使用目标编程技术,为批量流程进行水网的最佳重新调度
Fatma M Ayyad1, Walaa M Shehata2, Ahmed A Bhran2,3
1Department of Petroleum Refining and Petrochemical Engineering, Faculty of Petroleum and Mining Engineering, Suez University, P.O. Box: 43221, Suez, Egypt. fatma.ayyad@suezuniv.edu.eg.
Scientific reports
|December 14, 2023
概括
本研究引入了一个目标编程方法,用于在批处理过程中重新安排水网,通过优化水箱容量和流转来显著降低成本和淡水使用量. 该方法有效地降低了化学操作中的成本和环境影响.
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
- 工业优化产业优化
背景情况:
- 化工行业的批量工艺往往缺乏直接的水再利用,原因是时间限制和储的高成本.
- 有效的水资源管理对于工业运营的成本效益和可持续性至关重要.
研究的目的:
- 通过重新调度用水量,为批量工艺开发具有成本效益的水网综合.
- 通过优化水网设计,尽量减少淡水消耗和废水排放.
- 减少所需储的数量和容量.
主要方法:
- 采用目标编程方法,在批处理过程中重新安排水网.
- 使用Lingo优化程序开发了一个混合整数非线性程序 (MINLP) 模型.
- 该模型优化了多个目标,包括淡水使用,废水排放,水箱要求,流转移和总网络成本.
主要成果:
- 案例研究表明,网络成本和淡水流量大幅降低 (例如,在一个案例中,成本降低了26.4%,淡水减少了42%).
- 提出的方法实现了成本降低和淡水减少,即使在某些场景中不需要储.
- 该模型在单一和多污染物分批供水网络中被证明有效.
结论:
- 水网调度重新安排是一个有效的策略,可以降低批处理过程中的成本和环境影响.
- 开发的MINLP模型提供了一个强大的工具来优化用水量,并最大限度地减少储存需求.
- 该方法为各种工业环境中可持续的水资源管理提供了具有成本效益的解决方案.
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