Results files for Land-free Bioenergy From Circular Agroecology -- A Diverse Option Space and Trade-offs

This is the open data repository to support and reproduce results in the paper "Land-free Bioenergy From Circular Agroecology -- A Diverse Option Space and Trade-offs." There are three types of files here:

1. Ready-to-use final results files of all strategies and scenarios referred to in the paper. They can be downloaded and used directly without running any codes. They all have the same naming format for strategies/scenarios: `Org` = organic share, `ConcRed` = concentrate feeding reduction share, `WasteRed` = waste reduction share, and numbers refer to the share. E.g., `Org0_ConcRed50_WasteRed75` is a strategy with 0% organic share, 50% concentrate feeding reduction, and 75% waste reduction.

`NationalAncillaryBioenergyPotential_EJ.csv`: The national potential of ancillary bioenergy in 2050 from all scenarios. (Units: EJ). Same in both pathways.

`GlobalPotentialEnvironmentalImpacts_NutrientFirst.csv`:  Environmental impacts of all scenarios from the pathway `NutrientFirst.` The first three rows refer to the combination of agroecological practices in places, which allow you to explore environmental impacts grouped by, e.g., different organic shares.

`GlobalPotentialEnvironmentalImpacts_NegFirst.csv`: Same structure as the file above, but from another pathway, `NegativeFirst`.

2. `SOLmOutputs` contains all original output files from our model SOLmV6. 

3. `DataCleaningKit` has the Python codes and additional dataset of heat values to process 2. `SOLmOutputs` and spit 1. (Tip: One should adjust the `input_path` and `output_path` before running `DataCleaning.py.`)

Fei Wu ([e-mail])

Delft, August, 2023