Intermediate openLCA Online Training
Parameters, allocation, sensitivity, end-of-life. Focus shifts from building models to building them well. Runs back-to-back with Basic.
Intermediate training moves into the more complex aspects of LCA modelling — parameters, allocation, sensitivity, and end-of-life. The focus shifts from building models to building them well, with attention to data quality and methodological choices that affect results.
Basic and Intermediate are designed to run back-to-back in the same week, so you can take both without a gap if you’re starting from scratch.
Course content
- Modelling with parameters
- Sensitivity analysis
- Allocation and system expansion
- End-of-life modelling (basics)
- Data quality in openLCA
- Useful tips and tricks for openLCA
Parameters, allocation, sensitivity, end-of-life. Focus shifts from building models to building them well. Runs back-to-back with Basic.
Intermediate training moves into the more complex aspects of LCA modelling — parameters, allocation, sensitivity, and end-of-life. The focus shifts from building models to building them well, with attention to data quality and methodological choices that affect results.
Basic and Intermediate are designed to run back-to-back in the same week, so you can take both without a gap if you’re starting from scratch.
Course content
- Modelling with parameters
- Sensitivity analysis
- Allocation and system expansion
- End-of-life modelling (basics)
- Data quality in openLCA
- Useful tips and tricks for openLCA
Good to know
Highlights
- 1 day 3 hours
- Online
Refund Policy