Thermodynamic analysis and optimization of an ammonia-water power system with LNG (liquefied natural gas) as its heat sink
Thermodynamic analysis and optimization of an ammonia-water power system with LNG (liquefied natural gas) as its heat sink
复制标题
以LNG（液化天然气）为散热器的氨水发电系统热力学分析与优化
DOI：
10.1016/j.energy.2012.11.034
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发表时间：
2013-02
期刊：
影响因子：
9
通讯作者：
Dai, Yiping
中科院分区：
文献类型：
--
作者：
Wang, Jiangfeng;Yan, Zhequan;Wang, Man;Dai, Yiping
鉴于氨-水在两相加热过程中的良好性能和液化天然气冷能大的特点，提出了一种以液化天然气为散热器的氨-水发电系统，以利用低品位余热。基于热力学数学模型，从热力学和经济学的角度考察了热回收蒸汽发生器的关键热力学设计参数，包括涡轮进口压力、涡轮进口温度、氨质量分数、夹紧温差和接近温差对系统性能的影响。为获得最优性能，采用NSGA-II （non - dominant sorting genetic algorithm-II）多目标优化，从热力学和经济两个方面寻找最优的热力设计参数。在给定余热条件下，选取用能效率、总换热能力和汽轮机尺寸参数作为三个目标函数，实现用能效率最大化，总换热能力和汽轮机尺寸参数最小化。结果表明，涡轮进口压力、涡轮进口温度、氨质量分数、夹紧温差和接近温差对系统性能有显著影响。通过多目标优化，得到了氨-水电力系统的Pareto边界解。
Due to a good behavior of ammonia-water during the two-phase heat addition process and the liquefied natural gas with great cold energy, an ammonia-water power system with LNG as its heat sink is proposed to utilize the low grade waste heat. Based on the thermodynamic mathematical models, the effects of key thermodynamic design parameters, including turbine inlet pressure, turbine inlet temperature, ammonia mass fraction, pinch temperature difference and approach temperature difference in the heat recovery vapor generator, on the system performance are examined from the view of both thermodynamics and economics. To obtain the optimum performance, multi-objective optimization is conducted to find the best thermodynamic design parameters from both thermodynamic and economic aspects using NSGA-II (Non-dominated sorting genetic algorithm-II). The exergy efficiency, total heat transfer capability and turbine size parameter are selected as three objective functions to maximize the exergy efficiency, and minimize the total heat transfer capability and turbine size parameter under the given waste heat conditions. The results show that turbine inlet pressure, turbine inlet temperature, ammonia mass fraction, pinch temperature difference and approach temperature difference have significant effects on the system performance. By multi-objective optimization, the Pareto frontier solution for the ammonia-water power system is obtained.
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