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.2009.09.002Additional 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
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41079666
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- AVAILABILITY; CARBON DIOXIDE; COST ESTIMATION; ECONOMICS; EGYPTIAN ARAB REPUBLIC; ENERGY SOURCES; ENVIRONMENTAL IMPACTS; ENVIRONMENTAL PROTECTION; FUZZY LOGIC; HYDROELECTRIC POWER; NATURAL GAS; NUCLEAR POWER; NUCLEAR POWER PLANTS; PETROLEUM; POWER GENERATION; PROLIFERATION
- Descriptors DEC
- AFRICA; ARAB COUNTRIES; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; DEVELOPING COUNTRIES; ELECTRIC POWER; ENERGY SOURCES; FLUIDS; FOSSIL FUELS; FUEL GAS; FUELS; GAS FUELS; GASES; MATHEMATICAL LOGIC; MIDDLE EAST; NUCLEAR FACILITIES; OXIDES; OXYGEN COMPOUNDS; POWER; POWER PLANTS; RENEWABLE ENERGY SOURCES; THERMAL POWER PLANTS
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.