Jeff Frolik, Co-founder
We’re pleased to announce the USPTO has awarded Packetized Energy’s first patent for the algorithm that underlies our virtual battery solutions. For the details, find our patent here. What’s most exciting is that we can now unlock new value streams for the electricity industry from fleets of distributed energy resources with solutions that are scalable, easy to use, and ensures excellent quality of service.
Just think about the billions of people sending data across the Internet every day. How is this possible? Through a top-down, centralized scheduling system? Through modeling of your behavior to determine when you might send data? Not at all, as those approaches would not scale to serve billions nor be able to react in real-time to changing customer needs. The Internet is able to operate in a highly decentralized manner by leveraging two ideas built into every digital device: packetization and randomization. Packetization breaks your data in to small discrete chunks of bits, which are easier to route than long data strings. Randomization spreads out your and everyone else’s data and ensures all users are treated fairly.
Packetized Energy applies these two foundational concepts to the delivery of electricity to electric water heaters, EV chargers, HVAC systems, and in the case of residential batteries, to and from. Our newly awarded patented and other algorithms are the antithesis of top-down, centralized scheduling schemes proposed by others. With our approach, devices initiate a request for energy based on their real-time needs. This request, however, is only for a “packet of energy.” For example, instead of an electric water heater turning on for its normal 30-40 minutes to recharge when its temperature is too cold, the heater can turn on at any point in its normal operating range but only for, say, 5 minutes. Furthermore, these requests occurs randomly from the device, again, based on real-time needs.
Because of our bottom-up, device-driven approach, Packetized Energy can ensure devices operate as customers expect: showers are hot, EVs are charged, and homes are cool in the summer. At the same time, our approach extracts the flexibility these devices have regarding when they operate, so we can match the aggregate demand to the available supply. No scheduling, no modeling, no cold showers, but lots of value!