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9 results for “Life Cycle Assessment data”

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zenodo40/100

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 &#39;<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>&#39; 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&amp;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> &nbsp;</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>&nbsp;</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 &#39;4 - LCA results&#39; and &#39;6 - Figure data&#39; 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>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Hybrid Life-Cycle Assessment Literature Review Data

<p>Results from a literature review of hybrid life-cycle assessment. Details the underestimation of purely process-based life-cycle assessment and the diversity in terminology used by authors.</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

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 &ldquo;Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment&rdquo;, 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>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Data set for the journal article: Social life cycle assessment of green methanol and benchmarking against conventional fossil methanol

<p>Single File containing:</p> <ul> <li>Green Methanol Inventories: numerical data as displayed in Figure 4,&nbsp;Main social life cycle inventory data of the green methanol system.&nbsp;</li> <li>Conventional Methanol Inventories:&nbsp;numerical data as displayed in Figure 5,&nbsp;Main social life cycle inventory data of the conventional&nbsp;methanol system.&nbsp;</li> <li>Supplementary information: Diagrams and tables describing teh flowsheet of the simulations used in this work: <ul> <li> <p>Green methanol production process (flowsheet and stream table)</p> </li> <li> <p>Syngas production through Steam Methane Reforming (flowsheet and stream table)</p> </li> <li> <p>Conventional methanol production process (flowsheet and stream table)</p> </li> </ul> </li> </ul>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Codes and data for the article: Biodiversity on the Line: Life Cycle Impact Assessment of Power Lines on Birds and Mammals in Norway

<p>This repository contains all input data required to run the habitat conversion, collision, and electrocution LCIA models and reproduce the results, as well as all output data generated in various formats. The models are described in the paper "Biodiversity on the Line: Life Cycle Impact Assessment of Power Lines on Birds and Mammals in Norway" (https://doi.org/10.1088/2634-4505/ad5bfd).</p> <p>"The files "01_Get_GBIF_points.R, "02_SDMs_maxent.R" describe how to create the species distribution maps.</p> <p>"03_Data_preparation.R", "04_Pylon_cleaning.py" are to prepare and modify the raw data for the analysis. The raw data are not provided, yet links to the sources are provided either in the R codes or the paper.</p> <p>To run the models, run the "05_SHR_modelling.R" and "06_Collision_electrocution_models.R" files.</p> <p>To calculate characterization factors, run the "07_Characterisation_factors.R" file.</p> <p>To export the tables in the Supporting Information 1, run the file "08_Supporting_Information.R".</p> <p>Finally, the file "09_Sensitivity_analysis.R" performs the sensitivity analyses.</p>

opencc-by-4.0Sep 2024View details →
dryad36/100

Data for: Socio-economic and environmental life cycle assessment of complete streets

Open the record for dataset details and reuse information.

publicJul 2022View details →
zenodo28/100

Supplementary data for Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions

<p>This dataset contains supplementary data for &quot;Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions&quot; DOI:&nbsp;<strong>10.1016/j.oneear.2022.03.009</strong>.</p> <p>S1-S10 contains life-cycle inventories of solid oxide fuel cells, molten carbonate fuel cells, phosphoric acid fuel cells, and proton exchange membrane fuel cells with either natural gas or wind-electrolysis hydrogen as a feedstock.</p> <p>S11-S13 contains technological information of coal-fired power plants in China</p>

opencc-by-4.0Mar 2022View details →
dryad28/100

Data from: Regionally expanded life cycle assessment

Open the record for dataset details and reuse information.

publicSep 2024View details →
zenodo16/100

Data from: "Integrating variability in life cycle assessments of products, cities, and sectors"

<p>In my thesis "Integrating variability in life cycle assessments of products, cities, and sectors", I aimed to integrate sources of variability in the life cycle assessments of products, cities, and sectors. In this data repository, data underlying the findings of Chapters 2 and 5 were published.</p><p>In Chapter 2, the mitigation potential of a new chemical agent used for tire manufacturing was investigated. ZnO nanoparticles anchored on SiO2 NPs (ZnO@SiO2) is a new vulcanization activator currently being developed at the pilot scale to minimize environmental impacts by decreasing the zinc content and rolling resistance of tires. We assessed the environmental impacts of synthesizing and utilizing ZnO@SiO2 on human health, ecosystems, and resource scarcity. Prospective LCA was used to integrate temporal variability and forecast the environmental impacts of the synthesis at the industrial scale. Two industrial predictions were made based on two sets of experimental data available at TRLs 5 and 6. Explorative scenarios were used to estimate the environmental consequences of using the new activator to manufacture tires.&nbsp;</p><p>In this repository, two sets of results were reported: (1) endpoint impacts for TRLs 5, 6, 9a, and 9b, per kg of activator synthesized and (2) endpoint impacts of an average passenger car tire and a tire made with the new activator.</p><p>In Chapter 5, the GHG footprints of economic sectors were assessed. Intermediate producer bear responsibility for emissions embodied in their supply chains. Environmental accounts describing the supply chain emissions of sectors at a local level and with granular sector aggregation are urgently needed to inform relevant policy action to drive climate change mitigation efforts at the regional level in the EU. We aimed to build such a dataset for the European Union (EU) and focused on quantifying the subnational variation of sector GHG supply chain emissions. We used an environmentally extended multi-region input-output (EEMRIO) analysis to examine the GHG footprints of 63 sectors in 264 subnational regions across the EU. This approach inherently integrated the spatial variability of the GHG footprints examined. We used a top-down MRIO database with subnational European information on production, and trade structures, accounting for trade inside and outside Europe. We added a subnational environmental extension for GHG emissions from an air emission database at the NUTS 2 level.&nbsp;</p><p>In this repository, the dataset created for the study was published, including the supply chain emissions reported per sector and region.</p>

restrictedcc-by-4.0Nov 2023View details →

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