Abstract In this study, energy, exergy and environmental-based design and multiobjective optimization of a novel solar-driven gas turbine-based multi-generation system is performed. For this purpose, a novel multi-generation system composed of a solar tower-driven gas turbine cycle, a Kalina cycle, an organic Rankine cycle, a single effect absorption refrigeration cycle, an electrolyzer and two domestic hot water heaters is developed. The system can produce electricity, heating and cooling for residential applications, domestic hot water, hydrogen and swimming pool heating, simultaneously from a single renewable energy source. A novel performance indicator, exergetic quality factor (EQF), for performance comparison and multiobjective optimization of multi-generation systems is also introduced. The system is analyzed with energy, exergy, EQF, environmental and exergoenvironmental measures. A detailed parametric study is also performed to analyze the effect of varying design parameters on the performance of the proposed system. The results show that the proposed system has 55.57%, 39.45% and 50.83% of energy efficiency, exergy efficiency, and EQF values, respectively; and inclusion of EQF into multiobjective optimization improves the multi-generation system performance.

中文翻译：

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基于能源、火用和环境的新型太阳能驱动多发电系统的设计和多目标优化

摘要 在本研究中，对一种新型太阳能驱动燃气轮机多发电系统进行了基于能源、火用和环境的设计和多目标优化。为此，开发了一种由太阳能塔式燃气轮机循环、卡林纳循环、有机朗肯循环、单效吸收式制冷循环、电解槽和两台家用热水器组成的新型多发电系统。该系统可以通过单一的可再生能源同时为住宅应用、生活热水、氢气和游泳池供暖发电、供暖和制冷。还介绍了一种新的性能指标，即能效品质因数 (EQF)，用于多代系统的性能比较和多目标优化。系统用能量、火用、EQF、环境和exergo环境措施。还进行了详细的参数研究，以分析不同设计参数对建议系统性能的影响。结果表明，该系统的能效、火用效率和EQF值分别为55.57%、39.45%和50.83%；将 EQF 纳入多目标优化可提高多代系统性能。