Energy
Davood Manzoor; Vahid Aryanpur
Volume 8, Issue 30 , April 2018, , Pages 67-82
Abstract
This paper mainly focuses on the development of electricity supply system in Iran. A bottom-up energy system model is employed to identify the optimal generation mix. The model minimizes the total system costs using linear mix-integer programming under a set of technical, economic and environmental constraints. ...
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This paper mainly focuses on the development of electricity supply system in Iran. A bottom-up energy system model is employed to identify the optimal generation mix. The model minimizes the total system costs using linear mix-integer programming under a set of technical, economic and environmental constraints. Then, the optimal generation mix is compared with the actual transition pathway during the planning horizon. The comparison of historical development trend with the optimal scenario (model results) indicates that: 1- The average efficiency of thermal power plants is 4.5 percent lower than the optimal conditions, 2- Optimal pathway could save 90 billion cubic meters of natural gas and prevent CO2 emissions of 400 million tonnes over the study period, and 3- The annual additional costs of $630 million was imposed due to lack of funding.
Energy
Atefeh Taklif; Teymoor Mohammadi; Mohsen Bakhtiar
Volume 7, Issue 25 , November 2016, , Pages 147-161
Abstract
In this paper, optimal development of Iran’s power sector over a long-term period from 2015 to 2050 is investigated. In this paper a system-engineering optimization model (MESSAGE) has been used to explore the medium to long-term power supply options. Minimization of the total system costs for ...
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In this paper, optimal development of Iran’s power sector over a long-term period from 2015 to 2050 is investigated. In this paper a system-engineering optimization model (MESSAGE) has been used to explore the medium to long-term power supply options. Minimization of the total system costs for the whole study period is the criterion used for optimization of the MESSAGE model. The main focus of this study is analyzing penetration of renewable energy sources under different scenarios. The main scenarios are defined based on the fossil fuel prices and demand changes. Moreover, the sensitivity analysis is performed to evaluate the impact of the discount rate on the main results. The results indicate that the total installed capacity would be 160 GW in 2050 under an optimistic scenario, while BAU scenario calls for 250 GW capacity in the same year. The share of renewable energy sources and nuclear power plants would achieve to 25% and 15% under the optimistic condition. The findings reveal that development of green technologies requires a reasonable discount rate below 8%.
