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Objective <p>This study aims to improve carbon emission accounting accuracy and provide optimized emission factors for ultra-low emission coal-fired power plants by detailed carbon emission accounting and carbon balance analysis based on the Life Cycle Assessment (LCA) method.</p> Methods <p>Emissions were calculated via coal combustion activity and LCA respectively, with carbon balance tracking and correlation analysis of influencing factors (coal consumption, efficiency).</p> Results <p>Weekly emissions peaked midweek, LCA reduced estimates by 0.19 MtCO<sub>2</sub>, coal contributed 95.4% of carbon inputs, and strong correlations (r = 0.98–0.99) supported emission factors (1.52 tCO<sub>2</sub>/t coal, 0.75 tCO<sub>2</sub>/MWh generation).</p> Conclusion <p>Optimized emission factors enable efficient accounting, while prioritizing high-calorific coal and unit efficiency upgrades reduces emissions, with LCA offering a more holistic assessment for sustainable management.</p> Graphical Abstract <p></p>

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Research on Carbon Emission Characteristics of a Typical Ultra-Low Emission Coal-Fired Power Plant

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月16日

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  • Xinrong Yan,
  • Yang Zhang,
  • Yonglong Yang,
  • Jianping Jiang,
  • Zhen Du,
  • Dong Guo,
  • Qiaoli Wang,
  • Weihong Wu,
  • Xiang Gao

摘要

Objective

This study aims to improve carbon emission accounting accuracy and provide optimized emission factors for ultra-low emission coal-fired power plants by detailed carbon emission accounting and carbon balance analysis based on the Life Cycle Assessment (LCA) method.

Methods

Emissions were calculated via coal combustion activity and LCA respectively, with carbon balance tracking and correlation analysis of influencing factors (coal consumption, efficiency).

Results

Weekly emissions peaked midweek, LCA reduced estimates by 0.19 MtCO2, coal contributed 95.4% of carbon inputs, and strong correlations (r = 0.98–0.99) supported emission factors (1.52 tCO2/t coal, 0.75 tCO2/MWh generation).

Conclusion

Optimized emission factors enable efficient accounting, while prioritizing high-calorific coal and unit efficiency upgrades reduces emissions, with LCA offering a more holistic assessment for sustainable management.

Graphical Abstract