Wednesday, September 25, 2013 from 12:30 p.m. to 2:00 p.m.
Levelized Cost of Energy Analysis (“LCOE”) is an analytical tool that looks at the comparative cost of various technologies. LCOE is used frequently to guide resource decision making and deployment. The analysis takes into account U.S. federal tax subsidies, fuel costs, capacity factor, cost of capital and other factors. Certain factors such as the potential costs for stranded generation and environmental factors are not, necessarily, included in the model. The financial advisory firm Lazard’s LCOE Analysis Version 7.0 (August 2013) indicates that clean technologies, e.g. wind, biomass, energy efficiency and in some cases solar, are clearly competitive with conventional sources.
Plan to join two notable energy economists as they consider the strengths and weakness of LCOE analysis and the implications of LCOE in evaluating multiple energy sources.
Howard Axelrod, Economist, Energy Strategies
Howard has more than 40 years of experience in the electric and gas utilities industry. He has testified before numerous state regulatory agencies and the Federal Energy Regulatory Commission (FERC) on topics that include resource planning, power contract management and utility operations and management. He has worked for the GE, several State of New York agencies including the NYS Public Service Commission, Planmetrics and Resource Management (now Navigant).
His clients include the Southern Company and Georgia Power, The Energy Authority, New York Power Authority, Mirant, Santee Cooper Power, Brookhaven National Laboratory, Connecticut Municipal Electric Energy Cooperative and Massachusetts Wholesale Electric Energy Company.
Howard has a PhD in Managerial Economics from Rensselaer Polytechnic Institute, a MBA in Marketing from the State University of New York and BSEE & MSEE degrees in Power Systems from Northeastern University. He is a Professional Engineer and Senior Member of IEEE.
Dan’s research focuses primarily on electricity policy and the environment. His current research interest is the development of tools to enable substantially better decision-making in the planning, regulation and operation of electric grids. The most important potential improvement in decision-making concerns pollutant emissions. Shawhan couples grid models with air pollution models to enable the incorporation of health and environmental costs in decisions about which existing power plants would be used each hour, what new plants should be permitted, and where new transmission lines should be built.
Dan has a PhD in Applied Economics and Management from Cornell University and a BA in Economics from Grinnell College.
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Participants can attend for free in person at the Centergy Building on Georgia Tech’s campus or via Webinar.
For more information and to register for this program, visit www.secleanenergy.gatech.edu