Fariba Asadi; Mohammad Hossein Karim; Majid Feshari
Abstract
Despite the high potential of geothermal energy in Iran, only 100 MW of geothermal power will be produced in 2017, Because noticeable amount of subsides have allocated to fossil fuels plants in recent years. This study aims to compare final cost of geothermal electricity with electricity cost of other ...
Read More
Despite the high potential of geothermal energy in Iran, only 100 MW of geothermal power will be produced in 2017, Because noticeable amount of subsides have allocated to fossil fuels plants in recent years. This study aims to compare final cost of geothermal electricity with electricity cost of other kinds of prevalent power plants in Iran. The levelized cost method includes investment, operation and maintenance, fuel and pollution costs of each technology which produce electricity. Comparison of final costs of electricity on export price of fules and externalities costs reveals that high capacity factor, independence on fossil fuels and low emission costs, would make geothermal power plants competitive with other power plants in Iran. This study suggests that the liberalization of energy prices has a significant effect on geothermal power development in Iran and could provide the possibility for exporting more natural gas to foreign countries.
Mohammad Saeed Khani; Esmaeil Fallahi; Mehdi Baneshi
Abstract
These days, achieving an optimal model and defining a comprehensive map for energy supply have become necessary in Iran. Considering a holistic approach and drawing a desired state in the different aspects of sustainability, including technical, economic and environmental criteria, this study introduces ...
Read More
These days, achieving an optimal model and defining a comprehensive map for energy supply have become necessary in Iran. Considering a holistic approach and drawing a desired state in the different aspects of sustainability, including technical, economic and environmental criteria, this study introduces an optimal model in order to achieve cost-effective and environment-friendly energy resources under various 100 to 500-year scenarios using a genetic algorithm. Results determined the appropriate portfolio of energy resources in each mentioned period. According to the results, the share of fossil fuels to supply energy is higher than the other resources and the relative impact of financial indicator is more substantial than the environmental indicator in short-run, while this trend is rapidly changing toward renewable energy resources; so that a share of 63 percents of fossil fuels in the 100-year period has changed to the share of 62 percents of renewable energies during the 500-year period. Also estimating the harvest of each of the energy resources from there source capacity over a year showed that, along with increasing the length of various scenarios, the use of renewable and environment-friendly resources is recommended nearly full capacity utilization.
