CCS and Power Systems
Carbon Capture - Post-Combustion Capture
Low-Energy Solvents for Carbon Dioxide Capture Enabled by a Combination of Enzymes and Ultrasonics
Performer: Novozymes North America Inc.
Project No: FE0007741
Program Background and Project Benefits
The mission of the U.S. Department of Energy/National Energy Technology Laboratory (DOE/NETL) Existing Plants, Emissions, & Capture (EPEC) Research & Development (R&D) Program is to develop innovative environmental control technologies to enable full use of the nation’s vast coal reserves, while at the same time allowing the current fleet of coal-fired power plants to comply with existing and emerging environmental regulations. The EPEC R&D Program portfolio of post- and oxy-combustion carbon dioxide (CO2) emissions control technologies and CO2 compression is focused on advancing technological options for the existing fleet of coal-fired power plants in the event of carbon constraints.
Pulverized coal (PC) plants burn coal in air to produce steam and comprise 99 percent of all coal-fired power plants in the United States. CO2 is exhausted in the flue gas at atmospheric pressure and a concentration of 10 to 15 percent by volume. Post-combustion separation and capture of CO2 is a challenging application due to the low pressure and dilute concentration of CO2 in the waste stream, trace impurities in the flue gas that affect removal processes, and the parasitic energy cost associated with CO2 capture and compression. Solvent-based CO2 capture involves selective chemical or physical absorption of CO2 from flue gas into a liquid solvent and the recovery of the CO2 from the solvent. Although this method is used commercially to remove CO2 from industrial gases, it has not been applied to the removal of CO2 from large volumes of coal-fired power plant flue gas due to significant cost and efficiency penalties. The development of solvent-based processes with low energy requirements and high capture efficiencies are a key research focus.
Successful completion of this project will result in significant progress toward reducing the monetary cost and efficiency penalties incurred with currently available CO2 removal and recovery technologies when used on PC-fired boilers. The net effect is progress toward DOE’s goal of limiting electricity cost increases due to CO2 emissions control to 35 percent, while capturing at least 90 percent of the CO2 from the flue gas. It is anticipated that the proposed system will be able to be incorporated into existing coal-fired plants without major obstacles, providing a viable route for enabling CO2 emissions reductions while keeping coal a major energy resource.
The overall project goal is to further develop a solvent-based post-combustion CO2 capture technology and verify its ability to significantly reduce parasitic energy requirements and make significant progress toward meeting DOE cost and efficiency targets.
The project objectives are to advance the novel capture technology through design, integration, and testing at bench-scale using best-candidate components from prior research by (1) obtaining sufficient laboratory data to fully support an analysis of the technology being developed; (2) performing bench-scale pilot work that will prove and refine the earlier analyses and confirm the suitability of the CA catalyst; (3) fully evaluating the technical and economic suitability of the process, including a commercial design and cost estimate; and (4) utilizing the pilot data to refine the technical analysis, update the commercial plant design and costs and identify environmental, health, and safety (EH&S) issues.
Measure and collect remaining laboratory data needed to design the bench-scale system.
Conduct an initial technical and economic feasibility study.
Design, build, and perform shakedown testing of bench-scale unit components.
Complete construction and shakedown testing of integrated bench-scale system.
Conduct bench-scale parametric testing and monitoring.
Complete an EH&S risk assessment.
Finalize technology and cost assessment based on project data.