In June and July 2022, I completed basic and intermediate online training course in OpenLCA. The training focused on concepts and applications of Life Cycle Assessment (LCA) using the openLCA software, such as:
- Working with Parameters: Learn how to utilize parameters effectively to enhance data flexibility and facilitate sensitivity analyses. This includes modeling with input parameters, global parameters, and creating dependent parameter structures.
- Sensitivity Analysis: Understand systematic procedures for assessing how changes in methods and data impact study results. Practical exercises involve analyzing how varying assumptions and system boundaries affect LCA outcomes.
- End-of-life Modeling: Explore various approaches to waste modeling, including the “opposite direction” and “material flow logic.” Participants will conceptualize and model end-of-life scenarios for different materials and processes.
- Allocation and System Expansion: Examine methods to allocate inputs/outputs in multi-output processes and understanding system expansion as an alternative approach. The course compares different allocation methods and assesses their implications on environmental impacts.
- Additional Features: Discover the helpful utilities within openLCA, such as developer tools, data quality systems, and various available databases through openLCA Nexus.
- Data Quality Evaluation: Learn to assess and document data quality using the pedigree matrix approach for reliable LCA results.
- Practical Exercises: The training includes several hands-on exercises, allowing participants to apply concepts learned, such as modifying LCIA results based on parameter changes and modeling the environmental effects of technologies in various scenarios.
By the end of the course, I am happy to have gained practical skills in using openLCA for complex LCA studies to help me contribute to comprehensive environmental assessments in the field of Forest Based Industries!
