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

Why use CpSimulator?

CpSimulator is a validated CFD-based service to obtain Cp data over a wide range of building scenarios, allowing users to achieve complex projects without the need for previous simulation expertise, nor expensive software and hardware

Natural Ventilation

for thermal comfort and energetic building designs

Mean Wind Loads

for structural building designs

Specific applications

for engineering of building attachments, storage tanks, advertising posters, monuments, stadiums, among others


The tools used by CpSimulator, which were exhaustively validated against wind tunnel experimental data, include

Isolated buildings

Calibrated reduced order models for rectangular floor-plan and CFD simulations with recalibrated turbulence models for general building topologies

Urban Environments

Target building with surrounding conditions, up to neighborhood scales. Input geometry compatible with CityGML and CityJSON formats

Performance Simulation

To evaluate natural ventilation in buildings, the input and the output formats are also compatible with EnergyPlus software (E+) to perform airflow network analysis

Openings detection

Auto-recognition of windows and doors. Specific Cp data computed. E+ objects generated and exported

Objects without thickness

To represent architectural elements of interest like balconies, overhangs, shadings, among others

Fields data

Surface and volumetric fields exported in VTK format

How CpSimulator works?

Our validated CFD-based service allows to users to obtain Cp data over a wide range of building scenarios without the need for previous simulation expertise, nor expensive software and hardware. Here we depict the work pipeline:

  • User inputs

    User must upload the building geometry file and the configuration of the ABL wind profile. The geometry should be split in as many surfaces as the level of detail for pressure coefficients be required.

  • Pre-Processing

    Automatic procedures generate the virtual wind-tunnel, mesh the domain and configurate the CFD simulation following the COST actions guidelines.

  • Processing

    RANS equations are solved using a finite-volume based steady-state solver. Turbulence is modeled using standard or recalibrated RANS models for specific ABL applications. One simulation per wind angle is performed in our clusters.

  • Post-processing

    Surface-averaged and point Cp data are computed on each selected surface. Surface and volumetric field data are also generated.

  • Results

    Results data is returned to the user. It includes a .csv table of Cp per surface and wind angle, .idf file updated (if required), and .vtk files for specific post-processing and other statistics.

  • Try

Request for your Cp data

Complete and send your request and we will answer as soon as we have the results

Personal information

Geometry data

Output formats

ABL wind velocity profile configuration

Uref / Us
zref / zs
z0 / α

Feel free to inquiry us for your particular application