Industrial HVAC and Indoor Air Quality

Industrial HVAC and Indoor Air Quality

Air quality control methodologies in the field of air conditioning and ventilation are fundamental tools to increase machinery performance, reduce waste in the energy transition of structures, and comply with current safety regulations in the workplace.

The fluid dynamics study of industrial systems, combined with the use of IoT technologies, plays a crucial role in the implementation of the HVAC Digital Twin.

Cubit can identify potential issues and define corrective actions needed to control air composition and temperature in work environments, both for environmental and operator safety reasons, as well as for improving the performance of machinery that requires controlled thermodynamic conditions.

Optimizing and streamlining industrial air conditioning systems allows us to tackle new challenges related to the environmental sustainability of structures, using suitable tools to address such a complex and urgent problem.

Our considerable computing capacity, combined with the problem-solving skills of our team of technicians, enables us to identify critical aspects of the scenario with the client and propose engineering solutions that are advanced yet cost-effective.

Fluid dynamics analyses through numerical methods allow us to create digital twins of real objects and evaluate their fluid dynamic characteristics under various operating conditions, thus defining the goodness of a project by highlighting its strengths and weaknesses.

The field of application for these evaluations is extensive and can be a decisive tool in generating added value in the product, differentiating it from direct competitors.

Cubit firmly believes that expanding the application areas of CFD applied to highly accurate Digital Twins can be a game-changer in the design of ventilation and air conditioning systems, bringing significant benefits both in terms of well-being and energy savings to the end-user.

Furthermore, realistic and in-depth analyses of a large number of operating conditions allow the creation of intelligent devices that optimize the entire system’s operation based on space occupancy at any given moment, generating a virtuous cycle between fluid dynamic design, numerical optimization, and IoT world devices.

Discover last publications in this industry

The pre processing priority in fluid dynamics design

Antonio Ercoli, Giovanni Lombardi, Marco Maganzi

2019

Cubit, Università di Pisa

Impatto dello Sviluppo della Potenza di Calcolo sul progetto aerodinamico: prospettive e problematiche dell’uso dei processori GPU in ANSYS-FLUENT

Alberto Ciampa, Giovanni Lombardi, Marco Maganzi

2015

Cubit, INFN, Università di Pisa

Optimization Procedures as an Engineering Tools: Example

Giovanni Lombardi

2014

Cubit, Università di Pisa

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Discover all projects in this industry

Air Quality and HVAC Health: Study of an Industrial Site

CFD Consulting · IoT and Cloud Solutions · Numerical Optimization

View all projects »