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Image © Ingrid Cloud

Ingrid Cloud Uses Self-Learning Algorithms to Drive Wind Simulations

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Ranging from the AEC Industry to the automotive industry, Ingrid Cloud plays a critical role in proposing an easy-to-use, fully automated flow simulation service. The Stockholm-based company continuously develops the latest technologies widely applied in the design and construction industry through self-learning algorithms and cutting-edge research.

As a cloud-based software and service solution (SaaS), Ingrid Cloud allows users to run automated professional wind simulations without prior expertise within the field of computational fluid dynamics. By applying a Large Eddy Simulations (LES) method for modelling turbulence, the company provides accurate flow predictions using some of the world’s fastest supercomputing resources. Their innovation results from a spin-out from world-leading research conducted over a decade by a team of researchers at KTH Royal Institute of Technology in Stockholm, Sweden.

Data Aided Design was able to connect with the team from Ingrid cloud to blank and discuss the potentials of implementing wind simulations in architecture and urban projects from early stages of design.

Image © Ingrid Cloud

How is data implemented in the workflow using your software?

Traditionally, wind simulations – and CFD in general – are very time consuming and expensive. Those are the main issues we are addressing. One of the big advantages that makes our solver so unique is that the simulation process is fully automated by Ingrid Cloud’s proprietary, self-learning algorithms. The user uploads a geometry to the platform, sets up their model parameters and can start a simulation within minutes.

Image © Ingrid Cloud

What are the advantages of using this software in a project’s development?

Implementing wind simulations throughout a project’s development safeguards your design from costly and time-consuming mistakes such as retrofitting or a complete redesign at later stages. In addition, having a reliable method for wind analysis is an essential consideration because it significantly influences and informs the design process, which is why Ingrid Cloud has been scientifically validated and benchmarked by NASA. This means that our wind simulations provide the user with a highly accurate method for wind assessment.

“Wind Simulations are becoming less of an optional analysis and more of a design optimisation tool across industries and especially when designing our urban skylines and cities of tomorrow.”

Which industries use your software?

Ingrid Cloud’s solver can be used across many disciplines including automotive, wind energy, architecture & construction, to name a few. Our solution provides wind analysis for virtually any 3D model, with applications available for Wind Load, Wind Tunnel, Wind Comfort. Our software is especially tailored to the urban design and AEC (architecture, engineering and construction) industries where we have recently launched a new application (Wind Score), developed for architects and urban designers.

Image © Ingrid Cloud

How does your software integrate with other software?

With Ingrid Cloud you can integrate wind simulations into your design process with our API solutions, enabling users to connect our platform to any existing system and/or workflow. In addition to our customisable API solutions, Ingrid Cloud offers an add-on for Autodesk Revit available for download, allowing users to set up a simulation directly from their Revit project. The big advantage of this is that no preparation of a 3D model is needed which saves you time and allows users to integrate wind analysis directly into their Revit workflow.

What do you think will be the future evolution of the use of wind simulation in the design fields?

Wind simulation platforms like Ingrid Cloud are already much faster, easier and less expensive compared to other alternatives like physical wind tunnel experiments. Regulations and requirements for wind assessment are already a reality for urban design in many municipalities worldwide.

Video © Ingrid Cloud
Image © Ingrid Cloud
Image © Ingrid Cloud
Image © Ingrid Cloud
Image © Ingrid Cloud
Image © Ingrid Cloud
Image © Ingrid Cloud
Image © Ingrid Cloud
Image © Ingrid Cloud
Francesca Silvi

Francesca Silvi

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