Thermal-exergy efficiency trade-off optimization of pressure retarded membrane distillation based on TOPSIS model
Thermal-exergy efficiency trade-off optimization of pressure retarded membrane distillation based on TOPSIS model
复制标题
基于TOPSIS模型的缓压膜蒸馏热-火用效率权衡优化
DOI：
10.1016/j.desal.2021.115446
复制
发表时间：
2021-11-17
期刊：
影响因子：
9.9
通讯作者：
Song, Zhanlong
中科院分区：
文献类型：
--
作者：
Cao, Han;Mao, Yanpeng;Song, Zhanlong
利用压力缓速膜蒸馏（PRMD）同时回收低品位热量和脱盐已引起越来越多的兴趣。作为一个由温差驱动的以能量为基础的过程，能效分析具有重要意义。本研究旨在分析不同操作参数对逆流式PRMD系统热效率和火用效率的影响。由于热效率最大值对应的最优值与火用效率最大值不一致，基于TOPSIS模型和熵权法进行了多目标优化。首先建立了膜组件传质传热和火用平衡的数学模型，确定了各参数对PRMD性能的影响。获得了最高得分条件，热效率和火用效率分别达到78.75%和43.4%。与单目标优化下的火用效率相比，多目标优化下的火用效率仅降低了5.73%，但热效率提高了21.84%。此外，还给出了不同进料溶液浓度下的多目标优化工况。该系统进行了权衡优化，为降低成本和大规模部署提供了参考。
There has been an increasing interest in recovering low-grade heat and desalination simultaneously using pressure retarded membrane distillation (PRMD). As an energy-based process driven by temperature difference, the analysis of energy efficiency is significant. This work aims to analyze the effect of various operating pa-rameters on thermal and exergy efficiencies of a counter-flow PRMD system. As the optimal value corresponding to the maximum thermal efficiency does not coincide with that leading to the maximum value of the exergy efficiency, a multi-objective optimization based on TOPSIS model and entropy weight method was conducted. A mathematical model including mass and heat transfer, and exergy balance for membrane module was firstly established to definite the effect of various parameters on PRMD performance. Then the highest scored condition was obtained, and thermal efficiency and exergy efficiency reached 78.75% and 43.4% respectively. Compared with the performance under the single-objective optimization for exergy efficiency, the exergy efficiency under the multi-objective optimization was reduced by only 5.73%, but the thermal efficiency is increased by 21.84%. Besides, the working conditions under multi-objective optimization with different feed solution concentrations are also presented. The PRMD system is trade-off optimized, which provides a reference for cost reduction and large-scale deployment.