Use of an optimization model for optimization of Turkey’s energy management by inclusion of renewable energy sources

Abstract

In this study, Turkey’s power generation plan between 2018 and 2035 is obtained by using a new mathematical model that aims to make a generation expansion planning to have an acceptable level of a pollutant in the air considering the UN Framework Convention on Climate Change and Kyoto Protocol’s responsibilities of Turkey. The used method is a new fuzzy multi-objective linear programming (MOLP) method by considering the energy objectives of Turkey’s Ministry of Energy (MoE:MENR) and private sector’s energy targets. The multi-objective model aims are (1) energy generation cost minimization of energy production considering all energy-related costs in Turkey, (2) greenhouse gases emission’s reduction, (3) minimizing the imported energy, (4) maximizing efficiency of power plants and (5) minimizing the use of fossil fuels in power plants. By solving this mathematical model, Turkey’s 18-year power generation plan between the years 2018 and 2035 based on mainly renewable sources is formulated, and by 2035 the percentage of renewable energy sources in Turkey’s power generation is increased by 77% which includes 24.7% solar energy, 19.1% wind energy, 18.5% hydro energy, 12.3% biomass under high-demand scenario.