A multi-source heterogeneous thermal power plant unit carbon emission management method, system and medium

Abstract

The application provides a multi-source heterogeneous thermal power plant unit carbon emission management method, system and medium, and belongs to the technical field of carbon emission. The method comprises the following steps: collecting coal for entering a furnace, and preparing a monthly carbon emission analysis coal sample; performing chemical test on the monthly carbon emission analysis coal sample to obtain the sufficient combustion carbon emission amount of the coal for entering the furnace, and calculating the total carbon emission amount of all units; distributing carbon emission indexes according to unit loads, and performing multi-stage constraint optimization on the units when the carbon emission exceeds the carbon emission indexes; recording coal sample data in the processes of collecting, preparing the coal sample and chemical test, and performing safety supervision through a double electronic signature mechanism. The method realizes traceability of carbon emission data sources and accuracy and stability of accounting results by establishing a complete and normative carbon emission calculation process, and realizes collaborative regulation and control of carbon emission amount and load distribution by constructing a multi-stage constraint optimization model.

Description

Technical Field

[0001] This invention belongs to the field of carbon emission technology, specifically relating to a carbon emission management method, system and medium for multi-source heterogeneous thermal power plant units. Background Technology

[0002] The common method for calculating carbon emissions from coal-fired power plants is to count the amount of coal fed into the furnace. However, the differences in power generation efficiency and boiler combustion efficiency among different unit configurations lead to different calculation methods for carbon emissions from each unit. Therefore, measuring the average calorific value of the coal fed into the furnace and combining it with the amount of coal burned has become the most reliable method for calculating the carbon emissions of the unit.

[0003] Traditional statistical methods involve recording coal sample flow information on paper documents, manually calculating the monthly carbon emission analysis coal sample quality, judging whether the unit's carbon emissions exceed the standard based on experience, and adjusting the unit load in conjunction with the electricity load. Ensuring that the coal entering the furnace is processed and tested in a standardized and sequential manner, accurately calculating the monthly carbon emission analysis coal sample and scientifically optimizing the unit load, and quickly retrieving and backtracking carbon emission data have become urgent problems to be solved.

[0004] Chinese invention patent application document with publication number CN119180518A discloses a digital energy and carbon management system. It measures the carbon emissions of enterprises in real time through sensors in the real-time energy consumption control unit. It improves the management level of dual carbon by combining carbon emission accounting and supply chain collaborative regulation. However, the real-time measurement of carbon emissions by thermal power plants using sensors is greatly affected by factors such as temperature and wind speed, which can easily produce large errors. There are no regulations yet on the measurement of carbon emissions by sensors. Chinese invention patent application document with publication number CN118410091A discloses a centralized management system and method for distributed carbon data. It uses the principle of distributed data storage to ensure that the authenticity of the data uploaded to the system is greatly improved. However, it lacks the standardization of the carbon emission calculation process and the supervision of the order of each step, and cannot guarantee the authenticity of the carbon emission data before uploading, which poses a risk of fraud. Chinese invention patent application document with publication number CN117933779A discloses a comprehensive carbon emission assessment system and method, which collects, models, assesses and predicts the trend of carbon emission data of traditional energy systems at the unit level and system coverage area level, but lacks specific optimization strategies or control methods for proactive regulation of carbon emission amount or structure in the region. Summary of the Invention

[0005] To address the problems in the prior art, this invention proposes a carbon emission management method, system, and medium for multi-source heterogeneous thermal power plant units. By establishing a complete and standardized carbon emission calculation process, the invention achieves traceability of carbon emission data sources and accurate and stable calculation results. Furthermore, by constructing a multi-level constraint optimization model, the invention enables coordinated control of carbon emissions and load allocation.

[0006] The technical solution of the present invention is as follows: In a first aspect, the present invention provides a method for carbon emission management of multi-source heterogeneous thermal power plant units, comprising the following steps: Collect coal fed into the furnace and prepare coal samples for monthly carbon emission analysis; The monthly carbon emission analysis coal samples were tested to obtain the carbon emission of the coal type after full combustion, and the total carbon emission of all units was calculated. Based on the carbon emission targets allocated to the unit load, when carbon emissions exceed the targets, multi-level constraint optimization is performed on the unit. Record coal sample data during the collection, preparation, and testing processes, and conduct safety supervision through a dual electronic signature mechanism.

[0007] Furthermore, the monthly reduced sample mass of the coal sample for the monthly carbon emission analysis shall not be less than the preset mass M1, and the daily reduced sample mass... The calculation formula is as follows: ; in, For the first The quality of retained coal samples for daily carbon emission analysis of a single generating unit. This represents the number of coal samples fed into the furnace by the unit in that month.

[0008] Furthermore, the analysis of coal samples for monthly carbon emission analysis includes the following specific steps: Collect the amount of coal fed into the furnace at the preset ratio for the corresponding unit on the same day, and prepare a test sample with a particle size ≤0.2mm; The monthly sample quality of each unit shall not be less than the preset sample quality M2, and the daily sample quality shall be... The calculation formula is as follows: ; in, The mass of the test sample with a particle size ≤ 0.2 mm; This represents the number of coal samples fed into the furnace by the unit in that month.

[0009] Furthermore, the calculation of the total carbon emissions of all units specifically includes: Calculate the first The theoretical daily carbon emissions of each unit Expressed as a formula: ; in, For the first The unit was in the first s The quality of coal fed into the furnace per second; Carbon emissions from the complete combustion of the coal type fed into the furnace; For the first The unit was in the first s Combustion efficiency per second; For the first The number of working seconds per unit per day; Calculate the theoretical daily carbon emissions of all units. Expressed as a formula: ; in, Number of generating units; The actual monthly carbon emissions of the computer group Expressed as a formula: ; in, This represents the mapping relationship between the theoretical monthly carbon emissions from coal fed into the furnace and the actual monthly carbon emissions. For the first The theoretical monthly average carbon emissions of each unit.

[0010] Furthermore, the multi-level constraint optimization of the unit specifically includes: Keeping the total load of all units constant, increase the load of units with high power generation efficiency and decrease the load of units with low power generation efficiency to optimize the unit load. Set an objective function and set three levels of constraints for the optimization process. The objective function is: ; in, This represents the theoretical daily carbon emissions of all generating units. To optimize the theoretical daily carbon emissions of all units; The three-level constraints specifically include: The first-level constraint sets a first load change threshold range, allowing the load of at least one unit to fluctuate within the first load change threshold range; Secondary constraint: Set a second load change threshold range, allowing the load of all units to fluctuate within the second load change threshold range; Level 3 constraints allow for unit start-up and shutdown.

[0011] Furthermore, the retention of coal samples for daily carbon emission analysis of a single unit is carried out using mechanized equipment. Mechanized sampling is performed at the coal sampling locations specified in the coal blending table based on a time base, and an automatic encryption and packaging device is used for sample collection.

[0012] Secondly, this invention proposes a carbon emission management system for multi-source heterogeneous thermal power plant units, the system comprising: The coal sampling module is used for mechanized collection of coal samples entering the furnace and for automatic encrypted packaging of the samples. The sample preparation and testing module is used to prepare coal samples for monthly carbon emission analysis and test the carbon emissions of the fully combusted coal samples for monthly carbon emission analysis. When preparing coal samples for monthly carbon emission analysis, the preparation ratio is weighed and verified according to the preset daily and monthly sample reduction amounts. The carbon emission calculation module calculates the theoretical carbon emissions based on the quality of coal fed into the furnace, the carbon emissions from complete combustion, and the unit's combustion efficiency, and derives the actual carbon emissions based on the mapping relationship between the theoretical and actual carbon emissions. The carbon emission optimization module adjusts the unit load and optimizes carbon emissions through multi-level constraints when carbon emissions exceed emission targets. The safety supervision module records information on the collection, sample preparation, and testing processes, and supervises them through a dual electronic signature mechanism.

[0013] Furthermore, the process information includes coal sample quality, coal sample code, and timestamp, and the coal sample can be retrieved and traced back by unit number and date.

[0014] Furthermore, the dual electronic signature mechanism specifically includes: Operators initiate sample request after their identity is verified through the system, and the system records the operator's electronic signature information; Supervisors review sample request requests and record their electronic signatures through system authentication. The sample adjustment operation is allowed only after the electronic signature information of both the operator and the supervisor is authorized and valid.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any of the above-mentioned embodiments.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention calculates carbon emissions based on coal sampling and elemental analysis data. By establishing a proportional reduction mechanism between daily and monthly carbon emission analysis coal samples, and combining the carbon emissions per unit mass of coal after full combustion, the accuracy of carbon emission data is improved and the environmental impact is reduced. A complete closed-loop calculation process was constructed, from coal collection, coal sample preparation, coal sample testing to carbon emission calculation. The process information was automatically recorded, and the process standardization was supervised and ensured through a dual electronic signature mechanism. Based on the completion of carbon emission accounting, the unit load is optimized through multi-level constraints, and the operating status of individual units, the coupling relationship between units, and the total emission indicators of thermal power plants are uniformly controlled to improve energy utilization efficiency and emission control level, and make up for the lack of optimization control strategies in existing technologies. Attached Figure Description

[0017] Figure 1 This is a flowchart of a carbon emission management method for multi-source heterogeneous thermal power plant units. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1 This embodiment provides a method for carbon emission management of multi-source heterogeneous thermal power plant units, such as... Figure 1 As shown, it includes the following steps: Collect coal fed into the furnace and prepare coal samples for monthly carbon emission analysis; The monthly carbon emission analysis coal samples were tested to obtain the carbon emission of the coal type after full combustion, and the total carbon emission of all units was calculated. Based on the carbon emission targets allocated to the unit load, when the carbon emissions exceed the targets, multi-level constraint optimization is performed on the unit. Record coal sample data during the collection, preparation, and testing processes, and conduct safety supervision through a dual electronic signature mechanism.

[0020] Preferably, the monthly reduced sample mass of the coal sample for the monthly carbon emission analysis is ≥5kg, and the daily reduced sample mass is ≥5kg. The calculation formula is as follows: ; in, For the first The quality of retained coal samples for daily carbon emission analysis of a single generating unit. This represents the number of coal samples fed into the furnace by the unit in that month.

[0021] Taking the coal samples from a unit for carbon emission analysis over 8 days in a certain month as an example, the daily coal sample mass for carbon emission analysis is 700g, 700g, 750g, 750g, 800g, 800g, 850g, and 850g respectively. The calculated daily required mass for preparing the monthly carbon emission analysis coal sample is 564.52g, 564.52g, 604.84g, 604.84g, 645.16g, 645.16g, 685.48g, and 685.48g respectively. The mass of the monthly reduced sample is 5kg.

[0022] Preferably, the retention of coal samples for daily carbon emission analysis of a single unit is carried out using mechanized equipment, strictly following the coal sampling location specified in the coal blending table and using a time base for mechanized sampling, and using an automatic encryption and packaging device for sample collection.

[0023] Preferably, the analysis of coal samples for monthly carbon emission analysis includes the following specific steps: Collect 3‰ of the coal mass of the corresponding unit that day and prepare a test sample with a particle size ≤0.2mm; The monthly sample weight per unit is ≥200g, and the daily sample weight is ≥200g. The calculation formula is as follows: ; in, The mass of the test sample with a particle size ≤ 0.2 mm; This represents the number of coal samples fed into the furnace by the unit in that month.

[0024] Preferably, the calculation of the total carbon emissions of all units specifically includes: Calculate the first The theoretical daily carbon emissions of each unit Expressed as a formula: ; in, For the first The unit was in the first s The quality of coal fed into the furnace per second; Carbon emissions from the complete combustion of the coal type fed into the furnace; For the first The unit was in the first s Combustion efficiency per second; For the first The number of working seconds per unit per day; Calculate the theoretical daily carbon emissions of all units. Expressed as a formula: ; in, Number of generating units; Because different generating units have different power generation efficiencies, the actual carbon emissions of a unit need to be calculated by working backwards from its power generation efficiency and combustion efficiency. The actual monthly carbon emissions of the unit are... for: ; in, This represents the mapping relationship between the theoretical monthly carbon emissions from coal fed into the furnace and the actual monthly carbon emissions. For the first The theoretical monthly average carbon emissions of each unit; The combustion efficiency curve of the unit boiler can be obtained by integrating the unit boiler combustion efficiency and the daily average load.

[0025] Preferably, the multi-level constraint optimization of the unit specifically includes: To maintain a constant total load across all generating units, the load of units with high power generation efficiency is increased, while the load of units with low power generation efficiency is decreased. This is achieved using a particle swarm optimization (PSO) algorithm, which comprises two elements: an objective function and constraints. Specifically: The objective function is expressed as: ; in, To optimize the theoretical daily carbon emissions of all units; The constraints include a first constraint and a second constraint. The first constraint is set so that the total unit load fluctuates within a preset range, which can be expressed by the formula: ; in, Total load of the unit; The second constraint is to set a third-level constraint for the optimization process; Level 1 constraint allows at least one unit to undergo load changes, with the load change range expressed as follows: ; in, To preset the minimum workload level; Initial unit load; Secondary constraints: When carbon emission requirements are still not met after optimization of primary constraints, all units are allowed to change their load. The range of load changes is expressed as follows: ; in, The preset minimum workload level is 2; Level 3 constraints: When the carbon emission requirements are still not met after optimization of Level 2 constraints, unit start-up and shutdown are permitted, and the load variation range is expressed as follows: .

[0026] Example 2 This embodiment provides a carbon emission management system for multi-source heterogeneous thermal power plant units, including: The coal sampling module is used for mechanized collection of coal samples entering the furnace and for automatic encrypted packaging of the samples. The sample preparation and testing module is used to prepare coal samples for monthly carbon emission analysis and test the carbon emissions of the fully combusted coal samples for monthly carbon emission analysis. When preparing coal samples for monthly carbon emission analysis, the preparation ratio is weighed and verified according to the preset daily and monthly sample reduction amounts. The carbon emission calculation module calculates the theoretical carbon emissions based on the quality of coal fed into the furnace, the carbon emissions from complete combustion, and the unit's combustion efficiency, and derives the actual carbon emissions based on the mapping relationship between the theoretical and actual carbon emissions. The carbon emission optimization module adjusts the unit load and optimizes carbon emissions through multi-level constraints when carbon emissions exceed emission targets. The safety supervision module records information on the collection, sample preparation, and testing processes, and supervises them through a dual electronic signature mechanism.

[0027] Preferably, the dual electronic signature mechanism involves the operator initiating a sample adjustment request after being authenticated by the system, the system recording the operator's electronic signature information, and the supervisor viewing the sample adjustment request and recording the supervisor's electronic signature information after being authenticated by the system. The sample adjustment operation is allowed to be executed only after both the operator's and supervisor's electronic signature information are authorized and valid.

[0028] The carbon emission management system is highly compatible with the fuel management system. The distributed data storage and access mechanism ensures that each operation is only for a single batch of coal samples and will not affect other batches of coal samples, staff, or other modules of the fuel management system. At the same time, it reduces the risk of intrusion and tampering. The multi-layered security mechanism improves data security and operational transparency. The safety supervision module standardizes the supervision process for collection, sample preparation, and testing, and automatically records data at each stage, including coal sample quality, coal sample code, and timestamp. This ensures the completeness of data recording at each stage and enables rapid retrieval and backtracking of coal samples based on conditions such as unit number and date.

[0029] Example 3 This embodiment provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in Embodiment 1.

[0030] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structure made using the contents of the present invention specification and drawings, or directly or indirectly applied to other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for carbon emission management of multi-source heterogeneous thermal power plant units, characterized in that, Includes the following steps: Collect coal fed into the furnace and prepare coal samples for monthly carbon emission analysis; The monthly carbon emission analysis coal samples were tested to obtain the carbon emission of the coal type after full combustion, and the total carbon emission of all units was calculated. Based on the carbon emission targets allocated to the unit load, when carbon emissions exceed the targets, multi-level constraint optimization is performed on the unit. Record coal sample data during the collection, preparation, and testing processes, and conduct safety supervision through a dual electronic signature mechanism.

2. The carbon emission management method for multi-source heterogeneous thermal power plant units according to claim 1, characterized in that, The monthly reduced sample mass of the coal sample for the monthly carbon emission analysis shall not be less than the preset mass M1, and the daily reduced sample mass... The calculation formula is as follows: ； in, For the first The quality of retained coal samples for daily carbon emission analysis of a single generating unit. This represents the number of coal samples fed into the furnace by the unit in that month.

3. The carbon emission management method for multi-source heterogeneous thermal power plant units according to claim 1, characterized in that, The analysis of coal samples for monthly carbon emissions includes the following specific steps: Collect the amount of coal fed into the furnace at the preset ratio for the corresponding unit on the same day, and prepare a test sample with a particle size ≤0.2mm; The monthly sample quality of each unit shall not be less than the preset sample quality M2, and the daily sample quality shall be... The calculation formula is as follows: ； in, The mass of the test sample with a particle size ≤ 0.2 mm; This represents the number of coal samples fed into the furnace by the unit in that month.

4. The carbon emission management method for multi-source heterogeneous thermal power plant units according to claim 1, characterized in that, The calculation of the total carbon emissions of all units specifically includes: Calculate the first The theoretical daily carbon emissions of each unit Expressed as a formula: ； in, For the first The unit was in the first s The quality of coal fed into the furnace per second; Carbon emissions from the complete combustion of the coal type fed into the furnace; For the first The unit was in the first s Combustion efficiency per second; For the first The number of working seconds per unit per day; Calculate the theoretical daily carbon emissions of all units. Expressed as a formula: ； in, Number of generating units; The actual monthly carbon emissions of the computer group Expressed as a formula: ； in, This represents the mapping relationship between the theoretical monthly carbon emissions from coal fed into the furnace and the actual monthly carbon emissions. For the first The theoretical monthly average carbon emissions of each unit.

5. The carbon emission management method for multi-source heterogeneous thermal power plant units according to claim 1, characterized in that, The multi-level constraint optimization of the unit specifically refers to: Keeping the total load of all units constant, increase the load of units with high power generation efficiency and decrease the load of units with low power generation efficiency to optimize the unit load. Set an objective function and set three levels of constraints for the optimization process. The objective function is: ； in, This represents the theoretical daily carbon emissions of all generating units. To optimize the theoretical daily carbon emissions of all units; The three-level constraints specifically include: The first-level constraint sets a first load change threshold range, allowing the load of at least one unit to fluctuate within the first load change threshold range; Secondary constraint: Set a second load change threshold range, allowing the load of all units to fluctuate within the second load change threshold range; Level 3 constraints allow for unit start-up and shutdown.

6. The carbon emission management method for multi-source heterogeneous thermal power plant units according to claim 2, characterized in that, The retention of coal samples for daily carbon emission analysis of a single unit is carried out using mechanized equipment. Mechanized sampling is performed at the coal sampling locations specified in the coal blending table based on a time base, and the samples are collected using an automatic encryption and packaging device.

7. A carbon emission management system for multi-source heterogeneous thermal power plant units, characterized in that, The system includes: The coal sampling module is used for mechanized collection of coal samples entering the furnace and for automatic encrypted packaging of the samples. The sample preparation and testing module is used to prepare coal samples for monthly carbon emission analysis and test the carbon emissions of the fully combusted coal samples for monthly carbon emission analysis. When preparing coal samples for monthly carbon emission analysis, the preparation ratio is weighed and verified according to the preset daily and monthly sample reduction amounts. The carbon emission calculation module calculates the theoretical carbon emissions based on the quality of coal fed into the furnace, the carbon emissions from complete combustion, and the unit's combustion efficiency, and derives the actual carbon emissions based on the mapping relationship between the theoretical and actual carbon emissions. The carbon emission optimization module adjusts the unit load and optimizes carbon emissions through multi-level constraints when carbon emissions exceed emission targets. The safety supervision module records information on the collection, sample preparation, and testing processes, and supervises them through a dual electronic signature mechanism.

8. A carbon emission management system for multi-source heterogeneous thermal power plant units according to claim 7, characterized in that, The process information includes coal sample quality, coal sample code, and timestamp, and the coal sample can be retrieved and traced back by unit number and date.

9. A carbon emission management system for multi-source heterogeneous thermal power plant units according to claim 7, characterized in that, The dual electronic signature mechanism specifically includes: Operators initiate sample request after their identity is verified through the system, and the system records the operator's electronic signature information; Supervisors review sample request requests and record their electronic signatures through system authentication. The sample adjustment operation is allowed only after the electronic signature information of both the operator and the supervisor is authorized and valid.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 6.

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