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14 results for “Environmental life cycle assessment”
Life cycle inventories for the article: Circular Battery Production in the EU: Insights from integrating Life Cycle Assessment into System Dynamics Modeling on Recycled Content and Environmental Impacts
<p>This repository provides the unregionalized life cycle inventories to the paper "<span>Ginster, R.</span>, <span>Blömeke, S.</span>, <span>Popien, J. L.</span>, <span>Scheller, C.</span>, <span>Cerdas, F.</span>, <span>Herrmann, C.</span>, & <span>Spengler, T. S.</span> (<span>2024</span>). <span>Circular battery production in the EU: Insights from integrating life cycle assessment into system dynamics modeling on recycled content and environmental impacts</span>. <em>Journal of Industrial Ecology</em>, <span>1</span>–<span>18</span>. <a href="https://doi.org/10.1111/jiec.13527">https://doi.org/10.1111/jiec.13527</a>".</p> <h2>Contents</h2> <p>The repository is split into 2 parts and comprises the following files:</p> <p><strong>01_production: </strong>contains the necessary life cycle inventories for battery production.</p> <ul> <li><strong>01_primary</strong>: contains the life cycle inventories for battery production from primary materials.</li> <li><strong>02_secondary</strong>: contains the life cycle inventories for battery production from secondary materials.</li> <li><strong>03_active_material</strong>: contains the life cycle inventories for the active battery materials from primary materials.</li> <li><strong>04_active_material</strong>: contains the life cycle inventories for the active battery materials from secondary materials.</li> </ul> <p> </p> <p><strong>02_recycling: </strong>contains the necessary inventories for battery recycling.</p> <ul> <li><strong>01_process</strong>: contains the life cycle inventories for battery recycling.</li> <li><strong>02_intermediate</strong>: contains the life cycle inventories for the intermediate system for battery recycling.</li> <li><strong>03_output</strong>: contains the life cycle inventories for the resulting substances from battery recycling.</li> </ul> <h2>Summary</h2> <p>These files allow to reproduce the results of our study. Each file contains the life cycle inventory of one distinct battery capacity (20, 45, 68, 85, 95, 100 kWh) with a specific cell chemistry (LFP, NCA, NMC333, NMC532, NMC622, NMC811, NMC955) for battery production (based on Knehr et al. 2022) or for battery recycling (based on Blömeke et al. 2023).</p> <h2>Related publication</h2> <p>More details on the scientific context is provided in the publication itself:</p> <p><span>Ginster, R.</span>, <span>Blömeke, S.</span>, <span>Popien, J. L.</span>, <span>Scheller, C.</span>, <span>Cerdas, F.</span>, <span>Herrmann, C.</span>, & <span>Spengler, T. S.</span> (<span>2024</span>). <span>Circular battery production in the EU: Insights from integrating life cycle assessment into system dynamics modeling on recycled content and environmental impacts</span>. <em>Journal of Industrial Ecology</em>, <span>1</span>–<span>18</span>. <a href="https://doi.org/10.1111/jiec.13527">https://doi.org/10.1111/jiec.13527</a></p> <h2>Funding</h2> <p>This publication (Raphael Ginster and Steffen Blömeke) was created within the Research Training Group CircularLIB, supported by the Ministry of Science and Culture of Lower Saxony with funds from the program zukunft.niedersachsen of the Volkswagen Foundation (MWK | ZN3678).</p> <p>The publication on which this dataset is based were funded by the German Federal Ministry of Education and Research within the Competence Cluster Recycling & Green Battery (greenBatt) under the grant numbers 03XP0302A (Christian Scheller) and 03XP0331A (Jan-Linus Popien). The authors are responsible for the contents of this publication.</p>
Life Cycle Assessment Dataset for Kidney Care Environmental Optimisations within Haemodialysis
<p>This dataset supports a study on environmental optimizations in haemodialysis (HD) kidney care, focusing on reducing carbon emissions, water usage, and social impacts such as forced labour. It includes detailed analyses of interventions to improve sustainability across multiple domains:</p> <ol> <li> <p><strong>Travel Reduction</strong>: Data explores the impact of reducing patient travel distances by 10%, 50%, and 90%, highlighting significant greenhouse gas (GHG) emission savings (up to 2,540 kg CO2e per patient annually) and associated reductions in water usage and forced labour risks. Interventions include promoting home-based dialysis, telemedicine, and optimized patient facility allocation.</p> </li> <li> <p><strong>Water Management</strong>: The dataset documents innovations such as reclaiming reverse osmosis water for reuse, optimizing water treatment plant operations, and reducing water consumption during dialysis processes. Larger centres and daily operation schedules show better water efficiency compared to smaller, less frequent setups.</p> </li> <li> <p><strong>Waste Management</strong>: Data highlights strategies for diverting waste from clinical to domestic streams, recycling dialysis materials, and adopting advanced technologies like pyrolysis. These measures reduce the environmental and economic burden of waste disposal, including incineration costs.</p> </li> <li> <p><strong>Energy Optimizations</strong>: Included interventions cover energy-saving technologies such as heat exchangers in dialysis machines, solar panel installations, and IT system automation. Solar energy adoption demonstrates varied CO2e savings based on regional energy mixes.</p> </li> <li> <p><strong>Incremental Dialysis</strong>: Data supports the transition to incremental dialysis—starting with fewer weekly sessions—to preserve resources, reduce GHG emissions, and maintain residual kidney function, offering both environmental and clinical benefits.</p> </li> </ol> <p>Each intervention was assessed using Life Cycle Assessment (LCA) methodologies, with functional units based on annual HD use for one patient. Metrics include carbon dioxide equivalent emissions (CO2e), water deprivation, and forced labour hours, aligned with EU Product Environmental Footprint standards. The dataset provides comparative results to guide clinical sites in prioritizing high-impact interventions, offering actionable insights into sustainable HD care.</p>
Repository: Quantifying environmental impacts of primary aluminum ingot production and consumption: A trade-linked multilevel life cycle assessment
<p>This repository contains the input data, codes and results of the model developed in the paper "Quantifying environmental impacts of primary aluminum ingot production and consumption: A trade-linked multilevel life cycle assessment" published in the Journal of Industrial Ecology (2020) by Alexandre Milovanoff, I. Daniel Posen, Heather L. MacLean.</p>
POTENTIAL ENVIRONMENTAL IMPACTS OF SOLID WASTE MANAGEMENT IN YOGYAKARTA, INDONESIA: A COMPARATIVE STUDY USING LIFE CYCLE ASSESSMENT
<p>Life Cycle Assessment (LCA) serves as a tool to estimate the potential impacts of a waste management system. Sleman Regency needs a scenario of waste management with a lower environmental impact. The present study aims to determine the potential impact of the existing business as usual (BAU) waste management practice in Sleman Regency and compare it with several alternatives to waste management strategies. The LCA method was applied following ISO 14040 and ISO 14044 standards. The impact was assessed using the CML-1A Baseline and ILCD 2011 Midpoint+ methods, along with data from the Ecoinvent database. In the BAU scenario, the impact values observed in every 1 ton of waste managed were Global Warming Potential (GWP) of 4.90E+03 kg CO2 eq, Acidification Potential (ADP) of 2.78E-03 kg SO2 eq, Eutrophication Potential (EP) of 4.92E-02 kg PO4-eq, Human Toxicity Potential (HTP) of 2.06E+01 kg 1.4 DB eq, and Land Use Potential (LUP) of 4.71E+01 kg C deficit. Processing waste into biomass pellets and Refuse Derived Fuel accompanied by waste reduction could decrease the GWP value to 34.04 kg CO2 eq, ADP to 2.96E-06 kg SO2 eq, EP to 7.33E-05 kg PO4-eq, HTP to 3.70E-04 kg 1.4 DB eq, and LUP to 2.11E-03 kg C deficit. The results of waste management with the lowest impact value can serve as a reference for formulating waste management policies in the study area.</p>
Scenario data for article: Effects of the energy transition on environmental impacts of cobalt supply: A prospective Life Cycle Assessment study on future supply of cobalt
<p>This dataset contains the background data for the paper '<a href="https://onlinelibrary.wiley.com/doi/10.1111/jiec.13258">Effects of the energy transition on environmental impacts of the cobalt supply: A prospective Life Cycle Assessment study on the future cobalt supply</a>' as published in the Journal of Industrial Ecology.</p> <p><strong>Please note that an easier to use version of this data for LCA is available through the Premise (<a href="https://www.sciencedirect.com/science/article/pii/S136403212200226X">Sacchi et al. 2022</a>) Community Scenarios <a href="https://github.com/premise-community-scenarios/cobalt-perspective-2050">here</a>.</strong> This version is slightly adapted to fit into the Premise architecture and is compatible with ecoinvent v3.8 cutoff.</p> <p>This repository contains:</p> <ul> <li>Python code + readme to model the variables, generate presamples packages and generate LCA results based on those. (code folder)</li> <li>Input and output data for Variables 1-3 (files 1&2)</li> <li>Presamples excel sheets for each variable/scenario combination (file 3)</li> <li>Summarized LCA results (the full results can be generated through running the code provided) (file 4)</li> <li>Full LCA results used for the contribution analysis (file 5)</li> <li>Underlying data for each of the figures (file 6)</li> </ul> <p>We refer to the paper (linked above) for more information on the study.<br> </p> <p><strong>License: </strong>The metal supply scenario data is licensed under the CC-BY 4.0 license.</p> <p><strong>Access: </strong>Open access</p> <p> </p> <p>[Changelog]</p> <p>2023-03-23 - 1.3.1: Add link to Premise Community scenario page.<br> 2022-05-18 - 1.3.0: Fix minor error in data files '4 - LCA results' and '6 - Figure data' in demand amounts for total impacts.<br> 2022-04-06 - 1.2.1: Included link to article after publication<br> 2022-03-30 - 1.2.0: Included underlying figure data<br> 2022-01-24 - 1.1.1: Opened repository after paper acceptance<br> 2021-11-26 - 1.1.0: Update of code to comply with peer-review<br> 2021-07-12 - 1.0.0: Set-up of repository</p>
Datasets and OpenLCA foreground data processes for the article: Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment
<p>This data set contains the supplementary data sets (1-3) and exported foreground data processes from OpenLCA for the manuscript “Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment”, submitted to Nature Energy.</p> <p>This repository contains:</p> <ul> <li>Supplementary data set 1: Ancillary calculations and numerical values for HT-Aq DAC</li> <li>Supplementary data set 2: Ancillary calculations and numerical values for TSA DAC</li> <li>Supplementary data set 3: Ancillary calculations and numerical values shown in plots and table 3</li> <li>Foreground data from OpenLCA. OpenLCA process model for different cases of HT-Aq DAC and TSA DAC. To re-run the LCA calculations, OpenLCA (freeware) and the Ecoinvent 3.5 database (license required) need to be installed on a standard desktop computer or laptop with at least 8 GB RAM.</li> </ul>
START Workshop - Use of Life Cycle Assessment as an Environmental Impact Tool
<p>Video from an internal workshop on Life Cycle Assessment that was held in June 2023 by 3drivers (speakers were Eduardo Santos and Ana Braga) as a basic training for other consortium members, with the goal of creating a common ground among partners for the subsequent environmental impact assessment activities that START will carry out on the thermoelectric solutions that will be delivered.</p> <p>The video is related to the general introduction given by E. Santos on the basics of the LCA approach and applications. It may be useful to you if new to the topic.</p>
Environmental Life Cycle Assessment Video
<p>A set of explanatory videos was produced about sustainability analysis within the project, including Environmental Life Cycle Assessment, Social Life Cycle Assessment, and Life Cycle Costing. These informational videos were primarily produced for the International School on Water Reuse held at the Chemistry Department of the Torino University in Italy in late September 2022, but they were also placed on the project website and circulated on social media.</p>
Data for: Socio-economic and environmental life cycle assessment of complete streets
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Supporting Information: Environmental benefits of large-scale second-generation bioethanol production in the EU: An integrated supply chain network optimization and Life Cycle Assessment approache
<p>This supporting information provides all input data of the model, the assumptions made and the literature and database references for the publication<em> Environmental benefits of large-scale second-generation bioethanol production in the EU: An integrated supply chain network optimization and Life Cycle Assessment approache</em>. The environmental data is based on life cycle assessments, with full information on the life cycle inventory and the results of the life cycle impact assessment based on the ReCiPe method. It also includes detailed results for all objective functions in all scenarios (optimization of 18 midpoints, 3 endpoints, and economic optimization in 5 tax scenarios and 2 feedstock scenarios), and detailed results of the sensitivity analysis and Pareto optimization.</p>
Future Projections and Life Cycle Assessment of End-of-life Tires to Energy Conversion in Hong Kong: Environmental, Climate and Energy Benefits for Regional Sustainability
<p>The dataset presents the findings of the study "Future Projections and Lifecycle Assessment of End-of-life Tires to Energy Conversion in Hong Kong: Environmental, Climate and Energy Benefits for Regional Sustainability". The data results are contained in the files "Results_data.xlsx" and "LCIs and LCA results.zip," while the "Figures data.xlsx" file includes the data needed for plotting. </p>
Performance and environmental accounting of nutrient cycling models to estimate nitrogen emissions in agriculture and their sensitivity in life cycle assessment
<p>Abstract</p> <p>Purpose</p> <p>Several models are available in the literature to estimate agricultural emissions. From life cycle assessment (LCA) perspective, there is no standardized procedure for estimating emissions of nitrogen or other nutrients. This article aims to compare four agricultural models (PEF, SALCA, Daisy and Animo) with different complexity levels and test their suitability and sensitivity in LCA.</p> <p>Methods</p> <p>Required input data, obtained outputs, and main characteristics of the models are presented. Then, the performance of the models was evaluated according to their potential feasibility to be used in estimating nitrogen emissions in LCA using an adapted version of the criteria proposed by the United Nations Framework Convention on Climate Change (UNFCCC), and other relevant studies, to judge their suitability in LCA. Finally, nitrogen emissions from a case study of irrigated maize in Spain were estimated using the selected models and were tested in a full LCA to characterize the impacts.</p> <p>Results and discussion</p> <p>According to the set of criteria, the models scored, from best to worst: Daisy (77%), SALCA (74%), Animo (72%) and PEF (70%), being Daisy the most suitable model to LCA framework. Regarding the case study, the estimated emissions agreed to literature data for the irrigated corn crop in Spain and the Mediterranean, except N<sub>2</sub>O emissions. The impact characterization showed differences of up to 56% for the most relevant impact categories when considering nitrogen emissions. Additionally, an overview of the models used to estimate nitrogen emissions in LCA studies showed that many models have been used, but not always in a suitable or justified manner.</p> <p>Conclusions</p> <p>Although mechanistic models are more laborious, mainly due to the amount of input data required, this study shows that Daisy could be a suitable model to estimate emissions when fertilizer application is relevant for the environmental study. In addition, and due to LCA urgently needing a solid methodology to estimate nitrogen emissions, mechanistic models such as Daisy could be used to estimate default values for different archetype scenarios.</p>
Evaluating the Environmental Efficiency of Bioplastics using Advanced Life Cycle Assessment
<p>This repository contains 3 datasets that pertain to a doctoral thesis with the above title.</p>
Dataset of paper "Environmental life cycle assessment of UV-C LEDs vs. mercury lamps and oxidant selection for diclofenac degradation"
<p>Dataset of paper "Environmental life cycle assessment of UV-C LEDs vs. mercury lamps and oxidant selection for diclofenac degradation":</p> <ul> <li><span><span>Absolute impact across all categories of the Environmental Footprint (EF) for each treatment and scenario </span></span></li> <li><span><span>Relative impacts as percentages </span></span></li> </ul>
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