基于的多能系统的随机优化在天然气转化为甲醇的过程中,受制于建模不确定性
Xueteng Wang1, Jiandong Wang1, Mengyao Wei1
1College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.
Entropy (Basel, Switzerland)
|January 24, 2025
概括
本研究介绍了一种基于的随机优化方法,用于天然气转化为甲醇的过程. 它通过解决模型不确定性,提高系统可执行性和减少损失来改善能源分配.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 过程优化 过程优化
- 能源系统 能源系统
背景情况:
- 在天然气转化为甲醇的过程中,优化多能源系统对于有效的能源分配至关重要.
- 现有模型在不同的运行条件下面临着由于结构错误而导致的不确定性.
研究的目的:
- 提出一种基于的随机优化方法,用于天然气到甲醇过程中的多能系统.
- 为了实现最佳的气体,蒸汽和电力的分配,同时考虑到建模的不确定性.
主要方法:
- 开发了关键设备 (脱硫,炉,空气分离,压缩机) 的机械模型.
- 使用贝叶斯估计和马尔科夫链蒙特卡洛量化建模不确定性.
- 制定了一个考虑不确定性,容量和能量平衡的多目标随机优化模型.
主要成果:
- 应用重量方法来过帕雷托前端解决方案以获得最小的主观性.
- 在考虑模型不确定性的情况下,优化解决方案的可执行性得到了改善.
- 案例研究表明,与标准确定性优化相比,性能优于标准确定性优化.
结论:
- 提出的基于的随机优化有效地管理了天然气到甲醇过程中的不确定性.
- 这种方法提高了能源分配效率和系统可靠性.
- 它为优化复杂的工业能源系统提供了一个强大的方法.
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