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Cognitive Residential Heat Pump Fault Detection and Diagnostic Datalogger

Award Information
Agency: Department of Commerce
Branch: National Institute of Standards and Technology
Contract: 70NANB14H292
Agency Tracking Number: 033-01.01-2014
Amount: $89,987.78
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 9.01.01.73-R
Solicitation Number: N/A
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): 2015-04-01
Small Business Information
6022 Constitution Ave., NE
Albuquerque, NM 87110-
United States
DUNS: 094142122
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Kenneth Blemel
 (505) 255-8611
 Kenny_Blemel@mgmtsciences.com
Business Contact
 Kenneth Blemel
Phone: (505) 255-8611
Email: kennyblemel@mgmtsciences.com
Research Institution
N/A
Abstract

Millions of heat pumps are used to heat and cool homes and buildings year round. Continuous operation means that components wear out at a greater rate. As a result, maintenance of residential heat pumps is a major cost driver. Current methods focus on reduced use through control settings. Typically, demand has wide swings throughout the day and people are unable to customize controls. Inevitably, energy is wasted until a fault is discovered and a maintenance technician replaces a faulty part. MSI’s patented user-programmable microcontroller module performs sensor data monitoring, datalogging, processing, control, and communications to smartphones and tablets. We propose to exploit this technology for increasing the efficiency of heat pumps and reducing maintenance costs by aggressive goal-seeking control and simultaneous real time monitoring for stresses, degradation, and equipment faults using deductive modeling. Our product vision is an easy-to-install, plug-and-play kit that connects to the existing equipment and household sensors. In Phase I, MSI will start with a cloud demonstration of the current technology in action at our current off-the-grid demonstration site. Next, we will perform research and value engineering to architect and produce a small, form factor prototype specifically for improving heat pump performance, safety, reliability, and ownership costs.

* Information listed above is at the time of submission. *

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