用数据驱动模型预测控制废物转化能源厂中的酸气的建模方法
Senem Ozgen1, Andrea Wu1, Fredy Ruiz2
1LEAP s.c.a r.l., Via Nino Bixio 27,/C, Piacenza (PC), 29121, Italy.
Waste management (New York, N.Y.)
|June 5, 2025
概括
像模型预测控制 (MPC) 等先进的控制技术提高了废物转化能源 (WtE) 工厂的可持续性. 数据驱动的模型是MPC的关键,线性ARMAX模型被证明足够有效地控制HCl减排.
科学领域:
- 环境工程 环境工程
- 化学工程是化学工程的重要组成部分.
- 控制系统 控制系统
背景情况:
- 废物转化能源 (WtE) 工厂需要先进的控制,以实现经济和环境的可持续性.
- 模型预测控制 (MPC) 通过管理约束和多个目标来提供增强的监管.
- 准确的过程模型对于有效的MPC至关重要,而数据驱动的方法对于复杂的WtE系统是实用的.
研究的目的:
- 确定适合的数据驱动模型用于WtE工厂的HCl减排,用于数据驱动的MPC (DDMPC).
- 评估各种建模方法,从线性到非线性,使用常规操作数据.
- 为实时控制应用程序确定最有效和计算效率最高的模型.
主要方法:
- 应用了数据预处理技术以确保数据的连续性和可靠性.
- 探索不同的模型结构,包括线性,非线性转换和完全非线性模型.
- 对模型性能进行比较,重点关注DDMPC的准确性和适用性.
主要成果:
- 使用神经网络的非线性ARX模型在捕获HCl减排动态方面表现出很高的性能.
- 一个更简单的线性ARMAX模型在模拟HCl去除方面表现出足够的有效性.
- 由于其较低的计算成本和实时优化适用性,线性ARMAX模型是DDMPC的首选.
结论:
- 数据驱动的建模,特别是更简单的线性模型,可以有效地捕捉 WtE 工厂中的 HCl 减排动态.
- 线性ARMAX模型为DDMPC在WtE应用中的开发提供了实用和高效的解决方案.
- 这些发现支持使用优化控制策略来改善WtE工厂的可持续性.
更多相关视频
相关概念视频
01:30Microbial Wastewater Treatment
Microbial communities in aquatic ecosystems play a key role in the natural breakdown of contaminants introduced through domestic and industrial effluents. Acting as biological catalysts, these microbes change and mineralize a wide range of organic and inorganic pollutants under different redox conditions.In oxygen-rich surface waters, aerobic heterotrophs lead organic matter breakdown, using oxygen as the terminal electron acceptor to efficiently oxidize substrates to carbon dioxide and water.
01:28Bioreactor Controls-I
Maintaining optimal conditions within fermenters is essential for maximizing microbial productivity and ensuring process efficiency. This lesson focuses on key parameters—temperature, foam, pH, carbon dioxide, oxygen, and pressure—and their precise measurement and control strategies in fermentation systems.Temperature ControlTemperature regulation is critical due to the exothermic nature of many fermentation processes. In small laboratory fermenters, temperature is commonly monitored using...
01:30Biological Treatment of Effluent and Waste Water
Biological wastewater treatment relies on the metabolic activity of microorganisms to remove pollutants from sewage. In modern treatment systems, this process is organized into sequential stages that progressively reduce solid material, dissolved organic matter, and microbial contamination. Each stage plays a distinct role in improving water quality and preparing the effluent for safe discharge or reuse.Primary and Secondary TreatmentPrimary treatment is a physical process that removes large...