一个新的数学模型,用于同时优化海水淡化厂的位置和水分网; 一个案例研究
Mohammad Hossein Sattarkhan1, Ali Mostafaeipour1, Ahmad Sadegheih1
1Industrial Engineering Department, Yazd University, Yazd, Iran.
Heliyon
|July 1, 2024
概括
本研究提出了一种数学模型和遗传算法,以优化海水淡化厂的位置和水分配网络,解决水资源短缺问题. 该方法成功地确定了一个最佳的单一海水淡化厂站点和一个缺水地区的分配计划.
科学领域:
- 环境工程 环境工程
- 水资源管理 水资源管理
- 运营研究 运营研究
背景情况:
- 全球水资源短缺正在升级,加剧冲突,并强调需要可持续的淡水解决方案.
- 淡化是将丰富的盐水转化为可用的淡水资源的关键技术.
- 优化淡化基础设施对于水资源紧张地区的高效供水至关重要.
研究的目的:
- 开发一个数学模型,同时优化海水淡化厂的位置和水分配网络.
- 尽量减少与水生产和输送相关的总成本.
- 应用遗传算法来解决复杂的非线性优化问题.
主要方法:
- 制定一个非线性数学模型来表示优化问题.
- 开发和应用一个遗传算法来解决非线性模型.
- 案例研究应用在伊朗西斯坦和巴鲁切斯坦省,一个面临严重水资源紧张的地区.
主要成果:
- 基因算法在3.74秒内有效地提供了可接受的解决方案.
- 查巴哈尔被确定为最佳单一地点,用于每天394,052立方米的海水淡化设施.
- 确定必要的输水线路及其在全省范围内进行配送的容量.
结论:
- 提出的数学建模和遗传算法方法有效地优化了海水淡化厂的位置和水的分配.
- 这种综合优化战略为改善水资源稀缺地区的水源安全提供了可行的解决方案.
- 该研究为解决干旱和半干旱地区的水资源管理挑战提供了实际框架.
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