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Optimal operation of a Solar Membrane Distillation pilot plant via Nonlinear Model Predictive Control

机译:基于非线性模型预测控制的太阳能膜蒸馏中试装置的优化运行

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摘要

Solar Membrane Distillation (SMD) is an under-investigation desalination process suitable for developing self-sufficient small scale applications. The use of solar energy considerably reduces the operating costs, however, its intermittent nature requires a non-stationary optimal operation that can be achieved by means of advanced control strategies. In this paper, a hierarchical control system composed by two layers is used for optimizing the operation of a SMD pilot plant, in terms of thermal efficiency, distillate production and cost savings. The upper layer is formed by a Nonlinear Model Predictive Control (NMPC) scheme that allows us to obtain the optimal operation by optimizing the solar energy use. The lower layer includes a direct control system, in charge of attaining the variable references provided by the upper layer. Simulation and experimental tests are included and commented in order to demonstrate the benefits of the developed control system.
机译:太阳能膜蒸馏(SMD)是一种研究不足的脱盐工艺,适用于开发自给自足的小规模应用。太阳能的使用大大降低了运营成本,但是,太阳能的间歇性要求非平稳的最佳运行,这可以通过先进的控制策略来实现。在本文中,由两层组成的分层控制系统用于在热效率,馏分油生产和节省成本方面优化SMD中试设备的运行。上层由非线性模型预测控制(NMPC)方案形成,该方案使我们能够通过优化太阳能使用来获得最佳运行。下层包括直接控制系统,负责获得上层提供的变量参考。为了说明开发的控制系统的好处,还包括了仿真和实验测试并进行了注释。

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