IN2 Final Report: Ibis Networks/WattIQ

Lieko Earle, Bethany Sparn, Bennett Doherty, Rois Langner, Mark Madsen, Sam Colman

Research output: NRELTechnical Report

Abstract

Ibis Networks is a full-stack cleantech company that provides plug-level energy monitoring and control to solve energy and asset management problems for the enterprise. During DATES – DATES, an NREL research team worked with the Ibis team to validate their product, the InteliSocket.The Ibis InteliSocket is a pass-through plug-load energy monitor and controller that is designed to reduce energy wasted by common 120 V plug-in devices in commercial office buildings, such as computer peripherals, conference room AV equipment, and break-room appliances. The system can shut off supply power to these end uses via remote control, manual switches, pre-set schedules, or automated control algorithms. The scope of this IN2 project was the development and refinement of “smart” learning behavior algorithms (LBAs), which could help installation processes and dramatically expand the sockets’ capabilities and energy-saving potential by suggesting suitable control schedules that are based on monitored use patterns. While Ibis has the analytical and software expertise for algorithm development, the lack of test data, both in a controlled laboratory setting and in real-life deployment scenarios, represented a key barrier toward commercialization of the product. Assistance through the IN2 program provided an opportunity to conduct the needed “trial and error” algorithm development.The project included baseline field-data collection, laboratory testing, and field validation components, all of which were conducted at the NREL campus between April 2017 and July 2019.
Original languageAmerican English
Number of pages17
DOIs
StatePublished - 2020

NREL Publication Number

  • NREL/TP-5500-75603

Keywords

  • buildings
  • controller
  • energy monitor
  • plug device

Fingerprint

Dive into the research topics of 'IN2 Final Report: Ibis Networks/WattIQ'. Together they form a unique fingerprint.

Cite this