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Thermo-hydraulic and economic optimization of Iranol refinery oil heat exchanger with Copper oxide nanoparticles using MOMBO

机译:摩尔氧化铜纳米粒子的热液压和经济优化氧化铜纳米粒子

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摘要

Thermal efficiency and total cost are essential parameters in the design of shell and tube heat exchanger. In this study, both of these parameters are considered as two separate objective functions. Total cost includes the cost of construction and the cost of operation. In this research, Copper oxide/ Iranol refinery oil nanofluids are used as cold side fluid to increase thermal efficiency. Optimization result will be a Pareto frontier curve instead of a single point. The NTU-epsilon method was used to calculate the thermal efficiency, and the Bel-Delawer method was used to calculate the pressure drop. In order to resolve this problem, natural base inspired algorithms have been used to minimize the chances of tapping into the optimal local minima. The results show that the difference in the predicted values is satisfactory, and the maximum error is less than 10% and related to the oil outlet temperature. Modeling results predict the heat transfer rate approximate 511 kW, while the actual results for heat duty were 490 kW (error: 4%). The results of sensitivity analysis show that the heat exchanger length and number of tubes have the greatest effect in increasing cost and increasing the efficiency. (C) 2019 Elsevier B.V. All rights reserved.
机译:热效率和总成本是外壳和管式换热器设计中的必要参数。在这项研究中,这两个参数都被认为是两个单独的目标函数。总成本包括施工成本和运营成本。在本研究中,氧化铜/伊烷炼油厂油纳米流体用作冷侧流体,以提高热效率。优化结果将是帕累托前沿曲线而不是单点。使用NTU-Epsilon方法来计算热效率,并且使用Bel-Delwer方法来计算压降。为了解决这个问题,已经使用自然基础启发算法来最小化利用局部局部最小值的机会。结果表明,预测值的差异令人满意,最大误差小于10%并与油出口温度相关。建模结果预测传热速率近似511千瓦,而热义的实际结果为490千瓦(误差:4%)。灵敏度分析结果表明,热交换器长度和管数在增加成本和提高效率时具有最大的效果。 (c)2019 Elsevier B.v.保留所有权利。

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