OASES Open Assessment of Swiss Economy and Society
In the short video here above, PhD student external pageAleksandra Kim gives a brief overview of the project (if the video is not available in your region, please use this external pagelink).
This project will quantify the global environmental and social burdens associated with current Swiss production and consumption from a life-cycle perspective. It will substantially improve on the current state of knowledge by adaptively coupling detailed process-specific inventory data from the ecoinvent database with multi-regional industry-sector specific input-output (MRIO) data from the EXIOBASE database. Special attention will be dedicated to the scientifically sound combination of data from different sources, aggregation levels, and physical/economic layers. We will also integrate quantitative social indicators from the Social Hotspots Database into the ecoinvent database. Based on this global, consistent, and comprehensive dataset, we will identify location-dependent hot spots and leverage points for the environmental and social impacts of Swiss production and consumption, and determine areas where improvements carry the smallest economic burdens or even provide economic benefits. We will also consider and quantify resource dependencies, criticalities, and risks of key Swiss industries. During the project, we will create or update inventory data shown to be particularly important, uncertain, or outdated.
Collaboration
OASES is a collaborative project between external pagePaul Scherrer Institut, external pageEmpa, external pageEcoinvent and external pageUniversity of Freiburg. Aleksandra Kim is affiliated to the external pageLaboratory for Energy Systems Analysis (LEA) of PSI and the chair of Ecological Systems Design of ETH.
Global Sensitivity Analysis of Background Life Cycle Inventories
Aleksandra Kim, Christopher L. Mutel, Andreas Froemelt, and Stefanie Hellweg
Environmental Science & Technology, 56, 9, 5874–5885. 2022.
external pagehttps://doi.org/10.1021/acs.est.1c07438
Simplified models for predicting the environmental impacts of geothermal power generation
Andrea Paulillo, Aleksandra Kim, Christopher Mutel, Alberto Striolo, Christian Bauer, Paola Lettieri
Cleaner Environmental Systems, Vol. 6, 100086. 2022.
external pagehttps://doi.org/10.1016/j.cesys.2022.100086
Robust high-dimensional screening
Aleksandra Kim, Christopher Mutel and Andreas Froemelt
Environmental Modelling & Software, Vol. 148, 105270. 2022.
external pagehttps://doi.org/10.1016/j.envsoft.2021.105270
Influential parameters for estimating the environmental impacts of geothermal power: A global sensitivity analysis study.
Andrea Paulillo, Aleksandra Kim, Christopher Mutel, Alberto Striolo, Christian Bauer, Paola Lettieri
Cleaner Environmental Systems, Vol. 3, 100054. 2021.
external pagehttps://doi.org/10.1016/j.cesys.2021.100054
Price Variance in Hybrid-LCA Leads to Significant Uncertainty in Carbon Footprints
Arthur Jakobs, Simon Schulte and Stefan Pauliuk
Frontiers in Sustainability, Vol. 2, 666209. 2021.
external pagehttps://doi.org/10.3389/frsus.2021.666209
Key parameters for predicting the environmental impacts of conventional geothermal technologies
Andrea Paulillo, Aleksandra Kim, Christopher Mutel, Alberto Striolo, Christian Bauer and Paola Lettieri
SETAC Europe 30th annual meeting (online), 3-7 May 2020.
Narrowing Variability by Global Sensitivity Analysis: Case Study of Swiss Household Consumption
Aleksandra Kim, Christopher Mutel, Andreas Froemelt
SETAC North America 41st annual meeting (online), 15-19 November 2020.