The impact of key parameters on the cycle efficiency of multi-stage RCAES system

Due to the uncertainty and anti-peaking nature,large scale integration of renewable energy imposes great challenges to the operation and dispatch of power systems.Compressed air energy storage(CAES)system provides new ideas to solve this problem as its characteristics of fast regulating,flexible location and long-service life.Especially,regenerative compressed air energy storage(RCAES)system is widely concerned as its capability of heat recovery in the compression process.The cycle efficiency is a key indicator of RCAES system which can be significantly impacted by the key parameters of the systems including compression ratio,exhaust air pressure of throttle(EAPT)and the maximum working pressure(MWP)of compressed air storage vessel(CASV).However,current research mostly focuses on the thermodynamic process and few studies have focused on the impact of key parameters on RCAES system.Based on the efficiency evaluation method which was formulated through the electricalmechanical-thermal dynamic process and measurable parameters,the impact of key parameters on the cycle efficiency of RCAES system is analyzed in this paper and a practical RCAES design scheme is adopted for case study.

基于RCAE模型的带式输送系统健康监测

带式输送系统已成为港口散货物流运输的主要装置,在运行工况较为恶劣的条件下,作为其核心零部件的滚动轴承不可避免地会发生不同程度的故障。在加快建设智能港口的工业背景下,充分利用传感器监测数据来对滚动轴承进行健康监测是带式输送系统平稳可靠运行的重要保障。因此,本文针对强背景噪声下轴承退化特征如何提取和健康指标(HI)如何构建的问题,提出了一种结合综合指标评价法和弗雷歇距离分析法的残差卷积自编码(RCAE)模型,为保证带式输送系统的安全运行提供理论支撑和技术解决方案。