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A Market-Based Approach to Optimal Power Allocation in Electric Warships

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N65538-10-M-0064
Agency Tracking Number: N093-189-0347
Amount: $69,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N093-189
Solicitation Number: 2009.3
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-03-30
Award End Date (Contract End Date): 2010-10-07
Small Business Information
3000 Kent Avenue, Suite C1-100
West Lafayette, IN 47906
United States
DUNS: 161183322
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Aaron Cramer
 Senior Engineer
 (765) 464-8997
 cramer@pcka.com
Business Contact
 Eric Walters
Title: Vice President
Phone: (765) 464-8997
Email: walters@pcka.com
Research Institution
N/A
Abstract

The proposed work will investigate the feasibility of a market-based power allocation method for shipboard power systems. These systems will encompass more loads demanding more power in order to meet the U.S. Navy’s current and future missions. As power is a scarce resource with alternative uses, the allocation of power within a shipboard power system is posed as an economic problem. As such, PC Krause and Associates proposes to address power allocation with an artificial free market. The equilibrium points reached by free markets can be shown to be efficient in the sense that no market actor can have more without another having less. Thus, if the market actors (in this case, generation, distribution, conversion, storage, and usage devices that comprise the shipboard power system) each act according to microeconomic principles, an efficient solution emerges. The proposed work will frame the economic goals of the actors such that the efficient solution arrived at by the market corresponds to a solution that maximizes the utility of the commanding officer of the vessel. In this way, defining objectives is the only necessary human input, and the artificial market automatically controls individual devices, thereby finding the most efficient method of attaining the objectives.

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

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