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    煤电行业减污降碳协同评估方法研究进展

    Advances in synergistic assessment methods for pollution reduction and carbon mitigation in coal-fired power industry

    • 摘要: 煤电行业作为我国能源供应的支柱产业,面临减污与降碳的双重压力,协同效应评估是实现绿色转型的重点。然而,煤电行业的污染物与碳排放存在显著的时空异质性,且减污与降碳措施间存在复杂的协同效应。尽管单一目标评估方法在煤电行业中取得显著成效,但由于评估目标的割裂性,减污和降碳作为独立目标,忽视了二者之间的复杂关系,其固有局限性日益凸显,亟需发展能够统筹多目标的协同评估方法。系统梳理了适用于煤电行业的减污降碳协同效应评估方法体系,重点比较了协同评估的3类主流方法自上而下方法从全局角度评估减污降碳的协同效应,但对技术细节刻画不足,适用于宏观层面的政策制定和长期战略规划;自下而上方法可精确刻画技术细节,适用于技术改造路径优化和减排潜力评估,但在反映政策互动方面存在局限;混合方法结合两者优势,能够整合宏观政策模拟与微观技术分析,但模型复杂度高。结合不同的研究主体和应用场景,煤电行业减污降碳协同评估方法的选择应更具针对性。最后,提出了未来发展方向,在加强关键技术路径评估、加强多目标动态优化、完善数据监测与计量体系、深化区域差异化评估以及加强跨学科研究等多个方面持续探索,为煤电行业减污降碳协同评估研究方法与体系的构建提供理论基础。

       

      Abstract: As a pillar industry of China’s energy supply, the coal-fired power sector faces dual pressures of pollution reduction and carbon mitigation, making the assessment of synergistic effects key to achieving a green transition. However, significant spatiotemporal heterogeneity exists in pollutant and carbon emissions from the coal-fired power industry, and complex synergistic effects are present between pollution reduction and carbon mitigation measures. Although single-target assessment methods have achieved remarkable success in the coal-fired power sector, their inherent limitations are becoming increasingly apparent due to the fragmented nature of assessment objectives. Treating pollution reduction and carbon mitigation as independent goals overlooks the complex interrelationships between them, highlighting the urgent need to develop integrated multi-objective synergistic assessment methods. This review systematically outlines a methodological framework for assessing the synergistic effects of pollution reduction evaluate synergistic effects from a macro perspective but lack detailed technological insights, making them suitable for macro-level policy formulation and long-term strategic planning. Bottom-up methods offer precise depictions of technological details and are applicable to technological pathway optimization and emission reduction potential assessment but have limitations in reflecting policy interactions. Hybrid methods combine the strengths of both approaches, integrating macro policy simulation with micro-level technological analysis, though they involve higher model complexity. The selection of synergistic assessment methods for the coal-fired power industry should be more targeted, depending on the research subject and application scenario. Finally, future development directions are proposed, including strengthening the assessment of key technological pathways, enhancing multi-objective dynamic optimization, improving data monitoring and measurement systems, deepening region-specific differentiated assessments, and promoting interdisciplinary research. These efforts aim to provide a theoretical foundation for constructing research methods and systems for synergistic pollution reduction and carbon mitigation assessment in the coal-fired power industry.

       

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