Exergy analyses and optimization of a single flash geothermal power plant combined with a trans-critical CO2 cycle using genetic algorithm and Nelder–Mead simplex method

被引：0
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作者：
Jian Huang
Azher M. Abed
Sayed M. Eldin
Yashar Aryanfar
Jorge Luis García Alcaraz
机构：
[1] Xijing University,Air Conditioning and Refrigeration Technologies Engineering Department
[2] Al-Mustaqbal University College,Faculty of Engineering, Center of Research
[3] Future University in Egypt,Department of Electric Engineering and Computation
[4] Autonomous University of Ciudad Juárez,Department of Industrial Engineering and Manufacturing
[5] Autonomous University of Ciudad Juárez,undefined
来源：
Geothermal Energy | / 11卷
关键词：
Optimization; Geothermal; Genetic algorithm; Nelder–Mead simplex method; Exergy efficiency; Exergy destruction;
D O I：
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学科分类号：
摘要：
Designing and simulating a combined single flash geothermal cycle with a trans-critical carbon dioxide cycle in the EES software.Genetic algorithms (GA) and the Nelder–Mead simplex (NMS) method are used to optimize the proposed system to increase the system’s exergy efficiency.Examining the system’s various components’ energy destruction rates.
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