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    Energy investment planning in turkey: An evaluation with fuzzy analytical hierarchy process
    (World Scientific Publishing Co. Pte Ltd, 2016) Baysal, Mehmet Emin; Çetin, Nazlı Ceren
    In this paper, renewable and sustainable energy investment projects in Turkey have been discussed. Seven types of different energy resources have been evaluated according to experts’ linguistic evaluations. Triangular fuzzy numbers were used to represent these evaluations. Then, ranked positions of each resource were obtained by Fuzzy Analytical Hierarchy Process. © 2016 by World Scientific Publishing Co. Pte. Ltd.
  • [ X ]
    Öğe
    Power plant planning in Turkey: An evaluation with integer fuzzy weighted goal programming model
    (World Scientific Publucation, 2016) Çetin, Nazlı Ceren; Baysal, Mehmet Emin; Zeng, X; Lu, J; Kerre, EE; Martinez, L; Koehl, L
    This paper is about rapidly increasing usage of renewable and sustainable energy investment projects in Turkey these days. On account of having both monetary and harmful effects on the environment, the energy produced by fossil fuels needs to be determined how complex its sources, location and type will be. Because sustainability of such investments may reveal some problems when considered it is thought about current technological advances. The usage of integrated multi-objective decision making approaches is much more appropriate to overcome such problems. The seven energy sources in Turkey are considered in accordance with existing statistics and 2023 projections. The deviations from goals has been measured by an integer fuzzy weighted goal programming model.
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    Öğe
    Priority ranking for energy resources in Turkey and investment planning for renewable energy resources
    (SPRINGER HEIDELBERG, 2018) Baysal, Mehmet Emin; Çetin, Nazlı Ceren
    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 (CO2) 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 andWang (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 CO2 emission released, environmental damage, capital costs, space requirement and provided employment were evaluated.