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首页> 外文期刊>Energy Equipment and Systems >Techno-economic operation optimization of a HRSG in combined cycle power plants based on evolutionary algorithms: A case study of Yazd, Iran
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Techno-economic operation optimization of a HRSG in combined cycle power plants based on evolutionary algorithms: A case study of Yazd, Iran

机译：基于进化算法的联合循环电厂HRSG技术经济运行优化：以伊朗亚兹德为例

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摘要

In this research study, energy, exergy and economic analyses is performed for a combined cycle power plant (CCPP) with a supplementary firing system. The purpose of this analyses is to evaluate the economic feasibility of a CCPP by applying an optimization techniques based on Evolutionary algorithms. Actually, the evolutionary algorithms of Firefly, PSO and NSGA-II are applied to minimize the cost function and to optimally adjust the operating design variables of a CCPP. The input parameters are measured in real case study (i.e., Yazd city, Iran) and they are used to model and optimize the system performance. The cost objective function is formed from several parts: Operating cost, capital cost and exergy destruction cost. In following of optimization procedure, a thermo-economic method is employed to compare the impact of operating parameters from an economic standpoint by COMFAR III (Computer Model for Feasibility Analysis and Reporting) software. The economic analysis consists of determination of NPV, sensitivity analysis and calculation of break-even point. The results showed that the optimization results are economically more feasible than the base case. In addition, among different optimization techniques, Firefly algorithm improves the economic justification of CCPP. At the end, the results of sensitivity analysis show that by decreasing the operation costs, fixed assets and sales revenue by 40%, the IRR increases by 6.7%, 42.8% and decreases by 41.4%, respectively. Furthermore, the lowest sensitivity of IRR is related to operation cost, while the highest sensitivity of IRR is corresponding to variations of fixed assets.
机译：在这项研究中，对带有辅助点火系统的联合循环发电厂（CCPP）进行了能源，火用和经济分析。该分析的目的是通过应用基于进化算法的优化技术来评估CCPP的经济可行性。实际上，使用Firefly，PSO和NSGA-II的进化算法来最小化成本函数并优化调整CCPP的运行设计变量。输入参数是在实际案例研究（即伊朗亚兹德市）中测量的，并用于建模和优化系统性能。成本目标函数由以下几部分组成：运营成本，资本成本和火用破坏成本。在优化过程之后，采用热经济方法通过COMFAR III（可行性分析和报告计算机模型）软件从经济角度比较运行参数的影响。经济分析包括净现值的确定，敏感性分析和盈亏平衡点的计算。结果表明，优化结果在经济上比基本情况更可行。另外，在不同的优化技术中，Firefly算法提高了CCPP的经济合理性。最后，敏感性分析的结果表明，通过将运营成本，固定资产和销售收入降低40％，内部收益率分别增加了6.7％，42.8％和41.4％。此外，内部收益率的最低敏感性与经营成本有关，而内部收益率的最高敏感性对应于固定资产的变动。

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