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Christopher L. Mutel

Researcher at Paul Scherrer Institute

Publications -  49
Citations -  3397

Christopher L. Mutel is an academic researcher from Paul Scherrer Institute. The author has contributed to research in topics: Life-cycle assessment & Electricity. The author has an hindex of 25, co-authored 45 publications receiving 2446 citations. Previous affiliations of Christopher L. Mutel include École Polytechnique Fédérale de Lausanne & ETH Zurich.

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Life Cycle Assessment of Power-to-Gas: Approaches, system variations and their environmental implications

TL;DR: In this article, the authors investigated the environmental performance of P2G using Life Cycle Assessment (LCA), and mainly focused on the following three aspects: (1) discussion of differences as consequence of the approach applied for CO2 Capture and Utilization (CCU); (2) evaluation of technology variations including supply of electricity, alternative system processes (electrolysis technologies and CO2 sources), product gases (hydrogen and methane), and comparison of these P 2G systems with conventional technologies, and (3) investigation of further environmental impacts of P 2 G systems with
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Brightway: An open source framework for Life Cycle Assessment

TL;DR: Brightway is an open source framework for Life Cycle Assessment (LCA) calculations in Python that combines a modular structure, the expressiveness and interactivity of Python and in particular Jupyter notebooks, and tuned calculation pathways to allow for new research directions in Life cycle Assessment.
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Land Use in Life Cycle Assessment: Global Characterization Factors Based on Regional and Global Potential Species Extinction

TL;DR: The impacts of land use on biodiversity varied strongly across ecoregions, showing the highest values in regions where most natural habitat had been converted in the past, and how it can be applied to prospective assessments using scenarios of future land use.
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GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? Methodology and Case Study of Electricity Generation

TL;DR: A new methodology for performing regionalized life cycle assessment and systematically choosing the spatial scale of regionalized impact assessment methods is described, and standard matrix-based calculations are extended to include matrices that describe the mapping from inventory to impact assessment spatial supports.