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Energy and the Environment
Life cycle assessment of a Vanadium Redox Flow Battery Selina Weber, Jens Peters, Manuel Baumann, and Marcel Ralf Weil Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b02073 • Publication Date (Web): 22 Aug 2018 Downloaded from http://pubs.acs.org on August 23, 2018
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Life cycle assessment of a Vanadium Redox Flow
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Battery
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Selina Weberac, Jens F. Petersac*, Manuel Baumannbc and Marcel Weilbc a
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b
Helmholtz Institute Ulm (HIU), Karlstr. 11, 76133 Karlsruhe , Germany
ITAS, Institute for Technology Assessment and Systems Analysis, Karlstr. 11, 76133 Karlsruhe,
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Germany c
Karlsruhe Institute of Technology (KIT), P.O. Box 3640, 76021 Karlsruhe, Germany *
Corresponding author.
[email protected] 9
ABSTRACT. Batteries are one of the key technologies for flexible energy systems in future. In
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particular, vanadium redox flow batteries (VRFB) are well suited to provide modular and
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scalable energy storage due to favourable characteristics such as long cycle life, easy scale-up
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and good recyclability. However, there is a lack of detailed original studies on the potential
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environmental impacts of their production and operation. The present study fills this gap by
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providing a comprehensive life cycle assessment of a representative VRFB. Transparent and
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comprehensive inventory data are disclosed as a basis for further environmental studies. VRFBs
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are found to be promising regarding the assessed impact categories, especially at high energy-to-
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power (E/P) ratios. On the other hand, significant impacts are associated with the vanadium
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pentoxide production, why the origin and processing of the vanadium bearing ores is a key for
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further reducing the environmental impacts associated with the VRFB manufacturing. While the
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lower efficiency of the VRFB is a disadvantage in comparison to e.g. lithium-ion batteries (LIB),
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its recyclability is significantly higher. In this sense, the importance of taking a cradle-to-cradle
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life cycle perspective when comparing very different battery systems can be highlighted for
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further research on this topic.
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TOC Art
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KEYWORDS. Environmental assessment; stationary energy storage, renewable energy, system
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analysis.
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1. Introduction
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Batteries are gaining importance for supporting increasingly flexible energy systems based
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mainly on renewables. Among the different available technologies, redox flow batteries (RFB)
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are particularly suited for stationary systems, providing modular and scalable energy storage for
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a variety of applications. The liquid electrolytes of RFBs are stored in tanks and pumped through
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the stacks (containing the battery cells) where the electrochemical reactions take place. A major
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advantage is that both the stacks (determining the power rating of the battery) and the tanks
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(determining the amount of electrolyte and thus the storage capacity) can be dimensioned
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independently.1 This allows designing RFB individually to fit the specific energy and power
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requirements of a given application. The most studied and currently most promising RFB
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technology are vanadium redox flow batteries (VRFB). A VRFB has the advantage of using the
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same element on both sides of the battery cell, what avoids the very challenging problems of
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cross-contamination of the electrolytes.2 Moreover, VRFBs do not suffer from permanent self-
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discharge,3 show a fast response, ambient temperature operation and long cycle and service life.4
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Since the ongoing transition towards renewable energies is driven by environmental concerns,
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also the installation and use of battery storage systems should aim at minimising associated
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environmental impacts. However, no detailed study on the potential environmental impacts of
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VRFB production and operation yet exists. While several techno-economic assessments of
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VRFB modules have already been published,4–10 there is a lack of detailed original life cycle
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assessment (LCA) studies of this battery type. The reference work in the field is based on very
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rudimentary and largely unquantified data and dates back to 1999.11 All other literature related to
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the environmental impacts of VRFB is at least partially based on this extremely simplified LCA
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study or does not disclose comprehensive and transparent inventory data.12–16 Consequently,
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there is an urgent need for an up-to-date and comprehensive life cycle assessment (LCA) based
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on thoroughly modelled inventories as basis for future works in the field.
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2. Materials and Methods
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2.1. LCA framework
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Life Cycle Assessment (LCA) is a standardized method to assess the potential environmental
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impacts of goods, products or services over their entire life cycle.17–19 Accordingly, the present
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study follows a cradle-to-cradle approach, considering all stages of the lifecycle of a VRFB,
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namely the production, use phase and the end-of-life treatment. However, the focus of the
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inventory modelling is set on the cradle-to-gate stages i.e., the production of the VRFB
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components involving raw materials extraction, material processing and product manufacturing.
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The functional unit (FU) refers to the provision of 1 MWh of electricity by the battery over the
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20 year lifetime of a hypothetical renewables support application. This includes the impacts of
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battery production (and all upstream processes until the mine), replacement of battery
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components, battery end-of-life (EoL) handling, and the impacts associated with the electricity
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‘lost’ during charge/ discharge due to internal inefficiencies. As electricity sources, wind and
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photovoltaic (PV) installations are considered, plus the average German grid mix for comparison
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purpose. Environmental impacts are quantified following the CML method, considering the
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following impact categories: global warming potential (GWP), human toxicity potential (HTP),
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acidification potential (AP) and depletion of abiotic resources (ADP).20 For these, high relative
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impacts were identified out in a recent review of LCA studies on LIB.21 The life cycle modelling
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and assessment is carried out using openLCA 1.622 and ecoinvent 3.3 (cut-off model) as
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background LCI database.
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2.2. VRFB model (manufacturing phase)
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Conceptually, the VRFB system is divided into two subsystems: a power sub-system
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comprising all components related with the stack and the battery cells (determining the power
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rating), and an energy sub-system comprising the electrolyte and associated components
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(determining the storage capacity). All remaining components are assigned to the periphery. The
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considered VRFB system shows a rated power of 1 MW and a nominal energy capacity of 8.3
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MWh. The principal battery layout is mainly derived from published literature, majorly a recent
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publication on stationary VRFB.5 The dimensions of the different parts provided there allow for
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calculating the battery composition on a mass basis. The tabulated mass balance and further
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details of the modelling approach are provided in Section 1.1. of the Electronic Supporting
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Information (SI).
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The considered 8.3 MWh system requires an electrolyte volume of 202 m3 and, assuming a
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void volume of 50%, a tank capacity of 300 m3. For a nominal power of 1 MW, two stacks with
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a total of 156 cells are required. A single cell consists of a membrane, a bipolar plate, two carbon
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felt electrodes, and a polyvinylchloride (PVC) cell frame. These individual cells are joined
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(‘sandwiched’) in a steel frame to form stacks, with the amount of cells per stack determining the
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system voltage. The system power is determined by the active area i.e., the size of the bipolar
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plate and membranes within the stacks. Thus, the power output of a VRFB can be designed by
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adjusting the amount of stacks (doubling the stack number doubles the power output) or by
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increasing the stack size. Each electrolyte circuit requires two centrifugal pumps and pipes with a
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length of 30 meters from the tanks to the cells (calculated based on a simple schematic battery
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system layout), plus another 5 meters of pipes per stack. According to the stack geometry, an
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average 14 meters of cable are required per stack. The peripheral components comprise one heat
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exchanger, the inverter and battery management system (also process control system; PCS).
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Figure 1 shows the composition of the modelled VRFB representing the cell and stack
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components. The high importance of the electrolyte becomes evident, being this the by far
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dominating component in terms of mass share. The electrolyte is stored in tanks made of glass
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fibre (at least one for the positive and one for the negative side), and pumped through the stacks
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by centrifugal pumps. The electrolyte composition is taken from the technical data sheet of a
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commercial manufacturer (Gfe GmbH),23 with a vanadium concentration of 1.6 mol / L and a
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sulphate concentration of 2 mol / L. As membrane material, the standard material Nafion® from
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E.I. DuPont De Nemours & Co. (DuPont) is used.24 Sulfonated polyetheretherketone (sPEEK)
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represents a promising alternative to Nafion® membranes and is assessed additionally for a
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sensitivity analysis. The electrodes of VRFBs are generally made of carbon-based felts based on
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polyacrylonitrile (PAN). Bipolar plates are made from compound materials consisting of
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synthetic graphite in combination with polypropylene as a binder. Each cell is surrounded by an
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extruded PVC frame. The individual cells are combined into stacks by the help of gaskets and a
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steel structure (stack frame) consisting of two double T-profiles that correspond to the
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dimensions of the stack. Each stack is completed by two copper current collectors. Gaskets seal
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the individual cells to prevent leakages of the electrolytes, requiring longevity and resistance to
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acid corrosion. The currently most promising gasket material is FKM, but also EPDM and
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silicone are suitable.25 All these components are modelled explicitly and in full detail within this
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work. Currently, no large-scale VRFB production industry yet exists, why reliable data on these
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processes are difficult to obtain. This applies to all stages of the battery’s life cycle, like charge-
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discharge efficiency and its possible change over lifetime, the lifetime of battery components and
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their recyclability and re-usability (especially for the electrolyte and its re-conditioning for
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subsequent use), but also the modelling of battery components like e.g., the electronics and
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cables or cooling systems. This requires the use of reference processes, expert judgements and
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assumptions, increasing thus the modelling uncertainties. In order to provide maximum
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transparency and reproducibility in this regard, the comprehensive life cycle inventory data
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(LCI) for each step of the manufacturing process and the corresponding assumptions and data
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sources are disclosed fully in the SI (Sections 1.2.-1.4.). The production of the VRFB is assumed
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to take place in Germany, using the corresponding electricity mixes. By contrast, the vanadium
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pentoxide (V2O5) for the electrolyte is assumed to be produced in South Africa, being this one of
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the main countries of origin of V2O5.26
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Figure 1. Composition (in wt. - %) of a VRFB module with an energy capacity of 8.3 MWh and
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a rated power of 1 MW
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2.3. Vanadium production (upstream processes)
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The vanadium pentoxide production process is modelled based on information from a mine
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operator in South Africa.27 This process represents vanadium obtained from titanomagnetite
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ores, the principal source of industrial V2O5. The ore is processed in a first step to produce
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vanadium containing pig iron, which can further be processed in an electric arc furnace to steel
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and a vanadium bearing slag (as a by-product of steel manufacturing). From this slag with an
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elevated vanadium content of around 25%, vanadium pentoxide can be extracted via acid
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leaching processes.28,29 This includes the grinding of the slag, roasting and the subsequent
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leaching with ammonium sulphate and sulphuric acid. The resulting ammonium polyvanadate is
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then converted into high-purity vanadium pentoxide via roasting, while the residual slag is
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landfilled.28 Figure 2 depicts the process chain, indicating important process steps and the
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corresponding material flows. The detailed LCI data for the vanadium pentoxide process steps
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can be found in Section 1.3.1. of the SI.
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Figure 2. Flowchart of the manufacturing of vanadium pentoxide
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2.4. LTO Lithium-Ion Battery model (reference battery)
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LTO type lithium-ion batteries (lithium-iron-phosphate based cathode with lithium titanate
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anode) are considered to be one of the principal competitors of VRFB. This is basically due to
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their high cycle lives, making them especially applicable for stationary applications where
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energy densities are less crucial than in the mobility sector.12 The LTO battery model is based on
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published literature, majorly the work by Bauer (2010) and a recent publication on stationary
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batteries.30,31 The battery configuration is adapted to match that of the VRFB in terms of storage
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capacity. The inverter (not considered in the underlying publication) is assumed to be identical to
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that of the VRFB. As for the VRFB, no secondary infrastructure (buildings, foundations, etc.) is
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accounted for. More details and the complete LCI data of the LTO battery can be found in the SI
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(Section 1.5.).
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2.5. Battery recycling (end-of-life)
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The batteries are dismantled after the end of the application lifetime (20 years) and recycled.
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Due to the very limited data availability, a simplified approach is used for the end-of life model
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of the batteries, based on an adaptation of existing ecoinvent datasets. According to the chosen
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cut-off model, all impacts associated with the recycling process are allocated to the battery
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system, while the recovered products are available free of burden. For quantifying the potential
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benefits of the battery recycling, the cradle-to-cradle impacts of the battery system are calculated
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twice, once using the average market mix of the individual materials for the production of the
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batteries, and once using majorly recycled raw materials (closed loop recycling). Since the
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battery materials cannot be recovered by 100%, a minor share of material has still to be sourced
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from the markets, even when assuming a maximum use of recycled raw materials, with this share
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being determined by the recycling efficiency. The difference in results between the system based
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on recycled and the one based on average market materials is then the potential reduction of
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environmental impacts due to recycling. This can be considered a temporal mismatch (recovered
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materials are available 20 years after battery production), but would be a valid assumption for an
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established battery industry. The recycling processes themselves are modelled based on
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ecoinvent processes, which are adapted to the specific compositions of the different batteries.
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The LTO battery installation is dismantled mechanically and the racks and tray housings
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separated from the battery cells. Steel parts, cables, waste electronic components and waste
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plastic are send to separate specific recyclers, using ecoinvent data for recycling of these
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components. The recycling of the battery cells themselves is modelled based on ecoinvent,
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assuming 50% hydrothermal and 50% pyrometallurgical recycling. A general recycling
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efficiency of 90% is assumed for the basic metals steel and copper and for lithium in the
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hydrometallurgical route, while the remaining fraction of the battery cells is sent to waste
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treatment by incineration.32,33 Since no LTO-specific recycling processes exist yet, this leads to a
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comparably low recovery of materials from these cells. This reflects the current state-of-the art,
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where LTO batteries would be processed in the same recycling line as other LIB, while in future
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more specific processes might be used, increasing recovery.34 For all metal parts that can be
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readily dismantled by mechanical separation on a macro-scale, a higher recycling efficiency of
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95% is assumed. This applies also for all components of the VRFB, which can entirely be
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dismantled mechanically. The electrolyte does not degrade significantly and can be re-used for
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battery applications, but probably requires some re-processing and purification.35 For this
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purpose, the electricity input required for re-balancing the electrolyte is accounted for, estimated
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based on electrochemical calculations. Since the actual purification steps required for
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regenerating a 20 year old electrolyte are yet unknown, this is only a rough approximation and
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associated with elevated uncertainties. More details about the end-of-life modelling and the
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inventory tables are provided in Section 3 of the SI.
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2.6. Battery operation (use-phase)
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The environmental impacts associated with battery operation are related to internal losses
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(charge-discharge efficiency), maintenance activities and battery replacements due to limited
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battery lifetime (10 years for stack components and 20 years for electrolyte, see also Table S.29
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of the SI). The service provided by the batteries is renewables support (RS) i.e., balancing
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demand from the grid and daily electricity generation. Since the source of electricity (and thus
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the environmental impacts associated with its generation) play a relevant role for the total
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impacts of the battery systems, two different renewable energy sources are considered:
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Electricity from wind turbines and from PV installations. Additionally, the average German grid
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mix is used as alternative electricity source for comparison purpose (partially fossil based
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electricity). The battery charges electricity from these sources and dispatches it to the grid in
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times of lower generation and higher demand. A detailed model of the application is out of the
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scope of this study, why the same simplified load profile is used for all considered electricity
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sources. It requires an average 1.12 cycles per day over 20 years i.e., a total of 8176 charge-
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discharge cycles over the application lifetime.12 For the same reason, no degradation effects (e.g.,
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dropping efficiency along lifetime, energy input for electrolyte re-balancing) are considered in
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the use-phase model. More details about the use phase modelling, underlying assumptions and
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the complete inventory data can be found in Section 2 of the SI.
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3. Results 3.1. Battery manufacturing (cradle-to-gate)
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Figure 3 shows the contribution of the different VRFB components to the total impacts of
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battery manufacturing (including upstream processes, without using recycled material) for the
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four assessed impact categories.
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Figure 3. Break down of environmental impacts from VRFB manufacturing to battery
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components and upstream processes without the use of recycled materials. GWP = global
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warming potential, HTP = human toxicity potential, AP = acidification potential, ADP = abiotic /
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mineral depletion potential. Numbers on top of the bars indicate the absolute manufacturing
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impacts per MWh of electricity delivered by the battery over lifetime.
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GWP. The battery components associated with the electrolyte (electrolyte, tanks and
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corresponding upstream processes) make up more than 90 % of the total global warming
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impacts, while the stack and periphery components contribute only 5 and 2 %, respectively.
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When looking at the electrolyte production in detail, it becomes clear that the major sources of
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GWP impacts can be found in the upstream processes i.e., the recovery of the V2O5 from the
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vanadium bearing slag and the prior vanadium bearing cast iron production from the titanate
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ores.
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The mining and vanadium extraction activity takes place in South Africa, where the average
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electricity mix is based heavily on coal, causing the high contribution of electricity consumption
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along the V2O5 production chain. In fact, the electricity demand for the vanadium production is
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responsible for 46 % of the total GWP. The mining of the magnetite ore contributes another 9%
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to the total GWP, of which the major share (6%) are caused by petrol demand during the mining
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operations. Apart from that, the quicklime used in the pig iron and steelmaking process
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contributes a total of 8.5 % to the GWP. Other important drivers for the GWP impacts are the
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demand for process heat and liquid oxygen, but also direct CO2 emissions from the iron- and
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steelmaking processes.
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HTP. For the human toxicity potential, the main contributor is the production of the electrolyte
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again, but with a significantly lower share of only 55 %. Also here, the vanadium pentoxide and
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thereof the slag production is the main driver (50 % of the total HTP). Within these, impacts are
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driven principally by the electricity demand, followed by the mining operation and the treatment
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of the slag. Apart from the electrolyte production, the production of the current collector (21 %)
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and the inverters (5%) show important contributions to the overall HTP, both mainly due to the
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required copper.
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Another 10% of the HTP impacts are caused by the electrolyte tank, with the two precursor
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materials glass fibre and polyester resin contributing 7 % and 3 %, respectively. Minor
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contributions stem from periphery components like cables, electronics and heat exchanger,
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principally due to copper, precious metal mining for electronics and stainless steel production.
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All other components of the VRFB together contribute less than 3 % to the total HTP.
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AP. The battery components associated with the electrolyte make up more than 95 % of the
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total acidification impacts. The stack and periphery components have only minor contributions to
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the overall AP impacts (4 % and 2 %). When looking at the electrolyte production in detail, the
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major contributions stem from the upstream processes along the V2O5 production chain. The
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highest are direct emissions from the V2O5 production (53%), where the roasting of the
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vanadium bearing slag prior to acid leaching causes significant SO2 emissions. Installing an
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exhaust gas scrubber for SO2 recovery might reduce these substantially. However, since no
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further information is available in this regard, this is not considered (conservative model).
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Significant contributions are associated also with the electricity demand in the V2O5 production
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chain (27%), followed by the mining operation (5%). From the stack and periphery (together
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only 4% of the total AP) components, the current collector and electronic components show the
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highest contributions (3%), mainly due direct emissions from copper and precious metal mining.
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ADP. As for the other impact categories, the electrolyte is the most important driver for abiotic
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(mineral) resource depletion (93%). Here, the extraction of the resources titanium dioxide and
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vanadium (both contained in the mined magnetite ore) are mainly decisive for the ADP. The
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extraction of titanium dioxide accounts for 51 % and the vanadium extraction for 21 % of the
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overall ADP. This distribution is a direct result of the allocation of impacts between the two by-
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products according to economic criteria. While this is in line with current practice and ecoinvent
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principles, it can certainly be discussed whether titanium needs to be accounted for as depleted
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resource when it is not further used in the process but left on the site as tailing residue.36 Besides
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the vanadium extraction, sulphuric acid is one of the major driver for the impacts in this category
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(7%) as ingredient for the electrolyte and another 4% in the acid leaching of the vanadium slag;
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accounted for under ‘V2O5 production - others’ in Figure 3. The high ADP associated with
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sulphuric acid is also an allocation effect: A minor share of the (ecoinvent) market mix for
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sulphuric acid is sourced from mining processes, where it is obtained as a by-product from
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emission abatement (SO2 recovery). Since it is a marketable by-product, part of the resource
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depletion impacts are allocated to the sulphuric acid, causing its comparably high contribution to
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ADP. Besides the electrolyte, relevant contributions stem from the copper required for current
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collectors and electronics (4%), the glass fibre for the electrolyte tank (1 %) and the
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hexafluoroethane required for Nafion® and FKM synthesis. All other components of the VRFB
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system show only minor contributions.
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3.2.Whole life cycle (cradle-to-cradle)
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Figure 4 shows the cradle-to-cradle comparison (whole life cycle) of the environmental
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impacts obtained for the VRFB with those of the LTO for the four considered impact categories,
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both for three different electricity sources: electricity from wind turbines, from a photovoltaic
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installation, and the average German grid mix. The right side of each sub-figure shows the
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impact using recycled materials, while the left side displays the impacts without recycling (using
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virgin material). Replacement refers to additional battery required due to ageing during the 20
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year lifetime of the installation and can be considered additional manufacturing impacts due to
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limited lifetime.
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Figure 4. Environmental impacts per MWh of electricity provided over lifetime, broken down to
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life cycle stages. GWP = global warming potential; HTP = human toxicity potential; AP =
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acidification potential; ADP = abiotic depletion potential, elements
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When disregarding the potential benefit of battery recycling (use of virgin materials; left six
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bars in each sub-figure in Fig.4), the manufacturing impacts dominate the total impacts in all
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assessed categories if renewable energy is used as electricity source. In spite of its higher
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nominal energy density (38 vs. 26Wh/kg i.e., a lower battery mass is required for providing the
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same storage capacity), the LTO battery shows, per MWh of electricity provided over lifetime,
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higher impacts from the manufacturing stage except for AP.
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The impacts from the use phase are caused by the electricity dissipated due to internal
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inefficiencies of the batteries. For wind and PV installations, these are associated majorly with
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the production phase of the turbines and solar panels, why PV installations usually show higher
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impacts per kWh of electricity than wind parks.12 For the grid electricity, fossil power plants,
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above all coal and lignite, are the major sources of environmental impacts causing high
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contributions to GWP, AP and HTP. Only for ADP, a different profile can be observed. Here, the
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lowest impacts are obtained for the grid mix. This is typical for renewable energy technologies
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that rely to a significant share on functional metals and thus cause higher mineral resource
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depletion impacts than thermal power plants.37,38 Due to the lower charge-discharge efficiency of
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the VRFB, its use phase impacts are significantly higher. For comparably ‘clean’ electricity from
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wind turbines, this is less relevant, and the VRFB scores better than the LTO in the majority of
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the assessed categories. However, with electricity associated with higher environmental impacts
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(like PV or grid electricity), the result is reversed due to the increasing relevance of internal
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losses. Especially for the (partially) fossil based average grid mix, the higher efficiency of the
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LTO is becomes decisive. For both battery types, ageing effects can also increase the internal
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losses within the cells over lifetime and thus the impacts from the use-phase. Since no data is
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available in this regard, this is not considered further. The replacement of battery cells / stacks
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along the assumed 20 year operation time of the storage system plays only a minor role due to
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the high lifetime of both batteries. Only for HTP, the stack exchange for the VRFB shows a
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significant contribution, mainly due to the copper required for the current collectors. However,
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the current collector plate could be recovered easily during dismantling, and when taking into
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account the potential for using recycled materials (right sides in Figure 4), its impact is reduced
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drastically.
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The benefit of recycling (displayed as a reduction of impacts when using recycled material) is
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significant in all cases and higher than the additional environmental impacts caused by the
328
processing of the waste streams (‘EoL’-phase in Figure 4). In general, the EoL processes for the
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LTO battery show higher impacts due to the much more complex process required for treating
330
the highly integrated battery cells by hydrometallurgical and pyrometallurgical processes. The
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VRFB in comparison can be dismantled by mechanical processes and the different components
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can then be recycled directly as mono-fraction materials, reducing expenses for EoL treatment
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and increasing the amount of recoverable materials. This leads to a drastic reduction of impacts
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for the VRFB in all assessed categories. In consequence, when considering the benefit of battery
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recycling, the VRFB scores better than the LTO battery in all cases as long as renewable energy
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is charged. This highlights the importance of the end-of-life stage for the overall impacts of
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batteries and the relevance for a design for recyclability of battery systems, even if this might
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lead to lower technical performance (e.g., energy densities).
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When comparing the results with those obtained by Hiremath et al.14, the most extensive recent
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study in the field, these obtain values of 15 – 135 kg CO2-eq cradle-to-gate emissions per MWh
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delivered by the battery, depending on the use profile of the VRFB. Yet, their calculation is a
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direct recompilation of the results provided by Denholm & Kulcinski,15 who provide a value of
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40 kg CO2-eq; close to the values obtained in the present study (38.2 kg CO2-eq /MWh). The
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reference study by Rydh11 obtains a GWP impact of 8.15 kg CO2-eq / MWh provided over
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lifetime, significantly lower. However, their very simple inventory does not model upstream
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processes and assumes the vanadium to be available free of burden, thus underestimating the true
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impacts of the electrolyte. Another recent study16 only provides aggregated results (single score)
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and no documentation of their inventory model, why it cannot be used for comparison.
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4. Discussion and sensitivity analysis
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The inventory data for the VRFB basis for this assessment are a hypothetical model of a
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current state-of-the-art VRFB. Data from many sources are compiled for the inventory model
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and numerous assumptions and simplifications are required for this purpose, why the
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associated uncertainties are high and need to be considered when interpreting results.
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Providing uncertainty ranges for the values provided in the inventory tables would help to
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estimate their influence on the results. However, for being able to provide a meaningful
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uncertainty distribution, a certain minimum of data points is required, while often only a single
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value is available. Thus, we do not provide uncertainty ranges, but disclose the full inventory
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data in the SI, allowing for further development of the inventory model and successive
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inclusion of further data for future uncertainty analysis. Applying the standard uncertainty
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estimation process according to ecoinvent,39,40 we obtain a σ2 of 21 for energy and material
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inputs, resource demand and the most relevant emissions. The indicators that contribute most
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to the total uncertainty are reliability (because of frequent use of assumptions for modelling)
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and completeness / sample size (modelling is based on a limited amount of datasources and
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small sample sizes).
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4.1. Battery layout / (E/P) ratios
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Comparing the default VRFB system with an energy-to power (E/P) ratio of 8:1 (in the
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following using integer values for the E/P ratios for better readability) to systems with lower E/P
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(4:1) and higher E/P (10:1) allows giving recommendations about the most favourable system
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configuration under environmental aspects (Figure 5). With increasing E/P ratio, also the mass
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share of the energy components increases (91%, 95% and 97% for E/P ratios of 4/1, 8/1 and
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10/1, respectively). Since, on a mass basis, the power components (stack) show relatively higher
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environmental impacts than the electrolyte and tanks, lower impacts are obtained with high E/P
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ratios. For very high E/P ratios, the impacts associated with the VRFB production would
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asymptotically approach those of the electrolyte. In consequence, the most favourable
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applications for VRFB under environmental aspects would be the provision of high storage
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capacities but comparably low power rating, showing the lowest impacts per kWh of storage
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capacity.
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Figure 5. Comparison of the results for the battery production (no use of recycled materials) of
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three different energy-to-power ratios (4:1, 8:1 and 10:1) and contribution of the battery
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components to the environmental impacts per category. GWP = global warming potential, HTP =
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human toxicity potential, AP = acidification potential, ADP = depletion of abiotic resources
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4.2. Membrane materials
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The membrane plays a key role in any VFRB system. Apart from GWP impacts from its
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production, it is also a major cost driver.2 Among the variety of potential membrane materials
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available for VRFBs, one of the most promising alternatives to the common Nafion® membrane
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material is sulfonated polyetheretherketone (sPEEK). In order to evaluate the potential
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environmental benefits or drawbacks of this material, Figure 6 displays the characterization
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results for a sPEEK based VRFB stack relative to an identical stack using the standard material
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(Nafion®). More details of the modelling and the corresponding LCI can be found in the SI
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(Section 1.2.1. and 1.2.2).
393 394
Figure 6. Environmental impacts associated with the production of a 1 MW VRFB stack using
395
different membrane and gasket materials in relation to the default battery design
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The use of sPEEK instead of Nafion® as membrane material decreases the environmental
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impacts in all of the assessed categories. Especially for GWP and ADP, the overall impacts
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caused by the battery stack production can be reduced by 36% and 19%, respectively, while for
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HTP and AP the differences are comparably small. The reason for the high GWP reduction
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potential is majorly the influence of the tetrafluoroethylene in the production of the Nafion®
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membrane, which makes a great contribution to the GWP. For a sPEEK- based VRBF stack, the
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production of the membrane contributes only 13 % to the total GWP associated with its
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production (in comparison to 45% for the Nafion®-based stack). Of these 13%, 12% stem from
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the dinitrogen monoxide emitted during the sPEEK membrane production, while other
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components show only minor contributions. For ADP, the high reductions achievable when
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substituting Nafion® by sPEEK can be attributed majorly to the avoidance of hexafluoroethane
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required for the Nafion® synthesis process. However, some major limitations and uncertainties
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of this analysis have to be taken into account. First, the energy consumption of the sPEEK
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membrane production process is estimated based only on the shaping and polycondensation
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process steps. Other process steps are neglected due to lack of data and the total energy demand
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is therefore probably underestimated. On the other hand, the dinitrogen monoxide emissions of
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the sPEEK synthesis process, modelled based on laboratory data,41 are relatively high (see SI,
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Section 1.2.2. for more details). In an industrial plant, these would most probably be converted
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into nitrogen and water by an ammonia washing process. This is not taken into account, why the
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GWP of the sPEEK membrane is probably overestimated. Hence, the use of sPEEK membrane
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can be considered a promising alternative to the widely used Nafion® membrane under
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environmental aspects. Yet, the replacement of standard membranes against the alternative
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membrane is not technically trivial and requires further research. Impacts on battery performance
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and lifetime aspects have to be considered in order to avoid a burden shifting, e.g. reduced
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production impacts against higher impacts during operation due to reduced lifetime or higher
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inefficiencies.
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4.3. Gasket materials
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Gaskets are important components that can determine the lifetime of a VRFB stack. Leakages
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due to fail of gaskets can lead to oxidation or deterioration of the electrolyte and to the failure of
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the whole VRFB. Different materials for gaskets are available, namely FKM (fluoroelastomer),
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EPDM (ethylene propylene diene monomer) and silicone.25 FKM gaskets are most common and
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therefore considered as the standard material for the base-case configuration in the previous
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assessments. The effect of using alternative gasket materials (namely EPDM and silicone) on the
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characterization results for the 1MW VRFB stack are provided in Figure 6.
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While EPDM and silicone show very similar environmental impacts (except for ADP, where
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silicone scores slightly better), they both have the potential to significantly reduce the GWP
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impacts associated with the VRFB stack (up to 30 %). This is mainly due to avoidance of
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tetrafluoroethylene required for the FKM gasket production, responsible for the relatively high
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environmental impacts of this material. While HTP and AP impacts of EPDM and silicone
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production are higher than for FKM, this is negligible for the results of the whole stack in these
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categories, where membrane and gaskets contribute only very minor shares (Figure 5). For ADP,
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a notable reduction (7% and 10% for EPDM and silicone, respectively) can be observed, which
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is attributable (similar as for substitution of the Nafion® membrane) to the avoidance of
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hexafluoroethane.
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Still, also for the sensitivity analysis the limitations and uncertainties associated with this have
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to be taken into account. For the modelling of the LCI of the silicone and EPDM gasket
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production, the standard ecoinvent data records are used without any application-specific
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changes. Thus, the production process might vary considerably depending on the excipients
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used. Apart from that, the impacts of the different gasket materials on battery performance and
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lifetime need to be evaluated for a more comprehensive assessment of alternative gasket
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materials.
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4.4. Performance parameters and recyclability
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While VRFBs show low energy densities and low efficiencies, their long lifetime and good
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recyclability make them a promising alternative for stationary energy storage. This is especially
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true for low power applications, since the environmental impacts of VRFB are decreasing for
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higher energy-to-power (E/P) ratios. In comparison with a comparable stationary lithium-ion
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battery (LTO-type), the VRFB shows lower environmental impacts in three of the four assessed
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categories (per MWh of electricity provided over lifetime and using wind power for charging).
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Considering also the potential benefit of battery recycling, the VRFB outscores the LTO battery
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clearly in all categories due to its easy recyclability (it is less integrated than LIB cells and easily
456
be separated into mono-fractions on macro-scale) . This shows the relevance of recyclability for
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the environmental performance of batteries, which cannot be disregarded for battery
458
assessments.
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However, its charge-discharge efficiency is significantly lower (75% vs. 90% for the LTO),
460
and when using electricity with higher environmental impacts per MWh, the highly efficient
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LTO battery can become the better choice. In fact, already with electricity from a German PV
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installation (instead of wind electricity), the advantage of the VRFB is reduced significantly, and
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for (partially) fossil based electricity, the LTO battery scores better. A thorough assessment of
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the different battery types within different applications considering the actual charge-discharge
465
requirements, their influence on battery lifetime and the actually charged electricity could
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therefore be a highly relevant topic for future works.
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ASSOCIATED CONTENT
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Supporting Information. The Supporting Information is available free of charge on the ACS Publications website at DOI: XXXX. It provides the complete LCI data in tabulated form
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explicitly for reproducibility purposes and additional descriptions of the underlying modelling
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approaches and assumptions.
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472 473
AUTHOR INFORMATION
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Corresponding Author
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* Dr. Jens F. Peters. Helmholtz Institute Ulm (HIU), Karlstr. 11, 76133 Karlsruhe, Germany. E-
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mail:
[email protected]; Phone: +49-721-608 28177.
477
ACKNOWLEDGMENT
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The authors acknowledge the funding of the Helmholtz Society within the SCI Program Storage
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and Cross-Linked Infrastructures.
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ABBREVIATIONS
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ADP, Abiotic Depletion Potential, minerals (impact category); AP, Acidification Potential
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(impact category); E/P, Energy-to-power ratio; EPDM, ethylene propylene diene monomer
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(gasket material); EoL, End-of-Life; FKM, Fluoroelastomer (gasket material); FU, Functional
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Unit; GWP, Global Warming Potential (impact category); HTP, Human Toxicity Potential
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(impact category); LCA, Life Cycle Assessment; LCI, Life Cycle Inventory; LTO, Lithium
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Titanate Oxide (Lithium-Ion battery chemistry); PAN, Polyacrylonitrile; RFB, Redox-Flow
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Battery; sPEEK, Sulfonated polyetheretherketone (membrane material); VRFB, Vanadium
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Redox-Flow Battery.
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