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Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

Front. Eng    2024, Vol. 11 Issue (3) : 455-468    https://doi.org/10.1007/s42524-024-4016-8
Energy and Environmental Systems
A novel framework for the carbon reduction performance of power grids: A case study of provincial power grids within the China Central Power Grid
Lei JIANG1, Chen LING1, Qing YANG2(), Pietro BARTOCCI3, Shusong BA4, Shuangquan LIU5
1. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan 430074, China
2. State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
3. RISE Processum AB, SE-89122 Örnsköldsvik, Sweden
4. HSBC Business School, Peking University, Shenzhen 518055, China
5. System Operation Department., Yunnan Power Grid Co., Ltd, Kunming 650011, China
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Abstract

Power grids play a crucial role in connecting electricity suppliers and consumers. They facilitate efficient power transmission and energy management, significantly contributing to the transition toward low-carbon practices across both upstream and downstream sectors. Effectively managing carbon reduction in the power industry is essential for enhancing carbon reduction efficiency and achieving dual-carbon goals. Recent studies have focused on the outcomes of carbon reduction efforts rather than the management process. However, when power grids prioritize the process of carbon reduction in their management, they are more likely to achieve better results. To address this gap, we propose an evaluation model for managing carbon reduction activities in power grids, comprising the carbon management efficiency (CME) module based on the maturity model and the carbon reduction efficiency (CRE) module based on the entropy method. The CME module provides a scorecard corresponding to a detailed and continuous evaluation model for carbon management processes to calculate its performance. Simultaneously, the CRE module relates carbon reduction results to the development direction of the government and power grid, allowing for effective adjustments and updates based on actual situations. The evaluation model was applied to provincial power grids within the China Central Power Grid. The results reveal that despite some fluctuations in carbon reduction performance, provincial power grids within the China Central Power Grid have made continuous progress in carbon reduction efforts. According to the synergy model, there is evidence suggesting that power grids are steadily improving their carbon reduction performance, and a more organized approach would lead to a greater degree of synergy. The evaluation model applies to power grids, and its framework can be extended to other industries, providing a theoretical reference for evaluating their carbon reduction efforts.

Keywords power grid      carbon reduction      evaluation model      maturity model      synergy model     
Corresponding Author(s): Qing YANG   
Just Accepted Date: 23 July 2024   Online First Date: 27 August 2024    Issue Date: 26 September 2024
 Cite this article:   
Lei JIANG,Chen LING,Qing YANG, et al. A novel framework for the carbon reduction performance of power grids: A case study of provincial power grids within the China Central Power Grid[J]. Front. Eng, 2024, 11(3): 455-468.
 URL:  
https://academic.hep.com.cn/fem/EN/10.1007/s42524-024-4016-8
https://academic.hep.com.cn/fem/EN/Y2024/V11/I3/455
Principle Definition
Operability The indicators should be concise and general, concerned or measured by power grids, and the relevant information should be convenient to obtain or make statistics.
Dynamic The indicators should fully consider the dynamic characteristics and reflect the dynamic changes in power grids.
Simplicity The indicators should be appropriate. Complicated indicators will make the evaluation and the analysis of the results difficult.
Applicability The indicators should adapt to power grids as much as possible, meeting corresponding norms and standards. The evaluation model should have a certain universality.
Scientific The evaluation system must be constructed scientifically. The index system should be fully considered in the operation process of power grids.
Systematic The evaluation model is considered as a whole, and the index system is detailed and complete, covering all important aspects of energy management, with rigorous structure and rigorous logic.
Tab.1  Principles of indicator selection
Fig.1  Framework of the CME module.
Dimension Indicator Definition
Carbon Management System (CMS) Carbon Management Effectiveness and Continuous Improvement Development and execution of a comprehensive carbon reduction management system
Administration (A) Leadership and Resource Support Top management’s leadership, commitment, resource allocation, and long-term strategic planning
Policy Alignment and Communication Extent of maintaining a documented carbon management policy
Team Structure and Authority Existence and effectiveness of carbon management team
Strategies (S) Risk Mitigation and Opportunity Identification Organization’s ability to plan and implement risk mitigation measures
Planning and Indicator Management Formal documentation of carbon reduction targets, indicators, and action plans
Carbon Accounting Extent of regular carbon accounting conducted by the organization
Carbon Performance Monitoring and Evaluation Extent of defining scope for carbon performance & emission baseline measurement
Supply-Side Management Mechanisms Adoption and ongoing refinement of supply-side mechanisms
Demand-Side Management Mechanisms Adoption and ongoing refinement of demand-side mechanisms
Power Transmission and Distribution Management Mechanisms and Updates Adoption and ongoing refinement of power transmission and distribution mechanisms
Implementation (I) Resources and Capabilities Adequacy of organizational resources and capabilities for carbon management
Training and Communication Organization’s approach to carbon management policies, training, and communication
Sustainable Energy Procurement Practices Organization’s proactive approach to purchasing low-carbon and clean energy electricity
Carbon-Efficient Power Dispatching Practices Extent of considering carbon emissions and process variables in power dispatching
Transmission Line Loss Management Implementation and effectiveness of loss reduction measures in transmission line
Application and Innovation of Efficient Transmission Technologies Scope of application and adoption of suitable efficient transmission technologies
Application and Innovation of Efficient Transmission Equipment Scope of application of advanced technologies in transmission and transformation
Compliance (C) Monitoring System Comprehensiveness of the monitoring, measurement, and analysis systems
Evalaution System Comprehensiveness of the standardized evaluation system
Internal Audit System Comprehensiveness of the internal audit system
Review System Organization’s approach to reviewing and improving its carbon management system
Optimization (O) Issue Management and Prevention Organization’s ability to identify and eliminate issues in the execution process
Tab.2  Indicators of the CME module
Dimension Indicator Definition Property
Input (IP) Renewable Energy Integration share of renewable energy in the organization’s energy mix +
Electricity Supply Growth rate of growth in electricity supply +
Regional Net Inflow Power Ratio ratio of regional net inflow power to total power supply
Flow (F) Comprehensive Line Loss ratio of the lost electricity to the total supplied electricity
SF6 Recycling Efficiency effectiveness and efficiency of SF6 gas recycling equipment +
Output (OP) Carbon Emission Growth rate of increase in carbon emissions over a specific period
Carbon Emission Intensity amount of carbon emissions per unit of energy or activity
Economic (E) Infrastructure Investment Growth rate of increased infrastructure investment +
Revenue Growth rate and extent of revenue growth over a specific period +
Waste Management Cost Efficiency overall cost of managing and disposing of waste +
Tab.3  Carbon reduction evaluation index system
Dimension Indicator Hubei Hunan Henan Jiangxi
Input (IP) Renewable Energy Integration 0.107 0.090 0.190 0.083
Electricity Supply Growth 0.074 0.124 0.050 0.123
Regional Net Inflow Power Ratio 0.058 0.149 0.070 0.070
Flow (F) Comprehensive Line Loss 0.173 0.085 0.187 0.207
SF6 Recycling Efficiency 0.066 0.085 0.050 0.056
Output (OP) Carbon Emission Growth 0.074 0.068 0.080 0.110
Carbon Emission Intensity 0.123 0.085 0.168 0.045
Economic (E) Infrastructure Investment Growth 0.090 0.071 0.072 0.069
Revenue Growth 0.082 0.172 0.094 0.112
Waste Management Cost Efficiency 0.154 0.071 0.040 0.125
Tab.4  The weight of each indicator in the CRE module
Fig.2  The CMEs of provincial power grids within the China Central Power Grid in 2012, 2016, and 2021: (a) Hubei; (b) Hunan; (c) Henan; (d) Jiangxi.
Fig.3  The CRE results for provincial power grids within the China Central Power Grid from 2012 to 2021: (a) Hubei; (b) Hunan; (c) Henan; (d) Jiangxi.
Fig.4  The comprehensive results of provincial power grids within the China Central Power Grid from 2012 to 2021: (a) Hubei; (b) Hunan; (c) Henan; (d) Jiangxi.
Fig.5  Orderliness degree and synergy degree of the Hubei Power Grid and Henan Power Grid from 2017 to 2021: (a) Hubei; (b) Henan.
List of abbreviations
carbon management efficiency CME
carbon reduction efficiency CRE
carbon management system CMS
administration A
strategies S
implementation I
compliance C
optimization O
input IP
flow F
output OP
economy E
operation degree OD
orderliness degree ORD
synergy degree SYD
  
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