Equation-Based Design, Integration, and Optimization of Oxycombustion Power Systems

  • Alexander W. DowlingEmail author
  • John P. Eason
  • Jinliang Ma
  • David C. Miller
  • Lorenz T. Biegler


The application of “systems-based tools’’ including exergy/pinch analysis and process simulation has facilitated increases in the thermal efficiency of ambient pressure oxycombustion coal-fired power systems with carbon capture from 36 to 39–40 %LHV, while also considering capital costs. This corresponds to a decrease in the energy penalty 10 %-points to 6–7 %-points (absolute), relative to reference air-fired coal power plants without CO2 capture (46 %LHV). These efficiency improvements are primarily due to tailored next-generation air separation systems and plant-wide heat integration. Furthermore, oxycombustion power systems are an ideal candidate for numerical optimization, given the complex interactions between its five subsystems. This chapter extensively surveys the oxycombustion literature and summarizes four key design questions. A new, fully equation-based, flowsheet optimization framework is then introduced and applied to three oxycombustion-related case studies: design of a minimum energy air separation unit to produce an O2 enriched stream for the boiler, optimization of the CO2 polishing unit and compression train to minimize specific energy, and maximization of thermal efficiency in the oxy-fired steam cycle using a hybrid 1D/3D boiler model.


Trust Region Computational Fluid Dynamic Simulation Exergy Analysis Heat Integration Complementarity Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported by the U.S. Department of Energy, Office of Fossil Energy as part of the Carbon Capture Simulation Initiative (CCSI). This technical effort was performed in support of the National Energy Technology Laboratory’s ongoing research under the RES contract DE-FE0004000. This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Alexander W. Dowling
    • 1
    Email author
  • John P. Eason
    • 1
  • Jinliang Ma
    • 2
  • David C. Miller
    • 3
  • Lorenz T. Biegler
    • 1
  1. 1.Carnegie Mellon UniversityPittsburghUSA
  2. 2.AECOM & National Energy Technology LaboratoryMorgantownUSA
  3. 3.National Energy Technology LaboratoryPittsburghUSA

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