Phased redevelopment of former bus depot into high quality residential accommodation and 2,699 sqm of commercial floorspace. Other associated works include landscaping, car parking and cycle storage.
SRE completed a Microclimate Analysis for the proposed development to ascertain the impact on pedestrian comfort in respect to wind velocity. As part of this, a transient Computational Fluid Dynamic (CFD) wind study was performed analysing wind directions for different seasons throughout the year to provide a robust study against the Lawson Comfort Criteria (LCC).
Working closely with the client, SRE’s building physics specialists suggested amendments to proposed designs and solutions to mitigate any potential climate concerns.
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12 wind directions were assessed to provide a robust study of the microclimate conditions generated by the proposed development. Four scenarios were assessed:
- The existing site with existing surrounding buildings
- The proposed development with existing surrounding buildings
- The proposed development with existing and future surrounding buildings
- The proposed development with mitigation measures
All scenarios were analysed against normalised hourly weather data during winter and summer seasons to provide a thorough comparison against the LCC – the UK’s industry standard tool to determine which wind speeds are suitable for different pedestrian activities.
Based on SRE’s findings for each scenario, the results indicated mitigation measures would be required. To further develop measures, Mitigation Workshops were also held to enhance the detailed design and site landscaping strategy. SRE worked with the client and recommended a number of solutions including trees in various shapes and sizes and balustrades for worst-case scenarios. Wind barriers were also suggested in the form of wooden fence panels and glazing. To ensure a thorough analysis was completed, SRE’s building physics consultants studied the Atmospheric Boundary Layer (ABL) – the terrain roughness approaching the site. This is because average wind speeds increase with distance from the ground and this, along with turbulence, can have significant impacts on wind profiles around buildings.
SRE’s dataset was based on historic weather data calculated using hourly averages from a nearby weather station. This enabled SRE to calculate a suitable approximation of the prevailing wind conditions, the frequency and average wind speed in each direction.
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