Prioritizing Energy Sources to Generate Electricity (Application of Fuzzy Logic)
Bahareh Hashemlou1 * , Hossein Sadeghi2 , Arashk Masaeli3 , Mohammadhadi Hajian3 and Shima Javaheri4
1
Tarbiat Modares University,
Tehran,
Iran
http://dx.doi.org/10.12944/CWE.10.2.05
Organizations, institutions, and different sectors of manufacturing, services and agriculture are constantly making decisions. Each of the aforementioned sectors, have strategies, tactics, and various functions that play a basic role in reaching the objectives. On the other hand, energy demand in developing countries is increasing day by day. The exact calculation of the cost per unit of electricity generated by power plants is not easy. Therefore, this study according to four sources of natural gas, nuclear energy, renewable energy and other fossil fuels other than natural gas that are used in a variety of electricity production plants is trying to clarify the ranking of generation electricity approach using "fuzzy preference relations" analysis. Accordingly, three models were used and the results showed that natural gas, with regard to the four criteria of low investment cost, low power, lack of pollution and the safety and reliability of electrical energy has priority over other alternatives. Full preferred model results also suggested that the energy of natural gas, renewable energies, nuclear and other fossil fuels should be considered in a priority for power generation. Sensitivity analysis results moreover demonstrated that the above models are not affected by the threshold values ​​and the full stability of the models is observed.
Copy the following to cite this article:
Hashemlou B, Sadeghi H, Masaeli A, Hajian M, Javaheri S. Prioritizing Energy Sources to Generate Electricity (Application of Fuzzy Logic). Curr World Environ 2015;10(2) DOI:http://dx.doi.org/10.12944/CWE.10.2.05
Copy the following to cite this URL:
Hashemlou B, Sadeghi H, Masaeli A, Hajian M, Javaheri S. Prioritizing Energy Sources to Generate Electricity (Application of Fuzzy Logic). Curr World Environ 2015;10(2). Available from: http://www.cwejournal.org/?p=12635
