CCS and Power Systems
Crosscutting Research - University Training and Research
Computational Fluid Dynamic Simulations of a Regenerative Process for Carbon Dioxide Capture in Advanced Gasification Based Power Systems
Performer: Illinois Institute of Technology
Project No: FE0003997
Program Background and Project Benefits
The Department of Energy (DOE) National Energy Technology Laboratory (NETL) promotes the increased scientific understanding of coal utilization through the University Coal Research (UCR) Program. Since the program’s inception in 1979, its primary objectives have been to (1) improve our understanding of the chemical and physical processes involved in the conversion and utilization of coal in an environmentally acceptable manner; (2) maintain and upgrade the coal research capabilities and facilities of U.S. colleges and universities; and (3) support the education of students in the area of coal science.
In alignment with these objectives, NETL supports Research & Development (R&D) in the area of gasification. Gasification is a process that converts carbon-based feedstocks such as coal into synthesis gas (syngas). This product can then be further converted into separate hydrogen (H2) and carbon dioxide (CO2) gas streams as a way to produce electricity from clean H2 fuel while preventing the release of CO2, an important greenhouse gas, to the atmosphere.
In an effort to enhance the performance of gasification systems, NETL has joined with the Illinois Institute of Technology in a project to model and perform simulations for a regenerative magnesium oxide-based (MgO-based) process for simultaneous removal of CO2 and enhancement of H2 production in coal gasification.
The project will advance the understanding of the MgO catalyst for use in coal gasification processes. The knowledge gained and CFD/ PBE model and simulations developed will be applied to simulate and aid in design of the advanced gasification based power systems. Development of this technology is a key element in achieving near-zero emissions while meeting system performance and cost goals.