CN-121998662-A - Carbon emission data statistics and carbon management control system of desulfurization system

CN121998662ACN 121998662 ACN121998662 ACN 121998662ACN-121998662-A

Abstract

The invention relates to the field of industrial process control and data management, and particularly discloses a carbon emission data statistics and carbon management control system of a desulfurization system. Panoramic carbon flow metering is achieved by constructing a full-flow carbon atom tracking model, a carbon flow coupling relation with an upstream process and a downstream process is established, a dynamic carbon control instruction is generated by utilizing a multi-target collaborative optimization algorithm, and a closed-loop control system integrating sensing, accounting, optimizing and executing is formed, so that carbon statistical integrity and cross-process collaborative emission reduction capability are improved.

Inventors

LI XUANTONG
ZHANG LIXIN
DAI XUAN

Assignees

华能国际电力股份有限公司丹东电厂

Dates

Publication Date: 20260508
Application Date: 20260106

Claims (10)

1. The desulfurization system carbon emission data statistics and carbon management and control system, characterized by comprising: the carbon flow panoramic sensing module is used for collecting all direct and indirect data related to carbon in the whole flow of the desulfurization process in real time, and preprocessing the collected original data to generate a standardized carbon flow rate signal; The multi-scale carbon accounting engine is connected to the carbon flow panoramic sensing module and is used for receiving the standardized carbon flow rate signal, and performing multi-level carbon accounting from the equipment level to the system level to the factory level based on the built-in carbon flow tracking model and the dynamic accounting rule base so as to output a structured carbon accounting result; The carbon flow collaborative optimization module is connected to the multi-scale carbon accounting engine and is used for solving under the constraint of a carbon flow coupling model through a built-in multi-objective dynamic optimization controller based on the structural carbon accounting result, a preset optimization target, an externally input production plan and an environment-friendly constraint so as to generate a globally optimal carbon management control instruction set; And the carbon control execution and feedback module is connected to the carbon flow collaborative optimization module and the distributed control system of the desulfurization system and is used for decomposing and converting the carbon control instruction set into executable control signals and transmitting the executable control signals to the distributed control system, and meanwhile, the actual effect after the instruction execution is monitored and compared with the expected effect to form closed loop feedback and trigger strategy re-optimization.
2. The sulfur removal system carbon emission data statistics and carbon management system of claim 1, wherein the data collected by the carbon flow panorama sensing module comprises process material flow carbon data, process energy flow carbon data, and associated process carbon data; The process material flow carbon data comprises the instantaneous flow and carbon content of a desulfurizing agent, the concentration and flow of carbon dioxide and carbon monoxide in raw flue gas, the yield of desulfurization byproducts and the carbon content thereof, the emission of desulfurization wastewater and the concentration of soluble organic carbon and inorganic carbon thereof; the process energy flow carbon data comprises real-time power of all power consumption equipment of the desulfurization system and system steam consumption; The related process carbon data is acquired through a factory-level data bus and comprises carbon element analysis data of boiler fire coal, power generation load and energy consumption and material data of a downstream byproduct treatment procedure.
3. The sulfur removal system of claim 2, wherein the preprocessing of the raw data collected by the carbon flow panorama sensing module comprises outlier rejection, noise filtering and time stamp alignment, and uniformly converting all data into the normalized carbon flow rate signal in kilograms of carbon per hour.
4. The desulfurization system carbon emission data statistics and carbon management system according to claim 1, wherein the multi-scale carbon accounting engine performs an equipment-level carbon accounting process of calculating an indirect carbon emission amount of a single equipment based on an equipment real-time power signal in the standardized carbon flow rate signal in combination with an electric carbon emission factor stored in the dynamic accounting rule base; integrating indirect carbon emission of all equipment, and superposing direct carbon emission of the process calculated based on the carbon flow tracking model, wherein a calculation formula of the direct carbon emission of the process is that the total amount of carbon flow entering a system is subtracted by the total amount of carbon flow solidified in byproducts and the total amount of carbon flow discharged along with wastewater; The factory-level carbon accounting process comprises the steps of carrying out coupling analysis on the net carbon emission of the desulfurization system and the associated process carbon data, and calculating the marginal influence of the operation of the desulfurization system on the whole factory carbon balance.
5. The desulfurization system of claim 4, wherein the carbon flow tracking model is a mathematical model constructed based on mass conservation law, the model abstracts the desulfurization system into a network comprising a plurality of carbon nodes, each node representing a process unit, the connections between nodes representing a carbon flow path, and the model calculates and tracks the carbon atoms in the process unit nodes in real time according to the input standardized carbon flow rate signal.
6. The system for statistics and control of carbon emission data of a desulfurization system according to claim 5, wherein the carbon flow tracking model performs state estimation by using an extended Kalman filter, the extended Kalman filter performs optimal estimation on carbon flow state variables which cannot be directly measured in the model by using a measured value of the carbon flow panoramic sensing module as an observation input and a state space equation constructed based on chemical reaction dynamics and material balance as a prediction model, and synchronously updates a covariance matrix of an estimation error by recursion calculation.
7. The desulfurization system carbon emission data statistics and carbon management system according to claim 1, wherein the multi-objective dynamic optimization controller in the carbon flow collaborative optimization module simultaneously processes three optimization objectives of minimizing total carbon emission cost for operation of the desulfurization system, maximizing carbon recycling of desulfurization byproducts, and meeting dynamically changing sulfur dioxide emission concentration environmental constraints; The controller adopts a mixed algorithm combining constrained particle swarm optimization and linear programming to solve, iteratively adjusts a group of decision variables in each optimization period, wherein the decision variables comprise limestone slurry supply flow, circulating slurry pH set value, oxidation air flow and dehydrator operation frequency, the algorithm finds the pareto optimal solution set by simulating the influence of different combinations of the decision variables on the optimization target, and an optimal operation point is selected from the solution set according to preset priority weights so as to be converted into the carbon management control instruction set.
8. The desulfurization system carbon emission data statistics and carbon management system according to claim 7, wherein the multi-objective dynamic optimization controller introduces a carbon emission trading price as a dynamic weight coefficient when solving the pareto optimal solution set, and the controller obtains the carbon quota price of the carbon emission trading market in real time through a data interface and uses the price as a key coefficient in the minimized total carbon emission cost objective function.
9. The sulfur removal system carbon emission data statistics and feedback control system of claim 1, wherein the carbon control execution and feedback module comprises an instruction translator, an execution agent, and a feedback evaluation unit; The instruction translator is used for translating the advanced optimization target in the carbon control instruction set into a specific set value adjustment quantity of a bottom layer control loop; The execution agent is used for safely and smoothly writing the set value adjustment quantity into a corresponding control module of the distributed control system; The feedback evaluation unit is used for continuously monitoring the actual running state of the system after the instruction is executed, comparing the monitored actual effect with the expected effect of the carbon flow collaborative optimization module and calculating a deviation value, and sending a re-optimization trigger signal to the carbon flow collaborative optimization module when the deviation value continuously exceeds a preset threshold value.
10. The desulfurization system carbon emission data statistics and carbon management control system according to claim 9, wherein a prediction model based on a long-short-term memory network is built in the feedback evaluation unit, the prediction model predicts a change track of key parameters in a future set time according to a control instruction and a system working condition which are issued currently, the feedback evaluation unit compares the prediction track with an expected target track in advance, and if the prediction display is seriously deviated, an early warning signal is sent to the carbon flow collaborative optimization module in advance to start preventive re-optimization.

Description

Carbon emission data statistics and carbon management control system of desulfurization system Technical Field The invention belongs to the field of industrial process control and data management, and particularly relates to a carbon emission data statistics and carbon management control system of a desulfurization system. Background In the field of industrial environmental protection, energy conservation and emission reduction, accurate statistics and intelligent control of carbon emission in the production process are core links for realizing the aim of double carbon. The flue gas desulfurization system in the industries of thermal power, steel, chemical industry and the like is used as an important environmental protection facility, the operation process of the flue gas desulfurization system is accompanied with remarkable indirect carbon emission, and the effective management of the emission data is a key technical direction of carbon emission reduction in the industry. The carbon emission data statistics and carbon management control system of the desulfurization system aims at collecting, accounting and analyzing carbon data generated in the whole flow of the desulfurization process and implementing optimization control according to the carbon data. The prior art generally treats desulfurization systems as stand-alone pollution abatement units, with significant limitations in carbon emission management. In the prior art, carbon emission accounting in the desulfurization process is mostly concentrated on indirect emission such as electric energy consumption, and carbon flow contained in desulfurization reaction byproducts such as gypsum or wastewater treatment process is ignored, so that carbon footprint statistics is incomplete. Meanwhile, the existing control strategy lacks of carbon flow collaborative analysis on links such as a desulfurization system, front-end combustion, back-end product recycling and the like, so that the system is only used as a passive 'tail end treatment' unit and cannot be integrated into a whole carbon circulation and optimization system of a factory. The data is split and the island state is managed, so that enterprises are difficult to mine effective carbon emission reduction potential from a desulfurization link, and cannot support accurate carbon quota management and transaction decision. Disclosure of Invention The invention aims to provide a carbon emission data statistics and carbon management control system of a desulfurization system, so as to solve the technical contradiction that the carbon emission statistics of the desulfurization system in the prior art is incomplete, the management control strategy is isolated and cannot be integrated into a whole carbon circulation optimization system of a factory. The invention provides a carbon emission data statistics and carbon management control system of a desulfurization system, which comprises a carbon flow panoramic sensing module, a multi-scale carbon accounting engine, a carbon flow collaborative optimization module and a carbon management control execution and feedback module. According to the system, a carbon atom tracking model covering the whole flow substance flow and the energy flow of the desulfurization system is constructed, panoramic carbon flow metering from carbon input and carbon conversion to carbon output is realized, on the basis, a carbon flow coupling relation between the desulfurization system and an upstream process and a downstream process is established, a dynamic carbon control instruction is generated through a multi-target collaborative optimization algorithm, and finally a closed-loop carbon control system integrating sensing, accounting, optimization and execution is formed. The carbon flow panoramic sensing module is used for collecting all direct and indirect data related to carbon in the whole flow of the desulfurization process in real time. The module is provided with a high-precision sensor network and a data interface, and the collected data is divided into 3 types. Class 1 is process stream carbon data including instantaneous flow and carbon content of a desulfurizing agent such as limestone or ammonia, concentration and flow of carbon dioxide and carbon monoxide in raw flue gas, yield and carbon content of desulfurization byproducts such as gypsum or ammonium sulfate, desulfurization wastewater discharge and soluble organic and inorganic carbon concentrations thereof. Class 2 is process energy flow carbon data, including real-time power of all power consuming equipment such as pumps, fans, agitators, oxidative fans, etc. of the desulfurization system, and system steam consumption. The 3 rd class is related process carbon data, which is obtained through a factory-level data bus and comprises carbon element analysis data of boiler fire coal, power generation load, and energy consumption and material data of a downstream gypsum calcination or ammonium sulfate refining process. The