Theory and Modeling for CO2 and its Mixtures in Energy Systems
This project aims to improve the accuracy of CO2 mixture data for energy systems by combining theoretical models with experimental data.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: February 1, 2025 | May 1, 2025 | August 1, 2025 | November 1, 2025
Funding Amounts: Stipend approximately $82,764 per year plus $3,000 travel allowance; typical appointment duration 2 years.
Summary: Postdoctoral fellowship to advance theoretical and modeling research on CO2 and its mixtures for energy systems, supporting carbon capture and advanced power cycles.
Key Information: Open to U.S. citizens with a Ph.D. earned within the last 5 years; research conducted onsite at NIST in Boulder, CO; application requires contacting a Research Adviser prior to applying.
Description
This postdoctoral research opportunity at the National Institute of Standards and Technology (NIST) focuses on improving the theoretical understanding and modeling of carbon dioxide (CO2) and its mixtures with other gases, particularly water, in energy systems. The research supports efforts to address global climate change and energy security by enhancing carbon capture and sequestration technologies and developing advanced power cycles that use CO2-rich mixtures as working fluids instead of steam.
The project aims to improve thermophysical property data through a combination of molecular-level computational chemistry, molecular simulation, and the development of state-of-the-art equations of state and transport property correlations. Collaboration with researchers at NIST and worldwide is emphasized to integrate theory and experiment for the best possible descriptions of these industrially important systems.
Key research themes include:
- Thermodynamics and transport properties of CO2 and CO2-rich mixtures
- Molecular simulation and computational chemistry methods
- Development of equations of state for complex gas mixtures
- Application to fossil and biomass-fueled power cycles and carbon sequestration processes
