Innovations in Comfort, Efficiency, and Safety Solutions.
Introducing Autonomous AI to HVAC:
The Future of Building Automation
Chief Technology Officer & Co-Founder
It is expected that 10 million self-driving cars will be on the road in the U.S. alone by 2020, according to Research and Markets. What’s more, marketing firm ABI projects that eight million driverless cars will be added to the road in 2025. Innovation in the transportation sector has been progressing rapidly, in part, thanks to the agile start-up world and fast-moving giants, such as Tesla and Google.
yet, as the transportation industry is evolving dramatically, other
aspects of our day-to-day experience remain relatively unchanged. We
have not seen revolutionary innovations similar to the ones seen in the
transportation sector in the built environment or real estate sector
for some time.
despite the fact that people will continue to move to cities, we will
continue to build more buildings, and our buildings will continue to
use a lot of energy.
Could autonomous buildings, whether in commercial retail spaces, hotels, schools or office buildings, play an important role in our ability to slow down climate change?
How will AI command and control be introduced to HVAC in order to facilitate this change?
AI for HVAC
HVAC structures are still designed as fixed systems, or programmed for a fairly static environment, even though the weather and seasons are fluid and dynamic. This static organisation is costly, both for business – since inefficient systems can contribute to higher energy bills and maintenance costs – and the environment. In fact, HVAC systems account for 51% of the total energy usage in commercial buildings. Inefficient and poorly managed systems are also responsible for occupant discomfort and a major contributor to rising levels of greenhouse gases.
As the first ever start-up to enable building automation control with artificial intelligence, BrainBox AI offers an autonomous AI technology for HVAC, placing it at the forefront of the autonomous building movement.
AI uses deep learning, cloud-based computing, algorithms and a
proprietary process to support a 24/7 self-operating building that
requires no human intervention and enables maximum energy efficiency.
Pre-commercialization tests have demonstrated that BrainBox AI enables
a 25-35% reduction in total energy costs in less than three months,
with low to no CAPEX needed from property owners. It also improves
occupant comfort by 60% and decreases the carbon footprint of a
building by 20-40%.
Using Haystack to deliver Autonomous Buildings
AI optimizes a building’s existing HVAC system by analyzing information
from a multitude of internal and external data points, combining time
series data with deep learning engines and deriving high-quality
predictions for each zone of the building. Its technology enables it to
make exceptionally accurate predictions about the built environment,
empowering the deployment of algorithms to drive the HVAC system in
real time. The combination of highly precise AI predictions, as well as
advanced algorithms (that are based on the knowledge of mechanical
engineers and control experts), delivers continuous commissioning at a
fraction of the cost of manual, human interventions.
result is a 24/7 self-operating building that requires no human
intervention and functions at optimal efficiency and ensures maximum
part of its technology development process, BrainBox AI is partnering
with the National Renewable Energy Laboratory (NREL), an organization
funded by the United States Department of Energy that focuses on the
development of creative answers to today’s energy challenges. To
effectively map out a building’s HVAC control points and ensure all
data labels used follow Haystack conventions, NREL and BrainBox AI are
working together for the development of an automapping AI tool which is
being referred to as Autobots. This new AI tool should accelerate the
deployment time of the solution throughout buildings, reducing the
onboarding time and generating a clean dataset from day one.
What this all means for the future of HVAC control
the last couple of years, we’ve witnessed an explosion in the market of
analytics solutions (FDD, EIS, EMIS, etc.) using AI, and other data
analysis techniques, to generate insights for building managers. This
technology wave pushed data handling and formatting to the forefront,
and it became a trending topic of interest. Thanks to the Haystack
initiative, we are now making good progress on that front. The same
data is currently being utilized for many new purposes, moving from the
sharing of insights to enabling AI to operate a building’s HVAC system
in real time. This is the first step towards a real autonomous
building. As the car industry advances from the GPS to the self-driving
car, our industry is starting to shift as well. It is evolving from a
fix control sequence to an autonomous control sequence, thus
dynamically changing the control sequence code every minute and
learning as it evolves in time without any human intervention.
Are you ready to let AI deliver the hidden value in your dataset?
To learn more about how BrainBox AI is introducing artificial intelligence to HVAC, please visit www.brainboxai.com
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