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Regional carbon emission monitoring method, system and equipment based on intelligent electric meter and medium

A smart meter and carbon emission technology, applied in energy-saving calculation, complex mathematical operation, structured data retrieval, etc., can solve the problems of coarse statistical results, high complexity, visual monitoring, etc., and achieve high regional carbon emission accuracy , the effect of high calculation accuracy

Active Publication Date: 2021-11-30
STATE GRID BEIJING ELECTRIC POWER +1
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  • Application Information

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Problems solved by technology

[0003] In view of the above-mentioned problems of high complexity of offline fund collection statistics, heavy workload, coarse granularity of statistical results and inability to perform visual monitoring according to geographical location of user carbon emissions, the present invention provides a regional carbon emission monitoring method and system based on smart meters , equipment and media

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  • Regional carbon emission monitoring method, system and equipment based on intelligent electric meter and medium
  • Regional carbon emission monitoring method, system and equipment based on intelligent electric meter and medium
  • Regional carbon emission monitoring method, system and equipment based on intelligent electric meter and medium

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Embodiment 1

[0053] A kind of regional carbon emission monitoring method based on smart electric meter of the present invention comprises the following steps:

[0054] A. Regional power consumption collection;

[0055] B. Collection of regional coal, oil and natural gas consumption;

[0056] C. Calculation of regional electricity carbon conversion coefficient;

[0057] D. Analysis and display of regional carbon emission monitoring.

[0058] General formula of the present invention is:

[0059]

[0060] The step A, the collection of regional electricity consumption, specifically includes the following steps:

[0061] A1: The regional power is obtained from the power integral collected by the smart meter, and the power is sampled every 15 minutes and recorded as p i,j , indicating the power of the i-th smart meter in the j-th sampling period, and the corresponding power is q=p i,j ×t, the total cycle power of the ith smart meter is q i,总周期 =∫p i,j dt.

[0062] At present, users who ...

Embodiment 2

[0098] see figure 1 As shown, this embodiment provides a smart meter-based regional carbon emission monitoring method, and the specific steps include the following:

[0099] Step 1: Basic data collection. Basic data collection refers to the acquisition of raw data required for regional carbon emissions monitoring. The raw data includes primary energy consumption data such as coal, oil, and natural gas that rely on external sources and electricity consumption data that can be obtained automatically without relying on external sources.

[0100] Step 2: The total regional carbon dioxide emissions are obtained by summing up the direct carbon dioxide emissions emitted by local energy consumption and the indirect carbon dioxide emissions contained in electricity transfer. Among them, the indirect carbon dioxide emissions are the carbon dioxide emissions of external electricity. See step 9 for details. In step 2, only the direct carbon dioxide emitted by local energy consumption is ...

Embodiment 3

[0115] A regional carbon emission monitoring system based on smart meters, including:

[0116] The regional power consumption acquisition module is used to summarize power consumption data through smart meters and collect regional power consumption;

[0117] Regional coal, oil and natural gas consumption acquisition module, used to collect regional coal, oil and natural gas consumption;

[0118] The regional other energy carbon emission calculation module is used to calculate the carbon dioxide emissions of regional coal, oil and natural gas according to the collected regional coal, oil and natural gas consumption, and obtain the regional carbon dioxide emissions of other energy sources;

[0119] The regional power carbon emission calculation module is used to calculate the regional power carbon dioxide emissions according to the carbon dioxide emissions of local power plants in the region and the indirect carbon dioxide emissions generated by purchased electricity;

[0120] ...

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Abstract

The invention belongs to the field of electric digital data processing, and discloses a regional carbon emission monitoring method, system and device based on an intelligent ammeter, and a medium, and the method comprises the steps: S1, collecting power consumption data through the intelligent ammeter, and collecting regional power consumption; S2, collecting regional coal, petroleum and natural gas consumption; S3, calculating carbon emission of other energy sources in the region; S4, calculating regional power carbon emission according to the direct carbon dioxide emission of the local power plant and the indirect carbon dioxide emission generated by the purchased power; and S5, according to the calculated carbon emission of other energy sources in the region and the calculated carbon emission of electric power in the region, displaying and analyzing on a map in combination with a GIS (Geographic Information System). According to the method, regional energy carbon emission can be automatically counted in real time, coordinate information of each user is carried when the carbon emission is calculated, and the numerical value of the carbon emission is reflected in the GIS map in the modes of dot diagram area, color depth and the like in combination with the coordinate information.

Description

technical field [0001] The invention belongs to the field of electrical digital data processing, and in particular relates to a method, system, equipment and medium for monitoring regional carbon emissions based on smart meters. Background technique [0002] At present, the statistics of regional energy carbon emissions or regional power carbon emissions are collected offline, and the finer the granularity of carbon emissions is, the higher the complexity of the collection and the greater the statistical workload. The granularity of statistical results is coarse and visual monitoring cannot be performed according to the geographical location of users' carbon emissions. Contents of the invention [0003] In view of the above-mentioned problems of high complexity of offline fund collection statistics, heavy workload, coarse granularity of statistical results and inability to perform visual monitoring according to geographical location of user carbon emissions, the present in...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06F17/18G06F16/29
CPCG06Q50/06G06F17/18G06F16/29Y02D10/00Y02P90/84
Inventor 王登政高璐刘兆燕李炳辉陈斌发李臻李晖谢可林凯吕阳赵潇潇代志强
Owner STATE GRID BEIJING ELECTRIC POWER
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