Dataset: Sustainability footprints of a renewable carbon transition for the petrochemical sector within planetary boundaries
Creators
- 1. Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1, 8093 Zürich, Switzerland
- 2. Departamento de Ingeniería Química Industrial y del Medio Ambiente, ETSI Industriales, Universidad Politécnica de Madrid, C/ José Gutiérrez Abascal 2, 28006 Madrid, Spain
- 3. LEPAMAP research group, University of Girona, C/ Maria Aurèlia Capmany 61, 17003 Girona, Spain
Description
Dataset of the article “Sustainability footprints of a renewable carbon transition for the petrochemical sector within planetary boundaries”.
- LCI and cost-related data used for the calculations are included in Input-dataset.zip
- Selected results of the analysis are included in Resulting-dataset.zip
Summary:
The petrochemical industry will play a crucial role in developing low-carbon transition technologies to curb greenhouse gas emissions in the industrial sector. Momentum is building to help reduce the carbon footprint of this hard-to-abate sector, particularly through replacing fossil carbon feedstocks with carbon from biomass, captured CO2, and other recycled resources, but the broader implications of these so-called ‘solutions’ remain unclear. Here, we assess the overall sustainability of such ‘renewable carbon pathways’ by quantifying their life-cycle environmental footprints with respect to the previously defined nine planetary boundaries. We show that although a shift toward renewable carbon pathways could indeed reduce CO2 emissions by 25% to over 100%, the scenario with the lowest carbon footprint could exceed the biodiversity planetary boundary by at least 30%. Our work highlights the potential pitfalls of overlooking global environmental guardrails beyond greenhouse gas emissions reduction and identifies new avenues for quantifying the environmental footprint of decarbonization solutions for hard-to-abate sectors.
Notes
Files
Input-dataset.zip
Files
(612.4 kB)
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