Wind Score is designed to support Pedestrian Wind Comfort analysis. The criteria used is average wind speed in the area of interest – which means models with lower wind speeds will score better than the ones causing higher wind acceleration.
While setting up a Wind Score simulation with Ingrid Cloud, the user needs to choose an area of interest – which will select the area in which the average wind speed will be calculated. The more limited the area, the more specific – and therefore informative the average will be.
For this case, the area of interest is considerably large, containing 2.5 blocks of urban area. This is an early design stage analysis, and the goal of the simulation is to understand the global wind dynamics around 4 different design options. Which one will perform best when it comes to pedestrian comfort and safety?
Wind Direction: West
Wind speed: 8 m/s
Wind Profile: US (ACSE 7-10)
Implicit Large Eddy Simulations CFD Model applied
Visualisations provided at 1.5 metres
In addition to the score, our report also displays 3D visualisations for Wind Effects. That view is designed to help users understand how the wind is behaving around the models and what potential wind comfort optimisations are needed.
In first place – RANK 1 – is the model without high-rise buildings, containing big open spaces in the middle where the wind flows over without affecting the overall comfort of pedestrians at ground level.
Second and third place - ranked by Wind Score, promote similar wind experiences, causing an average wind velocity of 6.60 and 6.87 m/s respectively:
The worst scenario is visualised in the design model containing mostly tall buildings. It’s also important to note that the buildings’ façades are directly exposed to westerly winds – the wind direction chosen for this analysis – as seen in this picture:
Rank 1 performed best in pedestrian comfort and safety, favouring low-rise buildings and more open terrain - containing the lowest average wind velocity throughout the area. It's important to analyse the automatically generated score in connection with the Wind Effects visualisations available in the report. Having a previous understanding of the mechanical behaviour of wind is an important step to interpreting Wind Score results.