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Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-Cogeneration System

机译:LNG冷热电联产系统的多目标热经济学优化

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Liquefied natural gas (LNG) cold utilization systems are feasible options for the inland and stranded regions where the conventional pipeline technology is challenging. For the best operation conditions of the systems in the real engineering applications, the optimization is a significant step after the design and analysis steps. This study aims to optimize an LNG cold utilized micro-cogeneration system by using the multiobjective optimization strategy with the genetic algorithm. Thermodynamic and thermoeconomic investigations are performed, and then the multiobjective optimization study is carried out according to the net generated power rate, exergetic efficiency, and the levelized product cost as multiobjectives. The study is conducted between 288.15 K and 313.15 K, and the optimum operation conditions are detected between 301.0 K and 302.5 K with respect to the different relative humidities.
机译:液化天然气(LNG)冷利用系统是内陆和滞留地区的可行选择,而传统管道技术面临挑战。为了在实际工程应用中获得最佳的系统运行条件,优化是设计和分析步骤之后的重要一步。这项研究旨在通过将多目标优化策略与遗传算法结合使用来优化LNG冷热电联产系统。进行热力学和热经济学研究,然后以净发电率,能量效率和产品成本平准为多目标,进行多目标优化研究。该研究在288.15 K和313.15 K之间进行,并且针对不同的相对湿度,在301.0 K和302.5 K之间确定了最佳工作条件。

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