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A Coupled Energy-Water Storage Architecture for Resilient Urban Power and Water Distribution

This white paper proposes a coupled energy-water storage architecture to enhance the resilience of urban power and water distribution networks. The concept leverages GLIDES concept (Ground-Level Integrated Diverse Energy Storage), which is a pneumo-hydraulic storage technology dev...

Chen, Y., and Sun, J.

Advancing Industrial Sector Water Management for Energy Recovery in Water Supply, In-Process, and Discharge Systems

This paper addresses both water-for-energy and energy-for-water by integrating hydropower generation to improve industrial water system resilience. Conduit hydropower is produced by capturing flowing water under pressure in closed-pipe systems and converting the energy into usable...

Bhandari, I., Billings, B., DeNeale, S., Chu, A., and Meira, K.

Hydrotwin: an AI-based physics and optimization framework for improved water resource resilience in systems experiencing adverse events

This white paper focuses on water for energy. As we move ahead into an uncertain future for water resource demand and supply, a massive challenge exists to optimize water systems to be resilient to a range of press/pulse extreme event states and conditions. Optimal decision-makin...

Bennett, K., Schwenk, J., and Garcia, M.

Multisector Energy-Water Management

This white paper focuses on energy-water supply, storage, transmission, and demand across multiple sectors. Challenges include separate planning, operation, and management of energy and water; compounding sectors compete for energy and water supplies; increase in risk and uncerta...

Cohen, S., and Boren, B.

Energy Needs for Water Supply Expansion in Urban Areas

Rising urban water demand requires new water supply provisioning in cities. Understanding and quantifying the energy-intensity of new water supply options can help planners identify pathways for water supply expansion with manageable energy requirements. There is opportunity for ...

Deines, J., Catalano, A., Sinnott, V., Yoon, J., Sun, N., and Duan, Z.

Quantifying Energy Use across U.S. Water Sectors: A Scalable AI/ML-Driven Framework for Data Integration and Resilience Planning

This white paper explores opportunities to quantify and characterize energy use across major U.S. water sectors, including irrigation, water supply, and water treatment, with a focus on energy for water dimension. A scalable AI/ML-driven framework will be developed to harmonize fr...

Ghimire, G., Bhanja, S., and Martinez, R.