Kemeng Energy (Yangzhou) Co., Ltd.

Online Monitoring System for Energy Efficiency of Coal-fired Industrial Boilers


Release time:

2022-07-18

Energy efficiency online monitoring system for coal-fired industrial energy-saving boilers. The system software uses PLC as the core operating point, integrating data acquisition components, module conversion components, data transmission components, data calculation components, data information storage components, data analysis and comparison components, human-computer interaction components, and energy-saving diagnostic components.

  In recent years, China has a large number of coal-fired industrial boilers, low operating efficiency, and extensive management, resulting in huge energy losses. The average operating efficiency of coal-fired industrial boilers in China is less than 70%, which is vastly different from the design efficiency, and the energy-saving potential is huge. Coal-fired industrial boilers consume high energy and cause serious pollution, and have always been a major challenge in energy conservation and emission reduction. Let's learn more about coal-fired industrialEnergy-saving boilerOnline energy efficiency monitoring system.

Energy-saving boiler

  1. Online energy-saving diagnosis.

  At present, in China's coal-fired industrial boilers, energy-saving operations are mainly promoted according to energy efficiency testing methodsEnergy-saving boilerHowever, most of the tests are carried out offline, mainly using the heat balance test method, which has certain difficulties in on-site operation monitoring. The online energy-saving diagnosis of coal-fired industrial boilers refers to the accurate and detailed online collection and analysis of key technical parameters of coal-fired industrial boilers, clarifying the key factors affecting the economic operation of coal-fired industrial boilers, and qualitatively and quantitatively analyzing the impact of various parameters on the boiler's economic indicators. Online energy-saving diagnosis is a relatively effective energy-saving supervision method and an effective way to intelligently monitor key boiler parameters. It can directly and accurately find the key parameters affecting the boiler's energy efficiency indicators, carry out targeted adjustments, and thus achieve economic operation of the boiler. The development of an applicable online monitoring system for coal-fired industrial boilers and its application to boiler energy-saving diagnosis have broad application prospects and economic benefits.

  Energy-saving diagnosis module online energy efficiency monitoring system and system.

  Suitable for coal-fired industryEnergy-saving boilerOnline energy efficiency monitoring system. The system includes an integrated high-rate energy efficiency testing system and a real-time data analysis and diagnosis system. The software uses PLC as the core operation point, integrating data acquisition components, module conversion components, data transmission components, data calculation components, data storage components, data analysis and comparison components, human-computer interaction components, and energy-saving diagnosis components. Install the corresponding thermal instruments on the boiler system. By measuring flue gas temperature, oxygen content in flue gas, flue gas flow rate, cold air temperature entering the furnace, boiler medium flow rate, pressure and other data, it is transmitted to the data processing center in real time, and the energy efficiency related parameters of the energy-saving boiler are calculated.

  Through analysis and comparison, the parameters affectingEnergy-saving boilerThe thermal efficiency parameters are diagnosed, and the boiler thermal efficiency, flue gas heat loss, incomplete combustion heat loss of fuel gas, oxygen content in flue gas, temperature and other key monitoring data are displayed on the human-computer interaction interface. When exceeding the limit, an alarm is triggered to remind the operator to make corresponding adjustments. The system collects the adjusted thermal data, recalculates the diagnosis, repeats the alarm, until the human-computer interaction interface, thereby reducing boiler energy consumption.

      The above is a related introduction to the online energy efficiency monitoring system for energy-saving coal-fired industrial boilers.