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配备石蜡作为相变材料的太阳能蒸馏淡化系统:火用经济分析和多目标优化。

Solar still desalination system equipped with paraffin as phase change material: exergoeconomic analysis and multi-objective optimization.

机构信息

Faculty of Automation, Huaiyin Institute of Technology, Huai'an, 223003, China.

Department of Mechanical and Industrial Engineering, Qatar University, Doha, Qatar.

出版信息

Environ Sci Pollut Res Int. 2021 Jan;28(1):220-234. doi: 10.1007/s11356-020-10335-9. Epub 2020 Aug 17.

Abstract

The current work is about analysis and multi-objective optimization (MOO) of weir-type solar still systems equipped with phase change material (PCM) regarding the exergetic and economic performance. To do so, the energetic and exergetic modeling of the suggested system is conducted then the substantial economic factors is applied to obtain the total cost rate of the considered SSDS. The total exergetic efficiency and total annual cost (TAC) is considered objective functions. Four parameters include mass of the PCM (m), inlet brine water flow rate ([Formula: see text]), gap distance (d), and insulation width (x) is chosen as decision variables. Moreover, a genetic algorithm-based MOO was applied to find the optimum states of evaluated solar still unit. The outputs represented that increasing the brine feed water mass flow rate does not affect the TAC while decreasing distilled water production rate. The scattered distribution of optimum states infers that the optimum value of PCM mass is about 1 kg. In addition, applied MOO reveals that with optimization of the studied system, the exergy efficiency increases about 1.47% and the annual distilled water increases 4.35% compared with the non-optimized system. The suggested system is capable to produce fresh water in remote areas without any pollution as well as in a low cost rate.

摘要

当前的工作是关于配备相变材料 (PCM) 的堰式太阳能蒸馏系统的分析和多目标优化 (MOO),以考虑其热力和经济性能。为此,对所建议的系统进行了能量和热力学建模,然后应用实质性的经济因素来获得所考虑的 SSDS 的总总成本率。总热力学效率和总年度成本 (TAC) 被视为目标函数。选择四个参数,包括 PCM 的质量 (m)、入口盐水水流量 ([Formula: see text])、间隙距离 (d) 和保温宽度 (x),作为决策变量。此外,应用基于遗传算法的 MOO 来寻找评估太阳能蒸馏单元的最佳状态。结果表明,增加盐水进料水的质量流量不会影响 TAC,同时会降低蒸馏水的产量。最佳状态的分散分布推断出 PCM 质量的最佳值约为 1 公斤。此外,应用 MOO 表明,与非优化系统相比,通过优化研究系统,可提高热力效率约 1.47%,并增加 4.35%的年度蒸馏水产量。该系统能够在没有任何污染的偏远地区以及低成本下生产淡水。

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