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CN-121978270-A - Thermal power generation carbon emission monitoring system and method

CN121978270ACN 121978270 ACN121978270 ACN 121978270ACN-121978270-A

Abstract

The invention discloses a thermal power generation carbon emission monitoring system and a thermal power generation carbon emission monitoring method, which relate to the technical field of thermal power generation and comprise a data acquisition layer, a data processing layer, a data application layer and a reliability verification and self-diagnosis module, wherein the data acquisition layer is deployed on the site of a thermal power plant and comprises a fuel metering unit, a fuel component analysis unit, a smoke continuous emission monitoring unit and a DCS/SCADA interface, the data processing layer comprises a data preprocessing module, a core calculation module and a blockchain verification module, the data processing layer is in communication connection with the data acquisition layer, the data application layer is in communication connection with the data processing layer, the data application layer comprises a visual display module, a data storage and management module, a report generation module and a remote access interface, and the reliability verification and self-diagnosis module is connected with the data processing layer and the data acquisition layer. By adopting the thermal power generation carbon emission monitoring system and the thermal power generation carbon emission monitoring method, the multisource data fusion improves the monitoring precision and reduces the operation and maintenance cost.

Inventors

  • WANG KE
  • WANG LEI
  • MIAO ZHENGQING
  • YU JUAN
  • SHI JUNTING

Assignees

  • 北方联合电力有限责任公司包头第二热电厂
  • 上海交通大学内蒙古研究院

Dates

Publication Date
20260505
Application Date
20251223

Claims (7)

  1. 1. The thermal power generation carbon emission monitoring system is characterized by comprising a data acquisition layer, a data processing layer, a data application layer and a credibility checking and self-diagnosis module, wherein the data acquisition layer is deployed on the site of a thermal power plant and comprises a fuel metering unit, a fuel component analysis unit, a smoke continuous emission monitoring unit and a DCS/SCADA interface, the data processing layer comprises a data preprocessing module, a core calculation module and a blockchain checking module, the data processing layer is in communication connection with the data acquisition layer, the data application layer is in communication connection with the data processing layer and comprises a visual display module, a data storage and management module, a report generation module and a remote access interface, and the credibility checking and self-diagnosis module is connected with the data processing layer and the data acquisition layer.
  2. 2. The thermal power generation carbon emission monitoring system of claim 1, wherein the fuel composition analysis unit comprises an online coal quality analyzer, an offline test result database interface, or a fuel property prediction model.
  3. 3. The thermal power generation carbon emission monitoring system of claim 1, wherein the core calculation module calculates the total carbon emission based on the fuel side.
  4. 4. The thermal power generation carbon emission monitoring system of claim 1, wherein the blockchain certification module stores hash values of raw fuel flow, raw coal composition analysis result, raw flue gas CO 2 concentration, raw flue gas flow, calculated fuel end carbon emission, calculated flue gas end carbon emission, fused carbon emission, time stamp, and equipment status identifier in the blockchain.
  5. 5. The thermal power generation carbon emission monitoring system according to claim 1, wherein the preset rules of the reliability verification and self-diagnosis module include an association mapping table of equipment states and data deviations, a threshold value of a normal range of a historical data interval, a substance conservation or energy conservation relation between key parameters, and a mapping relation of equipment diagnosis states and data credibility.
  6. 6. The thermal power generation carbon emission monitoring system of claim 1, wherein the data application layer comprises a data security module.
  7. 7. A method of a thermal power generation carbon emission monitoring system according to any one of claims 1 to 6, comprising the steps of: Step S1, acquiring the amount of fuel fed into a furnace, the components of the fuel fed into the furnace, low-position heating value, the concentration of CO 2 in flue gas, the concentration/flow/temperature/pressure of O 2 and the generating capacity/heat supply quantity of a unit in real time through a data acquisition layer; s2, preprocessing the data acquired in the step S1 in a data processing layer; S3, respectively and independently calculating theoretical carbon emission based on a fuel end and theoretical carbon emission based on a smoke end on a data processing layer based on the preprocessed data; S4, determining the real-time credibility based on the fuel end data and the flue gas end data on the basis of the credibility checking rule and the real-time equipment diagnosis state in a data processing layer; Step S5, in the data processing layer, according to the real-time credibility determined in the step S4, carrying out weighted credibility fusion calculation on the two theoretical carbon emission amounts obtained in the step S3, and outputting the finally approved real-time carbon emission amount, fuel end carbon emission amount and flue gas end carbon emission amount; step S6, packing and uploading the key original data fingerprint of the step S1, the key processing process parameter fingerprint of the step S3/S5 and the final approved carbon emission of the step S5 to a blockchain storage certificate in a data processing layer; Step S7, the final approved carbon emission output in the step S5 and other related data are sent to a data application layer for real-time display, storage management, report generation and reporting; And S8, continuously running a credibility checking and self-diagnosis process, namely monitoring the state of the acquisition equipment and abnormal fluctuation of key calculation parameters, evaluating the credibility of data and the rationality of the result based on a preset rule, and outputting a checking result and necessary alarm information.

Description

Thermal power generation carbon emission monitoring system and method Technical Field The invention relates to the technical field of thermal power generation, in particular to a thermal power generation carbon emission monitoring system and a thermal power generation carbon emission monitoring method. Background The single path monitoring error is large, the fuel end monitoring method depends on offline coal quality test (2-4 times/day), the fluctuation of fuel characteristics cannot be reflected in real time, the key parameter estimation deviation is obvious, the belt scale metering drift (+ -1.5%), the carbon oxidation rate (eta) is fixed to take value (actual fluctuation (+ -3%), and the accumulated error exceeds + -15%. The flue gas end monitoring method is limited by the precision of a sensor, namely the temperature and pressure compensation distortion (+ -5%) of the flue gas flow, the concentration of CO 2 is interfered by moisture, the blockage/calibration misalignment of a probe is frequent, the comprehensive error reaches +/-8%, and the data is completely interrupted during the fault period. The data island and the cooperative failure depend on manual intervention (such as coal quality test) with high precision, but real-time requirements force a simplified model (fixed eta value) to cause the deviation of monitoring results from the actual value by more than +/-10 percent, and the existing system directly interrupts the data flow when equipment fails and has no self-adaptive compensation mechanism. Disclosure of Invention The invention aims to provide a thermal power generation carbon emission monitoring system and a thermal power generation carbon emission monitoring method, which are used for improving monitoring precision and reducing operation and maintenance cost through multi-source data fusion. The invention provides a thermal power generation carbon emission monitoring system and a thermal power generation carbon emission monitoring method, wherein the thermal power generation carbon emission monitoring system comprises a data acquisition layer, a data processing layer, a data application layer and a reliability verification and self-diagnosis module, the data acquisition layer is deployed on a thermal power plant site and comprises a fuel metering unit, a fuel component analysis unit, a smoke continuous emission monitoring unit and a DCS/SCADA interface, the data processing layer comprises a data preprocessing module, a core calculation module and a blockchain verification module, the data processing layer is in communication connection with the data acquisition layer, the data application layer is in communication connection with the data processing layer, the data application layer comprises a visual display module, a data storage and management module, a report generation module and a remote access interface, and the reliability verification and self-diagnosis module is connected with the data processing layer and the data acquisition layer. Preferably, the fuel composition analysis unit comprises an online coal quality analyzer, an offline test result database interface, or a fuel property prediction model. Preferably, the core calculation module calculates the total carbon emissions based on the fuel side. Preferably, the blockchain certification module stores hash values of the raw fuel flow, the raw coal component analysis result, the raw flue gas CO 2 concentration, the raw flue gas flow, the calculated fuel end carbon emission, the calculated flue gas end carbon emission, the fused carbon emission, the time stamp and the equipment state identifier into the blockchain. Preferably, the preset rules of the reliability verification and self-diagnosis module comprise an association mapping table of equipment states and data deviation, a threshold value of a normal range of a historical data interval, a substance conservation or energy conservation relation between key parameters, and a mapping relation of equipment diagnosis states and data reliability. Preferably, the data application layer includes a data security module. Preferably, a method of a thermal power generation carbon emission monitoring system includes the steps of: Step S1, acquiring the amount of fuel fed into a furnace, the components of the fuel fed into the furnace, low-position heating value, the concentration of CO 2 in flue gas, the concentration/flow/temperature/pressure of O 2 and the generating capacity/heat supply quantity of a unit in real time through a data acquisition layer; s2, preprocessing the data acquired in the step S1 in a data processing layer; S3, respectively and independently calculating theoretical carbon emission based on a fuel end and theoretical carbon emission based on a smoke end on a data processing layer based on the preprocessed data; S4, determining the real-time credibility based on the fuel end data and the flue gas end data on the basis of the credibility checking rule and the re