Credit rating- and credit score-based carbon emission quota trading model of city dwellers

Introduction: The reduction of electricity-related carbon emissions by city dwellers (CDs) is important for China to achieve low-carbon development and sustainable energy transformation. Due to the lack of incentives for reduction, electricity-related carbon emissions from CDs are increasing year by...

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Main Authors: Donglai Tang, Qiang Li, Jie Zhang, Yongdong Chen, Youbo Liu, Weiping Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1250717/full
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author Donglai Tang
Qiang Li
Jie Zhang
Yongdong Chen
Youbo Liu
Weiping Song
author_facet Donglai Tang
Qiang Li
Jie Zhang
Yongdong Chen
Youbo Liu
Weiping Song
author_sort Donglai Tang
collection DOAJ
description Introduction: The reduction of electricity-related carbon emissions by city dwellers (CDs) is important for China to achieve low-carbon development and sustainable energy transformation. Due to the lack of incentives for reduction, electricity-related carbon emissions from CDs are increasing year by year. To this end, this paper proposes an electricity-related carbon emission quota trading model that integrates a credit rating and credit score system, particularly for motivating CDs to actively participate in carbon emission reduction.Methods: With the history of electricity bill payment data, the density-based spatial clustering of applications with noise (DBSCAN) algorithm is used to cluster CDs, forming different clusters of CDs with different sensitivity levels to carbon emission quota prices. Thereafter, based on the total carbon emission quota and tiered electricity prices from the power company, incentive rules according to the classification result and credit scores of CDs are formulated. Under certain conditions, a leader–follower Stackelberg game between CDs and the power company is built to determine the base price of the carbon emission quota, and thereby, referring to the credit scores of CDs, floating carbon emission quota prices are offered to them in the final settlement.Results: The simulation results for an actual community in a city in China show that the proposed method can considerably reduce the carbon emissions.Discussion: The proposed credit rating and credit score system outperforms the asymmetric Nash negotiation method in terms of promoting carbon emission reduction.
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spelling doaj.art-37a50c5c4f704c1f9c37ce9f8d5cd5072023-08-25T18:23:49ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-08-011110.3389/fenrg.2023.12507171250717Credit rating- and credit score-based carbon emission quota trading model of city dwellersDonglai Tang0Qiang Li1Jie Zhang2Yongdong Chen3Youbo Liu4Weiping Song5Aostar Information Technology Co., Ltd., Chengdu, ChinaState Grid Information and Communication Industry Group Co., Ltd., Beijing, ChinaAostar Information Technology Co., Ltd., Chengdu, ChinaSchool of Electrical Engineering, Sichuan University, Chengdu, ChinaSchool of Electrical Engineering, Sichuan University, Chengdu, ChinaAostar Information Technology Co., Ltd., Chengdu, ChinaIntroduction: The reduction of electricity-related carbon emissions by city dwellers (CDs) is important for China to achieve low-carbon development and sustainable energy transformation. Due to the lack of incentives for reduction, electricity-related carbon emissions from CDs are increasing year by year. To this end, this paper proposes an electricity-related carbon emission quota trading model that integrates a credit rating and credit score system, particularly for motivating CDs to actively participate in carbon emission reduction.Methods: With the history of electricity bill payment data, the density-based spatial clustering of applications with noise (DBSCAN) algorithm is used to cluster CDs, forming different clusters of CDs with different sensitivity levels to carbon emission quota prices. Thereafter, based on the total carbon emission quota and tiered electricity prices from the power company, incentive rules according to the classification result and credit scores of CDs are formulated. Under certain conditions, a leader–follower Stackelberg game between CDs and the power company is built to determine the base price of the carbon emission quota, and thereby, referring to the credit scores of CDs, floating carbon emission quota prices are offered to them in the final settlement.Results: The simulation results for an actual community in a city in China show that the proposed method can considerably reduce the carbon emissions.Discussion: The proposed credit rating and credit score system outperforms the asymmetric Nash negotiation method in terms of promoting carbon emission reduction.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1250717/fullcarbon emissionselectricitycredit scorecity dwellerStackelberg game
spellingShingle Donglai Tang
Qiang Li
Jie Zhang
Yongdong Chen
Youbo Liu
Weiping Song
Credit rating- and credit score-based carbon emission quota trading model of city dwellers
Frontiers in Energy Research
carbon emissions
electricity
credit score
city dweller
Stackelberg game
title Credit rating- and credit score-based carbon emission quota trading model of city dwellers
title_full Credit rating- and credit score-based carbon emission quota trading model of city dwellers
title_fullStr Credit rating- and credit score-based carbon emission quota trading model of city dwellers
title_full_unstemmed Credit rating- and credit score-based carbon emission quota trading model of city dwellers
title_short Credit rating- and credit score-based carbon emission quota trading model of city dwellers
title_sort credit rating and credit score based carbon emission quota trading model of city dwellers
topic carbon emissions
electricity
credit score
city dweller
Stackelberg game
url https://www.frontiersin.org/articles/10.3389/fenrg.2023.1250717/full
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