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4E analysis and tri-objective optimization of a triple-pressure combined cycle power plant with combustion chamber steam injection to control NOx emission

机译:具有燃烧室蒸汽喷射的三重压力联合循环发电厂的图4E分析和三目标优化控制NOx排放

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This article presents a novel triple-pressure combined cycle power plant (CCPP) with a heat recovery steam generator (HRSG) configured with heat exchangers of multiple pressure levels, same as the real case. In addition, combustion chamber steam injection is added to the top cycle in order to reduce hazardous emissions. The research investigates energy, exergy, economic, and environmental aspects of the system to initiate sustainable development in said areas. A thorough parametric study is carried out to evaluate the effects of steam injection and other decision variable on emissions and system performance. Then, the total cost rate and the CO2 index are minimized while maximizing the second law efficiency via a tri-objective optimization using the genetic algorithm. The outcome of the economic analysis is that the HRSG has the maximum total cost rate among all the components, namely 0.1673 $/s. The environmental impact assessments indicate that the CO2 and NO emission has considerable molar fractions of 0.035 and 6.88 x 10(-4), respectively. As a result of the tri-objective optimization, a 3D Pareto Frontier is presented, which pointed out the maximum attainable exergy efficiency is 50.32%, as well as the minimum total cost rates of 8.04 $/s and CO2 index of 0.34 kg/kWh. Finally, the scatter distribution of major decision variables revealed the optimum range of decision variables in which the optimum points of the Pareto Frontier are obtained. Accordingly, the scatter distribution showed that 46 kg s(-1) is the optimum value for steam injection flow rate in terms of efficiency, cost and emission optimization.
机译:本文介绍了一种新型的三压联合循环发电厂(CCPP),其热回收蒸汽发生器(HRSG)配置有多个压力等级的热交换器,与实际情况相同。此外,燃烧室蒸汽喷射被添加到顶部循环中,以减少有害排放。该研究调查了该系统的能源、火用、经济和环境方面,以启动上述地区的可持续发展。进行了全面的参数研究,以评估蒸汽喷射和其他决策变量对排放和系统性能的影响。然后,通过使用遗传算法的三目标优化,使总成本率和CO2指数最小化,同时最大化第二定律效率。经济分析的结果是,余热锅炉在所有组件中的总成本率最高,即0.1673$/s。环境影响评估表明,CO2和NO排放的摩尔分数分别为0.035和6.88 x 10(-4)。作为三目标优化的结果,提出了一个三维帕累托前沿,指出可达到的最大火用效率为50.32%,最低总成本率为8.04$/s,CO2指数为0.34 kg/kWh。最后,主要决策变量的分散分布揭示了决策变量的最佳范围,在该范围内可获得帕累托前沿的最佳点。因此,分散分布表明,从效率、成本和排放优化角度来看,46 kg s(-1)是注汽流量的最佳值。

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