Urban residential building stock synthetic datasets for building energy performance analysis
The urban building stock dataset consists of synthetic input and output data for the energy simulation of one million buildings. The dataset consists of four different residential types, namely: terraced, detached, semi-detached, and bungalow. Constructing this buildings dataset requires conversion,...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924002129 |
| _version_ | 1797256382383128576 |
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| author | Usman Ali Sobia Bano Mohammad Haris Shamsi Divyanshu Sood Cathal Hoare Wangda Zuo Neil Hewitt James O'Donnell |
| author_facet | Usman Ali Sobia Bano Mohammad Haris Shamsi Divyanshu Sood Cathal Hoare Wangda Zuo Neil Hewitt James O'Donnell |
| author_sort | Usman Ali |
| collection | DOAJ |
| description | The urban building stock dataset consists of synthetic input and output data for the energy simulation of one million buildings. The dataset consists of four different residential types, namely: terraced, detached, semi-detached, and bungalow. Constructing this buildings dataset requires conversion, categorization, extraction, and analytical processes. The dataset (in .csv) format comprises 19 input parameters, including advanced features such as HVAC system parameters, building fabric (walls, roofs, floors, door, and windows) U-values, and renewable system parameters. The primary output parameter in the dataset is Energy Use Intensity (EUI in kWh/(m2*year)), along with Energy Performance Certificate (EPC) labels categorized on an A to G rating scale. Additionally, the dataset contains end-use demand output parameters for heating and lighting, which are crucial output parameters. jEPlus, a parametric tool, is coupled with EnergyPlus and DesignBuilder templates to facilitate physics-based parametric simulations for generating the dataset. The dataset can be a valuable resource for researchers, practitioners, and policymakers seeking to enhance sustainability and efficiency in urban building environments. Furthermore, dataset holds immense potential for future research in the field of building energy analysis and modeling. |
| first_indexed | 2024-03-07T19:09:52Z |
| format | Article |
| id | doaj.art-f104dd7d300c4da693428bb17723ffe8 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-24T22:20:51Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-f104dd7d300c4da693428bb17723ffe82024-03-20T06:10:15ZengElsevierData in Brief2352-34092024-04-0153110241Urban residential building stock synthetic datasets for building energy performance analysisUsman Ali0Sobia Bano1Mohammad Haris Shamsi2Divyanshu Sood3Cathal Hoare4Wangda Zuo5Neil Hewitt6James O'Donnell7School of Mechanical and Materials Engineering and UCD Energy Institute, UCD, Dublin, Ireland; Corresponding author.School of Mechanical and Materials Engineering and UCD Energy Institute, UCD, Dublin, IrelandFlemish Institute for Technological Research (VITO), Boeretang Mol, BelgiumSchool of Mechanical and Materials Engineering and UCD Energy Institute, UCD, Dublin, IrelandSchool of Mechanical and Materials Engineering and UCD Energy Institute, UCD, Dublin, IrelandPennsylvania State University, University Park, PA, USASchool of Architecture and The Built Environment, Ulster University, Belfast, UKSchool of Mechanical and Materials Engineering and UCD Energy Institute, UCD, Dublin, IrelandThe urban building stock dataset consists of synthetic input and output data for the energy simulation of one million buildings. The dataset consists of four different residential types, namely: terraced, detached, semi-detached, and bungalow. Constructing this buildings dataset requires conversion, categorization, extraction, and analytical processes. The dataset (in .csv) format comprises 19 input parameters, including advanced features such as HVAC system parameters, building fabric (walls, roofs, floors, door, and windows) U-values, and renewable system parameters. The primary output parameter in the dataset is Energy Use Intensity (EUI in kWh/(m2*year)), along with Energy Performance Certificate (EPC) labels categorized on an A to G rating scale. Additionally, the dataset contains end-use demand output parameters for heating and lighting, which are crucial output parameters. jEPlus, a parametric tool, is coupled with EnergyPlus and DesignBuilder templates to facilitate physics-based parametric simulations for generating the dataset. The dataset can be a valuable resource for researchers, practitioners, and policymakers seeking to enhance sustainability and efficiency in urban building environments. Furthermore, dataset holds immense potential for future research in the field of building energy analysis and modeling.http://www.sciencedirect.com/science/article/pii/S2352340924002129Building energy performanceUrban building energy modelingBuilding retrofitBuilding features |
| spellingShingle | Usman Ali Sobia Bano Mohammad Haris Shamsi Divyanshu Sood Cathal Hoare Wangda Zuo Neil Hewitt James O'Donnell Urban residential building stock synthetic datasets for building energy performance analysis Data in Brief Building energy performance Urban building energy modeling Building retrofit Building features |
| title | Urban residential building stock synthetic datasets for building energy performance analysis |
| title_full | Urban residential building stock synthetic datasets for building energy performance analysis |
| title_fullStr | Urban residential building stock synthetic datasets for building energy performance analysis |
| title_full_unstemmed | Urban residential building stock synthetic datasets for building energy performance analysis |
| title_short | Urban residential building stock synthetic datasets for building energy performance analysis |
| title_sort | urban residential building stock synthetic datasets for building energy performance analysis |
| topic | Building energy performance Urban building energy modeling Building retrofit Building features |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924002129 |
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