Regional carbon emission monitoring method, system, equipment and medium based on smart meters

A smart meter and carbon emission technology, which is applied to energy-saving calculations, instruments, and data processing applications. It can solve the problems of coarse granularity, high complexity, and heavy workload of statistical results, and achieve high accuracy and calculation of regional carbon emissions. high precision effect

Active Publication Date: 2022-03-22
STATE GRID BEIJING ELECTRIC POWER +1
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  • Claims
  • 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, equipment and medium based on smart meters
  • Regional carbon emission monitoring method, system, equipment and medium based on smart meters
  • Regional carbon emission monitoring method, system, equipment and medium based on smart meters

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Effect test

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, equipment and medium based on a smart meter. The method includes: S1, summarizing power consumption data through a smart meter, and collecting regional power consumption; S2, Collect regional coal, oil and natural gas consumption; S3. Calculate regional carbon emissions from other energy sources; S4. Calculate regional power carbon emissions based on direct carbon dioxide emissions from local power plants and indirect carbon dioxide emissions from purchased electricity; S5. Regional other energy carbon emissions and regional electricity carbon emissions, combined with GIS to display and analyze on the map. The invention can automatically count regional energy carbon emissions in real time, and each user's coordinate information is included in the calculation of carbon emissions, and the value of carbon emissions is reflected in the GIS map through the area size of the point map, the color depth, etc. combined 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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Patent Type & Authority Patents(China)
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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