In electric and hybrid vehicles Life Cycle Assessments (LCAs), batteries play a central role and are in the spotlight of scientific community and public opinion. Automotive batteries constitute, together with the powertrain, the main differences between electric vehicles and internal combustion engine vehicles. For this reason, many decision makers and researchers wondered whether energy and environmental impacts from batteries production, can exceed the benefits generated during the vehicle’s use phase. In this framework, the purpose of the present literature review is to understand how large and variable the main impacts are due to automotive batteries’ life cycle, with particular attention to climate change impacts, and to support researchers with some methodological suggestions in the field of automotive batteries’ LCA. The results show that there is high variability in environmental impact assessment; CO2eq emissions per kWh of battery capacity range from 50 to 313 g CO2eq/kWh. Nevertheless, either using the lower or upper bounds of this range, electric vehicles result less carbon-intensive in their life cycle than corresponding diesel or petrol vehicles.
The introduction of stationary storage systems into the Italian electric network is necessary to accommodate the increasing share of energy from non-programmable renewable sources and to reach progressive decarbonization targets. In this framework, a life cycle assessment is a suitable tool to assess environmental impacts during the entire life cycle of stationary storage systems, i.e., their sustainability. A Li-ion battery (lithium–iron–phosphate (LFP), nickel–manganese–cobalt (NMC) 532, and NMC 622) entire life cycle assessment (LCA) based on primary and literature data was performed. The LCA results showed that energy consumption (predominantly during cell production), battery design (particularly binder choice), inventory accuracy, and data quality are key aspects that can strongly affect results. Regarding the battery construction phase, LFP batteries showed better performance than the NMC ones, but when the end-of-life (EoL) stage was included, NMC cell performance became very close to those of LFPs. Sensitivity and uncertainty analyses, done using the Monte Carlo methodology, confirmed that the results (except for the freshwater eutrophication indicator) were characterized by a low dispersion and that the energy mix choice, during the different battery life phases, was able to greatly influence the overall impact. The use of primary and updated data related to battery cell production, like those used in the present paper, was necessary to obtain reliable results, and the application to a European production line is an item of novelty of this paper.
With the proliferation of e-commerce, the field of last-mile logistics has grown increasingly, highlighting the need to manage the environmental consequences of this phenomenon, especially to achieve decarbonization targets for cities and to improve citizens’ quality of life. Within this framework, the authors carried out a last-mile logistics life cycle assessment, to analyse and compare different logistics vehicle options performing the same service in an urban context: an electric four-wheel cargo bike, an electric van, a plug-in hybrid van, and a diesel van. The assessment shows that the e-cargo bike performs better for all the impact categories considered. The second-best option is the e-van, while the diesel van shows the worst environmental results. Focusing on decarbonization, the replacement of a diesel van with an electric one or with an e-cargo bike allows a reduction of 173 g CO2 eq/km and 250 g CO2 eq/km, respectively. Similar results are obtained for Photochemical Ozone Formation with associated emissions of 0.18, 0.31, 0.45 and 0.49 g NMVOC eq/km for the e-cargo bike, e-van, plug in hybrid van and diesel van, respectively. The only exceptions are Human Health impact categories, Acidification and Respiratory inorganics, for which the plug-in hybrid van performs worst, and Resource use, Mineral and Metals, for which the electric van performs worst.
Electrochemical storage systems are an enabling solution for the electric system ecological transition, allowing a deeper penetration of nonprogrammable renewable energy resources, such as wind and solar energy. Lithium-ion batteries (LIBs) are state of the art energy storage technology. Nevertheless, LIBs show critical problems linked to their production, especially for what concerns energy consumption, greenhouse gas emissions, and rare raw materials use. Finding alternative storage technologies seems crucial for support energy transition, but at the same time, it is important to study their sustainability from the very beginning of their technological development. Using this framework, this paper presents a life cycle based environmental-economic assessment, comparing Na-ion coin cells (Ti1Al1TiC1.85 MXene as anode material) with LIBs. LCA results show that the assessed Sodium-ion batteries (SIBs) are less environmentally friendly than LIBs, an outcome driven by the SIBs’ lower energy density. However, if results are shown by mass, SIBs can represent potential alternatives to LIBs. On the other hand, the analysis shows that even Na-ions already use less critical resources, both in absolute and in relative values, highlighting the need, at least for the European Union, to find valid alternatives to LIBs if the 2050 decarbonization targets are to be met.
This study defines a methodology for the development of an economic indicator of natural resource use to be applied in the framework of the Life Cycle Assessment (LCA) methodology to integrate the assessment of the environmental performances of products or processes during their life-cycle. The indicator developed-called Commodity Life Cycle Costing (or C-LCC)-is based on market prices, therefore incorporating information from both the demand and supply sides. Monte Carlo analysis is used to take price volatility into account. Alternative versions of the indicator, based on open-source data or calculated considering European Union’s critical raw materials only, are also developed. The study also provides a comparison between the C-LCC indicator and ReCiPe’s Mineral and Fossil Resource Depletion indicators and applies the proposed methodology to several types of batteries for stationary energy storage.
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