Rolf Widmer

Contribution of Li-Ion Batteries to the Environmental Impact of Electric Vehicles

Battery-powered electric cars (BEVs) play a key role in future mobility scenarios. However, little is known about the environmental impacts of the production, use and disposal of the lithium ion (Li-ion) battery. This makes it difficult to compare the environmental impacts of BEVs with those of internal combustion engine cars (ICEVs). Consequently, a detailed lifecycle inventory of a Li-ion battery and a rough LCA of BEV based mobility were compiled. The study shows that the environmental burdens of mobility are dominated by the operation phase regardless of whether a gasoline-fueled ICEV or a European electricity fueled BEV is used. The share of the total environmental impact of E-mobility caused by the battery (measured in Ecoindicator 99 points) is 15%. The impact caused by the extraction of lithium for the components of the Li-ion battery is less than 2.3% (Ecoindicator 99 points). The major contributor to the environmental burden caused by the battery is the supply of copper and aluminum for the production of the anode and the cathode, plus the required cables or the battery management system. This study provides a sound basis for more detailed environmental assessments of battery based E-mobility.

Modeling metal stocks and flows: a review of dynamic material flow analysis methods.

Dynamic material flow analysis (MFA) is a frequently used method to assess past, present, and future stocks and flows of metals in the anthroposphere. Over the past fifteen years, dynamic MFA has contributed to increased knowledge about the quantities, qualities, and locations of metal-containing goods. This article presents a literature review of the methodologies applied in 60 dynamic MFAs of metals. The review is based on a standardized model description format, the ODD (overview, design concepts, details) protocol. We focus on giving a comprehensive overview of modeling approaches and structure them according to essential aspects, such as their treatment of material dissipation, spatial dimension of flows, or data uncertainty. The reviewed literature features similar basic modeling principles but very diverse extrapolation methods. Basic principles include the calculation of outflows of the in-use stock based on inflow or stock data and a lifetime distribution function. For extrapolating stocks and flows, authors apply constant, linear, exponential, and logistic models or approaches based on socioeconomic variables, such as regression models or the intensity-of-use hypothesis. The consideration and treatment of further aspects, such as dissipation, spatial distribution, and data uncertainty, vary significantly and highly depends on the objectives of each study.

The allocation and value of time assigned to housework and child-care: An analysis for Switzerland

In this paper, data from the 1997 Swiss Labour Force Survey are used to analyse the allocation and value of time assigned to housework and child-care. It is shown that mens allocation of time to housework and child-care is largely invariant to changes in socio-economic factors. Womens allocation of time to housework and child-care, on the other hand, is shown to depend on several social, economic, and demographic factors. The value of time assigned to housework and child-care is calculated with two market replacement cost methods and three opportunity cost methods. The results show that the value of time assigned to housework and child-care ranges from 27% to 39% and from 5% to 8% of GDP (in 1997), respectively. The value of time assigned to housework and child-care is also calculated for different household structures.

One WEEE, many species: lessons from the European experience

Electrical and electronic equipment (EEE) pervades modern lifestyles, but its quick obsolescence is resulting in huge quantities of EEE to be disposed of. This fast-growing waste stream has been recognized for its hazard potential. The European Union’s (EU) Waste Electrical and Electronic Equipment (WEEE) Directive was essentially in response to the toxicity of e-waste — to ensure that it was collected and treated in an environmentally sound manner. Since then, the WEEE Directive has expanded its aims to include recovery of valuable resources as a means to reduce raw material extraction. With these objectives in mind, the Directive sets a common minimum legislative framework for all EU member states. However, the transposition of the Directive into national legislations has meant many differences in actual implementation models. There are 27 national transpositions of the Directive with different definitions, provisions and agreements. Each legislation reflects national situations, whether they are geographical considerations, legislative history, the influence of lobby groups and other national priorities. Although this diversity in legislations has meant massive problems in compliance and enforcement, it provides an opportunity to get an insight into the possible operational models of e-waste legislation. Building on the study by the United Nations University commissioned by the European Commission as part of its 2008 Review of the WEEE Directive, the paper identifies some key features of the Directive as well as legislative and operational differences in transposition and implementation in the various members states. The paper discusses the successes and challenges of the Directive and concludes with lessons learnt from the European experience.

Stocks, Flows, and Distribution of Critical Metals in Embedded Electronics in Passenger Vehicles

One of the major applications of critical metals (CMs) is in electrical and electronic equipment (EEE), which is increasingly embedded in other products, notably passenger vehicles. However, recycling strategies for future CM quantities in end-of-life vehicles (ELVs) are poorly understood, mainly due to a limited understating of the complexity of automotive embedded EEE. We introduce a harmonization of the network structure of automotive electronics that enables a comprehensive quantification of CMs in all embedded EEE in a vehicle. This network is combined with a material flow analysis along the vehicle lifecycle in Switzerland to quantify the stocks and flows of Ag, Au, Pd, Ru, Dy, La, Nd, and Co in automotive embedded EEE. In vehicles in use, we calculated 5-2+3 t precious metals in controllers embedded in all vehicle types and 220-60+90 t rare earth elements (REE); found mainly in five electric motors: alternator, starter, radiator-fan and electronic power steering motor embedded in conventional passenger vehicles and drive motor/generator embedded in hybrid and electric vehicles. Dismantling these devices before ELV shredding, as well as postshredder treatment of automobile shredder residue may increase the recovery of CMs from ELVs. Environmental and economic implications of such recycling strategies must be considered.

Material and Energy Flows and Environmental Impacts of the Internet in Switzerland

The Internet leads to material and energy consumption as well as various environmental impacts on both the regional and global scale. Yet, assessments of the Internets energy consumption and resulting greenhouse gas emissions are still rare, and assessments of material flows and further environmental impacts are virtually non‐existent. This article investigates material flows, the direct energy consumption during the use phase, as well as environmental impacts linked to the service, “Internet in Switzerland.” In our model, the service, Internet in Switzerland, is divided into various Internet participant categories. All devices used to access or provide Internet services are merged in a limited number of equipment families and, as such, included in an inventory of the existing infrastructure (stock). Based on this inventory, a material flow analysis (MFA) is performed, which includes the current stock as well as flows resulting from growth and disposal. The direct energy consumption for the operation of the infrastructure is quantified. Environmental impacts are calculated with a life cycle assessment approach, using the ecoinvent database and the software, SimaPro, applying four different methods. The MFA results in a 2009 stock of 98,100 tonnes. Approximately 4,130 gigawatt hours per year, or 7% of the total Swiss electricity consumption, were used in 2009 to operate the Swiss infrastructure. The environmental impacts caused during the production and use phases vary significantly depending on the assessment method chosen. The disposal phase had mainly positive impacts as a result of material recovery.

Simulation of Small Hydropower Stations for Operator Training

Abstract Hydropower is important for many developing countries. Small hydropower stations can be manufactured and operated in the countries by local personnel. Training of this personnel for operating the stations under different operating conditions is becoming vital. At ETH Zurich, together with the Swiss Center for Development Cooperation in Technology and Management, we are developing a generally available simulator for operator training. The simulator must be easy to use in teaching. No programming, only configuring should be required. Oberon, an object-oriented programming language and a modular, extensible operating system developed by N. Wirth and J. Gutknecht at ETH Zurich, is used as the basis for the simulator. The modelling and simulation of small hydropower stations is described in some detail.