Skip to main content
Energy Systems and Infrastructure Assessment

TEA and Infrastructure Assessment

From supply chains to end-use infrastructure, providing integrated techno-economic insights that enable informed investment and accelerate technology adoption.

Argonne’s techno-economic analysis (TEA) evaluates the economic value proposition of technologies, products and services and identifies key cost drivers along product supply chain to inform R&D and business decision across energy systems and technologies. 

The TEA and Infrastructure Analysis Department supports technology innovation and development through first principles-based modeling and TEA, at various development stages—ranging from lab to pilot, demonstration, and commercial scales. The department evaluates commercial and emerging technologies spanning a broad set of technologies across sectors, including hydrogen (H2) production, delivery and fueling, electric vehicle (EV) fast charging, and end-use applications; oil refining, petrochemicals; manufacturing (iron and steel) processes; waste-stream valorization; and CO2 capture, transportation, and utilization; ammonia (NH3) production, transportation and end use application; and nuclear energy applications. 

Our approaches to modeling and analysis include:

  • Technology modeling includes Aspen based process simulation and Computational Fluid Dynamics (CFD).
  • Nuclear energy integration with industrial and transportation applications to provide power, process heat and hydrogen.
  • TEA modeling of entire product supply chain, from resource to production and manufacturing processes.
  • Infrastructure modeling (e.g., storage, trucking, rail and pipeline transportation) to end use applications. 

The department has developed several highly recognized and important models— Heavy-Duty Battery Electric Vehicle Infrastructure Scenario Analysis, Hydrogen Delivery Scenario Analysis, Hydrogen Carrier Scenario Analysis, and a CO2 pipeline network model— these models cover supply chain infrastructures that are critical for connecting supply and demand, thus enabling economy-wide growth. Many of these models are shared in public domain. Learn more at https://​hdsam​.es​.anl​.gov

Team members