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4 results for “building archetype”
Energy and cost calculations for retrofitting packages based on Tabula building archetypes in the Netherlands
<div> <div> <div> <div> <p>The dataset contains detailed energy and cost calculations for various retrofitting packages applied to different Tabula building archetypes in the Netherlands. The energy balance calculations are structured by building type and age categories, such as DH (detached house) and SD (semi-detached house) from different time periods (e.g., 1965-1974). The sheets include calculations of existing building performance, proposed retrofit scenarios, and associated energy savings. Cost breakdowns are provided for each retrofit option, detailing specific construction costs, taxes, and subsidies available for each scenario. This comprehensive dataset integrates both the technical (energy savings and U-values) and financial (costs and subsidies) aspects of retrofitting to provide a holistic view of retrofitting strategies in the Netherlands. </p> </div> </div> </div> </div> <div> <div> <div> </div> </div> </div>
Data Sources for Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries
<p><strong>Dataset Name:</strong><br> <em>Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries</em>.</p> <p><strong>Description:</strong><br> This dataset includes Excel sheets containing literature sources and archetypal data on GCC countries' residential dwelling typologies.</p> <p><strong>Files:</strong><br> The following files are included in the dataset:</p> <ul> <li> <em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li> <em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models' semantic, geometric, and technical data used in the generation of energy models,</li> <li> <em>[CountryName]_Schedules.xlsx:</em> Excel sheet containing the operation schedules for countries. The sheet is compiled from literature sources and reorganized by expert consensus and given in Designbuilder input format,</li> <li> <em>[CountryName]_Stock.xlsx:</em> Excel sheet containing additional data on the building stock,</li> <li><em> VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> </ul> <p><strong>Usage:</strong><br> The dataset is intended for researching and analyzing the GCC countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br> The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br> If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Chibuikem Chrysogonus Nwagwu, Niko Heeren, and Edgar Hertwich. 2023. “Archetype-Based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries.” Energy and Buildings 298: 113537. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113537.</p> <p><strong>Contact:</strong><br> The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></p>
Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa
<p><strong>Dataset Name:</strong><br><em>Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa.</em></p> <p><strong>Description:</strong><br>This dataset includes Excel sheets containing literature sources and archetypal data on Western Asian and North African countries' residential dwelling typologies. As well as Vacancy rates used and simulation results.</p> <p><strong>Files:</strong><br>The following files are included in the dataset:</p> <ul> <li> <em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li> <em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models' semantic, geometric, and technical data used in the generation of energy models,</li> <li><em> VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> <li> <em>Resource Use Results:</em> BuildME Simulation Results</li> </ul> <p><strong>Usage:</strong><br>The dataset is intended for researching and analyzing the Western Asian and North African countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br>The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br>If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Aida Eghbali, Chibuikem Chrysogonus Nwagwu, and Edgar Hertwich. 2024. “Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa” https://doi.org/10.5281/zenodo.13380340.</p> <p><strong>Contact:</strong><br>The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></p>
ETHOS.BUILDA: Residential Building TABULA Archetype Dataset Germany
<h2>Introduction</h2> <p>This dataset contains all residential buildings in Germany with their construction year, size class, refurbishment state, and <a href="https://episcope.eu/iee-project/tabula/">TABULA archetype</a>. It is a partial dump of the ETHOS.BUILDA database (version v8_20240916). ETHOS.BUILDA is a database containing building-level data for the German building stock. It is based on various data sources that are combined and enriched with machine learning approaches to generate one consistent and complete building dataset. </p> <p>ETHOS.BUILDA is made available under the <a href="http://opendatacommons.org/licenses/odbl/1.0" target="_blank" rel="noopener">Open Database License (ODbL)</a>. The licenses of the contents of the database depend on the data source. The sources of the building attributes and information on the type of processing that was done to assign the information from the raw data to the building in ETHOS.BUILDA are provided for each individual data point.</p> <h2>Data structure and file overview</h2> <p>Building data is provided per federal state, the files are named according to the <a href="https://en.wikipedia.org/wiki/NUTS_statistical_regions_of_Germany" target="_blank" rel="noopener">NUTS-1</a> region names. The building data has the following fields:</p> <table> <tbody> <tr> <td><strong>field name</strong></td> <td><strong>description</strong></td> </tr> <tr> <td>ID</td> <td>unique identifier of the building</td> </tr> <tr> <td>position</td> <td>location of building centroid in WKT-format, EPSG:3035</td> </tr> <tr> <td>construction_year</td> <td> <p>value: construction year, </p> <p>source: source of the construction year data,</p> <p>lineage: construction year assignment method</p> </td> </tr> <tr> <td>size_class</td> <td> <p>value: size class of the building, </p> <p>source: source of the size class data,</p> <p>lineage: size class assignment method</p> </td> </tr> <tr> <td>refurbishment_state</td> <td> <p>value: refurbishment state of the building, </p> <p>source: source of the refurbishment state data,</p> <p>lineage: refurbishment state assignment method</p> </td> </tr> <tr> <td>tabula_type</td> <td> <p>value: TABULA type of the building, </p> <p>source: source of the TABULA data,</p> <p>lineage: TABULA type assignment method</p> </td> </tr> </tbody> </table> <p>A mapping of the abbreviations of "source" and "lineage" of individual data points to the descriptions is provided in sources.csv and lineages.csv. There is no entry for the source "v3_model.json", as it refers to the internally trained machine learning model for the respective attribute and not to an external data source.</p> <p>The full footprint polygons from which the centroids are derived and the sources of the footprints are found in the related dataset linked as "is supplemented by".</p> <h2>Acknowledgements</h2> <p>This work was supported by the Helmholtz Association under the program "Energy System Design". </p> <p>Furthermore, the authors would like to express their gratitude to the Federal Ministry for Economic Affairs and Climate Action (BMWK.IIB4) for providing the necessary resources to conduct this study. Our research was supported by the WAAGE Grant Program (Grant No. 03EI1044/03EE 5031D), and we appreciate their financial assistance.</p>
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