Heat supply system carbon conversion process modeling and low-carbon optimization operation scheduling decision-making method

Abstract

The invention relates to the technical field of heat supply systems, and discloses a heat supply system carbon conversion process modeling and low-carbon optimization operation scheduling decision-making method, which is based on a carbon conversion model, performs optimization analysis on the carbon conversion model, searches and optimizes a heat supply unit of a thermal power plant and a mode of using resources of the heat supply unit, operates the heat supply unit in a low-carbon operation mode to the thermal power plant, and records data. And analyzing the operation result of the thermal power plant in low-carbon operation, and judging whether the operation result accords with an expected target or not. According to the carbon conversion process modeling and low-carbon optimization operation scheduling decision-making method for the heat supply system, the heat supply device and the productivity of a thermal power plant are counted, the emission mode of the thermal power plant is analyzed, carbon emission data is counted, the influence of the carbon emission mode on the atmosphere under different situations is synthesized, a model is established, the model is analyzed and compared, and the carbon conversion process of the thermal power plant is determined. After the obtained optimal mode is applied to the thermal power plant, the carbon conversion and low carbon emission of the thermal power plant are judged, the total carbon emission of the thermal power plant is reduced, the control quality is improved, and the ecological environment is protected.

Description

Technical Field

[0001] The present invention relates to the technical field of heating systems, and in particular to a method for modeling a carbon conversion process of a heating system and a low-carbon optimized operation scheduling decision-making method. Background Art

[0002] The heating system consists of three parts: heat source, heat network and heat users. The heating system is a heating network that uses centralized heat sources to supply heat energy for production or life to heat users through facilities such as heating pipelines. Carbon is usually used as a heating production material in the operation of the heating system. In order to save energy and achieve green production, it is necessary to model the carbon conversion process and optimize low-carbon operation.

[0003] In the prior art, the heating system usually adopts the form of power generation by the heating units of thermal power plants. However, in actual use, thermal power plants will emit a large amount of carbon dioxide in the production of energy. If carbon dioxide emissions cannot be reduced, the total carbon emissions will continue to rise, causing air pollution and damaging the ecological environment. Therefore, it is necessary to invent a carbon conversion process modeling and low-carbon optimization operation scheduling decision-making method for the heating system to solve the above problems. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies in the prior art, the present invention provides a method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation and scheduling. During use, the heating devices and production capacity of a thermal power plant are counted, the emission methods of the thermal power plant are analyzed, the carbon emission data are counted, and the impact of carbon emission methods on the atmosphere under different scenarios is comprehensively considered to establish a model. The models are analyzed and compared, and the optimal method is applied to the thermal power plant to judge the carbon conversion and low-carbon emissions of the thermal power plant, thereby reducing the total carbon emissions of the thermal power plant, improving the control quality, and protecting the ecological environment. At the same time, in the optimization process, by taking into account the electric and thermal load characteristics of the heating unit and the characteristics of the heating unit itself, and combining the resource loss of the heating unit for result analysis, the decision-making method is more in line with the production of the thermal power plant, thus avoiding the cost increase caused by the optimization of the enterprise.

[0006] (II) Technical solution

[0007] In order to realize the above-mentioned heating system, the present invention provides the following technical solution: a heating system carbon conversion process modeling and low-carbon optimization operation scheduling decision method, comprising the following steps:

[0008] S1. Statistics of heating devices in thermal power plants

[0009] Statistics are collected on the number and types of heating units in thermal power plants, and their energy consumption, losses and emissions are recorded.

[0010] S2. Determination of thermal power plant production and emission methods

[0011] Statistics are collected on the production capacity of thermal power plants in different seasons, and the carbon dioxide emission patterns generated by the thermal power plants are determined.

[0012] S3. Carbon emission data statistics

[0013] Count the carbon emission data in different seasons and perform modeling.

[0014] S4. Carbon Emission Modeling

[0015] Optimize the carbon emission method to achieve carbon conversion emission, and establish a model after optimizing carbon emission based on the basic carbon emission model.

[0016] S5. Low-carbon operation analysis

[0017] Based on the carbon conversion model, an optimization analysis is conducted to find ways to optimize the heating units of thermal power plants and their use of resources.

[0018] S6. Thermal power plant low-carbon mode operation

[0019] Run low-carbon operation mode to thermal power plants and record data.

[0020] S7. Operation result analysis and testing

[0021] Analyze the operating results of low-carbon thermal power plants to determine whether they meet the expected goals.

[0022] S8. Optimize emission reduction

[0023] Judging the analysis results, if the optimization is not satisfied, a secondary optimization is carried out on the basis of the initial optimization to further optimize and reduce emissions.

[0024] Preferably, in step S1, the calculation formula for the energy consumption of the heating unit is:

[0025]

[0026] When calculating energy consumption, external factors need to be considered, and factors such as water supply pumps, heating network circulating water pumps and heating butterfly valves need to be taken into account in the calculation of energy consumption.

[0027] When calculating the energy consumption of heating units, it is necessary to calculate based on the electric and thermal load characteristics of different heating units to avoid energy consumption errors.

[0028] The loss calculation formula is:

[0029]

[0030] Preferably, in step S2, the specific calculation formula generated is:

[0031]

[0032] Preferably, in step S3, the calculation formula for carbon emissions is:

[0033]

[0034] Carbon emissions are the product of activity level and emission factor.

[0035] The model is constructed in the form of carbon dioxide emissions, the emission factors are entered into the TED database for use, and the database is connected to the IPCC emission factor library.

[0036] Preferably, in step S4, when optimizing the emission mode, reference is made to the results of air pollution under different scenarios, and emission weather, temperature and humidity are taken into consideration as optimization factors.

[0037] The carbon dioxide is processed before it is emitted to undergo a carbon conversion process, thereby reducing the emission of carbon dioxide, and the converted carbon dioxide is used as a combustion raw material.

[0038] The carbon conversion method uses photocatalysis, which uses ultraviolet light to quickly convert carbon dioxide into organic matter.

[0039] Incorporate carbon conversion data into secondary modeling factors, and perform secondary modeling based on the original model.

[0040] The model is constructed using the CHPEE modeling method, taking the electrical load and thermal load into account during modeling.

[0041] Preferably, in step S5, the carbon emission model optimization calculation formula after optimizing carbon conversion is:

[0042]

[0043] Based on this formula, multiple calculations are performed to obtain low-carbon optimized operating values.

[0044] Preferably, in step S5, when optimizing the use resources of the heating units in the thermal power plant, it is necessary to construct an IEGS economic optimization model, and the model calculation formula is:

[0045]

[0046] The use of heating resources needs to take into account the power consumption, and the calculation formula for power consumption is:

[0047]

[0048] Based on the formula, the carbon conversion model is optimized.

[0049] Preferably, in step S6, statistics are collected on the optimized model data and applied to the heating unit.

[0050] The optimization data of different heating units need to be reallocated to avoid the same optimization data being unable to adapt to multiple heating units.

[0051] Preferably, in step S7, when analyzing the operation results, the coal consumption and power generation cost of the unit are recorded and summarized as the total power generation cost, and the calculation formula is:

[0052]

[0053] According to the calculation formula, the cost after emission reduction is calculated and analyzed.

[0054] Preferably, in step S10, the analysis result is compared with the expected target to determine whether it satisfies carbon conversion and low-carbon operation. If not, further optimization is performed until the optimal low-carbon operation mode is obtained.

[0055] (III) Beneficial effects

[0056] Compared with the prior art, the present invention provides a method for modeling the carbon conversion process of a heating system and a low-carbon optimization operation scheduling decision-making method, which has the following beneficial effects:

[0057] 1. The carbon conversion process modeling and low-carbon optimization operation and scheduling decision-making method of the heating system are carried out by statistically analyzing the heating equipment and production capacity of the thermal power plant, analyzing the emission methods of the thermal power plant, and statistically analyzing the carbon emission data. The impact of carbon emission methods on the atmosphere under different scenarios is integrated to establish a model, analyze and compare the models, and apply the optimal method to the thermal power plant. The carbon conversion and low-carbon emissions of the thermal power plant are judged, which reduces the total carbon emissions of the thermal power plant, improves the control quality, and protects the ecological environment.

[0058] 2. The carbon conversion process modeling and low-carbon optimization operation scheduling decision-making method of the heating system, during the optimization process, takes into account the electric heat load characteristics of the heating unit and the heating unit's own characteristics, and analyzes the results in combination with the resource loss of the heating unit, making the decision-making method more in line with the production of the thermal power plant and avoiding the cost increase caused by the enterprise during optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 The figure is a schematic diagram of the optimized operation flow of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] See also Figure 1 The present invention provides a technical solution: a heating system carbon conversion process modeling and a low-carbon optimization operation scheduling decision method, comprising the following steps:

[0062] S1. Statistics of heating devices in thermal power plants

[0063] Statistics are collected on the number and types of heating units in thermal power plants, and their energy consumption, losses and emissions are recorded.

[0064] S2. Determination of thermal power plant production and emission methods

[0065] Statistics are collected on the production capacity of thermal power plants in different seasons, and the carbon dioxide emission patterns generated by the thermal power plants are determined.

[0066] S3. Carbon emission data statistics

[0067] Count the carbon emission data in different seasons and perform modeling.

[0068] S4. Carbon Emission Modeling

[0069] Optimize the carbon emission method to achieve carbon conversion emission, and establish a model after optimizing carbon emission based on the basic carbon emission model.

[0070] S5. Low-carbon operation analysis

[0071] Based on the carbon conversion model, an optimization analysis is conducted to find ways to optimize the heating units of thermal power plants and their use of resources.

[0072] S6. Thermal power plant low-carbon mode operation

[0073] Run low-carbon operation mode to thermal power plants and record data.

[0074] S7. Operation result analysis and testing

[0075] Analyze the operating results of low-carbon thermal power plants to determine whether they meet the expected goals.

[0076] S8. Optimize emission reduction

[0077] Judging the analysis results, if the optimization is not satisfied, a secondary optimization is carried out on the basis of the initial optimization to further optimize and reduce emissions.

[0078] Furthermore, in step S1, the calculation formula of the energy consumption of the heating unit is:

[0079]

[0080] When calculating energy consumption, external factors need to be considered, and factors such as water supply pumps, heating network circulating water pumps and heating butterfly valves need to be taken into account in the calculation of energy consumption.

[0081] When calculating the energy consumption of heating units, it is necessary to calculate based on the electric and thermal load characteristics of different heating units to avoid energy consumption errors.

[0082] The loss calculation formula is:

[0083]

[0084] Furthermore, in step S2, the specific calculation formula generated is:

[0085]

[0086] Furthermore, in step S3, the calculation formula for carbon emissions is:

[0087]

[0088] Carbon emissions are the product of activity level and emission factor.

[0089] The model is constructed in the form of carbon dioxide emissions, the emission factors are entered into the TED database for use, and the database is connected to the IPCC emission factor library.

[0090] Furthermore, in step S4, when optimizing the emission mode, reference is made to the results of air pollution under different scenarios, and emission weather, temperature, and humidity are taken into consideration as optimization factors.

[0091] The carbon dioxide is processed before it is emitted to undergo a carbon conversion process, thereby reducing the emission of carbon dioxide, and the converted carbon dioxide is used as a combustion raw material.

[0092] The carbon conversion method uses photocatalysis, which uses ultraviolet light to quickly convert carbon dioxide into organic matter.

[0093] The carbon conversion data is incorporated into the factors of secondary modeling, and secondary modeling is performed based on the original model.

[0094] The model is constructed using the CHPEE modeling method, taking the electrical load and thermal load into account during modeling.

[0095] Furthermore, in step S5, the carbon emission model optimization calculation formula after optimizing carbon conversion is:

[0096]

[0097] Based on this formula, multiple calculations are performed to obtain low-carbon optimized operating values.

[0098] Furthermore, in step S5, when optimizing the use resources of the heating units in the thermal power plant, it is necessary to construct an IEGS economic optimization model, and the model calculation formula is:

[0099]

[0100] The use of heating resources needs to take into account the power consumption, and the calculation formula for power consumption is:

[0101]

[0102] Based on the formula, the carbon conversion model is optimized.

[0103] Furthermore, in step S6, statistics are collected on the optimized model data and applied to the heating unit.

[0104] The optimization data of different heating units need to be reallocated to avoid the same optimization data being unable to adapt to multiple heating units.

[0105] Furthermore, in step S7, when analyzing the operation results, the coal consumption and power generation cost of the unit are recorded and summarized as the total power generation cost, and the calculation formula is:

[0106]

[0107] According to the calculation formula, the cost after emission reduction is calculated and analyzed.

[0108] Furthermore, in step S10, the analysis result is compared with the expected target to determine whether it satisfies the carbon conversion and low-carbon operation. If not, further optimization is performed until the optimal low-carbon operation mode is obtained.

[0109] The carbon conversion process modeling and low-carbon optimization operation and scheduling decision-making method of the heating system, during use, statistics the heating equipment and production capacity of the thermal power plant, analyzes the emission methods of the thermal power plant, statistics the carbon emission data, and comprehensively considers the impact of carbon emission methods on the atmosphere under different scenarios. In this way, a model is established, and the model is analyzed and compared. After the optimal method is applied to the thermal power plant, the carbon conversion and low-carbon emissions of the thermal power plant are judged, the total carbon emissions of the thermal power plant are reduced, the control quality is improved, and the ecological environment is protected. At the same time, in the optimization process, by taking into account the electric and thermal load characteristics of the heating unit and the characteristics of the heating unit itself, and combining the resource loss of the heating unit for result analysis, the decision-making method is more in line with the production of the thermal power plant, avoiding the cost increase caused by the enterprise during optimization.

[0110] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Modeling of carbon conversion process of heating system and decision-making method for low-carbon optimization operation scheduling, characterized in that: The following steps are involved: S1. Statistics of heating devices in thermal power plants Count the number and types of heating units in thermal power plants, and record their energy consumption, losses and emissions; S2. Determination of thermal power plant production and emission methods Count the production capacity of thermal power plants in different seasons and determine the carbon dioxide emissions generated by thermal power plants; S3. Carbon emission data statistics Collect carbon emission data in different seasons and conduct modeling; S4. Carbon Emission Modeling Optimize the carbon emission mode to achieve carbon conversion emission. Based on the basic carbon emission model, establish a model after optimizing carbon emission; S5. Low-carbon operation analysis Based on the carbon conversion model, we will conduct optimization analysis to find ways to optimize the heating units of thermal power plants and their use of resources; S6. Thermal power plant low-carbon mode operation Run low-carbon operation mode to thermal power plants and record data; S7. Operation result analysis and testing Analyze the operating results of low-carbon thermal power plants to determine whether they meet the expected goals; S8. Optimize emission reduction Judging the analysis results, if the optimization is not satisfied, a secondary optimization is carried out on the basis of the initial optimization to further optimize and reduce emissions.

2. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1 is characterized in that: In step S1, the calculation formula for the energy consumption of the heating unit is: When calculating energy consumption, external factors need to be considered, and factors such as water supply pumps, heating network circulating water pumps and heating butterfly valves need to be taken into account in the calculation of energy consumption; When calculating the energy consumption of heating units, it is necessary to calculate according to the electric and thermal load characteristics of different heating units to avoid energy consumption errors; The loss calculation formula is:

3. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1 is characterized in that: In step S2, the specific calculation formula generated is:

4. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1 is characterized in that: In step S3, the calculation formula for carbon emissions is: Carbon emissions are the product of activity level and emission factor; The model is constructed in the form of carbon dioxide emissions, the emission factors are entered into the TED database for use, and the database is connected to the IPCC emission factor library.

5. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1 is characterized in that: In step S4, when optimizing the emission mode, the results of air pollution under different scenarios are referred to, and the emission weather, temperature and humidity are taken into consideration as optimization factors; Treat carbon dioxide before it is emitted, subject it to a carbon conversion process to reduce carbon dioxide emissions, and use the converted carbon dioxide as a combustion raw material; The carbon conversion method uses photocatalysis, which uses ultraviolet radiation to quickly convert carbon dioxide into organic matter; Incorporate carbon conversion data into the factors of secondary modeling, and conduct secondary modeling based on the original model; The model is constructed using the CHPEE modeling method, taking the electrical load and thermal load into account during modeling.

6. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1 is characterized in that: In step S5, the carbon emission model optimization calculation formula after optimizing carbon conversion is: Based on this formula, multiple calculations are performed to obtain low-carbon optimized operating values.

7. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1 is characterized in that: In step S5, when optimizing the use resources of the heating units in the thermal power plant, it is necessary to construct an IEGS economic optimization model, and the model calculation formula is: The use of heating resources needs to take into account the power consumption, and the calculation formula for power consumption is: Based on the formula, the carbon conversion model is optimized.

8. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1 is characterized in that: In the step S6, statistics are collected on the optimized model data and applied to the heating unit; The optimization data of different heating units need to be reallocated to avoid the same optimization data being unable to adapt to multiple heating units.

9. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1, characterized in that: In step S7, when analyzing the operation results, the coal consumption and power generation cost of the unit are recorded and summarized as the total power generation cost, and the calculation formula is: According to the calculation formula, the cost after emission reduction is calculated and analyzed.

10. The method for modeling the carbon conversion process of a heating system and making decisions on low-carbon optimized operation scheduling according to claim 1, characterized in that: In step S10, the analysis result is compared with the expected target to determine whether it satisfies the carbon conversion and low-carbon operation. If not, further optimization is performed until the optimal low-carbon operation mode is obtained.

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