The professionals who design HVAC (Heating, Ventilation, and Air Conditioning)
systems have an important job. They are the ones who make sure that café patrons can
keep their jackets on inside without getting overheated. They ensure that confined
air-conditioned spaces won’t feel stuffy. They can even prevent – or at least minimize –
workplace thermostat wars. Read on to learn about a revolutionary new app that helps
HVAC designers solve these problems better and faster by making state-of-the-art
simulation technology more accessible than ever before.
Primary reasons why we need HVAC systems
1. To provide optimal thermal comfort
Thermal comfort can be defined as "a state of mind that expresses satisfaction with the
thermal environment." Simply put, it's comfortable with the environment: not too hot
and not too cold. Poorly designed or improperly installed HVAC systems can directly
affect thermal comfort in office buildings, theaters, cinemas, commercial centers, and
residential buildings.
2. To improve indoor air quality
"Indoor air quality" refers to the level of pollutants in the air inside homes, schools,
offices, and other buildings. Indoor air quality affects the health, comfort, and
well-being of a building’s occupants. Studies have linked poor indoor air quality to sick
building syndrome. When this happens, people who spend time inside the building can
experience negative effects on their health or comfort, reduced productivity in a
workplace or impaired learning in schools.
A well-designed HVAC system with the right amount of fresh air ventilation ensures
both optimal thermal comfort and indoor air quality. This includes selecting
appropriate equipment and designing the air distribution system. When done right, the
system will meet all the demands of heating, cooling, and ventilation for the various
occupancy and weather conditions that occur throughout the year.
Traditional design process
In a typical HVAC design process, an engineer uses Excel sheets or 1D tools to
calculate heat loads, airflow volumes, and ventilation requirements.
This is only the first step in the iterative HVAC design procedure, and a complete HVAC
design involves more than just calculating heat loads and amounts of conditioned air.
The system’s performance depends on how effectively the conditioned air is
distributed in the space, which is a significant factor in occupant comfort.
The challenge with this design method is that HVAC systems can only be evaluated for
comfort once the design is implemented. If the system must be redesigned and
implemented again to correct a thermal comfort or indoor air quality problem, it
results in extra costs, project delays, and bad client experiences.
The best solution is to analyze the systems better at the design stage, and this is
possible through Computational Fluid Dynamics (CFD) simulations.
Role of CFD in HVAC system design
CFD simulations enable visualization of airflow, temperature, humidity, and CO₂
concentration in conditioned spaces. CFD can simulate a building’s HVAC performance
to identify potential problems during the design stage. This helps designers make
informed decisions about design optimization without needing to physically build and
install the system first.
Sounds great! But…
The unfortunate reality is that few HVAC solution providers actually use CFD
simulations in their design process. Lack of CFD knowledge, extensive training
requirements, expensive software licenses, and the need for in-house
high-performance computing equipment have kept CFD from being widely
implemented.
Thus, there is a need to democratize CFD technology so HVAC designers everywhere
can make use of this powerful design method.
Democratizing the world of HVAC simulations
A new generation of cloud-based CFD software is resolving these challenges, enabling
access to cutting-edge CFD capabilities at a fraction of the time and cost. The
simulationHub team is democratizing this future of HVAC design through its newly
developed app called Autonomous HVAC CFD (AHC for short). The app leverages
cloud computing to intelligently automate the running of thermal fluid dynamics
simulations
Autonomous HVAC CFD
How does Autonomous HVAC CFD help?
“Autonomous HVAC CFD is an art driven by science,” says Sandip Jadhav, the CEO of
CCTech. The AHC app uses CFD simulations to assess occupants’ thermal comfort
inside building spaces. The algorithm computes thermal comfort indices including
Predicted Mean Vote (PMV) and Percentage of People Dissatisfied (PPD). The only
inputs the app needs are the Building Information Models (BIMs) of indoor spaces,
along with information about the HVAC system, weather conditions, and occupant
density. The heavy lifting of the CFD simulation process (fluid volume extraction,
meshing, selecting the suitable numerical models and solver schemes, monitoring
convergence, and postprocessing) is all done autonomously.
Results provided by AHC:
Thermal comfort
Comfort cloud
Flowlines
Contour plots
CO₂ Level Results
Carbon dioxide (CO₂ ) is an important factor that affects indoor air quality. Evaluations
of HVAC system design should, therefore, take CO₂ levels into account to achieve the
goal of good indoor air quality. The AHC app estimates the CO₂ levels that occupants
will encounter and helps to design optimal ventilation strategies for any design space.
Simplicity of the application
CCTech's motto is "Transforming Human Life by Democratization of Technology, "and
accordingly, the primary focus of the Autonomous HVAC CFD app is on enabling the
designer to evaluate the design at the design stage itself. It has the capability to
execute multiple HVAC CFD simulations autonomously and in parallel. The design
engineer can analyze the entire design space and evaluate occupant thermal comfort
for various HVAC design configurations and thermal load scenarios quickly and easily.
CFD Expertise: : Design engineers don’t need to have specialized CFD
knowledge/expertise to use AHC in their day-to-day operations. The application
manages the underlying technology and plays the role of the expert, enabling
the team to focus on the HVAC system design.
Software Installation:
Unlike other commercial CFD software, AHC does not
require complicated installation and maintenance. Design teams simply select
the subscription plan that suits their needs and can start simulating immediately
Hardware Setup:
The beauty of cloud computing is that the servers are off-site
and out of your hair. Being a cloud-based app, AHC does not demand in-house,
high-performance computing resources or hardwired servers. As the app uses
less local resources, there is less hardware to power and maintain.
Data Access:
With AHC, you can be at work anytime you have an internet
connection. The data and applications are accessible by the design team no
matter where they are in the world, and from virtually any internet-connected
device.
Scalability:
Since AHC runs simulations in the cloud, multiple simulations can be
run at the same time without compromising output speed. This scalability and
reduced design time enable the engineer to try out innovative design ideas and
what-if scenarios.
Through these key advantages, AHC plays a crucial role in the HVAC design process.
AHC empowers designers to overcome long-held misconceptions about system design,
freeing them to create innovative new solutions and rapidly evaluate designs to ensure
that indoor air spaces will provide the best comfort possible.
Get FREE early access
Wish to explore the Autonomous HVAC CFD application and optimize the design for
thermal comfort ? Sign-up and get early access. Simulation credits worth $500 will be
allocated for FREE. Explore the product and estimate thermal comfort for a space of
5000 square foot area for FREE.
Case studies
Nothing demonstrates the power of a product more than its real-world examples. View case studies of how AHC is used for estimating thermal comfort.
Wish to explore Autonomous HVAC CFD to optimize your HVAC design for IAQ and thermal? Sign-up now and get free credits worth $500 for 90 days. You can explore the product and evaluate HVAC designs for Indoor Air Quality and estimate thermal comfort upto space area of 5000 square feet.
Manish is a Technical Sales Engineer at Centre for Computational Technologies Private Limited (CCTech). At CCTech he is keenly interested in learning the upcoming new technologies in the field of Computational Fluid Dynamics and Machine Learning. His areas of interest are Comput-Aided-Engineering, and Fluid Mechanics. He holds a Bachelor's degree in Mechanical Engineering from Savitribai Phule Pune University. Studying Cosmology and reading books are some of his hobbies.
Manish Kamath
Manish is a Technical Sales Engineer at Centre for Computational Technologies Private Limited (CCTech). At CCTech he is keenly interested in learning the upcoming new technologies in the field of Computational Fluid Dynamics and Machine Learning. His areas of interest are Comput-Aided-Engineering, and Fluid Mechanics. He holds a Bachelor's degree in Mechanical Engineering from Savitribai Phule Pune University. Studying Cosmology and reading books are some of his hobbies.