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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.
This dataset was created as part of NCCR Catalysis, a National Centre of Competence in Research funded by the Swiss National Science Foundation.
carbon capture and utilization, biomass, renewable carbon, petrochemical industry, planetary boundaries, absolute sustainability assessment, green methanol
carbon capture and utilization, biomass, renewable carbon, petrochemical industry, planetary boundaries, absolute sustainability assessment, green methanol
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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