Scenario-Based Preferences in Development of Advanced Mobile Grid Services and a Bidirectional Charger Network
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4, Issue 2
Abstract
A coordinated network of bidirectional chargers can be useful to improve grid stability and resilience and provide revenues to owner/operators of fleets of electric vehicles. This paper quantifies the resilience of a portfolio of vehicle-to-grid technology investments and milestones when it is subjected to a variety of emergent and future conditions that involve technology, environment, market prices, regulations, organizations, and the like. The technical approach consists of three layers, starting from wide national strategic goals and ending with the specific and targeted needs of an individual initiative. Investigated in this analysis are 5 criteria, 4 scenarios, 15 emergent conditions, and 35 initiatives . The results suggest that the most robust and crucial initiative is , Regional resource planning, and the most disruptive scenario is , Private industry support. The paper has a context in the Systems Engineering Body of Knowledge (SEBoK) (BKCASE Editorial Board 2017) as a systems engineering management methodology that serves to elicit and translate the interests, needs, and knowledge of multiple stakeholders into models of preferences that have a role in the monitoring of emergent and future conditions.
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Acknowledgments
The authors are grateful to the municipality of Danville, Virginia, for a system testbed. This effort was supported in part by Fermata LLC, the National Science Foundation (NSF CRISP2 #1541165), the Virginia Department of Transportation, the Virginia Transportation Research Council, the U.S. Army Corps of Engineers, the Commonwealth Center for Advanced Logistics Systems, and the Virginia Tobacco Region Revitalization Commission. The authors are grateful to University of Virginia undergraduate research students Joseph Fitzsimmons, Samantha Kritzer, Vishnu Muthiah, Jonathan Parmer, Tamara Rykal, and Michelle Stone for their contributions.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4 • Issue 2 • June 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: May 2, 2017
Accepted: Oct 30, 2017
Published online: Apr 3, 2018
Published in print: Jun 1, 2018
Discussion open until: Sep 3, 2018
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