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Photo of Roy L. Nersesian

Roy L. Nersesian


Management and Leadership
Bey Hall 155
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Roy L. Nersesian

Professor Nersesian has a B.S. degree in Physics from Rensselaer Polytechnic Institute and an MBA degree from the Harvard Business School.

He served in the U.S. Navy for 8 years on board nuclear powered submarines and has had various positions working for corporations in the shipping field. He changed his career pattern by joining the Monmouth faculty in 1985.

Professor Nersesian has contributed research to various papers and book chapters on solar energy, wind energy, and electricity storage. His research explores how battery capacities can be used to stabilize a utility system under the umbrage when the unreliability of supply meets the uncertainty of demand.


MBA, Harvard Business School

B.S., Rensselaer Polytechnic Institute



Energy Economics, published by Routledge, 2016

Energy Risk Modeling, published by Palisade, 2013

@RISK Bank Credit, Financial Analysis RISKOptimizer for Business, and Applications Evolver Solutions for Business, training manuals published by Palisade Corp., 2011

Energy for the 21st Century: A Comprehensive Guide to Conventional And Alternative Sources, Second Edition, published by M.E. Sharpe, 2010

Energy For The 21st Century, published By M.E. Sharpe, 2007

Corporate Financial Risk Management, published By Praeger, 2004

Tools And Trends For Operations Management, published By Quorum Press, 2000

Scholarly Articles

Nersesian, R. L. & McManus, J. (2020). “Maximizing the Contribution of Renewables in a Utility Energy Mix,” International Journal of Business Continuity and Risk Management, 10(4), 278-306.

Nersesian, R. and K.D. Strang (2017), Feasibility Approaches to Reduce the Unreliability of Gas, Nuclear, Coal, Solar and Wind Electricity Production,” International Journal of Risk and Contingency Management, 6(1), 54-69.

Nersesian, R. and K.D. Strang (2016), “Quantifying the Uncertainty of Energy Creation from Solar and Wind Farms in Different Locations,” International Journal of Risk and Contingency Management, 5(2), 13-46.