A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems

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Energy-water (EW) systems in the U.S. are deeply interconnected through complex networks vulnerable to disruptions, such as when a regional drought simultaneously impacts hydropower generation, thermoelectric production, and water availability across multiple sectors, producing knock-on economic effects. A fundamental challenge lies in integrating the theoretical and experimental work on the biotechnology side with TEA/systems models for each identified technological intervention. This requires new approaches, such as a unified modeling framework, that integrates the 14 diverse technological systems constituting the E-W nexus. A comprehensive assessment of energy-water interdependencies requires integrating biotechnology solutions, energy generation (e.g., coal plants, powerline networks), hydrogeneration, regional water systems (e.g., treatment, distribution), climate drivers, consumption patterns, and economic impacts into a single model that produces, as output, how biotechnological innovations can reduce system coupling, while optimizing resource availability and socioeconomic outcomes.

Near-Term Opportunity: There is an opportunity to produce an Integrated Assessment Model (IAM)
that fuses geographic scales, systems (e.g., water, energy, economics, infrastructure), biotechnological viability assessments, earth system drivers, and demographic data into a single dashboard. Produced through partnerships with government, academia, and industry experts, this model will include AI/ML data integration, TEA projection, novel biotechnology interventions, technological learning curves, and scenario analysis. This IAM will serve as a unified decision support system, providing decisionmakers with comprehensive insights into viable biotechnological interventions that can decouple energy-water dependencies, enhancing system resilience in the near term.

Success Measures: The IAM will feature a comprehensive success metrics dashboard that evaluates biotechnology interventions across systemic resilience, economic viability, and societal impact dimensions. The platform will deliver the following specific outputs to guide decision-makers in evaluating energy-water system interventions: (1) Water availability total increase amounts at the basin scale (i.e., aquifer recovery and recharge rates; (2)Percentage decreases in energy demand, measured in megawatt-hours (MWh), for desalination and purification processes; (3) Reduced cooling water withdrawals, in gallons per year; and (4) Volume of reclaimed water, in gallons per year, that meet regional quality requirements for conservation and/or agricultural reuse.

Citation Formats

TY - DATA AB - Energy-water (EW) systems in the U.S. are deeply interconnected through complex networks vulnerable to disruptions, such as when a regional drought simultaneously impacts hydropower generation, thermoelectric production, and water availability across multiple sectors, producing knock-on economic effects. A fundamental challenge lies in integrating the theoretical and experimental work on the biotechnology side with TEA/systems models for each identified technological intervention. This requires new approaches, such as a unified modeling framework, that integrates the 14 diverse technological systems constituting the E-W nexus. A comprehensive assessment of energy-water interdependencies requires integrating biotechnology solutions, energy generation (e.g., coal plants, powerline networks), hydrogeneration, regional water systems (e.g., treatment, distribution), climate drivers, consumption patterns, and economic impacts into a single model that produces, as output, how biotechnological innovations can reduce system coupling, while optimizing resource availability and socioeconomic outcomes. Near-Term Opportunity: There is an opportunity to produce an Integrated Assessment Model (IAM) that fuses geographic scales, systems (e.g., water, energy, economics, infrastructure), biotechnological viability assessments, earth system drivers, and demographic data into a single dashboard. Produced through partnerships with government, academia, and industry experts, this model will include AI/ML data integration, TEA projection, novel biotechnology interventions, technological learning curves, and scenario analysis. This IAM will serve as a unified decision support system, providing decisionmakers with comprehensive insights into viable biotechnological interventions that can decouple energy-water dependencies, enhancing system resilience in the near term. Success Measures: The IAM will feature a comprehensive success metrics dashboard that evaluates biotechnology interventions across systemic resilience, economic viability, and societal impact dimensions. The platform will deliver the following specific outputs to guide decision-makers in evaluating energy-water system interventions: (1) Water availability total increase amounts at the basin scale (i.e., aquifer recovery and recharge rates; (2)Percentage decreases in energy demand, measured in megawatt-hours (MWh), for desalination and purification processes; (3) Reduced cooling water withdrawals, in gallons per year; and (4) Volume of reclaimed water, in gallons per year, that meet regional quality requirements for conservation and/or agricultural reuse. AU - Patelli, Paolo A2 - Solander, Kurt A3 - Gonzalez-Esquer, Raul A4 - Xu, Chonggang A5 - Bower, Courtney A6 - Davis, Ryan A7 - Carruthers, John A8 - Quinn, Jason A9 - Thomas, Jeff DB - Energy-Water Resilience DP - Open EI | National Laboratory of the Rockies DO - KW - energy-water system KW - bioenergy KW - technology innovation KW - energy resiliency KW - energy use KW - decoupling energy-water systems KW - techno-economic analysis KW - energy-water interdependencies KW - energy generation KW - societal impacts KW - water availability KW - water treatment LA - English DA - 2026/01/16 PY - 2026 PB - LANL T1 - A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems UR - https://ewr.openei.org/submissions/57 ER -
Export Citation to RIS
Patelli, Paolo, et al. A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems . LANL, 16 January, 2026, Energy-Water Resilience. https://ewr.openei.org/submissions/57.
Patelli, P., Solander, K., Gonzalez-Esquer, R., Xu, C., Bower, C., Davis, R., Carruthers, J., Quinn, J., & Thomas, J. (2026). A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems . [Data set]. Energy-Water Resilience. LANL. https://ewr.openei.org/submissions/57
Patelli, Paolo, Kurt Solander, Raul Gonzalez-Esquer, Chonggang Xu, Courtney Bower, Ryan Davis, John Carruthers, Jason Quinn, and Jeff Thomas. A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems . LANL, January, 16, 2026. Distributed by Energy-Water Resilience. https://ewr.openei.org/submissions/57
@misc{EWR_Dataset_57, title = {A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems }, author = {Patelli, Paolo and Solander, Kurt and Gonzalez-Esquer, Raul and Xu, Chonggang and Bower, Courtney and Davis, Ryan and Carruthers, John and Quinn, Jason and Thomas, Jeff}, abstractNote = {Energy-water (EW) systems in the U.S. are deeply interconnected through complex networks vulnerable to disruptions, such as when a regional drought simultaneously impacts hydropower generation, thermoelectric production, and water availability across multiple sectors, producing knock-on economic effects. A fundamental challenge lies in integrating the theoretical and experimental work on the biotechnology side with TEA/systems models for each identified technological intervention. This requires new approaches, such as a unified modeling framework, that integrates the 14 diverse technological systems constituting the E-W nexus. A comprehensive assessment of energy-water interdependencies requires integrating biotechnology solutions, energy generation (e.g., coal plants, powerline networks), hydrogeneration, regional water systems (e.g., treatment, distribution), climate drivers, consumption patterns, and economic impacts into a single model that produces, as output, how biotechnological innovations can reduce system coupling, while optimizing resource availability and socioeconomic outcomes.

Near-Term Opportunity: There is an opportunity to produce an Integrated Assessment Model (IAM)
that fuses geographic scales, systems (e.g., water, energy, economics, infrastructure), biotechnological viability assessments, earth system drivers, and demographic data into a single dashboard. Produced through partnerships with government, academia, and industry experts, this model will include AI/ML data integration, TEA projection, novel biotechnology interventions, technological learning curves, and scenario analysis. This IAM will serve as a unified decision support system, providing decisionmakers with comprehensive insights into viable biotechnological interventions that can decouple energy-water dependencies, enhancing system resilience in the near term.

Success Measures: The IAM will feature a comprehensive success metrics dashboard that evaluates biotechnology interventions across systemic resilience, economic viability, and societal impact dimensions. The platform will deliver the following specific outputs to guide decision-makers in evaluating energy-water system interventions: (1) Water availability total increase amounts at the basin scale (i.e., aquifer recovery and recharge rates; (2)Percentage decreases in energy demand, measured in megawatt-hours (MWh), for desalination and purification processes; (3) Reduced cooling water withdrawals, in gallons per year; and (4) Volume of reclaimed water, in gallons per year, that meet regional quality requirements for conservation and/or agricultural reuse.}, url = {https://ewr.openei.org/submissions/57}, year = {2026}, howpublished = {Energy-Water Resilience, LANL, https://ewr.openei.org/submissions/57}, note = {Accessed: 2026-06-17} }

Details

Data from Jan 16, 2026

Last updated Jan 16, 2026

Submitted Jan 16, 2026

Contact

Paolo Patelli

Authors

Paolo Patelli

LANL

Kurt Solander

LANL

Raul Gonzalez-Esquer

LANL

Chonggang Xu

LANL

Courtney Bower

LANL

Ryan Davis

SNL

John Carruthers

Cornell University

Jason Quinn

Colorado State University

Jeff Thomas

EPRI

DOE Project Details

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

Project Lead

Project Number WP-057

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