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DEVELOPMENT AND VERIFICATION OF AN INTEGRATED SEAWATER DESALINATION AND RENEWABLE ENERGY SYSTEM MODEL

机译:综合海水淡化和可再生能源系统模型的开发与验证

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This work investigates the modeling and verification of seawater reverse osmosis powered by renewable energy resources (SWRO-RES). The model includes one stage of RO membranes, high pressure (HP) pump, energy recovery devices (ERD), Wind turbines (WT), photovoltaic panels (PV), and electrical grid as a back-up for the cases when there is weak penetration of the RES. Antibugging and tracing for the computer model were used as part of the code verification to discover all coding errors and check whether the computer model conforms to the SWRO specifications. After that, the calculations verifications process was performed using sensitivity analysis (SA) to evaluate whether the model response follows the anticipated direction and to check the model at some extreme conditions. Four SA cases were implemented to evaluate the SWRO-RES freshwater production, freshwater concentration, recovery rate, and specific energy consumption (SEC). Case I was the SA for different feed pressure values. In this case, it is important to find the pressure value that gives the lowest freshwater concentration. Case 2 was the SAfor different feedwater temperature values. While case 3 was the SA for the feedwater concentration. In all these cases, the model shows a verified response and as anticipated. The last SA case was to study the effect of different numbers of WT and PV panels and evaluate the electrical grid share considering one year of operation for the SWRO-RES plant.
机译:这项工作调查了由可再生能源(Swro-Res)提供的海水反渗透渗透的建模和验证。该模型包括RO膜,高压(HP)泵,能量回收装置(ERD),风力涡轮机(WT),光伏板(PV)和电网的一个阶段,以及当存在弱时的备用备份侵入res。用于计算机型号的抗衡和跟踪被用作代码验证的一部分,以发现所有编码错误并检查计算机模型是否符合SWRO规范。之后,使用灵敏度分析(SA)进行计算验证过程,以评估模型响应是否遵循预期的方向并在一些极端条件下检查模型。实施了四种SA案例以评估黄色res淡水产量,淡水浓度,恢复率和特定能耗(秒)。案例I是用于不同馈电压力值的SA。在这种情况下,找到提供最低淡水浓度的压力值非常重要。案例2是安全的不同进给水温值。虽然壳体3是用于给水浓度的SA。在所有这些情况下,该模型显示了验证的响应和预期。最后的SA案例是研究不同数量的WT和PV面板的影响,并考虑一年的WTRO-RES工厂的一年进行电网份额。

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