Hybrid-LCA-based carbon emissions of 750 kV substation in arid sandy land: a case study of Qinchuan substation in Northwest China

Substation construction in arid sandy areas involves intensive consumption of carbon-intensive materials, contributing to significant carbon emissions and environmental pressures. Taking the Qinchuan 750 kV substation in Northwest China's arid sandy region as a case study, this study employs a Process-Input-Output (Process-IO) Hybrid Life Cycle Assessment (Hybrid-LCA) model to quantify the whole life cycle carbon emissions of the substation. It further uses Monte Carlo simulation to analyze uncertainties in the life cycle carbon emission assessment and proposes targeted carbon neutrality pathways based on deterministic emission analysis results. The findings reveal that: (1) Indirect carbon emissions during the operational use (OU) stage account for 90.93% of total life cycle emissions, followed by the material production (MP) stage at 8.22%. (2) Monte Carlo simulation (10,000 iterations via MATLAB R2024a) for the average life cycle yields a 90% confidence interval of (9,675, 11,775) kg. (3) Specific carbon neutrality pathways are proposed: extending the substation's lifespan by 90% to reduce emissions by 4.8×10 6 kg; promoting low-carbon materials ( e.g. , timber substitution reduces emissions by 3.4×10 6 kg); increasing grid renewable energy to 30% by 2035 to cut operational emissions by 18.5%; and deploying photovoltaic technology to achieve annual carbon reduction of 49,400 kg, contributing to carbon neutrality.

Authors

Institutions

Publication Details

Journal
Research in Cold and Arid Regions
Published
2025-09-01
DOI
https://doi.org/10.1016/j.rcar.2025.08.003
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid-LCA-based carbon emissions of 750 kV substation in arid sandy land: a case study of Qinchuan substation in Northwest China

Jingjing Yang, Zhong Ma, Ting Mao, Weijing Ma et al.
Research in Cold and Arid Regions
Environmental Impact and Sustainability
article

Hybrid-LCA-based carbon emissions of 750 kV substation in arid sandy land: a case study of Qinchuan substation in Northwest China

Jingjing Yang, Zhong Ma, Ting Mao, Weijing Ma, Ting Wang
article en

Abstract

Substation construction in arid sandy areas involves intensive consumption of carbon-intensive materials, contributing to significant carbon emissions and environmental pressures. Taking the Qinchuan 750 kV substation in Northwest China's arid sandy region as a case study, this study employs a Process-Input-Output (Process-IO) Hybrid Life Cycle Assessment (Hybrid-LCA) model to quantify the whole life cycle carbon emissions of the substation. It further uses Monte Carlo simulation to analyze uncertainties in the life cycle carbon emission assessment and proposes targeted carbon neutrality pathways based on deterministic emission analysis results. The findings reveal that: (1) Indirect carbon emissions during the operational use (OU) stage account for 90.93% of total life cycle emissions, followed by the material production (MP) stage at 8.22%. (2) Monte Carlo simulation (10,000 iterations via MATLAB R2024a) for the average life cycle yields a 90% confidence interval of (9,675, 11,775) kg. (3) Specific carbon neutrality pathways are proposed: extending the substation's lifespan by 90% to reduce emissions by 4.8×10 6 kg; promoting low-carbon materials ( e.g. , timber substitution reduces emissions by 3.4×10 6 kg); increasing grid renewable energy to 30% by 2035 to cut operational emissions by 18.5%; and deploying photovoltaic technology to achieve annual carbon reduction of 49,400 kg, contributing to carbon neutrality.

Research in Cold and Arid Regions
Northwest Normal University (CN), Lanzhou University (CN)
Lanzhou University, National Natural Science Foundation of China, Natural Science Foundation of Gansu Province
Openalex Percentile: Top 78%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.