Potential indicators of neighbourhood solar access in urban planning - Solar access metrics simulated for urban design iterations and case studies

In Buildings (No. 393; Vol. 12, Issue 4). 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. doi.org/10.3390/buildings12101575 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 constraints were simulated to obtain multiple solar access metrics, assuming the Stockholm climate.

Sheet 4 'Iterations_Frankfurt': The same neighbourhood models generated in an iterative process using geometrical constraints were simulated to obtain multiple solar access metrics, assuming the Frankfurt climate. Sheet 5 'Case-Studies_Frankfurt': Case studies of real neighbourhood designs from Malmö city were simulated to obtain multiple solar access metrics, assuming the Frankfurt climate. These metric datasets were used for validation purposes.

Data available in xlsx and csv format