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- Pune (MH), India
Most ATM Rooms use split A/Cs for cooling, mainly for the convenience of Users.
Each ATM Room tends to drive footfall differently, but each Room's unique footfall pattern doesn't change much over time.
The A/C, however, is continuously active, irrespective of actual occupancy in the Room.
I find that, if the A/C is controlled based on footfall data, each ATM room could potentially save about 20% of the energy used by the A/C.
I am developing a data-driven A/C management System, that controls the A/C with an IR Controller based on data regarding realtime occupancy, temperature and footfall statistics. It attempts to use less energy for cooling, while not affecting the user's experience.
This project is currently in progress, and we expect to run some pilot tests in early 2018. We currently have a prototype being tested for various footfall scenarios.
This concept adds onto my exploration of sharing some functional responsibility with devices (here the A/C), by allowing them programmed autonomy over some basic functions, like energy-efficiency.
It also touches on my idea of value-added consumption for energy efficient device behaviour. Here, I propose that by measuring how much value every unit of energy consumed by a device adds, we can find definitive ways to determine it's optimum behaviour.
I am working with my Device Interactions team, involving a PCB designer and me. We have defined the Product, and I am develping the algorithm for the A/C control based on the various data points.
I expect this to be a high-impact project, once we are able to deploy on ATMs across India.
More about this project on the Device Interactions website soon.