Control Structure Selection for the Elevated-Pressure Air Separation Unit in an IGCC Power Plant: Self-Optimizing Control Structure for Economical Operation

2014 ◽  
Vol 53 (18) ◽  
pp. 7479-7488 ◽  
Author(s):  
Kosan Roh ◽  
Jay H. Lee
Keyword(s):  
Power Plant ◽  
Control Structure ◽  
Elevated Pressure ◽  
Air Separation ◽  
Separation Unit ◽  
Structure Selection ◽  
Air Separation Unit ◽  
Selection For ◽  
Optimizing Control ◽  
Igcc Power Plant

Simulation and optimization of ion transfer membrane air separation unit in an IGCC power plant

2018 ◽  
Vol 129 ◽  
pp. 1478-1487 ◽  
Author(s):  
Long Han ◽  
Guangyi Deng ◽  
Zheng Li ◽  
Yongchun Fan ◽  
Hao Zhang ◽  
...  
Keyword(s):  
Power Plant ◽  
Air Separation ◽  
Ion Transfer ◽  
Separation Unit ◽  
Simulation And Optimization ◽  
Air Separation Unit ◽  
Igcc Power Plant

scholarly journals Optimizing management of the condensing heat and cooling of gases compression in oxy block using of a genetic algorithm

2013 ◽  
Vol 34 (4) ◽  
pp. 199-214
Author(s):  
Mateusz Brzęczek ◽  
Łukasz Bartela
Keyword(s):  
Genetic Algorithm ◽  
Power Plant ◽  
Flue Gas ◽  
Air Separation ◽  
Separation Unit ◽  
Supercritical Steam Parameters ◽  
Water Heaters ◽  
Decision Variables ◽  
Air Separation Unit ◽  
Steam Parameters

Abstract This paper presents the parameters of the reference oxy combustion block operating with supercritical steam parameters, equipped with an air separation unit and a carbon dioxide capture and compression installation. The possibility to recover the heat in the analyzed power plant is discussed. The decision variables and the thermodynamic functions for the optimization algorithm were identified. The principles of operation of genetic algorithm and methodology of conducted calculations are presented. The sensitivity analysis was performed for the best solutions to determine the effects of the selected variables on the power and efficiency of the unit. Optimization of the heat recovery from the air separation unit, flue gas condition and CO2 capture and compression installation using genetic algorithm was designed to replace the low-pressure section of the regenerative water heaters of steam cycle in analyzed unit. The result was to increase the power and efficiency of the entire power plant.

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