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Research on the Economic Feasibility and Implementation Path of Carbon Reduction Technologies for Near-Zero Carbon Substations

Aug 2026 · Electronics · Vol 15, pp. 3542 · 0 citations · 6 references

Abstract

Addressing global climate change and China’s dual-carbon goals, advancing near-zero-carbon substations is imperative. However, existing studies often isolate carbon accounting, economic evaluation, and market mechanisms, particularly lacking analysis on the economic feasibility of multi-technology combinations. To fill this research gap, the primary objective of this paper is to establish a comprehensive systematic framework that integrates life-cycle emission accounting, life-cycle cost (LCC)–benefit evaluation, and carbon market dynamics. This framework is specifically designed to achieve two interrelated goals: (1) identification of the optimal multi-technology portfolio that balances high abatement rates with economic viability for a typical 110 kV substation; (2) determining the most economically feasible pathway toward life-cycle carbon neutrality under current carbon pricing. Based on life-cycle emission accounting, the operation stage is identified as the primary source. A technology library covering direct/indirect reductions and carbon sinks is built with LCC–benefit models. Four scenarios (S1–S4), following the “source control” to “smart management” logic, are designed to assess abatement rates, unit costs, and comprehensive performance. Introducing the carbon market mechanism, neutrality costs, and break-even points are evaluated. Results show S1 (clean air GIS + envelope optimization) achieves the best performance with a unit cost of 132.6 CNY/tCO2e and a 36.36% reduction rate. As complexity increases, marginal abatement costs rise sharply while economic efficiency declines. Under current carbon prices, the “S1 reduction + allowance purchase” strategy is the most economical path toward life-cycle neutrality. This study provides quantitative support for technology selection and neutrality pathway planning.

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