Aug 12, 2024 · 34 min · 10 segments
How can the digital transformation of the built environment and the cold chain impact sustainability? In this episode of the Healthy Spaces podcast, host Oakley Roberts speaks with Riaz Raihan, chief…
Riaz RaihanGuestBob IrvinGuestRyan RutledgeGuest
Dominique SilvaHostOakley RobertsHost
Additionally, over 10% of greenhouse gas emissions come from food loss and waste.
So reducing energy consumption in buildings and preventing food loss are a significant opportunity to reduce carbon emissions.
But how can we utilize technology and foundational AI to achieve this kind of sustainable impact, as well as unlock value for customers?
So we are working on some really cool capability where we take a physical object, a chiller as an example, which is a large machine, roughly the size of a school bus, and we create a digital twin of that machine.
remotely access the machine, to visualize that machine sitting tens of miles away or hundreds of miles away, and for our engineers to look at that machine and to track it and to actually compare the performance of that machine to its birth certificate.
So you're actually trying to compare how the machine is operating in real time versus the ideal operating conditions of the machine.
And you can see how data rich that process is, but you can also see the power of how much value we can add to that.
by finding out in great detail where there's gaps between what the performance should be and what the performance is.
Let me talk about a building because a building has a lot of data around it, the shape of the building, the size of the building, the sun position, the existing weather conditions around the building, the forecasted weather conditions, the haystack mapping.
There's a myriad of data, millions of data points that can be then fed into a deep learning model that uses algorithms and the power of artificial intelligence to really figure out how best to manage the temperature settings in that building so you're not sacrificing comfort but you're reducing the expense on energy.
And I'm very excited about this because I think we're just scratching the surface here.
Additionally, over 10% of greenhouse gas emissions come from food loss and waste.
So reducing energy consumption in buildings and preventing food loss are a significant opportunity to reduce carbon emissions.
But how can we utilize technology and foundational AI to achieve this kind of sustainable impact, as well as unlock value for customers?
So we are working on some really cool capability where we take a physical object, a chiller as an example, which is a large machine, roughly the size of a school bus, and we create a digital twin of that machine.
remotely access the machine, to visualize that machine sitting tens of miles away or hundreds of miles away, and for our engineers to look at that machine and to track it and to actually compare the performance of that machine to its birth certificate.
So you're actually trying to compare how the machine is operating in real time versus the ideal operating conditions of the machine.
And you can see how data rich that process is, but you can also see the power of how much value we can add to that.
by finding out in great detail where there's gaps between what the performance should be and what the performance is.
Let me talk about a building because a building has a lot of data around it, the shape of the building, the size of the building, the sun position, the existing weather conditions around the building, the forecasted weather conditions, the haystack mapping.
There's a myriad of data, millions of data points that can be then fed into a deep learning model that uses algorithms and the power of artificial intelligence to really figure out how best to manage the temperature settings in that building so you're not sacrificing comfort but you're reducing the expense on energy.
And I'm very excited about this because I think we're just scratching the surface here.
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