Adding Models to the Glossary - II

[jsvgoncalves]

Goal: Add a pre-existing (either from model candidates or from previous workshop item) model to the glossary.

Key Objectives:

1. Model Selection: Evaluate and select suitable LCI models from the candidate list based on relevance to the glossary's scope, data quality, and technical compatibility.
2. Compatibility Assessment: Determine the technical requirements (e.g., data format, software dependencies, licensing) for integrating each selected model into the glossary pipeline.
3. Integration Strategy: Develop a standardized process for incorporating LCI models, ensuring integration with the existing glossary structure and data schema.
4. Model Validity: Ensure that the model isn't run outside of its boundary conditions and constraints. This should be a first-class concept and users should not have to read the model's metadata, but rather automatically make use of model assumptions, limitations.

Potential Outcomes:

• Second glossary use case: The glossary will be used to store information about a given model and to store information about a model's IO.
• Improved Data Interoperability: Integrating models with consistent data formats and terminology will facilitate data exchange and comparison across different LCA studies.

Candidate Models:

• https://github.com/msmasnadi/OPGEEv4
• https://onlinelibrary.wiley.com/doi/abs/10.1002/pip.3695
• https://github.com/romainsacchi/LCA_WIND_DK/tree/master
• https://github.com/romainsacchi/carculator
• https://pubs.acs.org/doi/10.1021/acs.est.3c03190
• https://www.epa.gov/warm/versions-waste-reduction-model#v16
•  https://www.sciencedirect.com/science/article/abs/pii/S0360132323011046

[tngTUDOR]

The sample Wind turbine model is drafted here