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Provide an Optimum Model for Renewable Energy Development in Iran; Robust Optimization Approach

Authors: Samaneh Khaksar Astaneh; Hossein Sadeghi;

Provide an Optimum Model for Renewable Energy Development in Iran; Robust Optimization Approach

Abstract

With regard to the ever-increasing need for energy in current societies to satisfy various requirements, scientists and researchers from different countries, such as Iran, have a basic approach in their agenda to achieve renewable energies. The scientists believe that with regard to the limited fossil fuels and their environmental pollutions, renewable and clean energies can be the first alternative to generate energy. Our country, Iran, has numerous capabilities in the field of generating new and renewable energies. This fact emphasizes the need for an optimum model to develop the use of renewable energies. In line with this objective the costfunction is chosenas the objective function. Given the potential and limits ofrenewable energy (resources Limited), Consumptionof electricpowerin each of16regions (apply Limited) confidencelimits of renewable energy (technical limitations), the model was designed and with use Robust optimization model was solved in LINGO software.The optimum of using renewable energies suggests the 36.71% generation of small hydropower energy, 18.22% wind energy, 17.19% biomass energy, 13.43% geothermal energy, 12.53% tidal energy, and 1% solar energy.

Keywords

Renewable energy; Optimum Model; robust optimization; Iran, H, Social Sciences, HD9502-9502.5, Energy industries. Energy policy. Fuel trade

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold