The Role of CFD in HVAC Design

It's hard to imagine our cars or trucks without an HVAC system, and it has become a standard installation that we all rely on for a comfortable and safe environment while we're on the road.

Whether using our vehicles for work or leisure, an all-season HVAC (Heating, Ventilating, and Air Conditioning) system ensures that we are always comfortable and protected from the elements.

We will explore the importance of Computational Fluid Dynamics (CFD) simulation in the HVAC design process and show present and future AI applications in car manufacturing. We will see how CFD /HVAC predicts thermal and acoustic comfort.

How can onboard thermal and acoustic car occupant comfort and safety be satisfied while ensuring energy efficiency?

Thermal comfort is a concept that encompasses various factors beyond just temperature, such as humidity, air velocity, and radiant heat exchange. Image source: Pixabay
Thermal comfort is a concept that encompasses various factors beyond just temperature, such as humidity, air velocity, and radiant heat exchange. Image source: Pixabay

The Role and Importance of Conducting CFD Analysis

Designers need to investigate physics to find optimal designs in the ventilation system. The physics of ventilation is quite diversified:

  • thermal exchange,
  • fluid mechanics,
  • ... and even aeroacoustics

Could it all be simulated in one platform? A Computational Fluid Dynamics analysis software platform can reproduce all of them!

Using computational fluid dynamics simulation technology, we can now accomplish design objectives with greater speed and cost-effectiveness, eliminating the need for costly physical experimentation that was once the norm in the industry.

Aeroacoustics is the study of noise generated by fluid flow and can be investigated with CFD. Image source: https://fluids.ac.uk/sig/Aeroacoustics
Aeroacoustics is the study of noise generated by fluid flow and can be investigated with CFD. Image source: fluids.ac.uk

The Use of CFD Analysis

Engineers can use CFD analysis to predict the airflow and temperature distribution within internal HVAC systems. Furthermore, computational analysis can also be applied to assess the acoustic properties of these systems, making the design process faster, more cost-effective, and less reliant on physical experimentation.

How CFD Analysis Revolutionizes HVAC System Design

CFD simulation is a more efficient and cost-effective way to design products than experimental testing, resulting in an improved system design process based more on quantitative preemptive analysis than trial-and-error.

Assessing Thermal Comfort Parameters

Assessing thermal comfort parameters (such as the Draft Rating Index) with CFD simulation enables engineers to accurately predict the temperature distribution and effective draft temperature inside the indoor space of the vehicle cabin provided by the device.

Since solar radiation, heat transfer, and air properties affect the system's thermal performance, capturing them during the early stages of building design is essential to meet occupant satisfaction.

More challenges in passenger spaces:  the thermal design challenges in a car with a transparent sunroof include increased solar heat gain, which can cause discomfort and require more cooling, as well as potential glare and fading of interior materials due to increased UV exposure.

Modes of Heat Transfer That Can Be Simulated

CFD can analyze all modes of heat transfer:

  • Radiation simulation
  • Natural Convection simulation
  • Forced Convection simulation (e.g., due to the presence of a fan)
  • Conduction simulation (including conjugate heat transfer also incorporating solid objects)

With such a flexible physical modeling software platform, engineers can optimize designs to ensure satisfaction for thermal comfort and ameliorate air distribution with an early-stage design approach.

Explaining the HVAC System

The HVAC system influences the ventilation dashboard's look (figure) since the vent location distributes air throughout the cabin spaces. The ventilation dashboard is located downstream of the internal system.

Insight on the Internal System

The HVAC system regulates the vehicle's temperature, humidity, and air quality. The system includes a compressor, evaporator, condenser, and refrigerant; those components work together for air cooling and dehumidification.

In addition to core cooling components, the system includes fans, filters, and sensors.

  • Fans circulate the air throughout the cabin
  • The filters remove pollutants
  • Sensors measure the temperature and humidity inside the cabin and adjust the HVAC system accordingly.

CFD Analysis Examples

To maintain good indoor air quality, the Automotive HVAC Industry has turned to CFD analysis software to improve the design of HVAC systems and cabin spaces.

Optimal design shapes fit the vehicle's geometrical constraints and guarantee energetic efficiency, reduce noise, and maximize flow ventilation performance at the outlets (see figure illustrating the typical engineering simulation software results).

Typical CFD results of an analysis of an air conditioning and ventilation system, to assess the flow efficiencies of the design solution in terms of air ventilation.
Typical CFD results of an analysis of an air conditioning and ventilation system, to assess the flow efficiencies of the design solution in terms of air ventilation.

CFD analysis can help analyze (in a few hours) and optimize (in a few days) design regarding flow parameters. The figure shows a sample of 100 HVAC system designs.

Ouputs of fluid mechanics simulations to investigate and address energy loss and flow inefficiencies across the system, in terms of flow istribution (velocity, right) and pressure drop (on the left) for a given CAD input
Ouputs of fluid mechanics simulations to investigate and address energy loss and flow inefficiencies across the system, in terms of flow istribution (velocity, right) and pressure drop (on the left) for a given CAD input

The next chapter will show how to leverage those data to create a powerful tool to predict fluid and thermal behavior based on Artificial Intelligence (AI).

What's Beyond Classic Simulation? AI!

We will see a striking example of how AI transforms the HVAC industry.

AI simulates specific human intelligence functions; its Machine Learning branch uses data and statistical models to improve AI performance.

AI & Deep Learning

Deep Learning uses deep neural networks to learn from vast amounts of data and to simulate engineering systems.

AI: Deep Learning Use Case

A Deep Learning model (NCS) leveraged project design data, i.e., CAD and CFD results files, learning to predict the association between design changes (CAD) and engineering results.

Practical Visual Benchmark: AI vs CFD Analysis

The degree of accuracy can be seen from the figure, with a potential for deployment in system design. In HVAC system design, deep learning only uses CAD inputs bypassing CFD analysis steps, thus democratizing it for a wider population without specialist skills.

Comparison between CFD (taking the order of hours to operate) and AI prediction with NCS (within a few milliseconds), based on the same CAD geometry.
Comparison between CFD (taking the order of hours to operate) and AI prediction with NCS (within a few milliseconds), based on the same CAD geometry.

The Engineering Simulation Journey: What's Next?

The article delved into two groundbreaking advancements in HVAC system design that are or will revolutionize the industry.

First, digital technologies that produce data have replaced costly trial-and-error methods.

Second, the digital thread is going to be improved through the utilization of this data. Deep Learning makes engineering predictions accessible to all engineers, regardless of their specialization.

The system's performance will improve continuously with the AI learning process, drawing on a more diverse range of CFD analysis data and scope. Beyond HVAC interiors analysis, it will be possible to predict flows inside the cabin, combined with digital twins, for human comfort.

As an engineer once said to the author, "The only limit here is imagination!"

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Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
About the author
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
About the author
About the author
About the author
About the author
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author
About the author
About the author
About the author
Anthony Massobrio
Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director in a challenging Automotive Tier 1 supplier environment. Since 2001, Anthony has worked in Software & Engineering Consultancy as a Sales Engineer and manager. In 2020, Anthony fell in love with AI and has worked since then in the field of “AI for CAE” at Neural Concept and as an independent contributor.
About the author