CN-121994994-A - Shale gas transmission station carbon emission monitoring method and monitoring system

CN121994994ACN 121994994 ACN121994994 ACN 121994994ACN-121994994-A

Abstract

The invention provides a method and a system for monitoring carbon emission of a shale gas transmission station, which relate to the technical field of carbon emission monitoring, wherein an area needing carbon emission monitoring is divided into a plurality of areas in advance, the concentration values of carbon emission gases are measured by adopting a corresponding monitoring method for the corresponding areas, and finally, the concentration values of the carbon emission gases of all the areas are subjected to fusion calculation to calculate the total carbon emission amount of the whole area.

Inventors

WANG RONGHUA
ZENG LIAN
ZHANG RUI
WANG XIALING
QIU LIPING
QIAO KANGNI
ZHANG HUI
ZENG XIUQING
SONG XIN
ZHANG LING

Assignees

中国石油天然气集团有限公司
中国石油集团川庆钻探工程有限公司

Dates

Publication Date: 20260508
Application Date: 20241105

Claims (12)

1. A shale gas transmission station carbon emission monitoring method is characterized by comprising the following steps: s1, taking a shale gas transmission station as a carbon emission monitoring area and dividing the shale gas transmission station into a plurality of areas; S2, monitoring concentration values of carbon emission gas in the plurality of areas divided in the step S1 respectively; s3, transmitting the concentration value monitoring data of the carbon emission gas in the step S2 to a carbon emission total accounting module; S4, performing fusion calculation by using the concentration values of the carbon emission gases in the plurality of areas obtained in the steps S2 and S3, and obtaining the total carbon emission amount of the whole carbon emission monitoring area in the monitoring period; S5, carrying out fusion calculation by using the concentration values of the carbon emission gases of the plurality of areas obtained in the steps S2 and S3, and estimating the total carbon emission of the whole carbon emission monitoring area within one year; S6, performing fusion calculation by using the concentration values of the carbon emission gases in the plurality of areas obtained in the steps S2 and S3, and obtaining the total carbon emission amount of the whole carbon emission monitoring area during long-term fixed monitoring; s7, performing fusion calculation by using the concentration values of the carbon emission gases in the plurality of areas obtained in the steps S2 and S3, and obtaining the total carbon emission in different time periods of the whole carbon emission monitoring area; And S8, generating a total carbon emission report, and generating a visual report according to the total carbon emission obtained in the steps S4-S7.
2. The method for monitoring carbon emission of a shale gas transmission station is characterized in that the shale gas transmission station is divided into a grid area and a power generation area, a cradle head type laser methane detector is arranged in the grid area and used for monitoring the concentration value of methane leakage gas, and a carbon dioxide detection sensor is arranged in the power generation area and used for monitoring the concentration value of carbon dioxide emission gas.
3. The method for monitoring carbon emission of shale gas transmission station according to claim 2, wherein the concentration value of methane leakage gas in the grid area is obtained by the following steps: Firstly, adopting simulated grid distribution to determine grid target points, and setting the grid target points into a holder type laser methane detector to form a plurality of methane simulated grids; Secondly, processing unit concentration data measured by each methane gas monitoring position contained in the methane simulation grid by adopting a control variable method and an empirical coefficient method, firstly, controlling the thickness of an air bag and the concentration of methane standard gas unchanged, changing the scanning distances of a cradle head type laser methane detector to be 5m, 10m, 20m, 30m, 40m, 50m and 60m in sequence, obtaining a relation chart of instrument indication value-scanning distance, searching a point closest to a working curve, and researching the influence of the scanning distance on the instrument indication value; Then, the scanning distance of a holder laser methane detector instrument and the concentration of methane standard gas are controlled unchanged, the thickness of an air bag is changed to be 0.04m, 0.06m, 0.1m, 0.15m and 0.2m in sequence, a relation chart of an instrument indication value and the air bag thickness is obtained, a point closest to a working curve is searched, and an effective thickness value is determined, wherein the thickness value is 0.1m; And finally, setting the effective thickness of the methane leakage gas mass to be 0.1m, and carrying the methane leakage gas mass into unit concentration data to obtain the concentration value of the regional carbon emission gas of the methane simulation grid.
4. The method for monitoring carbon emission of shale gas transmission station according to claim 3, wherein the concentration value of the regional methane leakage gas obtained after the shale gas transmission station is processed by adopting a control variable method and an empirical coefficient algorithm satisfies the following formula (14): Y=10×Y i (14); Wherein Y i is a methane unit concentration measurement value of each methane gas monitoring site, and Y is a concentration value of regional methane leakage gas.
5. The method for monitoring carbon emission of a shale gas transmission gas station according to claim 2, wherein the concentration value of carbon dioxide emission gas in the power generation area is obtained by the following steps: Firstly, installing a carbon dioxide detection sensor at a measuring site which is 1m away from a diesel/gasoline engine tail gas emission port, secondly, acquiring real-time concentration values of carbon dioxide gas at the measuring site by using the carbon dioxide detection sensor, and then acquiring the number of the real-time concentration values of the carbon dioxide in different time periods to obtain an average value of the real-time concentration values of the carbon dioxide detected in the working time period of the carbon dioxide detection sensor.
6. The method for monitoring carbon emission of a shale gas transmission station is characterized in that in the step S3, the monitored concentration value of methane leakage gas is finally transmitted to a total carbon emission accounting module through a LoRa wireless communication module, a data acquisition gateway and a 4G transmission module, and the monitored concentration value of carbon dioxide gas is finally transmitted to the total carbon emission accounting module through the LoRa wireless communication module, the data acquisition gateway and the 4G transmission module.
7. The method for monitoring carbon emission of a shale gas transmission gas station according to any one of claims 1 to 6, wherein in the step S4, concentration values of the real-time carbon emission gas at different moments in a period of time are obtained by utilizing the steps S2 and S3, and data are fitted by a correlation curve method by utilizing the concentration values of the real-time carbon emission gas at different moments, so as to construct a binary regression equation, wherein the binary regression equation is shown in the following formulas (1), (2) and (3): N c ＝Z×D×q×T×10 -3 (2); S c ＝P c +N c (3); calculating the total carbon emission amount of the whole carbon emission monitoring region in the monitoring period by using the above formula (1), formula (2) and formula (3); Wherein S c is the total carbon emission amount, P c is the total methane amount, N c is the total carbon dioxide amount, b is the number of rounds of cradle head inspection in an experimental period, g is the density of methane at normal temperature, T i is the time for finishing the ith round of inspection, x i is the sum of all point position alarm concentration values of the ith round, Z is the average value of real-time concentration data of carbon dioxide detected by a carbon dioxide detection sensor in the working period of a diesel/gasoline generator, D is the unit time exhaust amount of the generator, q is the density of carbon dioxide at normal temperature, and T is the running time of the diesel/gasoline generator.
8. The method for monitoring carbon emission of a shale gas transmission gas station according to any one of claims 1 to 6, wherein in the step S5, concentration values of the real-time carbon emission gas at different moments in a period of time are obtained by utilizing the steps S2 and S3, and data are fitted by a correlation curve method by utilizing the concentration values of the real-time carbon emission gas at different moments, so as to construct a binary regression equation, wherein the binary regression equation is shown in the following formulas (4), (5) and (6): N c ＝Z×D×q×T×10 -3 (5); S a ＝P a +N c (6); Estimating the total carbon emission in the whole carbon emission monitoring area for one year by using the formula (4), the formula (5) and the formula (6); Wherein S a is the total carbon emission, P a is the total methane, a is the number of rounds of cradle head inspection in an experimental period, g is the density of methane at normal temperature, x i is the sum of all point concentration alarm values of the ith round, N c is the total carbon dioxide, Z is the average value of real-time concentration data of carbon dioxide detected by a carbon dioxide detection sensor in the working time period of a diesel/gasoline generator, D is the displacement of the generator in unit time, q is the density of carbon dioxide at normal temperature, and T is the running time of the diesel/gasoline generator.
9. The method for monitoring carbon emission of a shale gas transmission gas station according to any one of claims 1 to 6, wherein in the step S6, concentration values of the real-time carbon emission gas at different moments in a period of time are obtained by utilizing the steps S2 and S3, and data are fitted by a correlation curve method by utilizing the real-time carbon emission gas concentration values at different moments to construct a binary regression equation, wherein the binary regression equation is shown in the following formula (7), formula (8), formula (9) and formula (10): N c ＝Z×D×q×T×10 -3 (9); Sa=P f +N c (10); calculating the total carbon emission amount in the long-term fixed monitoring of the whole carbon emission monitoring area by using the formula (7), the formula (8), the formula (9) and the formula (10); Wherein Sa is the total carbon emission, P f is the total methane, D is the number of rounds of inspection in one day, x i is the sum of all point location concentration alarm values of the ith round, m is the methane leakage amount in one day, e is the total number of days of long-term fixed monitoring, mi is the methane leakage amount of the ith day of tripod head inspection, N c is the total carbon dioxide, Z is the average value of real-time concentration data of carbon dioxide detected by a carbon dioxide detection sensor in the working period of a diesel/gasoline generator, D is the displacement of the generator in unit time, q is the density of carbon dioxide at normal temperature, and T is the running time of the diesel/gasoline generator.
10. The method for monitoring carbon emission of a shale gas transmission gas station according to any one of claims 1 to 6, wherein in the step S7, concentration values of the real-time carbon emission gas at different moments in a period of time are obtained by using the step S2 and the step S3, and data are fitted by using a correlation curve method by using the concentration values of the real-time carbon emission gas at different moments, so as to construct a binary regression equation, as shown in the following formulas (11), (12) and (13): N c ＝Z×D×q×T×10 -3 (12); S p ＝P p +N c (13); Wherein S p is the total carbon emission, P p is the total methane, h is the number of rounds of inspection in each period, x i is the sum of all point concentration alarm values in the ith circle, N c is the total carbon dioxide, Z is the average value of real-time concentration data of carbon dioxide detected by a carbon dioxide detection sensor in the working period of a diesel/gasoline generator, D is the displacement of the generator in unit time, q is the density of carbon dioxide at normal temperature, and T is the running time of the diesel/gasoline generator. Using the above-described formulas (11), (12) and (13), the total amount of carbon emissions in different periods of the overall carbon emission monitoring region is calculated.
11. A gas station carbon emission monitoring system based on the shale gas station carbon emission monitoring method as claimed in any one of claims 1-10, characterized by comprising: The grid area monitoring system comprises a cradle head type laser methane detector arranged in a grid area; a power generation zone monitoring system comprising a carbon dioxide detection sensor disposed in a power generation zone; The grid area monitoring system and the power generation area monitoring system are respectively connected to the data acquisition gateway through the LoRa wireless communication module, and the data acquisition gateway transmits the concentration value of methane leakage gas and the concentration value of carbon dioxide gas to the total carbon emission accounting module through the 4G transmission module.
12. The carbon emission monitoring system of the gas station of claim 11, wherein the grid area monitoring system further comprises an integrated mobile cart for fixed support, a mobile power supply for supplying power and an air pump for inflating.

Description

Shale gas transmission station carbon emission monitoring method and monitoring system Technical Field The invention relates to the technical field of carbon emission monitoring, in particular to a shale gas transmission station carbon emission monitoring method and system. Background Greenhouse gases refer to gases in the atmosphere that absorb long wave radiation reflected from the ground and re-emit radiation, such as carbon dioxide (CO 2), nitrous oxide (N 2 O), methane (CH 4), and the like. Their effect is to make the earth's surface warmer, similar to the effect of a greenhouse to trap solar radiation and heat the air in the greenhouse, the effect of this greenhouse gas on making the earth warmer is known as the "greenhouse effect". Industrial parks have been developed for more than several decades, and have become an important carrier for economic and industrial development, and energy and resource consumption in the parks are concentrated, so that the industrial parks are an important source for emission of greenhouse gases and various pollutants. And is therefore necessary for carbon emission monitoring. For example, chinese patent literature, publication number is CN116595062A, publication date is 2023, 8 and 15, the name of the invention is a method for monitoring and early warning carbon emission in a park, the method comprises the steps of collecting background carbon emission of the park and constructing a background carbon emission value database, obtaining an effective background carbon emission value according to the maximum time-frequency starting-up ratio in the background carbon emission value database, obtaining a suspected carbon emission abnormality early warning signal according to the effective background carbon emission value, and judging whether the suspected carbon emission abnormality early warning signal is a carbon emission abnormality early warning signal. However, in the above prior art, when the carbon emission reaches a certain value, a suspected carbon emission abnormal early warning signal is obtained, but the carbon emission for a period of time or all the year can not be monitored, a scheme for reducing the carbon emission can not be made for the carbon emission for a period of time or all the year, and the monitoring of the unorganized carbon emission and the carbon leakage phenomenon of the shale gas transmission station generally adopts manual inspection, sensors and the like to obtain carbon leakage monitoring data, and the current unripe real-time monitoring means provide effective reference data for the management decision-making department. However, the problems of high labor cost, difficult micro-leakage detection and the like in the traditional monitoring method limit some actual requirements of carbon emission monitoring and restrict the working efficiency. Disclosure of Invention In order to solve the defects of the prior art, the invention provides a method and a system for monitoring carbon emission of a shale gas transmission station, which divide a region needing carbon emission monitoring into a plurality of regions in advance, measure the concentration value of carbon emission gas by adopting a corresponding monitoring method for the corresponding region, and finally calculate the concentration value of the carbon emission gas of all the regions in a fusion way, so as to calculate the total carbon emission amount of the whole region. The invention is realized by the following technical scheme: a shale gas transmission station carbon emission monitoring method is characterized by comprising the following steps: s1, taking a shale gas transmission station as a carbon emission monitoring area and dividing the shale gas transmission station into a plurality of areas; S2, monitoring concentration values of carbon emission gas in the plurality of areas divided in the step S1 respectively; s3, transmitting the concentration value monitoring data of the carbon emission gas in the step S2 to a carbon emission total accounting module; S4, performing fusion calculation by using the concentration values of the carbon emission gases in the plurality of areas obtained in the steps S2 and S3, and obtaining the total carbon emission amount of the whole carbon emission monitoring area in the monitoring period; S5, carrying out fusion calculation by using the concentration values of the carbon emission gases of the plurality of areas obtained in the steps S2 and S3, and estimating the total carbon emission of the whole carbon emission monitoring area within one year; S6, performing fusion calculation by using the concentration values of the carbon emission gases in the plurality of areas obtained in the steps S2 and S3, and obtaining the total carbon emission amount of the whole carbon emission monitoring area during long-term fixed monitoring; s7, performing fusion calculation by using the concentration values of the carbon emission gases in the plurality of areas obta