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Exergo-environmental and exergo-economic analyses and multi-criteria optimization of a novel solar-driven CCHP based on Kalina cycle

机译：基于卡利纳循环的新型太阳能驱动热电联产系统的能环境和能经济分析及多标准优化

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The present research proposes and optimizes the performance of a novel solar-driven combined cooling, heating, and power (CCHP) Kalina system for two seasons—winter and summer—based on exergy, exergo-economic, and exergo-environmental concepts applying a Non-dominated Sort Genetic Algorithm-II (NSGA-II) technique. Three criteria, i.e. daily exergy efficiency, total product cost rate, and total product environmental impact rate associated with the exergy of the system for each season are considered simultaneously for multi-objective optimization. The outcomes reveal that increments in turbine inlet pressure and mass flow rate of the vapour generator lower the environmental impact of system products as well as the total product cost rate in both seasons. The optimum value of daily exergy efficiency, total product environmental impact rate, and total product cost rate indicate improvements by 2.56%, 15.7%, and 15.3% respectively in summer and 36.34%, 7.39%, and 4.93% respectively in winter, relative to the base point.
机译：本研究提出了基于火用，能效-经济和能效-环境概念的非太阳能应用，在冬季和夏季的两个季节中优化并优化了新型太阳能驱动的制冷，制热和动力（CCHP）组合式Kalina系统的性能。主导的排序遗传算法II（NSGA-II）技术。对于多目标优化，同时考虑了三个标准，即与每个季节的系统火用相关的每日火用效率，总产品成本率和总产品环境影响率。结果表明，在两个季节中，涡轮机入口压力和蒸汽发生器质量流量的增加都会降低系统产品对环境的影响以及总产品成本。相对于冬季，每天的火用效率，总产品环境影响率和总产品成本率的最佳值分别表明，夏季分别提高了2.56％，15.7％和15.3％，冬季分别提高了36.34％，7.39％和4.93％基点。

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