Fluidized Bed Solids Circulation Monitoring for Early Anomaly Detection
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Solution Overview
Problem
Circulating fluidized bed reactors face challenges with agglomeration and sintering of solid materials, leading to unscheduled shutdowns due to fluctuating fuel quality and blockages in the solids return system, which conventional methods struggle to detect early enough for timely intervention.
Innovation Solution
A method and control system that monitors the circulation process by creating a multivariate model using process variables and performance indicators, comparing modeled and measured values to detect anomalies, and providing early warnings for potential agglomeration and sintering, allowing for proactive remedial actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional monitoring methods are used to track solid material circulation, then operational simplicity is maintained, but early detection of agglomeration and sintering is insufficient leading to unscheduled shutdowns
Solution Approach 1:
The system performs preliminary detection by continuously monitoring circulation parameters and comparing them against predicted values from a multivariate model. This early warning approach allows operators to take corrective action before agglomeration and sintering lead to shutdowns, thereby improving reliability without requiring complex physical modifications to the reactor itself
Solution Approach 2:
The patent replaces conventional mechanical monitoring approaches with a computational multivariate model that uses process variables and performance indicators to predict circulation behavior. This substitution of mechanical detection with computational analysis enables early anomaly detection while maintaining operational simplicity
2Reliability
If multivariate modeling and continuous monitoring are implemented to detect anomalies early, then reactor availability improves, but system complexity and measurement requirements increase
Solution Approach 1:
The multivariate model serves multiple functions simultaneously: it predicts circulation behavior, detects anomalies, identifies trends, and provides early warnings for multiple potential issues (agglomeration, sintering, blockages). This multi-functionality consolidates what could be multiple separate monitoring systems into a single integrated approach, reducing overall measurement complexity while improving reliability
Solution Approach 2:
The system creates a virtual copy of the circulation system through the multivariate model, which replicates expected behavior based on process variables. By comparing actual measurements against this virtual model, the system can detect deviations without requiring direct physical access to difficult-to-measure parameters, thereby reducing measurement complexity
3Ease of operation
If operators follow conventional basic operative routines to monitor fuel quality, then operational simplicity is maintained, but sintering detection is delayed until blockage occurs
Solution Approach 1:
The monitoring system operates autonomously by automatically collecting process variables, comparing them against the multivariate model predictions, and generating anomaly detections without requiring continuous operator intervention. This self-service capability maintains ease of operation while providing continuous monitoring that conventional routines cannot match, enabling timely corrective action
Data Source
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AI summary
Invention relates to a method of monitoring a process of circulation of solid ma-terial in a circulating fluidized bed reactor (10) comprising at least the following steps: selecting process variables of the process of circulating of solid material in the return path (15) of solid material, and selecting performance indicators of the process of circulation of solid material amongst the selected process varia-bles for each performance indicator of the process of circulation of solid material; creating a multivariate model for each performance indicator, using history data of the process variables and the performance indicators of the process of circu-lation of solid material; determining a modelled value of the performance indica-tors, by applying current measured values of the process variables to the multi-variate model; and comparing the modelled value of each performance indicator to a respective measured value of each performance indicator and inspect pres-ence of an anomaly between the modelled value and the measured value. The method provides an effect by means of which possible problems in circulation of solid material can be effectively foreseen so that remedial actions can be taken early enough to maintain the process operational. Invention relates also to a con-trol system (48) for monitoring a process of circulation of solid material in a cir-culating fluidized bed reactor (10).