Data Modeling Analysis

What We Do

Around the world, stable and secure social, economic, and political systems are founded on a reliable supply of resources, including water, energy, and food. Yet natural events and human influences challenge the ability to ensure resources are available at local, regional, and global scales.

Researchers at Sandia National Laboratories develop and apply advanced data, modeling, and analysis technologies to improve the sustainability and resilience of interdependent water, energy, and food systems. Key to our approach is broad multi-sector, multi-disciplinary collaboration among experts and stakeholders to understand the interactions, interdependencies, feedbacks, and long-term consequences of future remediation and management approaches.

Data

With the help of water managers, water availability was mapped for over 3000 watersheds (HUC-8) throughout the United States.

Data provide the foundation for any modeling or analysis project. Accordingly, we develop data sets that illustrate the dynamics between energy, water, and food production and supply. Specific examples include:

Working with state water managers, we have mapped the availability and cost of water at high spatial resolution throughout the United States.
- Download the Water Availability and Cost papers here and here.
- View the interactive Water Availability and Cost data (in process)
- Download the Water Availability and Cost data (in process)
With the assistance of power plant operators, we have characterized plant-level details concerning water related threats (drought, flood, discharge) and remedial measures taken to mitigate impacts.

Modeling

Using the Valdez acequia (a communally-managed irrigation system in northern New Mexico) as a simulation case study, we evaluate the impact of that community’s social structure in governing its responses to water availability stresses posed by climate change. A system dynamics model was developed.

We use a range of modeling tools to simulate coupled natural-human dynamics central to the function of energy-water-food systems. Our modeling experience transcends multiple sectors, multiple scales, and multiple modeling platforms. We have:

Integrated water and climate constraints into the long-term transmission planning of the Eastern, Western and Texas Interconnections.
- Access the paper, “Water Supply as a Constraint on Transmission Expansion Planning in the Western Interconnection”
- Access the paper, “Geographic Footprint of Electricity Use for Water Services in the Western U.S.”
Developed an integrated assessment software tool (Water, Energy, and Carbon Sequestration Model [WECSsim]) to calculate the potential performance, location, and cost characteristics with a national CO₂ storage program utilizing geologic saline formations.
- Download the WECSsim User’s Manual
- Download WECSsim
Developed a decision support tool that aids the Bureau of Land Management’s (BLM’s) role of sustainably managing water resources in Southeast New Mexico in light of increasing water demand for oil and gas extraction.
- Water Resource Assessment in the New Mexico Permian Basin

Analysis

Using text analytics and machine learning, Sandia has evaluated relationships in water resource coverage in a million articles from local newspapers.

We employ relational, geospatial and advanced data analytic methods to extract critical understanding and relationships from complex data sets. We have:

Explored the heterogeneous footprint of energy use for water sector services including large-scale conveyance, agricultural pumping, drinking water and wastewater treatment across the United States.
Demonstrated the importance of power plant operations (i.e., operating cooling system when power system is off-line; power system cycling) on water withdrawal and consumption rates of thermoelectric power plants.
Mapped watersheds vulnerable to energy-water conflicts across the twenty-one Asia-Pacific Economic Cooperation (APEC) member economies.
Evaluated coverage of water resources in local newspapers using text analytics and machine learning to understand the links between physical and social phenomena such as drought and regional land use patterns.

Contact

Stephanie Kuzio
spkuzio@sandia.gov