评估物质模型预测的准确性,以优化海水淡化技术的成本
Savannah S Sakhai1, Timothy V Bartholomew2, Alexander V Dudchenko3
1Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.
概括
选择合适的海水属性模型是淡化过程的关键. 虽然模型的准确性因盐度的增加而有所不同,但更简单的模型通常足以优化成本,节省计算时间.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 水处理技术水处理技术
- 热力学是一种热力学.
背景情况:
- 精确的海水特性建模对于高效的海水淡化至关重要.
- 现有模型的复杂性和计算需求各不相同.
研究的目的:
- 为了优化海水淡化,比较三种海水特性模型.
- 评估它们对水平价成本 (LCOW) 和特定能源消耗 (SEC) 的影响.
主要方法:
- 使用 Reaktoro,麻省理工学院图书馆和简化的 NaCl 模型进行过程模拟.
- 逆透 (RO) 和机械蒸汽压缩 (MVC) 的成本优化.
主要成果:
- 模型在基线盐度上显示了可比的结果,但在较高的盐度上有显著差异.
- RO性能对透压预测差异更为敏感.
- 在计算上,Reaktoro是密集的,比实证模型慢28倍.
结论:
- 经验模型适用于常规淡化设计和成本优化.
- 像Reaktoro这样的复杂模型对于像缩放和pH等详细研究是有价值的.
- 模型选择应与特定的海水淡化应用目标保持一致.
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