Christopher Mutel
Biographic Data
| ID | 6567949 |
|---|---|
| NAME | Christopher Mutel |
| GIVEN NAMES | Christopher |
| FAMILY NAME | Mutel |
| SIGNATURE | MUTEL C |
| AFFILIATIONS | Paul Scherrer Institute |
| ORCID | 0000-0002-7898-9862 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Global sensitivity analysis of correlated uncertainties in life cycle assessment
Recent advances in research have made global sensitivity analysis of very large and highly linear life cycle assessment systems feasible. In this paper, we build on these developments to include sensitivity analysis of correlated parameters and nonlinear models. We augment numerical uncertainty propagation with Monte Carlo simulations (i) to include propagation of uncertainty from uncertain variables in parameterized inventory datasets; (ii) to a…
Life-cycle impacts from different decarbonization pathways for the European car fleet
For light-duty vehicles (LDVs), alternative powertrains and liquid fuels based on renewable electricity are competing options considered by policymakers and stakeholders for achieving necessary CO 2 emission reductions in the transport sector. While the urgency of climate change and the need to reach mitigation targets are well understood, system-wide implications along other sustainability dimensions need further exploration. We integrate a deta…
Coal-exit health and environmental damage reductions outweigh economic impacts
Lc‐impact
Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC-IMPACT method that provides characterization factors at the damage level for 11 impact categ…
When the Background Matters
Prospective life cycle assessment (LCA) needs to deal with the large epistemological uncertainty about the future to support more robust future environmental impact assessments of technologies. This study proposes a novel approach that systematically changes the background processes in a prospective LCA based on scenarios of an integrated assessment model (IAM), the IMAGE model. Consistent worldwide scenarios from IMAGE are evaluated in the life …
Effects of Distribution Choice on the Modeling of Life Cycle Inventory Uncertainty
Life cycle inventory data have multiple sources of uncertainty. These data uncertainties are often modeled using probability density functions, and in the ecoinvent database the lognormal distribution is used by default to model exchange uncertainty values. The aim of this article is to systematically measure the effect of this default distribution by changing from the lognormal to several other distribution functions and examining how this chang…
Spatially explicit assessment of water embodied in European trade
Lifting Industrial Ecology Modeling to a New Level of Quality and Transparency
Industrial ecology (IE) is a maturing scientific discipline. The field is becoming more data and computation intensive, which requires IE researchers to develop scientific software to tackle novel research questions. We review the current state of software programming and use in our field and find challenges regarding transparency, reproducibility, reusability, and ease of collaboration. Our response to that problem is fourfold: First, we propose…
Approaches for Addressing Life Cycle Assessment Data Gaps for Bio-based Products
The Environmental Importance of Energy Use in Chemical Production
Approaches for Addressing Life Cycle Assessment Data Gaps for Bio-based Products
The Environmental Importance of Energy Use in Chemical Production
Lifting Industrial Ecology Modeling to a New Level of Quality and Transparency
Industrial ecology (IE) is a maturing scientific discipline. The field is becoming more data and computation intensive, which requires IE researchers to develop scientific software to tackle novel research questions. We review the current state of software programming and use in our field and find challenges regarding transparency, reproducibility, reusability, and ease of collaboration. Our response to that problem is fourfold: First, we propose…
Spatially explicit assessment of water embodied in European trade
Effects of Distribution Choice on the Modeling of Life Cycle Inventory Uncertainty
Life cycle inventory data have multiple sources of uncertainty. These data uncertainties are often modeled using probability density functions, and in the ecoinvent database the lognormal distribution is used by default to model exchange uncertainty values. The aim of this article is to systematically measure the effect of this default distribution by changing from the lognormal to several other distribution functions and examining how this chang…
Coal-exit health and environmental damage reductions outweigh economic impacts
Lc‐impact
Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC-IMPACT method that provides characterization factors at the damage level for 11 impact categ…
When the Background Matters
Prospective life cycle assessment (LCA) needs to deal with the large epistemological uncertainty about the future to support more robust future environmental impact assessments of technologies. This study proposes a novel approach that systematically changes the background processes in a prospective LCA based on scenarios of an integrated assessment model (IAM), the IMAGE model. Consistent worldwide scenarios from IMAGE are evaluated in the life …
Life-cycle impacts from different decarbonization pathways for the European car fleet
For light-duty vehicles (LDVs), alternative powertrains and liquid fuels based on renewable electricity are competing options considered by policymakers and stakeholders for achieving necessary CO 2 emission reductions in the transport sector. While the urgency of climate change and the need to reach mitigation targets are well understood, system-wide implications along other sustainability dimensions need further exploration. We integrate a deta…
Global sensitivity analysis of correlated uncertainties in life cycle assessment
Recent advances in research have made global sensitivity analysis of very large and highly linear life cycle assessment systems feasible. In this paper, we build on these developments to include sensitivity analysis of correlated parameters and nonlinear models. We augment numerical uncertainty propagation with Monte Carlo simulations (i) to include propagation of uncertainty from uncertain variables in parameterized inventory datasets; (ii) to a…
Economics (8 works) · Environmental Impact and Sustainability (8 works) · Environmental Science (7 works) · Computer Science (6 works) · Business (5 works) · Environmental economics (5 works) · Industrial ecology (5 works) · Sustainability (5 works) · Ecology (4 works) · Engineering (4 works)