Dynamically Controlled Electric Demand Management System

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-11ER90010
Agency Tracking Number: 97382
Amount: $149,076.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2011
Solicitation Topic Code: 35 a
Solicitation Number: DE-FOA-0000413
Small Business Information
Enhanced Systems Consulting, Inc.
3201 Hanover Road, Johnson City, TN, 37604-1463
DUNS: 878737658
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Matthew Bolton
 Mr.
 (423) 207-4660
 mbbolton@enhancedsystems.com
Business Contact
 Matthew Bolton
Title: Mr.
Phone: (423) 207-4660
Email: mbbolton@enhancedsystems.com
Research Institution
 Stub
Abstract
It is becoming increasingly apparent that we, as a nation, need to quickly develop smarter solutions to control the overall generation and distribution of electrical energy as power demand across the grid expands in response to the increasing population and the growing prospect of energy intensive technologies coming online. Peak demand spikes occurring regularly throughout the power grid have reached unsustainable conditions, and, as a result, more intelligent solutions are needed to: 1) conserve energy by maximizing efficiencies and minimizing energy loss; 2) reduce the burden on the power grid infrastructure during periods of peak demand; 3) reduce the requirement for additional generating capacity; and 4) save the consumer money. The overall goal of the Phase I and Phase II project is to develop an integrated control system software platform in connection with Bristol Tennessee Essential Services (BTES) that measures real-time system demand across a distributed power network and, via closed loop feedback control, responds dynamically by controlling the voltage across the grid on a substation level and the activity of consumer devices (hot water heaters, car chargers, HVAC, etc). Closed-loop control is used to create an optimal solution for: 1) reducing the Power loss associated with long-range distribution, and 2) redistributing the power demand peaks over time to create a flatter power demand curve for both the generators and the distributors. Commercial Applications and Other Benefits: Realizing this technology to its fullest potential would result in a fully deployable software control platform that, initially, can be logistically phased into the 32,000 customer base of BTES, and then systematically delivered across the entire Tennessee Valley Authority distribution system which provides power for approximately 9 million customers. Ultimately, in the more distant future, this solution can be deployed across other electrical power distribution networks across the nation.

* information listed above is at the time of submission.

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