Classifying urban geometry impact on solar radiation

Lila, Anas; Lannon, Simon

Abstract

This research introduces a novel way of classifying the built environment based on its geometrical features and its surroundings and link the classified buildings to its environmental performance. These features consist of urban block orientation within the configuration, urban blocks exposure to main street, building orientation within the urban block, building area and number of
edges, building exposure to urban void and the height of buildings compared to its surroundings with its orientation related to its height relation. This categorization is utilized to save simulation time by
reducing the number of simulated buildings in the urban configuration. The process starts with running a solar radiation simulation for some configurations fully. In these runs, each building is simulated in isolation but considering the rest of the configuration as context. These results act as a repository of saved data linked to the
buildings’ categorization. Then, these saved results are compared to newly generated configurations and only unique buildings with unique features are simulated. The simulation results are compared to the normally ran iterations to figure out the accuracy of this process.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 16th Conference of IBPSA, 2019
• Start Date: Sep 2, 2019
• End Date: Sep 4, 2019
• Acceptance Date: May 1, 2019
• Publication Date: Sep 3, 2019
• Deposit Date: Jan 17, 2023
• Pages: 3406
• Series ISSN: 2522-2708
• Book Title: Building Simulation 2019
• ISBN: 978-1-7750520-1-2
• DOI: https://doi.org/10.26868/25222708.2019.210595
• Public URL: https://uwe-repository.worktribe.com/output/10274599
• Publisher URL: http://www.ibpsa.org/proceedings/BS2019/BS2019_210595.pdf
• Related Public URLs: http://ibpsa.org/building-simulation-2019; ; http://www.ibpsa.org/proceedings/BS2019/BS2019_frontmatter.pdf