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Combined heat and power plant using a multi-objective Henry gas solubility optimization algorithm: A thermodynamic investigation of energy, exergy, and economic (3E) analysis
Heliyon ( IF 3.4 ) Pub Date : 2021-09-21 , DOI: 10.1016/j.heliyon.2021.e08003
Somboon Sukpancharoen 1 , Boonrit Prasartkaew 2
Affiliation  

The principal context of this study was a combined heat and power plant (CHPP) system, with the aim of conducting the multi-objective optimization (MOO) of an energy, exergy, and economic (3E) analysis. To meet rising energy demands, optimal operational conditions for CHPPs are required. Enhancements to plant equipment and improvements in plant design are critical. CHPP design has its basis in the first law of thermodynamics; the losses from such systems are therefore most accurately determined via exergy analysis. Energy quality can also be assessed using exergy analysis. Consequently, it is possible for the designers of thermodynamic systems to apply the findings to achieve improved efficiencies. The economic aspect of CHPP optimization is also critical because the structure is highly complex. This study therefore makes use of a Henry gas solubility optimization (HGSO) algorithm in a CHPP base case situation to achieve MOO. In this particular CHPP system, the respective enthalpy and exergy efficiencies were increased in the case of the boiler (7.22% and 7.21%), the turbogenerator (4.52% and 6.84%), and the condenser (3.06% and 31.37%). In this study, four scenarios are proposed, whereby the design of a heat exchanger network (HEN) aims to optimize energy savings and economic performance through analysis of the profits generated through electricity and steam production. A payback period of around two to three years was reported, where the cost increase under optimal conditions was found to be 0.3824%. The results demonstrate clearly that the tested techniques may be appropriate in practical scenarios when enhancing CHPP performance in the context of the base case.

中文翻译:


使用多目标亨利气体溶解度优化算法的热电厂:能源、火用和经济 (3E) 分析的热力学研究



本研究的主要背景是热电联产 (CHPP) 系统,目的是进行能源、火用和经济 (3E) 分析的多目标优化 (MOO)。为了满足不断增长的能源需求,需要热电厂的最佳运行条件。工厂设备的增强和工厂设计的改进至关重要。 CHPP 设计以热力学第一定律为基础;因此,通过火用分析可以最准确地确定此类系统的损失。能源质量也可以使用火用分析来评估。因此,热力学系统的设计者可以应用这些发现来提高效率。由于结构高度复杂,热电厂优化的经济方面也至关重要。因此,本研究在 CHPP 基本案例情况下使用亨利气体溶解度优化 (HGSO) 算法来实现 MOO。在这个特定的 CHPP 系统中,锅炉(7.22% 和 7.21%)、涡轮发电机(4.52% 和 6.84%)和冷凝器(3.06% 和 31.37%)各自的热函效率和火用效率均有所提高。在本研究中,提出了四种方案,其中热交换器网络(HEN)的设计旨在通过分析电力和蒸汽生产产生的利润来优化节能和经济绩效。据报道,投资回收期约为两到三年,最佳条件下的成本增加为 0.3824%。结果清楚地表明,在基本情况下增强 CHPP 性能时,所测试的技术可能适用于实际场景。
更新日期:2021-09-21
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