Creator/Principal investigator(s)
Agnieszka Czachura
- Lund University, Division of Energy and Building Design
Description
The data contains inputs for creating the neighbourhood design iterations and metrics as outputs of simulations. Neighbourhood models were created using Rhino 7 and Grasshopper, while metrics were simulated using Grasshopper and Ladybug Tools.
The metrics are described in the review article: Czachura, A., Kanters, J., Gentile, N., & Wall, M. (2022). Solar Performance Metrics in Urban Planning : A Review and Taxonomy. In Buildings (No. 393; Vol. 12, Issue 4). https://doi.org/10.3390/buildings12040393
The model setup is described in the article: Czachura, Agnieszka, Niko Gentile, Jouri Kanters, and Maria Wall. 2022. "Identifying Potential Indicators of Neighbourhood Solar Access in Urban Planning" Buildings 12, no. 10: 1575. https://doi.org/10.3390/buildings12101575
Language
English
Research principal
Responsible department/unit
Division of Energy and Building Design
Contributor(s)
Maria Wall - Lund University, Division of Energy and Building Design
Jouri Kanters
- Lund University, Division of Energy and Building Design
Niko Gentile
- Lund University, Division of Energy and Building Design
Funding
-
Funding agency:
Swedish Energy Agency
- Funding agency's reference number: 49518-1
Data contains personal data
No
Geographic spread
Geographic location: Sweden, Germany
Geographic description: The data concerns two locations, for which weather files were applied to simulate metrics: Stockholm (Sweden) and Franfurt (Germany). Case studies originate from Malmö (Sweden), but were simulated with the Frankfurt weather.
Czachura, Agnieszka, Niko Gentile, Jouri Kanters, and Maria Wall. 2022. "Identifying Potential Indicators of Neighbourhood Solar Access in Urban Planning" Buildings 12, no. 10: 1575. https://doi.org/10.3390/buildings12101575
DOI:
https://doi.org/10.3390/buildings12101575
Czachura, A., Kanters, J., Gentile, N., & Wall, M. (2022). Solar Performance Metrics in Urban Planning : A Review and Taxonomy. In Buildings (No. 393; Vol. 12, Issue 4). https://doi.org/10.3390/buildings12040393
DOI:
https://doi.org/10.3390/buildings12040393
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Description
The excel file comprises of five data sheets: two containing data descriptions and three containing research data. The results are solar access metrics, which were used in a correlation study and other statistical analyses to determine their suitability for urban planning assessment purposes.
Sheet 1 'metric_descriptions': Description of metrics
Sheet 2 'headings': Description of headings
Sheet 3 'Iterations_Stockholm': Neighbourhood models generated in an iterative process using geometrical
Version 1
https://doi.org/10.5878/jf63-ay82
Citation
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Data format / data structure
Numeric
Text
Creator/Principal investigator(s)
Agnieszka Czachura
- Lund University, Division of Energy and Building Design