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2 results for “green steel”
Decarbonizing primary steel production : Techno-economic assessment of green steel production in Norway
<p>Python codes for the modelling of a grid connected Hydrogen direct reduced plant combined with an electrical arc furnace for steel production. </p>
Exiobase HYBRID | Green steel version
<h2>Description</h2> <p>This repository contains all data and code to extend the <a href="../records/10148587" target="_blank" rel="noopener">hybrid-units version of EXIOBASE</a> to account for new innovative steelmaking routes envisaged to be deployed in the EU to meet decarbonization targets for the steel industry. The new model was built by adopting the <a href="https://doi.org/10.5334/jors.473">MARIO</a> open-source framework. </p> <p>The database is an improved version of the one described in the following open-access paper (DOI: <a href="https://doi.org/10.1088/1748-9326/ad5bf1">https://doi.org/10.1088/1748-9326/ad5bf1</a>)</p> <h2>What's new</h2> <ul> <li>The new technologies have been characterized for all regions, assuming each inventory to be the same in all regions but differentiated by regional import patterns of each commodity.</li> <li>A slight aggregation on electricity production activities and commodities have been also performed, to nowcast electricity production mixes to 2024 based on <a href="https://ember-climate.org/data/data-tools/data-explorer/">Ember data.</a> Data from Ember have been rearranged to calculate electricity mixes by year and Exiobase regions</li> <li>The list of steel production technologies have been extended. Full list in the table below</li> </ul> <p>The database implements in the EU the following new activities and commodities:</p> <table> <tbody> <tr> <td><strong>New activities</strong></td> <td><strong>New commodities</strong></td> </tr> <tr> <td>Manufacturing of steam reformer</td> <td>Steam reformer</td> </tr> <tr> <td>Manufacturing of electrolyser</td> <td>Electrolyser</td> </tr> <tr> <td>Hydrogen production with steam reforming</td> <td>Steam reforming hydrogen</td> </tr> <tr> <td>Hydrogen production with electrolysis</td> <td>Electrolysis hydrogen</td> </tr> <tr> <td>DRI-EAF-NG</td> <td> </td> </tr> <tr> <td>DRI-EAF-NG-CCS</td> <td> </td> </tr> <tr> <td>DRI-EAF-COAL</td> <td> </td> </tr> <tr> <td>DRI-EAF-COAL-CCS</td> <td> </td> </tr> <tr> <td>DRI-EAF-H2</td> <td> </td> </tr> <tr> <td>DRI-EAF-BECCS</td> <td> </td> </tr> <tr> <td>DRI-SAF-BOF-NG</td> <td> </td> </tr> <tr> <td>DRI-SAF-BOF-H2</td> <td> </td> </tr> <tr> <td>DRI-SAF-BOF-BECCS</td> <td> </td> </tr> <tr> <td>SR-BOF</td> <td> </td> </tr> <tr> <td>SR-BOF-CCS</td> <td> </td> </tr> <tr> <td>BF-BOF-CCS-73%</td> <td> </td> </tr> <tr> <td>BF-BOF-CCS-86%</td> <td> </td> </tr> <tr> <td>BF-BOF-BECCSmax</td> <td> </td> </tr> <tr> <td>BF-BOF-BECCSmin</td> <td> </td> </tr> <tr> <td>AEL-EAF</td> <td> </td> </tr> <tr> <td>MOE</td> <td> </td> </tr> </tbody> </table> <p> </p> <p>Extended documentation of database adjustment and extension methodology available among the files in this repository. </p> <h2> </h2> <h2>Instructions</h2> <p>To use the database, please install MARIO following the <a href="https://mario-suite.readthedocs.io/en/latest/intro.html#installation">instructions.</a> The database can be parsed by using the following command<br><br></p> <div> <div>db = mario.parse_from_txt(</div> <div> path='PATH/TO/THE/FOLDER/WHERE/DATA/FROM/THIS/REPOSITORY/ARE/STORED',</div> <div> mode='coefficients',</div> <div> table='SUT',</div> <div>)</div> </div> <p> </p>
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