A5044214441- Environmental Impact and Sustainability
- Electric Vehicles and Infrastructure
- Climate Change Policy and Economics
- Economic and Environmental Valuation
- Energy, Environment, and Transportation Policies
- Sustainable Supply Chain Management
- Green IT and Sustainability
- Sustainable Industrial Ecology
- Integrated Energy Systems Optimization
- Vehicle emissions and performance
- Advanced Battery Technologies Research
- Sustainable Building Design and Assessment
- Probabilistic and Robust Engineering Design
- Hybrid Renewable Energy Systems
- Sustainability and Ecological Systems Analysis
- Agriculture Sustainability and Environmental Impact
- Social Acceptance of Renewable Energy
- Advanced Aircraft Design and Technologies
- Mining and Resource Management
- Underground infrastructure and sustainability
- Geothermal Energy Systems and Applications
- Nuclear reactor physics and engineering
- Recycling and Waste Management Techniques
- Tailings Management and Properties
- Building Energy and Comfort Optimization
Paul Scherrer Institute
2015-2023
ETH Zurich
2009-2023
The Geneva Association
2023
Institute of Environmental Engineering
2014
École Polytechnique Fédérale de Lausanne
2011
Prospective Life Cycle Assessment (pLCA) is useful to evaluate the environmental performance of current and emerging technologies in future. Yet, as energy systems industries are rapidly shifting towards cleaner means production, pLCA requires an inventory database that encapsulates expected changes environment at a given point time, following specific socio-techno-economic pathways. To this end, study introduces premise, tool streamline generation prospective databases for by integrating...
Summary Prospective life cycle assessment (LCA) needs to deal with the large epistemological uncertainty about future support more robust environmental impact assessments of technologies. This study proposes a novel approach that systematically changes background processes in prospective LCA based on scenarios an integrated model (IAM), IMAGE model. Consistent worldwide from are evaluated inventory using ecoinvent v3.3. To test approach, only electricity sector was changed internal...
In this analysis, life cycle environmental burdens and total costs of ownership (TCO) current (2017) future (2040) passenger cars with different powertrain configurations are compared. For all vehicle configurations, probability distributions defined for performance parameters. Using these, a Monte Carlo based global sensitivity analysis is performed to determine the input parameters that contribute most overall variability results. To capture systematic effects energy transition,...
The Activity Browser is an open source software for advanced Life Cycle Assessment (LCA). provides a graphical user interface (GUI) to the brightway LCA framework and makes common tasks such as managing projects databases, modeling life cycle inventories, analyzing results easier more intuitive. In addition, it features data analyses thus facilitates state-of-the-art research. It can be extended implement novel approaches needed.
Life cycle impact assessment (LCIA) is a lively field of research, and data models are continuously improved in terms pathways covered, reliability, spatial detail. However, many these advancements scattered throughout the scientific literature, making it difficult for practitioners to apply new models. Here, we present LC-IMPACT method that provides characterization factors at damage level 11 categories related three areas protection (human health, ecosystem quality, natural resources)....
Reducing the climate impacts of passenger cars has a high priority on political agenda, especially in EU. However, there is disagreement how this can best be achieved – with battery or fuel cell electric vehicles, rather combustion engine vehicles using electricity-based synthetic liquid fuels. To answer question and to quantify potential environmental co-benefits trade-offs, paper introduces carculator, Python library conduct life cycle assessments current future vehicles. Because...
Land use is one of the main drivers biodiversity loss. However, many life cycle assessment studies do not yet assess this effect because lack reliable and operational methods. Here, we present an approach to modeling impacts regional land on plants, mammals, birds, amphibians, reptiles. Our global analysis calculates total potential damage caused by all uses within each WWF ecoregion allocates different types per ecoregion. We adapted (matrix-calibrated) species-area relationship model...
We describe a new methodology for performing regionalized life cycle assessment and systematically choosing the spatial scale of impact methods. extend standard matrix-based calculations to include matrices that mapping from inventory supports. Uncertainty in data is modeled using discrete distribution function, which case study derived empirical data. The minimization global autocorrelation used choose optimal demonstrate these techniques on electricity production United States, methods air...
The future environmental impacts of battery electric vehicles (EVs) are very important given their expected dominance in transport systems. Previous studies have shown these to be highly uncertain, though a detailed treatment this uncertainty is still lacking. We help fill gap by using Monte Carlo and global sensitivity analysis quantify parametric also consider two additional factors that not yet been addressed the field. First, we include changes driving patterns due introduction...
The goal of this study was to identify drivers environmental impact and quantify their influence on the performance wooden massive residential office buildings. We performed a life cycle assessment used thermal simulation operational energy demand account for differences in inertia building mass. Twenty-eight input parameters, affecting operation, design, material, exogenic properties were sampled Monte Carlo analysis. To determine sensitivity, we calculated correlation between each...
Abstract Purpose In prospective life cycle assessment (pLCA), inventory models represent a future state of production system and therefore contain assumptions about developments. Scientific quality should be ensured by using foresight methods for handling these during modelling. We present stepwise approach integrating scenario development into modelling pLCA studies. Methods A transdisciplinary research method was used to develop the SIMPL scenario-based pLCA. Our interdisciplinary team LCA...
Life cycle assessment (LCA) studies have shown that site-dependent impact for categories like acidification and eutrophication give more accurate realistic results than site-generic assessments. To date, existing geography-specific, or regionalized, factors not been applied to LCA databases software tools. We describe a simple, generic methodology couple regionalized characterization with large life inventory databases. This approach allows detailed geographic results. Case-study European...
There is an increasing need for life cycle data bio-based products, which becomes particularly evident with the recent drive greenhouse gas reporting and carbon footprinting studies. Meeting this challenging given that many bio-products have not yet been studied by assessment (LCA), those are specific limited to certain geographic regions. In attempt bridge gaps LCA practitioners can use either proxy sets (e.g., existing environmental apples represent pears) or extrapolated derive new pears...
The long-term marginal electricity supply mixes of 40 countries were generated and integrated into version 3.4 the ecoinvent consequential database. total production originating from these accounts for 77% current global generation. goal this article is to provide an overview methodology used calculate evaluate influence key parameters methodological choices on results. are based public energy projections national international authorities reflect accumulated effect changes in demand...
Duckweeds are efficient aquatic plants for wastewater treatment due to their high nutrient uptake capabilities, growth rates, and resilience severe environmental conditions. The starch cellulose contents of duckweed species make them an attractive feedstock biofuels biochemicals. Experimental studies have shown that sequential anaerobic bioprocessing into ethanol, carboxylates, methane, soil amendment in a biorefinery system is technically feasible. This study aims identify challenges...