNL

Carmen Cejudo

PNNL

DOE Project Details

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

Project Lead

Project Number WP-061

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