Optimum selection of an energy resource using fuzzy logic
| Autor: | Ayah E. Abouelnaga, Mohammad Nagy, Saeed Agamy, Abdelmohsen Metwally |
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| Rok vydání: | 2009 |
| Předmět: |
Nuclear and High Energy Physics
Engineering business.industry Mechanical Engineering Environmental engineering Nuclear power Environmental economics Fuzzy logic Electricity generation Resource (project management) Nuclear Energy and Engineering Hydroelectricity General Materials Science Environmental impact assessment Safety Risk Reliability and Quality business Energy source Waste Management and Disposal Selection (genetic algorithm) |
| Zdroj: | Nuclear Engineering and Design. 239:3062-3068 |
| ISSN: | 0029-5493 |
| DOI: | 10.1016/j.nucengdes.2009.09.002 |
| Popis: | 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 CO 2 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. |
| Databáze: | OpenAIRE |
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