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School of Economics


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Grad student Stephanie Whalley selected to speak at sold out TEDxUMaine 2014 The Student Experience.

Stephanie’s talk is titled: “Toward a Sustainable Energy Future: A Multi-Criteria Decision Analysis of Electricity Options for the United States.”

Abstract: The term “sustainability” has become a popular catch phrase in recent years. Many recent definitions of sustainability emphasize the importance of meeting growing energy needs of both present and future generations while addressing social, environmental, economic and technological limitations. The electric power sector is the single largest consumer of primary energy in the United States, making the sustainability of the sector an essential component of national sustainability goals. Some researchers have compared technologies based on one measure of sustainability such as land or water use, emissions, or cost but very few have attempted to compare multiple electricity generating technologies across many criteria spanning the four main areas of sustainability. Multi-criteria decision analysis (MCDA) is a unique tool that allows multiple measures to be included and weighted and results in an overall ranking of technologies. This research uses MCDA to compare the sustainability of 13 commercially available electricity generating technologies in the United States using the criteria of job creation, the levelized cost of energy, greenhouse gas emissions, water consumption, land use, and capacity factor (the amount of electricity generated in a year divided by the maximum electricity that could be generated based on the facility rating). The resulting sustainability ranking is a helpful summary tool for analyzing the overall sustainability of electricity generating technologies which can be useful for policy making.


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School of Economics
5782 Winslow Hall, Room 206
Orono, ME 04469
Phone: (207) 581-3154 | Fax: (207) 581-4278E-mail: soe@umit.maine.edu
The University of Maine
Orono, Maine 04469
207.581.1110
A Member of the University of Maine System