Archives of Thermodynamics | |
Optimizing management of the condensing heat and cooling of gases compression in oxy block using of a genetic algorithm | |
?ukasz BartelaSilesian University of Technology, Institute of Power Engineering and Turbomachinery, Konarskiego 18, 44-100 Gliwice, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar1  Mateusz Brz?czekCorresponding authorSilesian University of Technology, Institute of Power Engineering and Turbomachinery, Konarskiego 18, 44-100 Gliwice, PolandEmailOther articles by this author:De Gruyter OnlineGoogle Scholar1  | |
[1] Silesian University of Technology, Institute of Power Engineering and Turbomachinery, Konarskiego 18, 44-100 Gliwice, Poland | |
关键词: Keywords: CO2 capture and compression; Air separation unit; Flue gas conditioning; Genetic algorithm; | |
DOI : 10.2478/aoter-2013-0038 | |
学科分类:能源(综合) | |
来源: Polska Akademia Nauk * Oddzial w Gdansku, Instytut Maszyn Przeplywowych / Polish Academy of Sciences, Institute of Fluid-Flow Machinery | |
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
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RO201902185919997ZK.pdf | 19KB | download |