This course explores the application of Python-LMDI, an innovative tool for conducting Logarithmic Mean Divisia Index (LMDI) decomposition analysis. Participants will gain insight into using this open-source Python tool to assess and reduce carbon emissions in the building sector. The course emphasizes the significance of index decomposition in identifying driving forces behind emissions, offering practical guidance for implementing emission reduction strategies. With examples from commercial building data in China and the United States, participants will see real-world applications of Python-LMDI to analyze and interpret carbon emission dynamics.

Key topics include:

• Understanding LMDI theory and its role in carbon emission analysis.
• Implementing Python-LMDI for both additive and multiplicative decomposition.

Designed for sustainability professionals, data analysts, and energy researchers, this course equips learners with the skills to effectively use Python-LMDI for emissions analysis, enhancing decision-making processes for sustainable building operations.