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首页> 外文OA文献 >Optimal scheduling, design, operation and control of reverse osmosis desalination. Prediction of RO membrane performance under different design and operating conditions, synthesis of RO networks using MINLP optimization framework involving fouling, boron removal, variable seawater temperature and variable fresh water demand.
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Optimal scheduling, design, operation and control of reverse osmosis desalination. Prediction of RO membrane performance under different design and operating conditions, synthesis of RO networks using MINLP optimization framework involving fouling, boron removal, variable seawater temperature and variable fresh water demand.

机译：反渗透淡化的最佳计划，设计，操作和控制。预测不同设计和操作条件下反渗透膜的性能，使用MINLP优化框架合成反渗透网络，包括结垢，除硼，变化的海水温度和变化的淡水需求。

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摘要

An accurate model for RO process has significant importance in the simulation and optimization proposes. A steady state model of RO process is developed based on solution diffusion theory to describe the permeation through membrane and thin film approach is used to describe the concentration polarization. The model is validated against the operation data reported in the literature.udFor the sake of clear understanding of the interaction of feed temperature and salinity on the design and operation of RO based desalination systems, simultaneous optimization of design and operation of RO network is investigated based on two-stage RO superstructure via MINLP approach. Different cases with several feed concentrations and seasonal variation of seawater temperature are presented. Also, the possibility of flexible scheduling in terms of the number of membrane modules required in operation in high and low temperature seasons is investigatedudA simultaneous modelling and optimization method for RO system including boron removal is then presented. A superstructure of the RO network is developed based on double pass RO network (two-stage seawater pass and one-stage brackish water pass). The MINLP problem based on the superstructure is used to find out an optimal RO network which will minimize the total annualized cost while fulfilling a given boron content limit. The effect of pH on boron rejection is investigated at deferent seawater temperatures.udThe optimal operation policy of RO system is then studied in this work considering variations in freshwater demand and with changing seawater temperature throughout the day. A storage tank is added to the RO layout to provide additional operational flexibility and to ensure the availability of freshwater at all times. Two optimization problems are solved incorporating two seawater temperature profiles, representing summer and winter seasons. The possibility of flexible scheduling of cleaning and maintenance of membrane modules is investigated.udThen, the optimal design and operation of RO process is studied in the presence of membrane fouling and including several operational variations such as variable seawater temperature. The cleaning schedule of single stage RO process is formulated as MINLP problem using spiral wound modules. NNs based correlation has been developed based on the actual fouling data which can be used for estimating the permeability decline factors. The correlation based on actual data to predict the annual seawater temperature profile is also incorporated in the model. The proposed optimization procedure identified simultaneously the optimal maintenance schedule of RO network including its design parameters and operating policy.udThe steady state model of RO process is used to study the sensitivity of different operating and design parameters on the plant performance. A non-linear optimization problem is formulated to minimize specific energy consumption at fixed product flow rate and quality while optimizing the design and operating parameters. Then the MINLP formulation is used to find the optimal designs of RO layout for brackish water desalination. A variable fouling profile along the membrane stages is introduced to see how the network design and operation of the RO system are to be adjustedudFinally, a preliminary control strategy for RO process is developed based on PID control algorithm and a first order transfer function (presented in the Appendix).
机译：精确的反渗透过程模型在仿真和优化建议中具有重要意义。基于溶液扩散理论建立了反渗透过程的稳态模型，以描述通过膜的渗透，薄膜方法则描述了浓度极化。针对文献中报道的运行数据对该模型进行了验证。 ud为了清楚地了解进料温度和盐度在基于RO的脱盐系统的设计和运行中的相互作用，研究了RO网络的设计和运行的同时优化。基于MINLP方法的两级RO上部结构。介绍了几种饲料浓度不同和海水温度随季节变化的不同情况。此外，研究了在高温和低温季节操作中所需的膜组件数量方面灵活调度的可能性。 ud然后提出了一种用于含硼去除的反渗透系统的同时建模和优化方法。基于双程RO网络（两级海水通道和一级苦咸水通道）开发了RO网络的上层结构。基于上部结构的MINLP问题用于找到最佳的反渗透网络，该网络将在满足给定的硼含量限制的同时将总的年度成本降至最低。在不同的海水温度下研究了pH值对硼去除的影响。 ud然后在这项工作中研究了RO系统的最佳运行策略，其中考虑了淡水需求的变化以及全天海水温度的变化。在反渗透布局中增加了一个储水箱，以提供额外的操作灵活性并确保始终提供淡水。通过结合代表夏季和冬季的两个海水温度曲线，解决了两个优化问题。研究了对膜组件清洁和维护进行灵活调度的可能性。 ud然后，研究了在存在膜污染的情况下RO工艺的最佳设计和操作，其中包括几种运行变化，例如海水温度可变。使用螺旋缠绕模块将单级RO工艺的清洁时间表表述为MINLP问题。基于实际结垢数据已开发了基于NN的相关性，可用于估算渗透率下降因子。该模型还包含了基于实际数据来预测年度海水温度曲线的相关性。所提出的优化程序同时确定了反渗透网络的最佳维护计划，包括其设计参数和运行策略。 ud反渗透过程的稳态模型用于研究不同运行和设计参数对工厂性能的敏感性。制定了非线性优化问题，以使固定产品流量和质量下的单位能耗最小化，同时优化设计和操作参数。然后使用MINLP配方来寻找用于微咸水脱盐的RO布局的最佳设计。引入沿膜阶段的可变结垢轮廓，以了解如何调整反渗透系统的网络设计和运行 ud。最后，基于PID控制算法和一阶传递函数，开发了反渗透过程的初步控制策略（在附录中显示）。

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    Sassi Kamal M.;

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  • 年度 2012
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