MultiSector Dynamics

MultiSector Dynamics seeks to advance scientific understanding of the complex interactions, interdependencies, and co-evolutionary pathways of human and natural systems, including interdependencies among sectors and infrastructures. This includes advancing relevant socio-economic, risk analysis, and complex decision theory methods to lead insights into earth system science, while emphasizing the development of interoperable data, modeling, and analysis tools for integration within flexible modeling frameworks.

This program area's efforts inform some of the most significant energy, economic, and infrastructure decisions affecting the world today.

Program Area Description

The human-earth system—including settlements, infrastructure, natural resources, socio-economics, and interdependent sectors and natural systems—is highly complex and continuously changing, with stressors, constraints, and other factors that affect change taking many forms and influencing the system at varying spatial and temporal scales, often in unanticipated ways.

Scientific insights and tools emerging from MultiSector Dynamics hold significant potential to inform next-generation U.S. infrastructure and new development pathways for improved energy and economic security, including implications of and for technological and systems innovations.

Topical areas of focus in MultiSector Dynamics include:

  • Multi-model, multi-scale frameworks, software couplers, and component emulators
  • Interdependencies among energy, water, and land systems and the natural environment
  • Infrastructure, sectoral interactions, and resilience under rapid change
  • Urban morphologies, population dynamics, and landscape evolution
  • Simulation complexity in energy-intensive, multisector regions under stress (e.g., coasts)
  • Influences of extreme events and compounding stressors on system shocks and responses
  • Scenarios, sensitivity studies, uncertainty characterization, and interpretation of results
  • Data science, analytics, fusion methods, and machine learning

Research Emphasis

There is a particular emphasis on understanding the energy-water-land nexus under both realistic and idealized forcing scenarios, including the evaluation of scale-aware processes and probabilistic uncertainties that can lead to instability through thresholds and tipping points.

IAR Workshop Report
Latest sponsored workshop report, centered on an interagency activity involving multi-disciplinary science community input, addresses: Understanding Dynamics and Resilience in Complex Interdependent Systems – Prospects for a Multi-Model Framework and Community of Practice.

This major focus area seeks to understand the growing interdependencies and risks at the intersection of the energy, water, and land sectors. The recent disruptive effects and economic losses associated with the growing intensity, frequency, and persistence of droughts, floods, heat waves, and tropical storms in the United States have highlighted the importance of this research and integrated modeling capability. For example, energy is required for water and wastewater treatment, groundwater pumping, and large-scale inter-basin transfers. Needs, risks, and vulnerabilities of the coupled system are large and growing in the face of shifting weather and precipitation patterns, water supplies that depend on increasingly limited groundwater, transitions in regional economic development (including land use), as well as U.S. population shifts. In contrast, approximately 45% of water withdrawals in America’s rivers and streams are for energy applications, ranging from thermo-electric cooling (e.g., fossil and nuclear power plants) to domestic oil and gas recovery. Hydropower is similarly challenged to respond to increasing competition for limited water supply.

Besides the focus to understand the system dynamics governing interdependencies within the natural-human system, this area seeks to advance scientists' understanding of system nonlinearity and instability associated with multiple stressors that can lead to cascading failures in connected sectors and systems. An important characteristic of nonlinearity and system failure is the probabilistic interdependence near thresholds associated with extreme weather, severe drought, and infrastructure vulnerability. Consequently, MultiSector Dynamics supports the development of interoperable tools and methods for integration with agile, flexible earth system modeling frameworks, revealing a basic understanding of different levels of complexity required to analyze interdependency. 

Funding Opportunity Announcements

Announcements are posted on the DOE Office of Science Grants and Contracts Website and at Information about preparing and submitting applications, as well as the DOE Office of Science merit review process, is available at the DOE Office of Science Grants and Contracts Website. For current announcements visit BER Funding Opportunities.

Why MultiSector Dynamics' Research is Important

MultiSector Dynamics efforts are necessary to understand the nonlinear science involving natural-human interdependency and feedbacks on the earth system. This program area helps shape fundamental understanding of complex stressors on human systems and infrastructure, vulnerabilities and risks at the energy-water-land nexus, multisector dynamics, and more generally, implications for regional and global economic development in the face of changing weather patterns and extremes, advances in technology, availability of natural resources, and feedbacks to natural systems, including regional and global climates.  

Featured Reports

Recent Content

Recent Highlights

Hydropower currently accounts for more than one-quarter of the electricity produced in the western United States, so there is considerable interest in understanding how this resource may evolve under changing environmental conditions. Previous estimates of future hydropower generation have...
Credible projections of future changes in climate, energy, and related human and natural systems are dependent on realistic scenarios of future electricity system growth. However, electricity capacity expansion models typically do not account for water availability, interconnection costs,...
Future storm surges will be amplified by sea-level rise, but the spatial variability of this amplification has not been systematically addressed, in part due to nonlinear interactions that take place in different parts of a hurricane track. In this study, scientists from the Department of Energy’s...
Rapid changes in natural gas availability have resulted in significant shifts across the energy system and related sectors. At the same time, long-lived physical infrastructures such as natural gas pipelines are strongly influenced by time-evolving socioeconomic factors such as population changes,...
Water demand around the world is likely to rise throughout this century, potentially increasing demand-driven water stress. Researchers at the U.S. Department of Energy’s Pacific Northwest National Laboratory explored where demand-driven water scarcity might emerge in the future and what responses...

Recent Publications

In the western United States, 27% of electricity demand is met by hydropower, so power system planners have a key interest in predicting hydropower availability under changing climate conditions. Large-scale projections of hydropower generation are often simplified based on regression relationships...
The Capacity Expansion Regional Feasibility (CERF) model is an open-source geospatial model, written in Python and C++, that is designed to determine the on-the-ground feasibility of achieving a projected energy technology expansion plan. Integrated human-Earth systems models and grid expansion...
Considerations regarding the roles of advanced technologies are crucial in energy-economic modeling, as these technologies, while usually not yet commercially viable, could substitute for fossil energy when favorable policies are in place. To improve the representation of the penetration of...
With the use of a simplified prototype model domain and a dynamic modeling approach, this study shows that storm surge responds to sea-level rise (SLR) nonlinearly and the spatial distribution of the nonlinearity can be generalized as three distinct regions across the land-ocean boundary near the...
Changes in the natural gas market have spawned the need for pipeline infrastructure planning. Previous studies have analyzed natural gas infrastructure development largely independent of the interactions of the natural gas sector with the broader economy. However, natural gas infrastructure...