四个阶段的多物理模拟以协助工业规模的燃煤炉温度传感器设计
Tanuj Gupta1, Mahabubur Rahman1, Xinyu Jiao2
1Department of Mechanical Engineering, Clemson University, Clemson, SC 29634, USA.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
一个新的计算框架有助于设计和运行化石燃料发电厂的高温传感器. 这项创新提高了炉管安全性,并预测了运营风险,确保了可靠的能源发电.
科学领域:
- 工程 工程师 工程师 工程师
- 材料科学 材料科学 材料科学
- 计算科学 计算科学
背景情况:
- 化石燃料主导着美国的发电 (>60%),随着可再生能源的增长,这给运营带来了挑战.
- 化石燃料工厂不可预测的炉管故障导致昂贵的紧急维护和社会破坏.
- 在现场监测需要可靠的高温传感器,以确保发电厂的炉管安全.
研究的目的:
- 开发一个多物理计算框架来设计,优化和安装高温传感器.
- 确保燃煤发电厂炉管道的安全运行和预测潜在故障.
- 通过对一种新型传感器进行现场测试来验证框架的有效性.
主要方法:
- 开发了一个四个阶段的多物理计算框架.
- 模拟预测了烟气温度,炉管传感器相关性,以及在各种条件下的传感器安全性.
- 在现场部署时使用模拟引导的安装计划.
主要成果:
- 该计算框架成功预测了燃煤炉的操作参数.
- 不钢和石英同轴电缆传感器 (SSQ-CCS) 使用该框架进行了设计和优化.
- 实地测试SSQ-CCS证明了成功运行超过430天.
结论:
- 开发的计算框架有效指导高温传感器的设计,安装和操作.
- 这种方法提高了燃煤和其他发电厂炉运行的安全性和可靠性.
- 该框架为预测运行安全和防止发电基础设施故障提供了有价值的工具.
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