A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Scenario data for article: Effects of the energy transition on environmental impacts of cobalt supply: A prospective Life Cycle Assessment study on future supply of cobalt
This dataset contains the background data for the paper 'Effects of the energy transition on environmental impacts of the cobalt supply: A prospective Life Cycle Assessment study on the future cobalt supply' as published in the Journal of Industrial Ecology. Please note that an easier to use version of this data for LCA is available through the Premise (Sacchi et al. 2022) Community Scenarios here. This version is slightly adapted to fit into the Premise architecture and is compatible with ecoinvent v3.8 cutoff. This repository contains: Python code + readme to model the variables, generate presamples packages and generate LCA results based on those. (code folder) Input and output data for Variables 1-3 (files 1&2) Presamples excel sheets for each variable/scenario combination (file 3) Summarized LCA results (the full results can be generated through running the code provided) (file 4) Full LCA results used for the contribution analysis (file 5) Underlying data for each of the figures (file 6) We refer to the paper (linked above) for more information on the study. License: The metal supply scenario data is licensed under the CC-BY 4.0 license. Access: Open access [Changelog] 2023-03-23 - 1.3.1: Add link to Premise Community scenario page. 2022-05-18 - 1.3.0: Fix minor error in data files '4 - LCA results' and '6 - Figure data' in demand amounts for total impacts. 2022-04-06 - 1.2.1: Included link to article after publication 2022-03-30 - 1.2.0: Included underlying figure data 2022-01-24 - 1.1.1: Opened repository after paper acceptance 2021-11-26 - 1.1.0: Update of code to comply with peer-review 2021-07-12 - 1.0.0: Set-up of repository
Scenario data for article: Effects of the energy transition on environmental impacts of cobalt supply: A prospective Life Cycle Assessment study on future supply of cobalt
This dataset contains the background data for the paper 'Effects of the energy transition on environmental impacts of the cobalt supply: A prospective Life Cycle Assessment study on the future cobalt supply' as published in the Journal of Industrial Ecology. Please note that an easier to use version of this data for LCA is available through the Premise (Sacchi et al. 2022) Community Scenarios here. This version is slightly adapted to fit into the Premise architecture and is compatible with ecoinvent v3.8 cutoff. This repository contains: Python code + readme to model the variables, generate presamples packages and generate LCA results based on those. (code folder) Input and output data for Variables 1-3 (files 1&2) Presamples excel sheets for each variable/scenario combination (file 3) Summarized LCA results (the full results can be generated through running the code provided) (file 4) Full LCA results used for the contribution analysis (file 5) Underlying data for each of the figures (file 6) We refer to the paper (linked above) for more information on the study. License: The metal supply scenario data is licensed under the CC-BY 4.0 license. Access: Open access [Changelog] 2023-03-23 - 1.3.1: Add link to Premise Community scenario page. 2022-05-18 - 1.3.0: Fix minor error in data files '4 - LCA results' and '6 - Figure data' in demand amounts for total impacts. 2022-04-06 - 1.2.1: Included link to article after publication 2022-03-30 - 1.2.0: Included underlying figure data 2022-01-24 - 1.1.1: Opened repository after paper acceptance 2021-11-26 - 1.1.0: Update of code to comply with peer-review 2021-07-12 - 1.0.0: Set-up of repository
Scenario data for article: Effects of the energy transition on environmental impacts of cobalt supply: A prospective Life Cycle Assessment study on future supply of cobalt
Marc van der Meide (author) / Carina Harpprecht (author) / Stephen Northey (author) / Yongxiang Yang (author) / Bernhard Steubing (author)
2022-05-18
Research Data
Electronic Resource
English
DDC:
690