使用绑定收缩优化水网.
Ivone Cristina Barros Pedroza1, Mauro Antonio da Silva Sá Ravagnani2
1Chemical Engineering Graduate Program, State University of Maringá, Maringá, 87020-900, Brazil.
概括
本研究提出了工业用水再利用网络的优化模型,旨在减少淡水使用和浪费. 开发的方法成功地为设计高效的水资源管理系统找到最佳解决方案.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 环境工程 环境工程
- 运营研究 运营研究
背景情况:
- 工业用水导致大量的淡水消耗和废水产生.
- 优化水资源再利用网络对于制造过程的可持续性和成本降低至关重要.
- 现有的模型可能无法完全考虑预处理单元或复杂的污染物场景.
研究的目的:
- 开发一个混合整数非线性编程 (MINLP) 优化模型,用于工业用水再利用网络合成.
- 将有或没有预处理装置的场景纳入水网设计中.
- 尽量减少淡水摄入量,废水排放量和整体年度成本.
主要方法:
- 制定一个MINLP模型,用二线性术语对水再利用网络进行合成.
- 实施绑定收缩技术以提高优化效率.
- 在通用代数建模系统 (GAMS) 中编码模型以实现实际应用.
主要成果:
- 开发的优化模型成功地确定了对水再利用网络的全球最佳解决方案.
- 束收缩技术有效地减少了寻找最佳解决方案的搜索空间.
- 用单一和多重污染物的案例研究表明了该模型的适用性,包括预处理单元.
结论:
- 拟议的优化策略使工业用水再利用网络的高效设计和重新评估成为可能.
- 该模型有助于开发更可持续和更具成本效益的水资源管理配置.
- 这些发现支持在工业环境中加强水资源管理.
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