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11 results for “carbon capture and storage”
Dataset and code: One-tenth of EU's biomethane potential combined with carbon capture and storage can shift the region's ammonia production to net-zero
<h2>Overview</h2> <p>Repository to share the data and code associated with the scientific article <strong>Istrate et al. One-tenth of EU’s biomethane potential combined with carbon capture and storage can shift the region’s ammonia production to net-zero. One Earth (2024)</strong>. The repository contains data files and code to import the life cycle inventories (LCIs), reproduce the results, and generate the figures presented in the article.</p> <div> <h2>Repository structure</h2> </div> <p>The data folder includes:</p> <ul> <li><code>inventories.xlsx</code> contains the LCI datasets for biomethane and ammonia production formatted for use with <a href="https://github.com/brightway-lca">Brightway</a>.</li> <li><code>sustainable_biomethane_potential_Europe.xlsx</code> contains data on the sustainable biomethane potential in Europe disaggregated by feedstock and country.</li> <li><code>ammonia_production_europe.xlsx</code> contains ammonia production levels in the EU in 2021.</li> <li><code>SA_methane leakage_for presample.xlsx</code> contains data to perform sensitivity analysis on the methane leakage with <a href="https://github.com/PascalLesage/presamples">presamples</a></li> <li><code>SA_upgrading technology_presamples.xlsx</code> contains data to perform sensitivity analysis on upgrading technologies with <a href="https://github.com/PascalLesage/presamples">presamples</a></li> <li><code>results</code> folder within data contains csv files with the results, which are used in <code>05_visualization.ipynb</code> for analysis and visualization purposes.</li> </ul> <p>The notebooks folder includes:</p> <ul> <li><code>01_project_setup.ipynb</code> sets up a new Brightway project and imports the ecoinvent database.</li> <li><code>02_lci.ipynb</code> imports the LCIs and regionalize some datasets (e.g., biomethane supply based on the bimethane potential).</li> <li><code>03_lcia.ipynb</code> calculates life cycle impacts and all the additional results presented in the paper (e.g., calculation of blending ratios).</li> <li><code>04_sensitivity_analysis.ipynb</code> performs the sensitivity analysis.</li> <li><code>05_visualization.ipynb</code> imports all results and generates the figures presented in the scientific article.</li> </ul> <p>The src folder contains supporting functions required to regionalize LCIs and perform the calculations.</p> <div> <h2>How to get propertary data</h2> </div> <p>Some of the LCI datasets in the <code>inventories.xlsx</code> file are partially based on data from the ecoinvent LCI database. To comply with licensing requirements, the file shared in this repository does not include these data points. If you hold a valid ecoinvent license, please contact me directly to receive the full input files containing all ecoinvent data points.</p> <h2>Contact</h2> <p>Robert Istrate: i.r.istrate@cml.leidenuniv.nl</p>
Webinar: Reducing Industrial Carbon Emissions. Carbon capture, utilisation, and storage technologies
<p>The EU recently set unprecedented goals in terms of reducing emissions (-55% by 2030, climate neutrality by 2050). Solutions such as carbon capture, utilisation and storage, or “CCUS”, involve capturing CO2 from industrial plants or installations, transporting it to designated sites, and injecting it into geological formations, making it extremely relevant to face this ambitious, but necessary challenge.</p> <p>This webinar shared some the latest advances in CCUS. The research project cluster on <strong>Better Carbon Capture for Industrial Emissions</strong> is formed by three EU-funded projects: <strong><a href="http://www.cleanker.eu/">CLEANKER</a></strong>, <strong><a href="http://www.realiseccus.eu/">REALISE CCUS</a></strong>, and <strong><a href="http://www.c4u-project.eu/">C4U</a></strong>, and are advancing the state of the art and reducing emissions from industrial plants directly focussing on three different sectors: cement, refineries and steel.</p> <p>Experts from these EU-backed projects showcased the technological approaches, their financial feasibility, and how their approaches in implementing CCUS have shown up to 90% reduction in CO2 emissions in certain plants. Policy aspects that have an effect on the implementation of CCUS were discussed.</p>
Data and code for: Combining eddy covariance towers, field measurements, and the MEMS 2 ecosystem model improves confidence in the climate impacts of bioenergy with carbon capture and storage
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Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways: supporting data
<p>This provides supporting data for the paper, <em><strong>Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways</strong></em>, published in <em>One Earth</em>. The full paper can be accessed at the following DOI: https://doi.org/10.1016/j.oneear.2021.10.024, published on the 19th November 2021.</p>
Raw dataset for Can bioenergy with carbon capture and storage result in carbon negative steel?
<p>This repository contains the raw data and code used to generate the results in the paper:</p> <p>Tanzer, S.E., Blok, K., Ramírez, A., 2020. Can bioenergy with carbon capture and storage result in carbon negative steel? International Journal of Greenhouse Gas Control, 100. doi:10.1016/j.ijggc.2020.103104.</p> <p>also published as chapter 5 in the PhD dissertation ”Negative Emissions in the Industrial Sector”. The PhD was the department of Engineering Systems and Services, Faculty of Technology Policy, Management at the Delft University of Technology, between 2017-2022. </p> <p>This is intended to be a record of the exact data and code used to generate the results and graphics used in this publication. It is not necessarily designed for user-friendliness or tested to work on other machines and may contain extraneous data and files.</p> <p>To make use of the python black box modelling library for your own work, please check out the most recent public release, which can be found at https://zenodo.org/record/5800104#.YjUTnC8w30o</p>
Supplementary data as part of the article "The role of carbon capture, utilization and storage for economic pathways that limit global warming to below 1.5 °C" (https://doi.org/10.1016/j.isci.2022.104237).
<p>Data of the plots in Figure 1a and Figure 1b, showing, respectively, the incremental and the integrated global CO<sub>2</sub> emissions for the 1.5 °C-committed decarbonization pathways from IPCC (P1, P2, P3, and P4 pathways) and the one originally obtained in this work (Q pathway).</p>
Data set for "Stabilization of nesquehonite for application in carbon capture utilization and storage"
<p>The dataset contains all relavent raw data from the study titile, "Stabilization of nesquehonite for application in carbon capture utilization and storage". </p>
Codes for "Co-firing biomass and coal with retrofitted carbon capture and storage ease China to achieve carbon neutrality and net negative carbon in power sector"
<p>Codes for “Co-firing biomass and coal with retrofitted carbon capture and storage ease China to achieve carbon neutrality and net negative carbon in power sector”</p>
Code and data for the article "Feasible deployment of carbon capture and storage and the requirements of climate targets"
<p>Here, we present data and code for our study “Feasible deployment of carbon capture and storage and the requirements of climate targets” (2024), where we project feasible ranges of carbon capture and storage (CCS) deployment in this century based on historical evidence of CCS deployment and other policy-driven technologies.</p>
Breaking Barriers to Carbon Capture and Storage: An Integrated Analysis of Scope, Information and Familiarity Effects on Willingness to Pay
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Carbon Capture, Utilisation and Storage systems analysis through cognitive mapping - elicitation process
<p>Carbon Capture, Utilisation and Storage (CCUS) projects are complex systems due to their multistakeholder and multisectoral nature. Therefore, We consider it crucial to propose a holistic approach to evaluate CCUS systems by using participatory processes to capture the complexity between technical, environmental and social structures interaction. We can achieve this by building cognitive maps, which represent people's knowledge and perceptions of CCUS projects.</p> <p>In CCUS systems, we deal with complex problems involving many parties and conditions without a unique or suitable solution for projects implementation. Albeit many components interact in the projects, we can select the most representative to represent the system. This research seeks to collect various cognitive maps from different stakeholders, which will be integrated later to analyse how physical-technical components interact with socio-political ones.</p> <p> </p>
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