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

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 Scholar; ?ukasz BartelaSilesian University of Technology Institute of Power Engineering and Turbomachinery Konarskiego 18 44-100 Gliwice PolandOther articles by this author:De Gruyter OnlineGoogle Scholar

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

机译：使用遗传算法优化对氧气块中冷凝热和气体压缩的冷却管理

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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.

机译：本文介绍了采用超临界蒸汽参数运行的参比氧燃烧块的参数，该参比燃烧块配备了空气分离装置和二氧化碳捕集与压缩装置。讨论了在所分析的电厂中回收热量的可能性。确定了优化算法的决策变量和热力学函数。介绍了遗传算法的工作原理和进行计算的方法。进行灵敏度分析以获得最佳解决方案，以确定所选变量对设备功率和效率的影响。设计了利用遗传算法优化空气分离装置的热回收，烟气状况以及CO2捕集和压缩装置的设计，以取代分析装置中蒸汽循环再生式热水器的低压段。结果是提高了整个电厂的功率和效率。

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《Archives of Thermodynamics》 |2013年第4期|共页
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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 Scholar; ?ukasz BartelaSilesian University of Technology Institute of Power Engineering and Turbomachinery Konarskiego 18 44-100 Gliwice PolandOther articles by this author:De Gruyter OnlineGoogle Scholar;
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1. Optimizing management of the condensing heat and cooling of gases compression in oxy block using of a genetic algorithm [J] . Mateusz Brz?czek, ?ukasz Bartela Archives of Thermodynamics . 2013,第4期

机译：使用遗传算法优化对氧气块中冷凝热和气体压缩的冷却管理
2. Simulation-based optimization of heating and cooling seasonal performances of an air-to-air heat pump considering operating and design parameters using genetic algorithm [J] . Lee Sang Hun, Jeon Yongseok, Chung Hyun Joon, Applied thermal engineering: Design, processes, equipment, economics . 2018,第期

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

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