Volume 15, Issue 3 (2015)                   QJER 2015, 15(3): 91-118 | Back to browse issues page

‎ 20.1001.1.17356768.1394.15.3.2.2

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
sadeghi H, azar A, khaksarastaneh S. An Optimization of Supplying Energy Sources for Generating Electricity: Iran’s 2025 Vision. QJER 2015; 15 (3) :91-118
URL: http://ecor.modares.ac.ir/article-18-585-en.html
An Optimization of Supplying Energy Sources for Generating Electricity: Iran’s 2025 Vision
Hossein Sadeghi * 1, Adel Azar2 , Samaneh Khaksarastaneh3
1- Associate Professor of Economics, Tarbiat Modares University, Corresponding Author (E-mail: sadeghih@modares.ac.ir)
2- Professor of Management, Tarbiat Modares University, (E-mail: Azara@modares.ac.ir)
3- Ph.D. student of Economics, Allameh tabataba'i University, (E-mail: saman.astaneh@yahoo.com
Abstract:   (9708 Views)
With regard to the increasing demand for energy to meet various needs, renewable energies should be achieved. The scholars believe that renewable and clean energies can be the first alternative to generate power, if we take into account the limited fossil fuels and environmental pollution.  Iran is of numerous capabilities in generating new and renewable energies. This study aims to present an optimum model to develop renewable energies, which reduces the environmental pollution in addition to supply the required power. By minimizing the objective function and regarding 3 types of limitations on sources, demands and techniques, and using robust optimization method, we propose a model for Iranian energy sector at the 2025 horizon in which 15% of electricity is generated using solar energy. 
Keywords: Renewable energies, Solar Energy, Optimum model, Robust optimization, Iran
Full-Text [PDF 426 kb]   (8066 Downloads)    

Received: 2013/01/12 | Accepted: 2013/10/30 | Published: 2015/10/23
Add your comments about this article : Your username or Email:
CAPTCHA
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.