Residential Battery System

Home energy storage for energy-smart savings

Our advanced residential energy storage systems revolutionize the way households consume electricity. Installing an on-site energy storage system reduces the costs customers pay for electricity and paves the way for further integration of renewable energy.

Residential storage batteries?

Residential storage batteries can help reduce electricity costs by charging when electricity is cheap and discharging when it is expensive. Homes can run off of the saved-up “cheap” electricity during periods of peak energy usage during the day, when electricity is at its most expensive.

The battery can also be programmed to discharge during periods when the customer’s site’s power consumption is the highest, thereby cutting down the customer’s peak power draw from the grid, resulting in lower rates. Or, customers can also earn by participating in demand response programs and offering their stored-up energy in response to requests from utilities for power.

Depending on each consumer’s individual electricity usage patterns, electricity rate structure, and the local electricity situation, installing a residential battery system could be an ecomical solution.

How does residential storage work?

The residential storage system runs completely automatically. The battery is controlled according to a charge and disharge schedule that is automatically calculated and updated in real-time. The cloud-connected battery controllers leverage the cloud’s data storage and computational capacity to generate optimal schedules. Based on past data on each individual consumer’s energy usage, data from similar consumers, weather data, and other data, the algorithm can predict the consumer’s future electricity usage, and calculate the optimal future charging schedule for reducing cost.

My role in the project:

I worked on developing algorithms for

  • charge/discharge schedules for optimizing electricity cost reduction
  • charge/discharge schedules for minimizing battery aging
  • calculating optimal discharge schedules by predicting future electricity loads based on past data
  • optimal discharge distribution among multiple batteries
This project is owned by Panasonic Corporation.