Embedded Collaborative Intelligent Generator Management with Grid-Centric Microcontrollers

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,920.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-13-C-0104
Award Id:
n/a
Agency Tracking Number:
O123-EP4-2094
Solicitation Year:
2012
Solicitation Topic Code:
OSD12-EP4
Solicitation Number:
2012.3
Small Business Information
6022 Constitution Ave NE, Albuquerque, NM, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
094142122
Principal Investigator:
Kenneth Blemel
Program Manager
(505) 255-8611
kenny_blemel@mgtsciences.com
Business Contact:
Marlene Blemel
President
(505) 255-8611
kay_blemel@mgtsciences.com
Research Institution:
n/a
Abstract
In Afghanistan, fuel to run electrical generators is a major cost driver. The DoD"s latest method is"right size"with units with multiple generators of different ratings and train soldiers to manually switch generators as demand changes. Typically, demand has wide swings throughout the day and soldiers can"t just stand next to generators to"right size."Inevitably, fuel will be wasted waiting for soldiers to throw the switch. MSI has developed an intelligent control module that employs machine learning to increase energy efficiency of a single tactical generator. Our innovation is to create a new wireless automated switch module that networks with other modules on the grid. They will use alternative energy first and bring the right generators online when alternative and stored energy is insufficient. When demand drops the modules will reverse the strategy to continuously maximize fuel savings 24x7. Our product vision is an install kit packaged to replace the existing manual switch boxes so that retrofit will be quick and easy. Phase I will develop an architecture and a small form factor prototype and demonstrate right sizing three generators and alternative energy sources in realistic conditions.

* information listed above is at the time of submission.

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