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A Probabilistic Framework for Uncovering Water-Energy Infrastructure Dependencies and Assessing Systemic Consequences
The coupling of water and energy systems is critical for ensuring resilient infrastructure, particularly as water plays an essential role in the safe and reliable operation of energy sources. The dependency on water becomes increasingly complex when energy systems are integrated w...
Yigitoglu, A., Muhlheim, M., Smith, A., Ramuhalli, P., and Berres, A.
Monitoring, Planning, and Management of Water Quality and Quantity for Resilient Water and Energy Systems
Both resilient systems where water is used for energy production and energy is used for treatment and operation depend not only on the quantity of water, but also quality and environmental health. Addressing gaps in environmental health and infrastructure condition/capability data...
Hansen, C., DeRolph, C., Allen-Dumas, M., Griffiths, N., Matson, P., Pilla, R., Siddik, A., Stevenson, L., and Johnson, R.
Improved quantification of river nutrient loading for better water quality and more efficient energy use
The focus of this paper is multi-sector dynamics involving agriculture practices, water quality and energy. Currently there lacks high-resolution spatiotemporal data regarding water quality and usage, forcing the planning for water treatment to adopt the conservative, worst-case a...
Tang, J., and Zhu, Q.
AI-Enhanced Hydropower Systems: Smart Dams for a Resilient Future
This paper focuses on water-energy, using AI for smart, holistic hydropower operations to enhance water for energy resilience.
The existing challenges include (a) increasing demand for water and electricity, requiring a shift to flexible, real-time hydropower operations due to ch...
Varadharajan, C., Ajami, N., Brodie, E., Ciulla, F., Falco, N., Feldman, D., Newcomer, M., Dwivedi, D., Li, Y., Nakata, R., Nakata, N., Nico, P., Williams, K., Mahoney, M., Ramakrishnan, L., and Cholia, S.
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.
Advancing Energy-Water Resilience through Integrated Science and Technology for Natural Infrastructure Management
This white paper focuses on water for energy.
The challenge is that ecosystems are under increasing stress from rising temperatures, prolonged drought, and intensifying disturbances like wildfire, insects, and land-use change, which can impact the hydrologic capacity of watershed...
Dickman, L., Atchley, A., Giovando, J., Fluet-Chouinard, E., Xu, C., and McPherson, T.
Energy-Water System Resilience to Flooding
This white paper addresses the resilience challenges and opportunities within interdependent energy-water systems, particularly under the stress of flooding events. It describes how large-scale flood events impact these systems, posing risks such as operational constraints, infras...
McPherson, T., Giovando, J., Hou, H., Daniel, B., Bracken, C., Li, X., and Bixler, T.
Supporting adoption of advanced forecast informed reservoir operations tools to improve agricultural and municipal water and energy outcomes
Expanding the use of advanced forecast-informed reservoir operations tools can optimize or improve water delivery and storage for energy generation, irrigation, and municipal uses. Advanced forecast-informed data and tools are increasingly being integrated into large-scale reservo...
Jorgensen, J., Giovando, J., Pracheil, B., Hou, H., and Niazi, H.
Gaps Between Western U.S. Reservoir Inflows and Headwater Precipitation Timing, Amount, and Phase
Snowmelt from mountain headwater basins supplies approximately 80% of the runoff to reservoirs in the western United States (WUS), and is therefore a key component of western hydropower. Yet predicting runoff from hydrometeorological data in complex terrain (and its sensitivity to...
Rudisill, W., and Feldman, D.
Revolutionizing Water-Energy Infrastructure Resilience through Distributed Sensing and Digital Twins
This white paper addresses the intersection of Water for Energy and Energy for Water, proposing foundational technology to enhance the resilience and operational longevity of critical national assets, including hydropower facilities and marine energy systems.
The core challenge i...
Luo, L.