Abstract
Energy has been an essential factor in determining the governments’ policies. The countries had to produce their own energy to decrease dependency on external resources. That also provided to gain a great importance on investment on power plants. In this study, a multi-objective Mixed-Integer Linear Programming (MILP) model synchronously optimizing five targets determined as decreasing carbon dioxide (CO_{2}) emission, increasing power consumption, increasing power plants, increasing energy generation and installed capacity was used. In described model, it was solved by considering renewable power plants in Turkey and fossil fuel-based power plants having most share in Turkey. By trying to minimize deviation values of Turkey’s 2023 targets, it aimed to determine which power plants need to be increased. To determine the priorities of these targets, Ranking Approach for fuzzy numbers by Liou and Wang (1992) was used. Besides, Fuzzy Analytic Hierarchy Process (AHP) was used to prioritize investment planning of renewable power plants in Turkey and five different kinds of power plants under the visual pollution criteria based on amount of CO_{2} emission released, environmental damage, capital costs, space requirement and provided employment were evaluated.
Highlights
Energy is one of the most essential factors for a country’s social welfare and sustainable development
Multiple criteria decision making (MCDM), with the briefest definition, is a general name given for problem-solving of multiple and conflicted criteria to be achieved
The most advantageous side of this method is that calculation requirement is low and it does not need any additional process by following the steps of classical Analytic Hierarchy Process (AHP)
Summary
Energy is one of the most essential factors for a country’s social welfare and sustainable development. Fuzzy Analytic Hierarchy Process (AHP), which is one of the multiple criteria decision-making methods, was used. By considering environmental damage of power plants, capital costs, space requirement, their advantages and used technological development under the main criteria of social acceptance, the power plants in Turkey were ranked and an order of preference was composed. How many power plants should be built was determined with fuzzy-weighted goal programming method by considering Turkey’s installed capacity, number of power plants, energy generation and targets of demands in 2023. Analytic Hierarchy Process and goal programming that are multiple criteria decision-making methods and fuzzy conditions of these methods were described. Later, it continued with an application and the results were included
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