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Design optimization of desalination systems power-supplied by PV and W/G energy sources

机译:由PV和W / G能源供电的海水淡化系统的设计优化

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摘要

In this paper, a methodology for the optimal sizing of desalination systems, power-supplied by Photovoltaic modules and Wind-Generators, is presented. The purpose of the proposed methodology is to derive, among a list of commercially available system devices, the optimal number and type of units such that the 20-year round total system cost is minimized, while simultaneously the consumer's water demand is completely covered. The total cost function minimization is implemented using genetic algorithms, which have the ability to calculate the global optimum in the overall state space with relative computational simplicity. The proposed method has been applied for the design of desalination systems, which cover the potable water demands of a small community and of a residential household, respectively, in order to prove its effectiveness in various desalination system size scales. According to the corresponding optimal sizing results presented in this paper, the total cost of the desalination system is highly affected by the operational characteristics of the devices comprising the system, which affect the degree of exploitation of the available solar and wind energy potentials.
机译:在本文中,提出了一种用于优化脱盐系统尺寸的方法,该方法由光伏模块和风力发电机供电。所提出的方法的目的是从一系列可商购的系统设备中得出最佳的单元数量和类型,以使20年期的总系统成本降至最低,同时完全满足消费者的用水需求。使用遗传算法可以实现总成本函数的最小化,该算法具有相对的计算简单性,可以计算总体状态空间中的全局最优值。所提出的方法已被用于海水淡化系统的设计,该系统分别覆盖了一个小社区和一个居民家庭的饮用水需求,以证明其在各种海水淡化系统规模上的有效性。根据本文提出的相应的最佳选型结果,海水淡化系统的总成本会受到组成该系统的设备的运行特性的很大影响,这会影响可用的太阳能和风能潜力的利用程度。

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