This paper investigates the integration of the Sweeping Gas Membrane Distillation (SGMD) module with two stages of the Bubble Column Dehumidifier (BCD). The initial stage of the BCD incorporates environmental water at ambient temperature for dehumidification purposes, whereas the subsequent stage employs chilled water. A comparative analysis is conducted between the proposed system and a conventional setup, incorporating an SGMD unit integrated with only one BCD stage cooled with chilled water. The evaluation includes productivity, Gained Output Ratio (GOR), and Specific Energy Consumption (SEC). A single-objective optimization approach using the Differential Evolution (DE) algorithm is utilized to determine the optimal operational and design parameters for the proposed system. Additionally, the multi-objective Nondominated Sorting Genetic Algorithm (NSGA∥) optimization technique is employed to ascertain the optimal SEC and flux for each system. Furthermore, a cost analysis is carried out and compared not only between the two systems but also with other Membrane Distillation (MD) techniques. The findings reveal that the proposed system achieves a 12.08 % higher productivity compared to the conventional system. Moreover, for a productivity level of 100 kg/m2.hr from both systems, the present system exhibits a 51.228 % lower SEC than the conventional system. Finally, the cost analysis, using the multi-objective optimization technique, demonstrates that the Unit Production Cost (UPC) of the distilled water in the proposed system is 35.26 % lower than the conventional system documented in the literature.

中文翻译：

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双级气泡塔除湿机扫频气膜蒸馏的单、多目标优化


本文研究了扫频气膜蒸馏 （SGMD） 模块与气泡塔除湿机 （BCD） 的两个阶段的集成。BCD 的初始阶段采用环境温度下的环境水进行除湿，而后续阶段则使用冷冻水。对拟议的系统与传统设置进行了比较分析，包括一个 SGMD 装置，该装置仅集成一个用冷冻水冷却的 BCD 阶段。评估包括生产率、产出率 （GOR） 和比能耗 （SEC）。使用差分进化 （DE） 算法的单目标优化方法来确定所提议系统的最佳操作和设计参数。此外，采用多目标非支配排序遗传算法 （NSGA∥） 优化技术来确定每个系统的最佳 SEC 和通量。此外，还进行了成本分析，不仅在两个系统之间进行了比较，而且与其他膜蒸馏 （MD） 技术进行了比较。研究结果表明，与传统系统相比，所提出的系统的生产率提高了 12.08%。此外，对于两个系统的 100 kg/m2.hr 的生产率水平，目前的 SEC 比传统系统低 51.228%。最后，使用多目标优化技术进行成本分析，表明所提出的系统中蒸馏水的单位生产成本 （UPC） 比文献中记录的常规系统低 35.26%。