方法对比
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| 㶲能分析× | LMDI分解× | |
|---|---|---|
| 领域 | 可持续性 | 可持续性 |
| 方法族≠ | Process / pipeline | Regression model |
| 起源年份≠ | 2001 | 2005 |
| 提出者≠ | Marc Rosen & Ibrahim Dincer | B. W. Ang |
| 类型≠ | Thermodynamic accounting method | Index-based factor decomposition |
| 开创性文献≠ | Rosen, M. A., & Dincer, I. (2001). Exergy as the confluence of energy, environment and sustainable development. Exergy, An International Journal, 1(1), 3–13. DOI ↗ | Ang, B. W. (2005). The LMDI approach to decomposition analysis: a practical guide. Energy Policy, 33(7), 867–871. DOI ↗ |
| 别名 | Available Work Analysis, Availability Analysis, Second-Law Analysis, Ekserji Analizi | Logarithmic Mean Divisia Index, LMDI-I Additive Decomposition, LMDI-II Multiplicative Decomposition, Logaritmik Ortalama Divisia İndeksi |
| 相关≠ | 3 | 2 |
| 摘要≠ | Exergy analysis is a thermodynamic method that quantifies the maximum useful work obtainable from an energy carrier relative to a reference dead state, revealing where and how irreversibilities destroy quality energy. Formally linked to sustainable development by Marc Rosen and Ibrahim Dincer in 2001, it extends the first-law energy balance with second-law accounting to expose true thermodynamic inefficiencies that conventional energy audits miss. | Log-Mean Divisia Index (LMDI) Decomposition is a quantitative technique for attributing changes in an aggregate indicator — most commonly energy consumption or CO₂ emissions — to its underlying driving factors, such as activity level, structural mix, and intensity. Introduced in its definitive practical form by B. W. Ang in 2005, LMDI builds on Divisia index theory and uses the logarithmic mean as a weighting function to achieve a mathematically perfect, residual-free decomposition. |
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