过程规模海水淡化系统的成本优化建模框架,采用矿物质缩放和沉
Oluwamayowa O Amusat1, Adam A Atia2,3, Alexander V Dudchenko4
1Lawrence Berkeley National Laboratory (LBNL), 1 Cyclotron Road, Berkeley, California 94720, United States.
概括
将详细的水化学整合到成本模型中,可以优化高回收淡化. 该框架量化了预处理需求和矿物质缩放,揭示了平衡化学处理和反透系统的成本最佳设计.
科学领域:
- 环境工程 环境工程
- 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
背景情况:
- 目前的水处理成本优化模型缺乏详细的化学反应现象,限制了预处理和矿物质缩放的评估.
- 新的高盐度和高回收淡化方法往往忽视了预处理要求和扩展潜力的直接量化.
研究的目的:
- 提出一个新的建模框架,将复杂的水化学预测与淡化过程规模优化相结合.
- 进行高回收淡化处理列车的技术经济评估,其中包括化学预处理和膜工艺.
主要方法:
- 开发和整合多维代用模型来预测降水,pH和矿物质缩放趋势.
- 概念性高回收处理列车的技术经济评估,包括苏打灰软化,再碳化和反透.
主要成果:
- 发现成本最优的设计,以平衡预处理费用与反透系统设计.
- 优化50-90%的水回收显示了多种成本最佳配置,其中包括不同的化学剂量和反透操作.
- 在高回收率下,预处理成本可能超过初级海水淡化成本,因为需要扩展控制.
结论:
- 包括详细的化学和矿物缩放预测对于评估新兴的高回收淡化技术至关重要.
- 开发的框架提供了一个强大的方法,通过考虑化学现象来优化海水淡化过程.
- 技术经济评估必须考虑到预处理对整个海水淡化成本的重大影响,特别是在高回收率的情况下.
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