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Control, energy management and performance evaluation of desalination unit based renewable energies using a graphical user interface

机译:使用图形用户界面的基于海水淡化装置的可再生能源的控制,能源管理和性能评估

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Renewable energy sources coupled to desalination unit offers a promising prospect for covering the fundamental needs of power and water in isolated regions. In this context, this study aims to control a reverse osmosis desalination unit powered by renewable energy sources and hydrogen storage situated in the Kerkennah islands (Tunisia). The hybrid system is made up of two wind turbines, a photovoltaic generator, a fuel cell and an electrolyzer. In order to ensure an optimum exploitation of the produced energy, a novel power management algorithm is developed to control the different energy flows exchanged among the system components. This algorithm determines the reference powers of the fuel cell, the electrolyzer and the desalination unit in seven operation modes, and supervises the fill levels of fresh water and hydrogen tanks. The daily simulation of the desalination system with the proposed algorithm, for any month of the year and the annual simulation of the energy supervision algorithm are carried out by new graphical interfaces. These interfaces facilitate the simulation and display the different curves describing the hybrid system behavior. The simulation results show that the proposed control strategies provide good installation autonomy and improve the system stability under varying load power demand. (C) 2016 Elsevier Ltd. All rights reserved.
机译:结合脱盐装置的可再生能源为满足偏远地区电力和水的基本需求提供了广阔的前景。在这种情况下,本研究旨在控制位于可可那赫群岛(突尼斯)的由可再生能源和储氢装置驱动的反渗透淡化装置。混合动力系统由两个风力涡轮机,一个光伏发电机,一个燃料电池和一个电解槽组成。为了确保对产生的能量进行最佳利用,开发了一种新颖的电源管理算法来控制系统组件之间交换的不同能量流。该算法在七个操作模式下确定燃料电池,电解器和脱盐装置的参考功率,并监督淡水和氢气罐的液位。通过新的图形界面,可以在一年中的任何月份使用该算法对海水淡化系统进行每日仿真,并对能源监管算法进行年度仿真。这些界面有助于仿真并显示描述混合动力系统行为的不同曲线。仿真结果表明,所提出的控制策略具有良好的安装自主性,并在变化的负载功率需求下提高了系统稳定性。 (C)2016 Elsevier Ltd.保留所有权利。

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