pulpo_methanol_case

◦ Developed with the software and tools below.

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Repository Structure

This repository supports the CCU case study presented in the manuscript "PULPO: A framework for efficient integration of life cycle inventory models into life cycle product optimization" published in the Journal of Industrial Ecology. It is structured as follows:

Code Folder

This folder contains all the necessary notebooks and input data to reproduce the case study. This involves:

• Generating the necessary inputs from premise.
• Installing premise databases.
• Adapting them to the production system of the case study (including CO2 capture, etc.).
• Running the optimization in the base and full abatement cases.
• Assessing burden shifting using other indicators.

Refer to the readme of the folder ("readme_code.md ") for details on each and every file contained in this folder.

Figures Folder

This folder contains all the notebooks used to create the figures of the manuscript, using the outputs generated from the Code Folder in combination with a few additional inputs. Refer to the readme of the folder ("readme_figures.md") for details on each and every file contained in this folder.

Main Folder

The main folder contains the numeric data that underlies every figure in the manuscript. Below is a brief explanation of each file:

Figures 4

• Figure_4_Base.csv
• Figure_4_NDC.csv
• Figure_4_PkBudg500.csv
  • Description: For a given epsilon, these files contain the quantities of methanol produced with PSC, DAC, BAU, and the necessary additional electricity.
  • Columns: Epsilon [-], PSC [Mt], DAC [Mt], BAU [Mt], Electricity [TWh]

Figures 5

• Figure_5_2030.csv
• Figure_5_2040.csv
• Figure_5_2050.csv
  • Description: For the different years (noted by the year in the file title), these files contain the optimal production quantities by technology in each region.
  • Rows: Regions
  • Columns: PSC, DAC, Total CCU meoh production

Figure 6

• Figure_6.csv
  • Description: Contains data for each demand, for each region indicating the employed tech and production values with PSC, DAC, or BAU.
  • Columns: scenario, year, epsilon [%], demand [Mt], region, tech, meoh [Mt], elec [TWh], net-zero GWP [Mt], GWP reduction [Mt]

Figures S1

• Figure_S1.csv
• Figure_S1_constraints.csv
• Figure_S1_optima.csv
  • Description: Hypothetical data for the indication of the objective function values, the constraints, and the two optima (constrained and unconstrained).

Figures S3

• Figure_S3_biosphere.csv
• Figure_S3_outcomes.csv
• Figure_S3_technosphere.csv
  • Description: Data for the bar charts, comparing optimized and non-optimized impacts, technosphere, and biosphere flows.

Figures S7

• Figure_S7_Base.csv
• Figure_S7_NDC.csv
• Figure_S7_PkBudg500.csv
  • Description: Contains the electricity production technologies for each scenario as indicated by the filename.
  • Rows: Years
  • Columns: Electricity production technologies

Figures S8

• Figure_S8_additional_electricity.csv

  • Description: Contains the total electricity values and the corresponding epsilon values for each scenario.
  • Columns: Scenarios
  • Rows: Total electricity values and the corresponding epsilon values

• Figure_S8_electricity_mix.csv

  • Description: Contains the electricity production technologies as a result of the optimization (in TWh) for the full abatement case.
  • Columns: Scenarios
  • Rows: Electricity production technologies

• Figure_S8_meoh_production.csv

  • Description: Contains the methanol production technologies (BAU, PSC, and DAC) for the full abatement case.
  • Columns: Scenarios (Base, NDC, PkBudg500)
  • Rows: Meoh production technologies

Additionally, there is an abbreviations.md file (TBD) which contains all the metadata and abbreviations used within the data and notebooks.

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🤖 Running pulpo_methanol_case

To run the assessments you may create a new conda environment e.g. "pulpo_methanol_case" and install the requirements:

pip install -r requirements.txt

One of the requirements is to have the PULPO package installed (for this version, use v0.0.4 of PULPO).

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📄 License

This project is licensed under the ℹ️ BSD 3-Clause License. See the LICENSE file for additional info. Copyright (c) 2024, Fabian Lechtenberg. All rights reserved.

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👏 Acknowledgments

This publication was created as part of NCCR Catalysis (grant number 180544), a National Centre of Competence in Research funded by the Swiss National Science Foundation. Grant PID2020-116051RB-I00 (CEPI) funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe” is fully acknowledged. Fabian Lechtenberg gratefully acknowledges the “Departament de Recerca i Universitats de la Generalitat de Catalunya” for the financial support of his predoctoral grant FI-2022.

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Authors

• @flechtenberg
• @robyistrate
• @vtulus

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