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Carbon footprint and environmental impact assessment of an 800 kVA epoxy cast dry-type transformer
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Shuangshuang TIAN1, Yingyu WU1, Yunjian WU1, Chao GAO2, Jiahe YU2, Xiaoxing ZHANG1, *
Insulating Materials | 2026, 59(3) : 9 - 18
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Insulating Materials | 2026, 59(3): 9-18
Special Issue on Low-carbon Environmental Protection Advanced Insulation Materials
Carbon footprint and environmental impact assessment of an 800 kVA epoxy cast dry-type transformer
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Shuangshuang TIAN1, Yingyu WU1, Yunjian WU1, Chao GAO2, Jiahe YU2, Xiaoxing ZHANG1, *
Affiliations
  • 1Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China
  • 2CSG Electric Power Research Institute Co., Ltd., Guangzhou 510663, China
Published: 2026-03-20 doi: 10.16790/j.cnki.1009-9239.im.2026.03.002
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The environmental impact of greenhouse gases has garnered widespread global attention, and the low-carbon transformation of power equipment is of great significance for achieving the carbon peaking and carbon neutrality goals. Based on the life cycle assessment (LCA) method, we focused on the raw material acquisition, product manufacturing, and waste disposal stages of an 800 kVA epoxy cast dry-type transformer, and evaluated its carbon footprint and environmental impact from a material perspective. The Monte Carlo simulation method based on the triangular distribution and Sobol sequence was adopted to conduct uncertainty analysis on the carbon footprint results, so as to assess the uncertainty of carbon emissions from key resources. Based on two environmental impact assessment methods CML-IA baseline 2001 and ReCiPe 2016, the environmental impact degree of transformer at each stage was comprehensively evaluated. The results show that the total carbon footprint of the transformer is 8 996.25 kgCO2e, with the raw material acquisition stage contributing the most to the product carbon footprint, reaching 7 186.51 kgCO2e. Copper, silicon steel sheets, and epoxy resin are the main carbon sources, accounting for 42.87%, 31.17%, and 23.93%, respectively. Both sensitivity analysis methods are consistent with the actual situation, but the 95% confidence interval obtained by the Sobol sequence method is significantly wider than the [8 691.92, 9 311.68] kgCO2e of the triangular distribution, demonstrating a more sufficient ability to express uncertainty. The first-order sensitivity indices of the two key resources, epoxy resin and power consumption, calculated by the two methods are 0.460 and 0.499, respectively, indicating that they have the most obvious impact on the carbon footprint of the transformer. The environmental impact assessment results of CML-IA baseline 2001 and ReCipe 2016 show that the raw material acquisition stage dominates all environmental damage categories, with the most significant impact on marine ecotoxicity. The core causes are the heavy metal emissions during the mining and processing of copper and silicon steel sheets, as well as the organic pollutants released during the synthesis of epoxy resin.

life cycle assessment  /  dry-type transformer  /  carbon footprint  /  sensitivity analysis  /  environmental impacts
Shuangshuang TIAN, Yingyu WU, Yunjian WU, Chao GAO, Jiahe YU, Xiaoxing ZHANG. Carbon footprint and environmental impact assessment of an 800 kVA epoxy cast dry-type transformer[J]. Insulating Materials, 2026 , 59 (3) : 9 -18 . DOI: 10.16790/j.cnki.1009-9239.im.2026.03.002
Year 2026 volume 59 Issue 3
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doi: 10.16790/j.cnki.1009-9239.im.2026.03.002
  • Receive Date:2025-07-13
  • Online Date:2026-09-10
  • Published:2026-03-20
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  • Received:2025-07-13
  • Revised:2025-08-25
Affiliations
    1Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China
    2CSG Electric Power Research Institute Co., Ltd., Guangzhou 510663, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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