一种优化方法,以改善热回收蒸汽发电机的蒸汽生产
Awsan Mohammed1,2, Moath Al-Mansour3, Ahmed M Ghaithan3,4
1Architectural Engineering and Construction Management Department, King Fahd University of Petroleum and Minerals, 31261, Dhahran, Saudi Arabia. awsan.mohammed@kfupm.edu.sa.
Scientific reports
|January 31, 2025
概括
优化热回收蒸汽发电机 (HRSG) 的性能是联合循环发电厂的关键. 这项研究确定了关键参数,并使用先进的建模来有效地最大限度地提高蒸汽生产.
科学领域:
- 能源工程 能源工程
- 热力学是一种热力学.
- 电厂运营 电厂运营 电厂运营
背景情况:
- 热回收蒸汽发电机 (HRSG) 是组合循环发电厂的组成部分,将燃气轮机连接到蒸汽循环.
- 为了最大限度地提高蒸汽循环效率,需要优化HRSG参数,尽管由于众多变量而复杂.
- 有效的HRSG设计和运行对于整体工厂性能和能源输出至关重要.
研究的目的:
- 调查影响HRSG蒸汽生成的关键参数.
- 开发HRSG蒸汽生产的预测模型,使用响应表面方法和人工神经网络.
- 为了确定最佳的HRSG操作参数,在定义的约束范围内最大限度地提高蒸汽输出.
主要方法:
- 使用响应表面方法 (RSM) 来建模输入参数和蒸汽产生之间的关系.
- 采用人工神经网络 (ANN) 来开发蒸汽生成的数学相关性.
- 使用HRSG操作中的真实数据集验证了开发的模型.
主要成果:
- 确定了高压 (HP) 进气流量,HP 进气压,以及低压 (LP) 进气压和HP 进气流量之间的相互作用作为影响蒸汽生产的关键因素.
- 观察到输入参数和二次数项之间的相互作用对蒸汽产生产生重大影响.
- 使用RSM和ANN模型实现了99%的蒸汽生产预测准确度.
结论:
- 开发的RSM和ANN模型准确地预测了HRSG蒸汽的产量.
- 确定了最大限度地提高蒸汽生产的最佳HRSG参数值,并由模型提供.
- 该研究提供了一种数据驱动的方法,以提高HRSG的效率和联合循环发电厂的性能.
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