Analysis of carbon emissions quantification analysis of transforming power engineering construction based on GHGP standard system

Editor’s note

The carbon emissions caused by the power consumption and building materials consumption in the power infrastructure field are one of the important emission sources in the power infrastructure field. Under the “dual carbon” goal, promoting the green low-carbon transformation and upgrading of the power transformation engineering construction field, reducing carbon emissions and environmental impacts of power transformation engineering construction, and realizing low-carbon development is an inevitable choice in the power infrastructure field. At present, domestic and foreign research and development agencies have conducted in-depth research on the quantification of carbon emissions in cement, coal and electricity and parks, and conducted a large number of quantitative analysis and discussions on the characteristics of carbon emissions in construction facilities, providing a foundation for the low-carbon implementation of construction projects.

(Article source WeChat public number: China Power)

The 4th issue of China Power in 2025 published an article “Analysis of Quantitative Carbon Emissions for Construction of Transformation and Change Engineering Based on GHGP Standard Systems” written by Zhang Feng and others. The article combines the characteristics of the construction process of the transformer and power engineering, and constructs a general quantification method and model of carbon emissions for transformer and power engineering, and on this basis, a certain 500 As an example, a quantitative study was conducted on the characteristics of carbon emission distribution in the construction process of the transformation of electricity engineering, optimize the boundaries of carbon emission calculation, clarify the key periods and emission types of carbon emissions in the construction of the transformation of electricity engineering, and conduct a quantitative analysis on the emission reduction potential under different low-carbon optimization situations.

Abstract

Quantitative analysis of carbon emissions in the construction of power-changing engineering is the condition and basis for the implementation of green low-carbon implementation of power-changing engineering. Based on the GHGP standard computing framework and data processing method, we construct multi-level general quantitative model and border optimization model for carbon emissions in the construction of transformer engineering.Taking the construction of a 500 kV power station project as an example, the engineering of various sub-districts of the power station construction of the power station construction, material flow and energy flow activities are carried out to analyze and optimize the carbon emissions of the power station construction of the power station construction of the power station construction. The results show that through this quantitative model, the full standard carbon emission distribution characteristics of the construction of power-changing engineering construction can be obtained. The carbon emissions of construction projects account for 93.02% of the total carbon emissions of construction of power-changing engineering construction. The proportion of carbon emissions of material flows reaches 90.28% of the total emissions of material flows reaches 81% of the carbon emissions of cement and its products and steel materials accounts for 81%. When the carbon emission significant value of the transmission and power generation construction is set to 0.002% to 0.018% of the total emissions, 90% of the unit data flow in the transmission and power generation construction can be eliminated from the calculation boundary. When recyclable concrete and recycled steel are applied in power conversion engineering construction, significant drainage benefits can be generated.

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Research and Discussion Method

This paper builds a quantitative model to conduct quantitative analysis of carbon emissions construction in the GHGP standard “Enterprise Value Linkage Accounting and Reporting Standard” and the “Product Full Life Cycle Accounting and Reporting Standard” and its calculation boundary determination principles, calculation rules for different types of activities, and processing methods for divergent types of data. The process is shown in Figure 1.

Fig.1 Quantification process of carbon emission from power transmission and transformation construction based on GHGP

1.1  The scope of carbon emission sources for construction of power conversion engineering

The carbon emissions in power conversion engineering construction are mainly caused by energy flow activities and cost-consuming material flow activities during power conversion engineering construction. The energy flow is composed of two parts: electric power and fuel (diesel and gasoline). It is mainly generated by the fuel consumption and power consumption of pump machinery, transport machinery and other mechanical teams during the construction of the power conversion engineering. The cost-consuming material flow is mainly composed of various types of cost-consuming data applied in the construction of power-changing engineering. The cost-consuming data types touched by the material flow are more extensive. This article will conduct a quantitative analysis and study on the carbon emissions of the construction of power-changing engineering construction of these material flows and energy flows.

1.2  Construction of carbon emission boundaries for power conversion engineeringSugar babyDetermine method

According to the characteristics of the construction process of the power-changing engineering, the cost-consuming material flow activities and energy flow activities of the power-changing engineering construction and installation projects are sorted from four levels of standards. The unit data flow (fuel and power) single data flow and cost-consuming material flow The unit data flow quantifies the carbon emission characteristics of segment projects, sub-division projects and sub-division projects, and realizes the multi-level full-standard standards for construction and installation projects for transforming electrical engineering and installation projects. href=”https://philippines-sugar.net/”>Sugar daddy‘s quantitative analysis of carbon emissions, clarify the characteristics of carbon emission distribution in power generation and power generation construction, and the boundary structure of carbon emission calculation in power generation construction is shown in Figure 2.

Fig.2 Quantification boundary of carbon emission from power transmission and transformation construction

1.3  The multi-level full-standard carbon emission quantization model for transforming and changing power engineering construction

The carbon emission system model with four levels of standard for transforming and changing power engineering construction and installation projects is shown in Figure 3. Due to the large number of material flows of cost-consuming data and the wide variety of data, this paper conducts a cluster analysis of the single data flow of cost-consuming data based on the properties of cost-consuming data and the performance characteristics. The distribution of cost-consuming data types is shown in Table 1.

Fig.3 Quantification model of carbon emission from power transmission and Transformation construction

Table 1  Distribution of consumable material categories in power transmission and transformation engineering construction

Table 1  Distribution of consumable material categories in power transmission and transformation engineering construction

The carbon emission quantization model for construction of transformer and transformer engineering can be expressed as

Where: FBd sets carbon emissions for construction projects for transformer-electricity projects; Fi builds carbon emissions for construction projects or installation projects for construction projects.

According to Figure 3, the carbon emission quantization mold for construction projects or installation projects can be expressed as