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首页> 外文期刊>Desalination: The International Journal on the Science and Technology of Desalting and Water Purification >Optimization of solar-powered reverse osmosis desalination pilot plant using response surface methodology
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Optimization of solar-powered reverse osmosis desalination pilot plant using response surface methodology

机译:响应面法优化太阳能反渗透淡化中试装置

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A solar thermal and photovoltaic-powered reverse osmosis (RO) desalination plant has been constructed and optimized for brackish water desalination. The central composite experimental design of orthogonal type and response surface methodology (RSM) have been used to develop predictive models for simulation and optimization of different responses such as the salt rejection coefficient, the specific permeate flux and the RO specific performance index that takes into consideration the salt rejection coefficient, the permeate flux, the energy consumption and the conversion factor. The considered input variables were the feed temperature, the feed flow-rate and the feed pressure. Analysis of variance (ANOVA) has been employed to test the significance of the RSM polynomial models. The optimum operating conditions have been determined using the step adjusting gradient method. An optimum RO specific performance index has been achieved experimentally under the obtained optimal conditions. The RO optimized plant guarantees a potable water production of 0.2 m~3/day with energy consumption lower than 1.3 kWh/m~3.
机译:太阳能热和光伏供电的反渗透(RO)海水淡化厂已建成并针对微咸水淡化进行了优化。已经使用正交类型和响应面方法(RSM)的中央复合实验设计来开发预测模型,以仿真和优化各种响应,例如除盐系数,比渗透通量和RO比性能指标等排盐系数,渗透通量,能耗和转换系数。考虑的输入变量是进料温度,进料流速和进料压力。方差分析(ANOVA)已用于测试RSM多项式模型的重要性。最佳工作条件已使用逐步调整梯度法确定。在获得的最佳条件下,已通过实验获得了最佳的反渗透性能指标。 RO优化的工厂可确保每天生产0.2 m〜3的饮用水,且能耗低于1.3 kWh / m〜3。

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