A main reverse osmosis (RO) limitation is the operational costs (including energy filtration costs), which are significantly affected by energy costs and the expense of membrane maintenance. Both costs are affected by influent characteristics, including feedwater temperatures (T), electrical conductivity (EC), and recovery set points. A fuzzy logic advanced control system optimizes the RO operational costs considering feedwater EC and T as input values, and the RO recovery setpoint as a control action. Verification results show that, once calibrated, the simulation of the control system can save more than one million euros per year in large RO facilities (>30.000m³·day^-1). Which represents a reduction of 0.11€·m^-3 of influent treated water.

反渗透 (RO) 的一个主要限制是运营成本（包括能源过滤成本），其受能源成本和膜维护费用的影响很大。这两种成本都受到进水特性的影响，包括给水温度 (T)、电导率 (EC) 和回收设定点。模糊逻辑高级控制系统将给水 EC 和 T 作为输入值，将 RO 回收设定点作为控制动作，优化 RO 运行成本。验证结果表明，在大型反渗透设施（>30.000m ³ ·day ^-1）中，一旦校准，控制系统的模拟每年可以节省超过一百万欧元。这意味着进水处理水减少了 0.11€·m ^-3。