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Multi-objective optimization of a small-scale solar-hot-spring-geothermal brackish water direct contact membrane distillation system
Energy Conversion and Management ( IF 10.4 ) Pub Date : 2022-10-03 , DOI: 10.1016/j.enconman.2022.116282
Xiaoxuan Zhu, Jitian Han, Yi Ge, Wanchao Zhu, Jinwen Yang

A small-scale solar-hot-spring-geothermal brackish water membrane distillation (MD) system is proposed by combining hot-spring and solar components to reduce fossil energy consumptions. A performance parameter framework and carbon footprint model is developed to perform an analysis on whole life cycle of the proposed system. The results show that the solar subsystem improved heat recovery with the water generation ratio increased by 22–42 %. As the feed-side inlet temperature increases, the total Specific Energy Consumption (SEC) contribution rate of renewable geothermal and solar energies increases from 12.34 % to 20.45 %. The cold and hot sources are responsible for the largest exergic losses at 1.79 kJ/S and 0.48 kJ/S. The unit exergy cost of the solar subsystem is the highest of 0.037 $/h in terms of economic benefits. One of effective ways to improve the carbon emission reduction rate is to develop a cogeneration process for the water purification. A multi-software co-simulation methodology is proposed to explore innovative MD systems of optimal configurations, improve desalination efficiency and reduce the energy consumptions. The Non-dominated Sorting Genetic Algorithm (NSGAII) and improved NSGAII genetic algorithms (NSGAII-A and NSGAII-B) are utilized for multi-objective optimization of the MD system. Finally, the Technique for Order Preference by Similarity to Ideal Situation (TOPSIS) method based on entropy weight is employed to obtain the Pareto frontier solution set. It is indicated that NSGAII-B based on the four objective-optimal scheme is the best for the Multi-objective optimization of the MD system.



中文翻译:

小型太阳能-温泉-地热苦咸水直接接触膜蒸馏系统的多目标优化

通过结合温泉和太阳能组件,提出了一种小型太​​阳能-温泉-地热微咸水膜蒸馏(MD)系统,以减少化石能源消耗。开发了性能参数框架和碳足迹模型,以对所提出系统的整个生命周期进行分析。结果表明,太阳能子系统提高了热回收率,产水率提高了 22-42%。随着进料侧入口温度的升高,可再生地热和太阳能的总比能量消耗 (SEC) 贡献率从 12.34% 增加到 20.45%。冷源和热源造成的火用损失最大,分别为 1.79 kJ/S 和 0.48 kJ/S。就经济效益而言,太阳能子系统的单位火用成本最高,为0.037美元/小时。提高碳减排率的有效途径之一是开发用于水净化的热电联产工艺。提出了一种多软件联合仿真方法来探索优化配置的创新 MD 系统,提高海水淡化效率并降低能耗。非支配排序遗传算法(NSGAII)和改进的NSGAII遗传算法(NSGAII-A和NSGAII-B)用于MD系统的多目标优化。最后,采用基于熵权的与理想情况相似的顺序偏好技术(TOPSIS)方法得到帕累托前沿解集。表明基于四目标最优方案的NSGAII-B最适合MD系统的多目标优化。

更新日期:2022-10-03
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