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Analysis and optimization of integrated gas turbine, heat recovery steam generator and multi-effect thermal vapour compression desalination plant

机译:燃气轮机,余热回收蒸汽发生器和多效热蒸气压缩淡化装置的综合分析与优化

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摘要

The method and results of 4E (energy, exergy, economic and environmental) analysis and multi-objective optimization for a gas turbine, heat recovery steam generator and multi-effect thermal vapour compression desalination unit are investigated in this article. To optimize the system and to determine the optimal values of design parameters, the genetic algorithm was used. The first objective function was considered as the sum of investment and operational costs as well as penalty for producing NO_x emissions. The second objective function was the cycle total amount of exergy destruction. The optimal values of design parameters such as drum pressure of heat recovery steam generator, pinch point temperature in heat recovery steam generator, top brine temperature, last stage temperature, minimum temperature difference of condenser and number of effects were then estimated. Also, the effects of gas turbine part load as well as ambient temperature and fuel cost changes on the optimal values of design parameters were analysed.
机译:本文研究了燃气轮机,余热回收蒸汽发生器和多效热蒸汽压缩淡化装置的4E(能源,火用,经济和环境)分析和多目标优化的方法和结果。为了优化系统并确定设计参数的最佳值,使用了遗传算法。第一个目标函数被认为是投资和运营成本的总和以及产生NO_x排放的罚款。第二个目标函数是本能破坏的循环总量。然后估算了设计参数的最佳值,例如热回收蒸汽发生器的汽包压力,热回收蒸汽发生器的收缩点温度,最高盐水温度,最后一级温度,冷凝器的最小温差和作用次数。此外,分析了燃气轮机部分负荷以及环境温度和燃料成本变化对设计参数最佳值的影响。

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