方法对比

	㶲能分析	生命周期评价（LCA）	LMDI分解
领域	可持续性	可持续性	可持续性
方法族	Process / pipeline	Process / pipeline	Regression model
起源年份	2001	2009	2005
提出者	Marc Rosen & Ibrahim Dincer	ISO 14040 framework; Finnveden et al.	B. W. Ang
类型	Thermodynamic accounting method	Environmental impact accounting pipeline	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.	Finnveden, G., et al. (2009). Recent developments in life cycle assessment. Journal of Environmental Management, 91(1), 1–21.	Ang, B. W. (2005). The LMDI approach to decomposition analysis: a practical guide. Energy Policy, 33(7), 867–871.
别名	Available Work Analysis, Availability Analysis, Second-Law Analysis, Ekserji Analizi	Life Cycle Analysis, Cradle-to-Grave Analysis, Ecobalance, Yaşam Döngüsü Değerlendirmesi	Logarithmic Mean Divisia Index, LMDI-I Additive Decomposition, LMDI-II Multiplicative Decomposition, Logaritmik Ortalama Divisia İndeksi
相关	3	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.	Life Cycle Assessment is a systematic, ISO-standardized methodology for quantifying the environmental impacts of a product, process, or service across its entire life span — from raw material extraction through production, use, and end-of-life disposal. Codified in ISO 14040 and ISO 14044, and comprehensively reviewed by Finnveden et al. (2009), LCA enables decision-makers to compare alternatives, identify environmental hotspots, and support eco-design, with applications spanning products, buildings, energy systems, and public policy.	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.