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Thermo-economic optimization of low-grade waste heat recovery in Yazd combined-cycle power plant (Iran) by a CO2 transcritical Rankine cycle

机译:CO2超临界朗肯循环对亚兹德联合循环发电厂(伊朗)低品位废热回收的热经济优化

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A transcritical CO2 Rankine cycle is proposed for recovering low-grade waste heat of Yazd combined-cycle power plant in Iran. Each power generation module of this plant consists of two 159 MW Siemens SGT-5-2000E gas turbines and one 132 MW steam turbine. Reducing exhaust gas temperature from 150 degrees C to 70 degrees C, the plant can generate excessive power. From thermodynamics approach, it is demonstrated that by fixing the maximum temperature at 145 degrees C and varying the maximum pressure, the efficiency and the net power output are maximized at P-max = 185 bar. In the aforementioned operating point, about 6.3 MW is retained for the selected power plant with a nominal 450 MW of power generation. A more actual case considering thermodynamic losses and economic considerations is then investigated. Genetic algorithm is implanted to conduct a parametric optimization to maximize the benefit-cost ratio which is defined on the basis of total bare module cost and net power output. The results indicate that the cycle costs are more influenced by the maximum pressure rather than the maximum temperature. Through this parametric optimization, the CO2 cycle can produce about 4.04 MW. This is about 0.9% of the plant capacity and increases the total efficiency about 0.4%. (C) 2015 Elsevier Ltd. All rights reserved.
机译:提议采​​用跨临界CO2朗肯循环来回收伊朗亚兹德联合循环发电厂的低级废热。该工厂的每个发电模块均由两台159 MW西门子SGT-5-2000E燃气轮机和一台132 MW蒸汽轮机组成。将废气温度从150摄氏度降低到70摄氏度,工厂会产生过量的电力。从热力学方法可以看出,通过将最高温度固定在145摄氏度并改变最大压力,可以在P-max = 185 bar时使效率和净功率输出最大化。在上述工作点中,选定的发电厂将保留约6.3 MW的功率,额定发电量为450 MW。然后研究一种考虑热力学损失和经济因素的更实际案例。植入遗传算法以进行参数优化,以最大化基于总裸模块成本和净功率输出定义的效益成本比。结果表明,循环成本受最大压力而不是最大温度的影响更大。通过此参数优化,CO2循环可产生约4.04 MW。这约占工厂产能的0.9%,总效率提高约0.4%。 (C)2015 Elsevier Ltd.保留所有权利。

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