CN113063898A - Thermal power station carbon emission monitoring method and system based on block chain - Google Patents
Thermal power station carbon emission monitoring method and system based on block chain Download PDFInfo
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- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 259
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 256
- 238000012544 monitoring process Methods 0.000 title claims abstract description 105
- 238000000034 method Methods 0.000 title claims abstract description 62
- 239000000446 fuel Substances 0.000 claims abstract description 90
- 239000005431 greenhouse gas Substances 0.000 claims abstract description 58
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims abstract description 28
- 239000003546 flue gas Substances 0.000 claims abstract description 28
- 239000003245 coal Substances 0.000 claims description 43
- 239000007789 gas Substances 0.000 claims description 12
- 238000005070 sampling Methods 0.000 claims description 12
- 238000000041 tunable diode laser absorption spectroscopy Methods 0.000 claims description 12
- 239000000779 smoke Substances 0.000 claims description 9
- 238000002485 combustion reaction Methods 0.000 claims description 8
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- 238000004566 IR spectroscopy Methods 0.000 claims description 6
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Abstract
The invention discloses a thermal power station carbon emission monitoring method and system based on a block chain, wherein the method comprises the following steps: monitoring the concentration of greenhouse gases contained in the flue gas of each thermal power unit of the thermal power station in real time, and calculating first carbon emission; acquiring the actual consumption of the carbon-containing fuel of the thermal power generating unit in real time, and calculating the second carbon emission of the thermal power generating unit; calculating whether the absolute value of the difference value between the first carbon emission and the second carbon emission is within a preset range, if so, taking the maximum value as the actual carbon emission and uploading the actual carbon emission to a carbon emission monitoring platform, and if the absolute value exceeds the preset range, taking the maximum value as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform, and simultaneously sending an alarm of overlarge carbon emission error; the carbon emission monitoring platform calculates real-time carbon emission of all thermal power generating units of the thermal power station and uploads the real-time carbon emission to the block chain network, and point-to-point transaction of carbon emission quota is achieved among the thermal power stations of all nodes based on the block chain network. The accurate monitoring of the carbon emission of the thermal power station is realized.
Description
Technical Field
The invention relates to the technical field of on-line monitoring of greenhouse gases of thermal power stations, in particular to a thermal power station carbon emission monitoring method and system based on a block chain.
Background
At present, China clearly shows that the carbon dioxide emission of China strives to reach a peak value before 2030 years in the meeting of United nations in 2020, strives to realize carbon neutralization before 2060 years, and various carbon emission related index requirements have been developed all over the country at present.
In this context, on-line monitoring of greenhouse gas emissions and reduced CO2 emissions in flue gas from high energy consuming enterprises, especially thermal power plants, is becoming increasingly important. At present, carbon emission monitoring means of thermal power generating units of thermal power stations are not perfect, most of the carbon emission of the thermal power generating units are not on-line monitoring means at present, and CO2 emission is calculated by a carbon balance method or an emission factor method indirectly through coal consumption in many thermal power plants, so that the carbon emission cannot be used for approving the actual carbon emission of the thermal power plants. In addition, the carbon emission monitoring means of the existing thermal power station has the problems of inaccurate carbon emission monitoring caused by unqualified coal quality, low combustion efficiency of an equipment aging thermal power unit, low thermal efficiency of a steam boiler and the like, so that the actual carbon emission is inconsistent with the monitored carbon emission.
The blockchain in the same time is used as the bottom layer technology of the encrypted currency bitcoin, and has the advantage of data non-falsification, so that the reliability and the transaction efficiency of two transaction systems of the carbon transaction market and the green certificate at present can be greatly improved by combining the blockchain technology with carbon emission monitoring and the carbon transaction market and the green certificate.
Disclosure of Invention
The invention aims to provide a thermal power station carbon emission monitoring method and system based on a block chain, which can be used for accurately monitoring the carbon emission of a thermal power station and accurately monitoring the carbon emission and reliably trading the carbon emission quota based on the block chain technology.
In order to achieve the purpose, the invention provides a thermal power station carbon emission monitoring method based on a block chain, which comprises the following steps:
monitoring the concentration of greenhouse gases contained in the flue gas of each thermal power unit of a thermal power station in real time, and calculating the first carbon emission of the thermal power unit according to the concentration of the greenhouse gases;
acquiring the actual consumption of the carbon-containing fuel of the thermal power generating unit in real time, and calculating the second carbon emission of the thermal power generating unit for generating greenhouse gases according to the actual consumption of the carbon-containing fuel;
calculating whether the absolute value of the difference value between the first carbon emission and the second carbon emission is within a preset range, if so, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to a carbon emission monitoring platform, and if the absolute value exceeds the preset range, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform, and simultaneously sending an alarm of excessive carbon emission error;
the carbon emission monitoring platform calculates real-time carbon emission of all thermal power generating units of the thermal power stations and uploads the real-time carbon emission to a block chain network, wherein each thermal power station serves as a node of the block chain network, and point-to-point transaction of carbon emission quota is achieved among the nodes based on the block chain network.
Optionally, the real-time monitoring of the concentration of the greenhouse gas in the flue gas of each thermal power generating unit of the thermal power station includes:
sampling the smoke discharged by the thermal power generating unit in real time;
and acquiring the concentration of the greenhouse gas in the flue gas by at least one of an infrared spectroscopy method, a gas-sensitive electrode method, a gas filtering monitoring method, a gas chromatography method, a non-dispersive infrared analysis (NDIR) method and a Tunable Diode Laser Absorption Spectroscopy (TDLAS) method.
Optionally, the calculating the second carbon emission amount of the thermal power generating unit for generating the greenhouse gas according to the actual consumption amount of the carbon-containing fuel comprises:
and calculating the second carbon emission amount of the thermal power generating unit for generating greenhouse gases by an emission factor method according to the actual consumption amount of the carbon-containing fuel.
Optionally, the method further comprises:
acquiring the generated energy generated by the thermal power generating unit in real time, and calculating the consumption of first standard coal required for generating the generated energy according to the generated energy;
converting the actual consumption of the carbon-containing fuel into a second standard coal consumption according to the type and the quality of the carbon-containing fuel;
and judging whether the difference value between the second standard coal consumption and the first standard coal consumption is greater than a preset value, and if so, giving an alarm of overlarge fuel consumption.
Optionally, the real-time collecting of the actual consumption amount of the carbon-containing fuel of the thermal power generating unit comprises:
and acquiring the weight of the carbon-containing fuel transmitted to the thermal power generating unit for combustion in real time so as to acquire the actual consumption of the carbon-containing fuel.
The invention also provides a thermal power station carbon emission monitoring system based on the block chain, which comprises the following components:
the system comprises a greenhouse gas concentration monitoring module, a fuel consumption monitoring module, a carbon emission calculating module, a carbon emission calibrating module and a carbon emission monitoring platform;
the greenhouse gas concentration monitoring module is used for monitoring the concentration of greenhouse gas contained in flue gas of each thermal power unit of the thermal power station in real time;
the fuel consumption monitoring module is used for acquiring the actual consumption of the carbon-containing fuel of the thermal power generating unit in real time;
the carbon emission calculation module is used for calculating a first carbon emission of the thermal power generating unit according to the concentration of the greenhouse gas and calculating a second carbon emission of the thermal power generating unit for generating the greenhouse gas according to the actual consumption of the carbon-containing fuel;
the carbon emission calibration module is used for: calculating whether the absolute value of the difference value between the first carbon emission and the second carbon emission is within a preset range, if so, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to a carbon emission monitoring platform, and if the absolute value exceeds the preset range, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform, and simultaneously sending an alarm of excessive carbon emission error;
the carbon emission monitoring platform is used for calculating real-time carbon emission of all thermal power generating units of the thermal power stations and uploading the real-time carbon emission to a block chain network, wherein each thermal power station is used as a node of the block chain network, and point-to-point transaction of carbon emission quota is realized among the nodes based on the block chain network.
Optionally, the greenhouse gas concentration monitoring module comprises online flue gas sampling equipment, and the online flue gas sampling equipment is used for sampling the flue gas discharged by the thermal power generating unit in real time;
the greenhouse gas concentration monitoring module obtains the concentration of the greenhouse gas in the flue gas through at least one of an infrared spectroscopy method, a gas-sensitive electrode method, a gas filtering monitoring method, a gas chromatography method, a non-dispersive infrared analysis (NDIR) method and a Tunable Diode Laser Absorption Spectroscopy (TDLAS) method.
Optionally, the carbon emission amount calculation module calculates the second carbon emission amount of the thermal power generating unit generating greenhouse gases by an emission factor method according to the actual consumption amount of the carbonaceous fuel.
Optionally, the fuel consumption monitoring module is further configured to:
acquiring the generated energy generated by the thermal power generating unit in real time, and calculating the consumption of first standard coal required for generating the generated energy according to the generated energy;
converting the actual consumption of the carbon-containing fuel into a second standard coal consumption according to the type and the quality of the carbon-containing fuel;
and judging whether the difference value between the second standard coal consumption and the first standard coal consumption is greater than a preset value, and if so, giving an alarm of overlarge fuel consumption.
Optionally, the fuel consumption monitoring module obtains the weight of the carbonaceous fuel transmitted to the thermal power generating unit for combustion in real time to obtain the actual consumption of the carbonaceous fuel.
The invention has the beneficial effects that:
1. according to the invention, the carbon emission is accurately monitored by combining two carbon emission calculation modes of the greenhouse gas smoke concentration and the fuel consumption, when the error between the greenhouse gas smoke concentration and the fuel consumption is too large, the problem of one mode is indicated, and the problem detection of related equipment or the quality inspection of fuel products is facilitated by the alarm mode.
2. Based on the characteristic that data cannot be tampered by the block chain, the carbon emission monitoring platform calculates real-time carbon emission of all thermal power generating units of the thermal power station and uploads the real-time carbon emission to the block chain network, accurate monitoring of the carbon emission of the thermal power station is achieved, each thermal power station serves as a node of the block chain network, and the thermal power stations among the nodes can achieve point-to-point transaction of carbon emission quota based on the block chain network.
3. The method comprises the steps of calculating the consumption of first standard coal required by generating power generation through power generation, converting the actual consumption of carbon-containing fuel into the consumption of second standard coal according to the type and quality of the carbon-containing fuel, judging whether the difference value between the consumption of the second standard coal and the consumption of the first standard coal is larger than a preset value, if so, proving that a thermal power generating unit, fuel quality or a steam boiler has problems to cause overlarge actual fuel consumption, and sending an overlarge fuel consumption alarm to facilitate the check of equipment or coal quality.
The apparatus of the present invention has other features and advantages which will be apparent from or are set forth in detail in the accompanying drawings and the following detailed description, which are incorporated herein, and which together serve to explain certain principles of the invention.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts.
Fig. 1 is a step diagram illustrating a method for monitoring carbon emission of a thermal power plant based on a block chain according to an embodiment of the invention.
Fig. 2 shows a functional block diagram of a thermal power plant carbon emission monitoring system based on a block chain according to an embodiment of the invention.
Description of reference numerals:
the system comprises a 1-greenhouse gas concentration monitoring module, a 2-fuel consumption monitoring module, a 3-carbon emission calculating module, a 4-carbon emission calibrating module and a 5-carbon emission monitoring platform.
Detailed Description
The invention will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 is a step diagram illustrating a method for monitoring carbon emission of a thermal power plant based on a block chain according to an embodiment of the invention.
As shown in fig. 1, a method for monitoring carbon emission of a thermal power station based on a block chain includes:
step S101: monitoring the concentration of greenhouse gases contained in the flue gas of each thermal power unit of the thermal power station in real time, and calculating the first carbon emission of the thermal power unit according to the concentration of the greenhouse gases;
specifically, sampling the smoke discharged by the thermal power generating unit in real time; and then, acquiring the concentration of the greenhouse gas in the flue gas by at least one of an infrared spectroscopy method, a gas-sensitive electrode method, a gas filtering monitoring method, a gas chromatography method, a non-dispersive infrared analysis (NDIR) method and a Tunable Diode Laser Absorption Spectroscopy (TDLAS) method. The content of each greenhouse gas was then calculated from the concentrations of CO2 and other greenhouse gases, with carbon emissions in tons.
Step S102: acquiring the actual consumption of the carbon-containing fuel of the thermal power generating unit in real time, and calculating the second carbon emission of the thermal power generating unit for generating greenhouse gases according to the actual consumption of the carbon-containing fuel;
specifically, the second carbon emission amount of the thermal power generating unit generating the greenhouse gas is calculated through the existing emission factor method according to the actual consumption amount of the carbon-containing fuel. The actual consumption of the carbon-containing fuel can be obtained by obtaining the weight of the carbon-containing fuel transmitted to the thermal power generating unit for combustion in real time.
Step S103: calculating whether the absolute value of the difference value between the first carbon emission and the second carbon emission is within a preset range, if so, taking the maximum value of the first carbon emission and the second carbon emission as the actual carbon emission and uploading the actual carbon emission to a carbon emission monitoring platform, and if the absolute value exceeds the preset range, taking the maximum value of the first carbon emission and the second carbon emission as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform, and simultaneously sending an alarm for excessive carbon emission errors;
specifically, the carbon emission is accurately monitored by combining two carbon emission calculation modes of greenhouse gas smoke concentration and fuel consumption, when the error between the greenhouse gas smoke concentration and the fuel consumption is too large, the problem of one mode is indicated, and the problem detection of related equipment or the quality inspection of fuel products is facilitated by an alarm mode. The maximum value of the carbon emission and the carbon emission is taken as the actual carbon emission (the carbon emission calculated according to the flue gas concentration is often lower than the actual carbon emission, and the detection result is lower when the flue gas monitoring equipment fails), so that the maximum value is the carbon emission value calculated by fuel consumption under the general condition, the carbon emission requirement on a thermal power station can be improved, the strict control on the carbon emission is realized, the attention of the thermal power station on the carbon emission can be also promoted, the problems of related equipment (such as the flue gas concentration detection equipment failure, the combustion efficiency of a thermal power unit is low, the thermal efficiency of a steam boiler is low, the sulfur removal efficiency is low) or the problem of poor coal quality and the like are rectified as soon as possible, and the thermal efficiency and the detection accuracy of the equipment are improved.
Step S104: the carbon emission monitoring platform calculates real-time carbon emission of all thermal power generating units of the thermal power station and uploads the real-time carbon emission to the block chain network, wherein each thermal power station serves as a node of the block chain network, and point-to-point transaction of carbon emission quota is achieved among the nodes based on the block chain network.
Specifically, based on the characteristic that data cannot be tampered by the block chain, the carbon emission monitoring platform calculates the sum of real-time carbon emission of all thermal power generating units of the thermal power station and uploads the sum to the block chain network, so that accurate monitoring of the whole carbon emission of the thermal power station is achieved, each thermal power station serves as a node of the block chain network, and the thermal power stations among the nodes can achieve point-to-point transaction of carbon emission quota based on the block chain network.
In this embodiment, the method further includes:
step S105: acquiring the generated energy generated by the thermal power generating unit in real time, and calculating the consumption of first standard coal required for generating the generated energy according to the generated energy;
converting the actual consumption of the carbon-containing fuel into second standard coal consumption according to the type and quality of the carbon-containing fuel;
and judging whether the difference value between the second standard coal consumption and the first standard coal consumption is greater than a preset value, and if so, giving an alarm of overlarge fuel consumption.
Specifically, a first standard coal consumption amount required by generating power generation amount is calculated through power generation amount, the actual consumption amount of the carbon-containing fuel is converted into a second standard coal consumption amount according to the type and quality of the carbon-containing fuel, whether the difference value between the second standard coal consumption amount and the first standard coal consumption amount is larger than a preset value or not is judged, if yes, it is proved that a thermal power unit, fuel quality or a steam boiler has problems, the actual fuel consumption is too large, and equipment failure or coal quality can be checked conveniently by giving an alarm of too large fuel consumption.
Fig. 2 shows a functional block diagram of a thermal power plant carbon emission monitoring system based on a block chain according to an embodiment of the invention.
As shown in fig. 2, a thermal power plant carbon emission monitoring system based on a block chain includes:
the system comprises a greenhouse gas concentration monitoring module 1, a fuel consumption monitoring module 2, a carbon emission calculating module 3, a carbon emission calibrating module 4 and a carbon emission monitoring platform 5;
the greenhouse gas concentration monitoring module 1 is used for monitoring the concentration of greenhouse gas contained in flue gas of each thermal power generating unit of the thermal power station in real time;
the fuel consumption monitoring module 2 is used for acquiring the actual consumption of the carbon-containing fuel of the thermal power generating unit in real time;
the carbon emission calculating module 3 is used for calculating a first carbon emission of the thermal power generating unit according to the concentration of the greenhouse gas, and calculating a second carbon emission of the thermal power generating unit for generating the greenhouse gas according to the actual consumption of the carbon-containing fuel;
the carbon emission calibration module 4 is used for: calculating whether the absolute value of the difference value between the first carbon emission and the second carbon emission is within a preset range, if so, taking the maximum value of the first carbon emission and the second carbon emission as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform 5, and if the absolute value exceeds the preset range, taking the maximum value of the first carbon emission and the second carbon emission as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform 5, and simultaneously sending an alarm of excessive carbon emission error;
the carbon emission monitoring platform 5 is used for calculating real-time carbon emission of all thermal power generating units of the thermal power station and uploading the real-time carbon emission to the block chain network, wherein each thermal power station serves as a node of the block chain network, and point-to-point transaction of carbon emission quota is achieved among the nodes based on the block chain network.
In the embodiment, the greenhouse gas concentration monitoring module 1 comprises online flue gas sampling equipment, wherein the online flue gas sampling equipment is used for sampling flue gas discharged by the thermal power generating unit in real time;
the greenhouse gas concentration monitoring module 1 obtains the concentration of the greenhouse gas in the flue gas by at least one of an infrared spectroscopy method, a gas-sensitive electrode method, a gas filtering monitoring method, a gas chromatography method, a non-dispersive infrared analysis (NDIR) method and a Tunable Diode Laser Absorption Spectroscopy (TDLAS) method.
In this embodiment, the carbon emission amount calculation module 3 calculates the second carbon emission amount of the thermal power generating unit, which generates greenhouse gases, by an emission factor method according to the actual consumption amount of the carbonaceous fuel.
In this embodiment, the fuel consumption monitoring module 2 is further configured to:
acquiring the generated energy generated by the thermal power generating unit in real time, and calculating the consumption of first standard coal required for generating the generated energy according to the generated energy;
converting the actual consumption of the carbon-containing fuel into second standard coal consumption according to the type and quality of the carbon-containing fuel;
and judging whether the difference value between the second standard coal consumption and the first standard coal consumption is greater than a preset value, and if so, giving an alarm of overlarge fuel consumption.
In this embodiment, the fuel consumption monitoring module 2 obtains the weight of the carbonaceous fuel transmitted to the thermal power generating unit for combustion in real time, so as to obtain the actual consumption of the carbonaceous fuel.
In conclusion, the carbon emission is monitored by combining two calculation modes of the greenhouse gas smoke concentration and the fuel consumption, when the error between the greenhouse gas smoke concentration and the fuel consumption is overlarge, the problem of one mode is indicated, and the problem detection of related equipment or the quality detection of fuel products is facilitated by the alarm mode; meanwhile, accurate monitoring of carbon emission of the thermal power station is achieved by utilizing the characteristic that data cannot be tampered by a block chain, point-to-point transaction of carbon emission quota of the thermal power station among nodes can be achieved, standard coal consumption required by generating power generation is calculated according to the power generation amount, actual consumption of carbon-containing fuel is converted into standard coal consumption according to the type and quality of the carbon-containing fuel, whether a thermal power unit, fuel quality or a steam boiler has problems or not can be judged and proved by judging the difference value of the standard coal consumption and the standard coal consumption, and if the standard coal consumption is judged, an excessive fuel consumption alarm is given, so that equipment failure or coal quality can be checked conveniently.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
Claims (10)
1. A thermal power station carbon emission monitoring method based on a block chain is characterized by comprising the following steps:
monitoring the concentration of greenhouse gases contained in the flue gas of each thermal power unit of a thermal power station in real time, and calculating the first carbon emission of the thermal power unit according to the concentration of the greenhouse gases;
acquiring the actual consumption of the carbon-containing fuel of the thermal power generating unit in real time, and calculating the second carbon emission of the thermal power generating unit for generating greenhouse gases according to the actual consumption of the carbon-containing fuel;
calculating whether the absolute value of the difference value between the first carbon emission and the second carbon emission is within a preset range, if so, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to a carbon emission monitoring platform, and if the absolute value exceeds the preset range, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform, and simultaneously sending an alarm of excessive carbon emission error;
the carbon emission monitoring platform calculates real-time carbon emission of all thermal power generating units of the thermal power stations and uploads the real-time carbon emission to a block chain network, wherein each thermal power station serves as a node of the block chain network, and point-to-point transaction of carbon emission quota is achieved among the nodes based on the block chain network.
2. The thermal power station carbon emission monitoring method based on the block chain according to claim 1, wherein the step of monitoring the concentration of the greenhouse gas in the flue gas of each thermal power unit of the thermal power station in real time comprises the following steps:
sampling the smoke discharged by the thermal power generating unit in real time;
and acquiring the concentration of the greenhouse gas in the flue gas by at least one of an infrared spectroscopy method, a gas-sensitive electrode method, a gas filtering monitoring method, a gas chromatography method, a non-dispersive infrared analysis (NDIR) method and a Tunable Diode Laser Absorption Spectroscopy (TDLAS) method.
3. The method for monitoring carbon emission of a thermal power plant based on a block chain according to claim 1, wherein the calculating the second carbon emission amount of the thermal power plant generating greenhouse gases according to the actual consumption amount of the carbonaceous fuel comprises:
and calculating the second carbon emission amount of the thermal power generating unit for generating greenhouse gases by an emission factor method according to the actual consumption amount of the carbon-containing fuel.
4. The block chain-based thermal power plant carbon emission monitoring method according to claim 3, further comprising:
acquiring the generated energy generated by the thermal power generating unit in real time, and calculating the consumption of first standard coal required for generating the generated energy according to the generated energy;
converting the actual consumption of the carbon-containing fuel into a second standard coal consumption according to the type and the quality of the carbon-containing fuel;
and judging whether the difference value between the second standard coal consumption and the first standard coal consumption is greater than a preset value, and if so, giving an alarm of overlarge fuel consumption.
5. The block chain-based thermal power station carbon emission monitoring method according to claim 1, wherein the acquiring of the actual consumption amount of the carbonaceous fuel of the thermal power unit in real time comprises:
and acquiring the weight of the carbon-containing fuel transmitted to the thermal power generating unit for combustion in real time so as to acquire the actual consumption of the carbon-containing fuel.
6. The utility model provides a thermal power station carbon emission monitoring system based on block chain which characterized in that includes:
the system comprises a greenhouse gas concentration monitoring module, a fuel consumption monitoring module, a carbon emission calculating module, a carbon emission calibrating module and a carbon emission monitoring platform;
the greenhouse gas concentration monitoring module is used for monitoring the concentration of greenhouse gas contained in flue gas of each thermal power unit of the thermal power station in real time;
the fuel consumption monitoring module is used for acquiring the actual consumption of the carbon-containing fuel of the thermal power generating unit in real time;
the carbon emission calculation module is used for calculating a first carbon emission of the thermal power generating unit according to the concentration of the greenhouse gas and calculating a second carbon emission of the thermal power generating unit for generating the greenhouse gas according to the actual consumption of the carbon-containing fuel;
the carbon emission calibration module is used for: calculating whether the absolute value of the difference value between the first carbon emission and the second carbon emission is within a preset range, if so, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to a carbon emission monitoring platform, and if the absolute value exceeds the preset range, taking the maximum value of the first carbon emission and the second emission as the actual carbon emission and uploading the actual carbon emission to the carbon emission monitoring platform, and simultaneously sending an alarm of excessive carbon emission error;
the carbon emission monitoring platform is used for calculating real-time carbon emission of all thermal power generating units of the thermal power stations and uploading the real-time carbon emission to a block chain network, wherein each thermal power station is used as a node of the block chain network, and point-to-point transaction of carbon emission quota is realized among the nodes based on the block chain network.
7. The thermal power plant carbon emission monitoring system based on the block chain as claimed in claim 6, wherein the greenhouse gas concentration monitoring module comprises a flue gas online sampling device, and the flue gas online sampling device is used for sampling the flue gas emitted by the thermal power plant in real time;
the greenhouse gas concentration monitoring module obtains the concentration of the greenhouse gas in the flue gas through at least one of an infrared spectroscopy method, a gas-sensitive electrode method, a gas filtering monitoring method, a gas chromatography method, a non-dispersive infrared analysis (NDIR) method and a Tunable Diode Laser Absorption Spectroscopy (TDLAS) method.
8. The block chain-based thermal power plant carbon emission monitoring system according to claim 6, wherein the carbon emission amount calculating module calculates the second carbon emission amount of the thermal power generating unit generating greenhouse gases by an emission factor method according to the actual consumption amount of the carbonaceous fuel.
9. The block chain-based thermal power plant carbon emission monitoring system of claim 8, wherein the fuel consumption monitoring module is further configured to:
acquiring the generated energy generated by the thermal power generating unit in real time, and calculating the consumption of first standard coal required for generating the generated energy according to the generated energy;
converting the actual consumption of the carbon-containing fuel into a second standard coal consumption according to the type and the quality of the carbon-containing fuel;
and judging whether the difference value between the second standard coal consumption and the first standard coal consumption is greater than a preset value, and if so, giving an alarm of overlarge fuel consumption.
10. The block chain-based thermal power station carbon emission monitoring system according to claim 6, wherein the fuel consumption monitoring module obtains the weight of the carbonaceous fuel transmitted to the thermal power unit for combustion in real time to obtain the actual consumption of the carbonaceous fuel.
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