Fluidized Bed Reactor Temperature Anomaly Detection for Sintering Risk

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Solution Overview

Problem

Fluidized bed reactors face challenges in accurately controlling bed temperatures, leading to potential sintering issues that can cause reactor shutdowns and increase operational costs, as existing methods lack precision in detecting local temperature anomalies.

Innovation Solution

A method using at least three temperature sensors and a numerical bed temperature model to measure and compare bed temperatures, detecting local temperature anomalies and preventing sintering by adjusting reactor operations, thereby improving bed control and reducing the risk of shutdowns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional temperature measurement methods are used in fluidized bed reactors, then the system is simple to operate, but the measurement precision is insufficient to detect local temperature anomalies

Engineering Contradiction:

Improvebed temperature measurement accuracyVSAvoidtemperature monitoring system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The bed temperature measurement is segmented into multiple local measurement points arranged in a grid pattern, with each point monitored by dedicated temperature sensors. This allows detection of local temperature anomalies that would be missed by single-point measurement, directly improving measurement precision while maintaining manageable system complexity through modular sensor placement.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A numerical bed temperature model acts as an intermediary between the physical temperature field and the measurement system. The model computes expected temperatures at measurement points based on process variables, and these computed values serve as a reference to detect anomalies in measured temperatures, enhancing measurement precision without requiring direct physical access to all bed regions.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If local temperature anomalies are not detected, then the system operates continuously, but sintering occurs causing reactor shutdowns and increased operational costs

Engineering Contradiction:

Improvereactor continuous operation reliabilityVSAvoidbed sintering risk

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary detection of temperature anomalies by comparing measured temperatures against computed reference values before sintering actually occurs. By identifying local temperature deviations early, the system enables preventive action to be taken, maintaining reactor reliability and avoiding shutdowns caused by sintering.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

A feedback mechanism continuously monitors the difference between measured and computed bed temperatures at multiple measurement points. When anomalies exceed a threshold, the system generates alerts that feed back to operators, enabling timely corrective actions to prevent sintering, thus ensuring continuous reliable operation while mitigating harmful effects.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If multiple temperature sensors are deployed in a grid pattern, then local temperature anomalies can be detected, but the device complexity and measurement cost increase

Engineering Contradiction:

Improvelocal temperature anomaly detection capabilityVSAvoidsensor grid system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The grid of temperature sensors serves multiple functions: it provides spatially distributed temperature measurements, enables detection of local anomalies, validates the numerical model, and supports process optimization. This multi-functionality justifies the increased device complexity by delivering comprehensive measurement precision and operational benefits across multiple aspects of reactor control.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240399327A1Method of determining a local temperature anomaly in a fluidized bed of a reactor, method of calibrating a numerical model of a fluidized bed of a reactor, method of estimating risk of a fluidized bed reactor bed sintering, method of controlling a fluidized bed reactor, as well as a reactor

Publication Date: 2024.12.05 SUMITOMO SHI FW ENERGIA OY

AI summary

A method of determining a local temperature anomaly in a fluidized bed combustion boiler system that includes at least three temperature sensors together defining a measurement grid, each sensor representing a measurement point, includes monitoring current operation data of the boiler, including measured bed temperature and at least primary air flow, fuel moisture, main steam flow, flue gas oxygen, and bed pressure, preparing a numerical model among operation data, such as primary air flow, fuel moisture, main steam flow, flue gas oxygen, and bed pressure. The measured bed temperatures measurement points are prepared and calibrated. Bed temperatures for the measurement points are monitored using the numerical model. This obtains computed bed temperatures under normal operation conditions, and the measured bed temperatures are compared with the computed bed temperatures for at least some of the measurement points. If an anomaly threshold is exceeded, determining that a local temperature anomaly is present.