B. B. Kanbur, S. Dubey, Xiang Liming, Choo Hoong, F. Duan
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引用次数: 1
Abstract
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.
对于传统管道技术面临挑战的内陆和搁浅地区来说,液化天然气(LNG)冷利用系统是可行的选择。为了使系统在实际工程应用中达到最佳运行状态,优化是设计和分析之后的重要步骤。本研究采用遗传算法的多目标优化策略,对LNG冷利用微热电联产系统进行优化。在此基础上,以净发电率、用能效率和平准化产品成本为多目标进行了多目标优化研究。在288.15 K ~ 313.15 K范围内进行研究,在301.0 K ~ 302.5 K范围内对不同相对湿度下的最佳操作条件进行了检测。