Linganisha mbinu

	Uchambuzi wa Exergy	Uchanganuzi wa Uvunjaji wa LMDI	Uchanganuzi wa Mtiririko wa Nyenzo (MFA)
Nyanja	Uendelevu	Uendelevu	Uendelevu
Familia	Process / pipeline	Regression model	Process / pipeline
Mwaka wa asili	2001	2005	2004
Mwanzilishi	Marc Rosen & Ibrahim Dincer	B. W. Ang	Brunner & Rechberger
Aina	Thermodynamic accounting method	Index-based factor decomposition	Quantitative systems accounting method
Chanzo asilia	Rosen, M. A., & Dincer, I. (2001). Exergy as the confluence of energy, environment and sustainable development. Exergy, An International Journal, 1(1), 3–13.	Ang, B. W. (2005). The LMDI approach to decomposition analysis: a practical guide. Energy Policy, 33(7), 867–871.	Brunner, P. H., & Rechberger, H. (2004). Practical Handbook of Material Flow Analysis. Lewis Publishers. ISBN: 978-1-56670-604-9
Majina mbadala	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	Substance Flow Analysis, Bulk-MFA, Material Flux Analysis, Malzeme Akış Analizi
Zinazohusiana	3	2	3
Muhtasari	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.	Material Flow Analysis (MFA) is a systematic method for quantifying the flows and stocks of materials within a defined system boundary over a specified time period. Introduced comprehensively by Paul H. Brunner and Helmut Rechberger in their 2004 handbook, MFA applies mass-balance principles to track how raw materials, products, wastes, and emissions move through industrial, urban, or national metabolisms, enabling evidence-based resource management and waste policy.