Heat balance analysis system to support the utilization of factory waste heat and improvement of thermal efficiency.

basic information

■Overview of the Heat Balance Analysis System The Heat Balance Analysis System automatically calculates and quantifies the heat balance of steam utilization equipment. By implementing the Heat Balance Analysis System, it becomes possible to continuously monitor the thermal efficiency of the equipment, and if the thermal efficiency deteriorates, the system can narrow down the causes through AI technology-based analysis. It allows for the reduction of unnecessary heat consumption that may go unnoticed with manual management, enabling CO2 emission reductions through energy-saving equipment introduced by utilizing data, as well as avoiding failure risks through anomaly detection. Furthermore, by continuously accumulating data and analyzing it for energy conservation, it is possible to optimize and automate the operation and control of steam utilization equipment and associated waste heat recovery systems. ■Main Features - Visualization of heat energy usage - Visualization of equipment's heat energy balance and efficiency - Monitoring fluctuations in heat energy balance and efficiency - AI automatic analysis of factors causing efficiency deterioration

Applications/Examples of results

■Application and Analysis Examples ・Analysis Example 1: Analyzing Factors of Heat Balance Variations Analyze the difference factors between the usual heat balance state (when the heat balance is in normal operation) and the different heat balance state. ⇒ Early measures against factors worsening exhaust heat to prevent unnecessary heat consumption. ⇒ Early detection of failure signs such as degradation of control equipment or minor steam leaks through analysis, avoiding the risk of equipment failure. ・Analysis Example 2: Analyzing Data Before and After Equipment Malfunction Occurrence As a factor analysis of equipment malfunction occurrence, analyze the difference factors between the heat balance state before the malfunction and the heat balance state after the malfunction. ⇒ Narrow down the equipment that could be potential causes of the malfunction. ⇒ Identify the area where the malfunction factors occurred. ・Analysis Example 3: Analyzing Variability Factors of Energy Unit per Production Lot Analyze the difference factors between good energy units based on the energy unit of good lots and the energy unit of poor lots. ⇒ Identify factors that worsen the energy unit. ⇒ Achieve energy savings through operational improvements, etc. ・Analysis Example 4: Analyzing Temporal Changes in Heat Balance Analyze the difference factors between the heat balance state after maintenance, which is efficient, and the heat balance state that has deteriorated over time. ⇒ Identify equipment or points with significant temporal deterioration. ⇒ Prevent unnecessary heat consumption through early maintenance.

Detailed information

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  ■Visualization of Heat Energy Usage The amount of steam used and waste heat will be visualized numerically. This allows for understanding and managing steam usage, as well as grasping steam usage efficiency (energy efficiency). When considering energy-saving measures such as waste heat recovery using heat exchangers or waste heat recovery heat pumps, having a quantitative understanding of each waste heat amount is beneficial for determining equipment specifications, estimating energy-saving effects, and evaluating energy-saving proposals.

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  ■AI Automatic Analysis of Factors Leading to Decreased Thermal Efficiency Using an analytics engine that automatically diagnoses factors contributing to decreased energy efficiency, we analyze the factors that led to a decline in thermal efficiency. We can analyze whether these factors impact thermal efficiency and display the variables ranked by their correlation strength, allowing for the automatic narrowing down of factors causing decreased thermal efficiency, which was difficult to achieve through traditional manual analysis.