Find research datasets worth reusing

Data from: "Integrating variability in life cycle assessments of products, cities, and sectors"

<p>In my thesis "Integrating variability in life cycle assessments of products, cities, and sectors", I aimed to integrate sources of variability in the life cycle assessments of products, cities, and sectors. In this data repository, data underlying the findings of Chapters 2 and 5 were published.</p><p>In Chapter 2, the mitigation potential of a new chemical agent used for tire manufacturing was investigated. ZnO nanoparticles anchored on SiO2 NPs (ZnO@SiO2) is a new vulcanization activator currently being developed at the pilot scale to minimize environmental impacts by decreasing the zinc content and rolling resistance of tires. We assessed the environmental impacts of synthesizing and utilizing ZnO@SiO2 on human health, ecosystems, and resource scarcity. Prospective LCA was used to integrate temporal variability and forecast the environmental impacts of the synthesis at the industrial scale. Two industrial predictions were made based on two sets of experimental data available at TRLs 5 and 6. Explorative scenarios were used to estimate the environmental consequences of using the new activator to manufacture tires.&nbsp;</p><p>In this repository, two sets of results were reported: (1) endpoint impacts for TRLs 5, 6, 9a, and 9b, per kg of activator synthesized and (2) endpoint impacts of an average passenger car tire and a tire made with the new activator.</p><p>In Chapter 5, the GHG footprints of economic sectors were assessed. Intermediate producer bear responsibility for emissions embodied in their supply chains. Environmental accounts describing the supply chain emissions of sectors at a local level and with granular sector aggregation are urgently needed to inform relevant policy action to drive climate change mitigation efforts at the regional level in the EU. We aimed to build such a dataset for the European Union (EU) and focused on quantifying the subnational variation of sector GHG supply chain emissions. We used an environmentally extended multi-region input-output (EEMRIO) analysis to examine the GHG footprints of 63 sectors in 264 subnational regions across the EU. This approach inherently integrated the spatial variability of the GHG footprints examined. We used a top-down MRIO database with subnational European information on production, and trade structures, accounting for trade inside and outside Europe. We added a subnational environmental extension for GHG emissions from an air emission database at the NUTS 2 level.&nbsp;</p><p>In this repository, the dataset created for the study was published, including the supply chain emissions reported per sector and region.</p>