Location: Home > News > Application Stories

Online Monitoring Project Case of a Petrochemical Plant's Heating Furnace

24-06-2024

The heating furnace is a crucial piece of equipment in the petrochemical industry and also a significant energy consumer within the facility. The furnace's chamber experiences considerable heat loss. Monitoring the heating status inside the furnace and the heat loss from the furnace walls is a key challenge for enterprises. Heating furnaces in petrochemical plants operate under extreme conditions, including high temperatures and pressures. Traditional monitoring methods often rely on mechanical sensors and manual inspections, which can be time-consuming, labor-intensive, and prone to human error. Additionally, these methods may not provide real-time data, limiting the ability to respond promptly to issues as they arise.

The integration of infrared technology offers a non-invasive approach to monitoring furnace conditions. Infrared cameras detect thermal radiation emitted by objects, providing real-time temperature data without direct contact. This capability allows for continuous monitoring of furnace performance and identification of potential issues before they escalate. This project utilizes thermal imaging cameras to conduct real-time monitoring of the furnace walls and observation doors, capturing the temperature of the entire wall. This allows users to understand the surface temperature of the furnace body, promptly identify areas with abnormal temperatures, and assess the performance and quality of the observation door and internal refractory materials, providing a basis for future energy-saving modifications. 

The primary objectives of the online monitoring project

Enhance Safety: by identifying hotspots or abnormal temperature fluctuations, the system aims to prevent accidents and ensure safe operation. 

Improve Efficiency: continuous monitoring helps optimize combustion processes, leading to reduced fuel consumption and increased energy efficiency.

Minimize Downtime: early detection of potential failures allows for proactive maintenance, reducing unplanned outages and associated costs.

Energy Efficiency Assessment of the Furnace

The system measures the wall temperature of the furnace and, in conjunction with environmental parameters such as ambient temperature and wind speed, calculates the outer surface temperature of the furnace wall under standard working conditions. This assessment helps evaluate heat loss from the walls, providing a scientific basis for energy-saving modifications to the furnace.

Refractory Material Condition Assessment

Using thermal imaging, potential defects in the refractory materials, such as cracks, depressions, and spalling, can be identified.

The implementation of the online monitoring system using infrared technology yielded significant benefits:Increased Safety: 

The system provided real-time alerts for temperature anomalies, enabling quick intervention and preventing potential safety incidents.

Operational Efficiency: By continuously monitoring furnace temperatures, operators were able to optimize combustion settings, resulting in a measurable reduction in fuel consumption and emissions.

 Cost Savings: Proactive maintenance based on real-time data reduced unplanned downtime by approximately 30%, leading to significant cost savings for the plant.

 Data-Driven Decision Making: The comprehensive data collected allowed for better-informed decision-making regarding maintenance schedules and operational adjustments. 

The online monitoring project of a petrochemical plant’s heating furnace using infrared technology has demonstrated the potential for enhancing safety, efficiency, and operational reliability. As the petrochemical industry continues to face challenges related to safety and environmental impact, the adoption of advanced monitoring solutions like infrared technology will play a critical role in driving innovation and improving overall performance. Future expansions of this project could include the integration of machine learning algorithms for predictive maintenance, further enhancing the capabilities of the monitoring system.