A cloud-based platform to predict wind pressure coefficients on buildings.

ABSTRACT: Natural ventilation (NV) is a key passive strategy to design energy-efficient buildings and improve indoor air quality. Therefore, accurate modeling of the NV effects is a basic requirement to include this technique during the building design process. However, there is an important lack of wind pressure coefficients (C _p ) data, essential input parameters for NV models. Besides this, there are no simple but still reliable tools to predict C _p data on buildings with arbitrary shapes and surrounding conditions, which means a significant limitation to NV modeling in real applications. For this reason, the present contribution proposes a novel cloud-based platform to predict wind pressure coefficients on buildings. The platform comprises a set

SUBMITTER: Bre F 

PROVIDER: S-EPMC8783582 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature