Dataset for "Multi-objective optimisation of urban courtyard blocks in hot arid zones"
This dataset supports the study on the relationship between the design parameters, namely, individual building heights, interspaces, and orientation, and both outdoor thermal comfort and cooling loads of urban courtyard blocks in Cairo, Egypt. The study uses Grasshopper for Rhino3D and its environmental plugins, Ladybug-tools, as well as the multi-objective optimisation plugin, Octopus, to analyse thermal comfort represented by the Universal Thermal Climate Index (UTCI) along with cooling loads in MWh of thousands of courtyard block configurations. The data files include the raw data as produced by the search algorithm, and recorded in Grasshopper, the refined data excluding duplicates, data for the Pareto optimal sets, as well as the processed data.
Cite this dataset as:
Ibrahim, Y.,
2022.
Dataset for "Multi-objective optimisation of urban courtyard blocks in hot arid zones".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01137.
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Data
Type_A_dup.csv
text/plain (282kB)
Creative Commons: Attribution 4.0
Type A - Raw data with duplicates
Type_A_exc_dup.csv
text/plain (117kB)
Creative Commons: Attribution 4.0
Type A - Refined data excluding duplicates
Type_A_Pareto.csv
text/plain (3kB)
Creative Commons: Attribution 4.0
Type A - Pareto optimal solutions
Type_B_dup.csv
text/plain (299kB)
Creative Commons: Attribution 4.0
Type B - Raw data with duplicates
Type_B_exc_dup.csv
text/plain (205kB)
Creative Commons: Attribution 4.0
Type B - Refined data excluding duplicates
Type_B_Pareto.csv
text/plain (4kB)
Creative Commons: Attribution 4.0
Type B - Pareto optimal solutions
Type_C_dup.csv
text/plain (565kB)
Creative Commons: Attribution 4.0
Type C - Raw data with duplicates
Type_C_exc_dup.csv
text/plain (331kB)
Creative Commons: Attribution 4.0
Type C - Refined data excluding duplicates
Type_C_pareto.csv
text/plain (6kB)
Creative Commons: Attribution 4.0
Type C - Pareto optimal solutions
All_Data_Processed.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (1MB)
Creative Commons: Attribution 4.0
All data - refined and processed
Creators
Yasser Ibrahim Ibrahim
University of Bath
Contributors
Tristan Kershaw
Supervisor
University of Bath
Paul Shepherd
Supervisor
University of Bath
University of Bath
Rights Holder
Coverage
Collection date(s):
From 1 August 2021 to 30 November 2021
Documentation
Data collection method:
Simulations were setup in Grasshopper, where the plugin Octopus was used to iterate the simulation of each courtyard geometrical configuration, and the Ladybug-tools to calculate the objective functions. Grasshopper components, "Data Recorder", were used to record the recursive data iteratively throughout the 3 types of simulations. Upon the end of each phase, the data was manually transferred (copy-pasted) to CSV files by the researcher. For the data files, types A, B, and C refer to courtyard's width elongated 1, 2 and 3-fold its length. The annotation "dup" refers to the entire sample produced by the algorithm, which contains duplicate solutions. The annotation "exc_dup" refers to the refined sample after excluding duplicate solutions. The annotation "Pareto" refers to the best performing solutions in the refined sample in terms of both objective functions (UTCI and Cooling loads), also known as the Pareto front solutions. The xlsx file includes all the data in the 9 files, along with their analyses and visualisations.
Technical details and requirements:
Rhinoceros V.6 Service Release 29 Grasshopper Build 1.0.0007 Ladybug V.0.0.69, Honeybee V.0.0.66
Additional information:
Data were organised in MS Excel. Av. OTCA stands for the average Outdoor Thermal Comfort Autonomy (not reported in the paper).
Funders
Ministry of Defense, Egypt
Publication details
Publication date: 16 May 2022
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01137
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1137
Related papers and books
Ibrahim, Y., Kershaw, T., Shepherd, P., and Elkady, H., 2022. Multi-objective optimisation of urban courtyard blocks in hot arid zones. Solar Energy, 240, 104-120. Available from: https://doi.org/10.1016/j.solener.2022.05.024.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Yasser Ibrahim Ibrahim
Faculty of Engineering & Design
Architecture & Civil Engineering
Research Centres & Institutes
Centre for Energy and the Design of Environments (EDEn)
