Urban resident electricity and carbon emission trading method based on credit points

A technology of urban residents and trading methods, which is applied in the field of electricity carbon emission trading of urban residents based on credit points, which can solve the problems of lack of multiple types, fluctuation of electricity carbon trading prices, and restrictions on the enthusiasm of urban residents, and achieve the effect of improving enthusiasm

Pending Publication Date: 2022-06-07
SICHUAN ZHONGDIAN AOSTAR INFORMATION TECHNOLOGIES CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of lack of multi-type electricity carbon transaction price fluctuations in the prior art, which limits the enthusiasm of urban residents to participate in electricity carbon emission reduction, the present invention proposes a credit point-based electricity carbon emission trading method for urban residents. First According to the requirements of electricity carbon supervision, the power supply company calculates the electricity carbon emission cycle quota of urban residents according to the step-by-step electricity consumption, and formulates the electricity carbon emission trading rules; then, urban residents conduct electricity carbon emission trading based on credit rating

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban resident electricity and carbon emission trading method based on credit points
  • Urban resident electricity and carbon emission trading method based on credit points
  • Urban resident electricity and carbon emission trading method based on credit points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] This embodiment proposes an urban residents electricity carbon emission trading method based on reputation points, such as figure 1 shown, including the following steps:

[0083] Step 1: Obtain the electricity consumption data of urban residents, analyze the electricity carbon emission level of urban residents, and obtain the overall electricity carbon emission quota of urban residents corresponding to the electricity carbon emission level of urban residents;

[0084] Step 2: Approve the electricity carbon emission quota for urban residents;

[0085] Step 3: Perform a cluster analysis on the urban residents' electricity carbon emissions, obtain the urban residents' electricity carbon emissions classification, and set the initial urban residents' electricity carbon emissions credit value and urban residents' electricity carbon emissions credit rating;

[0086] Step 4: Establish urban residents' electricity carbon emission credit update rules through blockchain technolog...

Embodiment 2

[0094] In this embodiment, on the basis of the above-mentioned Embodiment 1, the specific operation of step 2 is as follows: the power supply company analyzes the electricity carbon emission level of urban residents, and formulates an overall control quota for the electricity carbon emission of urban residents. Then, the power supply company purchases the overall electricity carbon emission quota of urban residents in the carbon spot trading market, and calculates the basic electricity carbon emission quota of urban residents according to the resident population of the city. Increase the revised value of the electricity carbon emission allowance according to the number of households in the household registration file.

[0095] How it works: Urban per capita carbon emissions is the core indicator to measure the level of urban carbon emissions. In urban per capita carbon emissions, urban residents' electricity carbon emissions account for 65%. Therefore, urban residents' electri...

Embodiment 3

[0107] In this embodiment, based on any one of the above-mentioned Embodiments 1-2, the specific operation of step 3 is: using the density clustering algorithm DBSCAN to obtain the classification of the sensitive layer of urban residents' electric carbon emission, and using the Mahalanobis distance to calculate the density clustering The sample distance between the urban residents' electricity in the class algorithm, and the urban residents' data of urban residents with similar density and connected density are summarized into a cluster, so as to form a classification of urban residents' electricity carbon emissions.

[0108] How it works: The purpose of the electricity carbon emission trading strategy is to make urban residents aware of the limitations of carbon emission resources and reduce electricity carbon emissions as much as possible. Under the electricity carbon emission trading market mechanism, urban residents with different incomes have different degrees of sensitivi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

In order to solve the problem of insufficient excitation of urban resident electricity and carbon emission reduction, the invention provides an urban resident electricity and carbon emission trading method based on reputation points on the basis of step tariff. The method comprises the following steps that: firstly, a power supply company calculates the electricity and carbon emission cycle quota of urban residents according to electricity and carbon supervision requirements and step electric quantity, and formulates an electricity and carbon emission transaction rule; and then, the urban residents carry out power-carbon emission transaction based on the reputation level, a reputation level mode is introduced in the transaction process, multi-type power-carbon emission transaction mechanism price floating is realized according to the reputation level of the urban residents, and the income of the urban residents participating in the power-carbon emission transaction is improved. And formulating an urban resident electricity and carbon emission trading strategy according to the reputation level, exciting the urban residents with high points, and punishing the urban residents on the contrary. Therefore, urban residents are stimulated to participate in carbon emission reduction.

Description

technical field [0001] The invention relates to the technical field of carbon emission, in particular to a method for trading urban residents' electricity carbon emission based on reputation points. Background technique [0002] With the "carbon peak" and "carbon neutral" goals put forward, the pressure of carbon emission reduction is increasing. The traditional carbon emission reduction measures at home and abroad are mainly in the industrial field, but with the gradual improvement of carbon emission reduction measures in this field, the marginal benefit of carbon emission reduction has gradually become prominent. Studies have shown that the rapidly growing electricity demand of Chinese urban residents (City Dweller, CD) has become a key factor in the increase of carbon emissions. According to statistics, China's urban residents' electricity carbon emissions account for about 40% of the country's total carbon emissions. Therefore, tapping the carbon emission reduction pot...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62G06F21/64G06Q30/02G06Q40/04G06Q50/06G06Q50/26
CPCG06F21/64G06Q50/26G06Q50/06G06Q40/04G06Q30/0207G06F18/23Y02P90/84
Inventor 唐冬来张捷李玉胡州明宋卫平郝建维付世峻黄璞刘秋辉杨俏
Owner SICHUAN ZHONGDIAN AOSTAR INFORMATION TECHNOLOGIES CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products