Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa

Dataset Name:
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.

Description:
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.

Files:
The following files are included in the dataset:

•     [CountryName]_LiteratureSources.xlsx: Excel sheet containing literature sources and references,
•     [CountryName]_ArchetypeParameters.xlsx: Archetype models' semantic, geometric, and technical data used in the generation of energy models,
•     VacantHouses.xlsx: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,
•     Resource Use Results: BuildME Simulation Results

Usage:
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.

License:
The dataset is licensed under Creative Commons Attribution 4.0 International.

Citation:
If you use this dataset in your research, please cite it as follows and contact the corresponding author:

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.

Contact:
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 sahin.akin@ntnu.no, the corresponding author.