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Effective design of reverse osmosis based desalination process considering wide range of salinity and seawater temperature

机译:考虑广泛的盐度和海水温度的基于反渗透的脱盐工艺的有效设计

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摘要

The design of reverse osmosis (RO) network for desalination for a wide range of salinity and seawater temperature is considered here. We start with a flexible superstructure that contains all possible alternatives of a potential RO network and refine the network during the synthesis using model based optimization technique. The synthesis problem is posed to find out an optimal RO network which will minimize the total annualized cost consisting of capital costs (costs of sea water pre-treatment, pump, turbine and membrane modules) and operating costs (pumping energy, chemicals, maintenance and membrane replacement) while fulfilling a given fresh water demand and quality. The problem results in a mixed-integer non-linear programming (MINLP) problem due to the presence of both integer and non-integer decision variables. Outer approximation algorithm within gPROMS software is used to solve the optimization problem. The results revealed that the feed salinity and temperature have significant impact on the RO network design and operation.
机译:这里考虑了用于广泛盐度和海水温度的海水淡化的反渗透(RO)网络的设计。我们从包含潜在RO网络的所有可能替代方案的灵活上层结构开始,并使用基于模型的优化技术在合成过程中优化网络。综合问题是要找到一个最佳的反渗透网络,该网络将使包括资本成本(海水预处理,泵,涡轮机和膜组件的成本)和运营成本(能源,化学药品,维护和维护成本)的年度总成本最小化膜更换),同时满足给定的淡水需求和质量。由于整数和非整数决策变量的存在,该问题导致混合整数非线性编程(MINLP)问题。使用gPROMS软件中的外部近似算法来解决优化问题。结果表明,饲料盐度和温度对反渗透网络的设计和运行有重要影响。

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