TY - JOUR
T1 - Urban residential building stock synthetic datasets for building energy performance analysis
AU - Ali, Usman
AU - Bano, Sobia
AU - Shamsi, Mohammad Haris
AU - Sood, Divyanshu
AU - Hoare, Cathal
AU - Zuo, Wangda
AU - Hewitt, Neil
AU - O'Donnell, James
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/4
Y1 - 2024/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85186612531&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186612531&partnerID=8YFLogxK
U2 - 10.1016/j.dib.2024.110241
DO - 10.1016/j.dib.2024.110241
M3 - Article
C2 - 38439993
AN - SCOPUS:85186612531
SN - 2352-3409
VL - 53
JO - Data in Brief
JF - Data in Brief
M1 - 110241
ER -