Hello,
I am working on an LCA study of maize production systems (rainfed vs irrigated) using openLCA, and I have a dataset of approximately 9,000 individual fields (farms), each with different input data (fertilization, yield, energy use, irrigation, etc.).
I would like to ask for advice on the best approach to handle this type of large dataset in openLCA:
- Is it feasible (or recommended) to create and calculate thousands of individual processes within openLCA?
- Would using the openLCA IPC interface for automation be a suitable approach for this scale?
- Alternatively, is it better practice to use openLCA to obtain background data (e.g., emission factors) and perform the large-scale calculations externally (e.g., Python or R)?
My goal is to ensure a robust and efficient workflow suitable for scientific publication.
Any recommendations or examples of similar use cases would be greatly appreciated.
Thank you very much!
