Published December 2009 | Version v1
Journal article

Optimum selection of an energy resource using fuzzy logic

  • 1. Nuclear Engineering Department, Faculty of Engineering, Alexandria University, 21544 Alexandria (Egypt)

Description

Optimum selection of an energy resource is a vital issue in developed countries. Considering energy resources as alternatives (nuclear, hydroelectric, gas/oil, and solar) and factors upon which the proper decision will be taken as attributes (economics, availability, environmental impact, and proliferation), one can use the multi-attribute utility theory (MAUT) to optimize the selection process. Recently, fuzzy logic is extensively applied to the MAUT as it expresses the linguistic appraisal for all attributes in wide and reliable manners. The rise in oil prices and the increased concern about environmental protection from CO2 emissions have promoted the attention to the use of nuclear power as a viable energy source for power generation. For Egypt, as a case study, the nuclear option is found to be an appropriate choice. Following the introduction of innovative designs of nuclear power plants, improvements in the proliferation resistance, environmental impacts, and economics will enhance the selection of the nuclear option.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nucengdes.2009.09.002

Additional details

Identifiers

DOI
10.1016/j.nucengdes.2009.09.002;
PII
S0029-5493(09)00429-4;

Publishing Information

Journal Title
Nuclear Engineering and Design
Journal Volume
239
Journal Issue
12
Journal Page Range
p. 3062-3068
ISSN
0029-5493
CODEN
NEDEAU

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.