Thermodynamic Optimization and Part-load Analysis of the NET Power Cycle

Abstract This paper performs the thermodynamic optimization and part-load analysis of the NET Power cycle (also called Allam cycle), a natural-gas-fired oxy-combustion cycle featuring 100% CO2 capture level, very high net electric efficiency, and potentially near-zero emissions level. To determine the maximum achievable cycle efficiency and optimal cycle variables, an Aspen Plus flowsheet including accurate first-principle models of the main equipment units has been developed and combined with a black-box optimization algorithm. The corresponding maximum cycle efficiency is equal to 55.35% (with 100% CO2 capture). Optimization-based sensitivity analyses are performed to explore the neighborhood of the maximum efficiency cycle design with the aim of finding combinations of the cycle variables which lead to reduced costs and thermo-mechanical stress of the most critical components. Finally, the part-load performance of the optimized NET Power cycle has been analyzed. Results indicate that in the load range 100-40% the cycle (excluding the ASU) features a considerably lower efficiency decrease compared to a standard combined cycle. This result, showing the possibility of efficiently operating the cycle also at part-loads, further increases the attractiveness of the NET Power cycle.

[1]  Rodney John Allam,et al.  The Oxy-Fuel, Supercritical CO2 Allam Cycle: New Cycle Developments to Produce Even Lower-Cost Electricity From Fossil Fuels Without Atmospheric Emissions , 2014 .

[2]  Robert Michael Lewis,et al.  Implementing Generating Set Search Methods for Linearly Constrained Minimization , 2007, SIAM J. Sci. Comput..

[3]  D. Che,et al.  Effect of vapor condensation on forced convection heat transfer of moistened gas , 2007 .

[4]  T. S. Kim,et al.  Comparative analysis on the part load performance of combined cycle plants considering design performance and power control strategy , 2004 .

[5]  Russell C. Eberhart,et al.  Solving Constrained Nonlinear Optimization Problems with Particle Swarm Optimization , 2002 .

[6]  Matthias Finkenrath,et al.  Cost and Performance of Carbon Dioxide Capture from Power Generation , 2011 .

[7]  Paolo Chiesa,et al.  Oxy-turbine for Power Plant with CO2 Capture , 2017 .

[8]  Emanuele Martelli,et al.  Thermodynamic analysis and numerical optimization of the NET Power oxy-combustion cycle , 2016 .

[9]  Ennio Macchi,et al.  A Thermodynamic Analysis of Different Options to Break 60% Electric Efficiency in Combined Cycle Power Plants , 2004 .

[10]  Emanuele Martelli,et al.  Numerical optimization of combined heat and power Organic Rankine Cycles – Part B: Simultaneous design & part-load optimization , 2015 .

[11]  M. El-Masri On Thermodynamics of Gas-Turbine Cycles: Part 2—A Model for Expansion in Cooled Turbines , 1986 .

[12]  Edoardo Amaldi,et al.  PGS-COM: A hybrid method for constrained non-smooth black-box optimization problems: Brief review, novel algorithm and comparative evaluation , 2014, Comput. Chem. Eng..

[13]  Ignacio E. Grossmann,et al.  A structural optimization approach in process synthesis. II: Heat recovery networks , 1983 .

[14]  Edoardo Amaldi,et al.  PGS-COM: A hybrid method for non-smooth black-box constrained optimization problems , 2014 .

[15]  S. L. Dixon,et al.  Fluid mechanics, thermodynamics of turbomachinery , 1966 .

[16]  Rodney John Allam,et al.  High Efficiency and Low Cost of Electricity Generation from Fossil Fuels While Eliminating Atmospheric Emissions, Including Carbon Dioxide☆ , 2013 .

[17]  Ignacio E. Grossmann,et al.  A structural optimization approach in process synthesis—I: Utility systems , 1983 .