Yazar "Ozyoruk, Bahar" seçeneğine göre listele

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    Evaluation of the hybrid renewable energy sources using sustainability index under uncertainty
    (Elsevier, 2021) Yurek, Yagmur Torul; Bulut, Merve; Ozyoruk, Bahar; Ozcan, Evrencan
    Asa result of continuous growth in population, efforts to meet increasing energy demand in a balanced way in the future as it is today, has led to the emergence of the sustainability concept. Sustainability is mainly considered with technical, economic, environmental and social aspects, hence the most effective instruments to ensure sustainability are renewable energy technologies which are interchangeably used for sustainability. Renewable energy problems regarding sustainability have inherently conflicting goals with a high degree of ambiguity and complexity. To address these problems, multi-criteria decision making (MCDM) approach serve best. Therefore, in this study, a MCDM approach integrating Pythagorean fuzzy sets (PFSs) in AHP-TOPSIS method combination was used to calculate the sustainability index and for ranking renewable energy technologies, hybrids and battery energy storage systems (BESSs) in Turkey. The sustainability index was handled in three main aspects, i.e., uninterrupted supply, economic supply and environmentally friendly supply. The results pointed out that hydro + solar and wind + solar hybrid alternatives have the highest sustainability index value while geothermal and biomass rank as the lowest two alternatives energy technologies. (C) 2021 Elsevier Ltd. All rights reserved.
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    Öğe
    The goal programming approach for the assembly area workload distribution problems
    (Gazi Univ, Fac Engineering Architecture, 2009) Ozyoruk, Bahar; Akgun, M. Bilgehan
    In the real life, the systems generally have multiple and confliction aims. In the airplane industry, the elements of zero defect and punctual delivery are significant for security and prestige. However, it is obvious that the rapid and intensive production for punctual delivery would increase the level of defect. In this respect, our study aimed to solve the problem of workload distribution to alternative assembly cells in an air vehicle producing factory in regards to those elements. Throughout the solution process, the technique of goal programming, which finds out the effective solution after evaluating the confliction aims at the same time, is used. With this technique, the elements of zero defect and punctual delivery are aimed to be obtained at the same time without ignoring the costs. Therefore, it was planned to have full work at alternative montage cells and to meet the demands in the same week. By using the standard work as full, the overtime at assembly cells has lessened and therefore, the production costs have decreased. In addition, by meeting the demands in the same week, the risk of delay in the delivery has been removed.
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    Multi-objective optimization of energy system with battery storage - A case study of Turkey
    (Elsevier, 2024) Yurek, Yagmur Torul; Ozyoruk, Bahar; Ozcan, Evrencan
    Transition to clean energy sources is currently a paramount concern, necessitating the development of a robust long-term energy strategy and effective resource planning. This planning must encompass not only the economic and technical attributes of renewable energy resources but also their societal and environmental impacts, as these aspects significantly influence the feasibility of sustainable energy plans. To address these challenges, this study explores the application of multi -objective optimization methods, known for their ability to simultaneously consider multiple objectives. In this research, we propose a multi -objective linear programming model to allocate electricity generation among a range of 13 power plant alternatives for the planning horizon spanning 2022 to 2030. The selection of these alternatives incorporates two -source hybrid systems and battery storage systems due to their contributions to system stability and flexibility. The findings of this study indicate that wind and solar resources hold the largest share of electricity generation at 34% followed closely by hydro contributing to 30% of the generation. Notably, storage systems, particularly battery energy storage systems, are ranked lower due to their lower scores in socio-political and sustainability indices, as well as higher unit generation costs. It is worth noting that battery energy storage systems represent a relatively novel technology in Turkey, with potential for improving system reliability in the future, even though the majority of generation currently stems from existing and hybrid facilities.
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    Öğe
    Socio-political evaluation of renewable energy resources under uncertain environment
    (Pergamon-Elsevier Science Ltd, 2023) Yurek, Yagmur Torul; Ozyoruk, Bahar; Ozcan, Evrencan; Bulut, Merve
    Countries are developing green transition policies to reduce their dependency on conventional resources and to eliminate environmental concerns while meeting increasing energy demand. Renewable energy, thus, has a crucial effect on accomplishing these policies. To ensure a rapid spread of renewable energy and develop resilient renewable energy policies concerning the evaluation of renewable energy resources, socio-political factors should be considered. However, evaluating renewable energy technologies regarding the socio-political aspect is clearly more difficult and uncertain than a study focused only on quantifiable objectives, but it is critical since real projects are affected by such aspects. Multi-criteria decision-making (MCDM) techniques are best for addressing such issues with conflicting objectives. In this study, an integrated AHP-TOPSIS method with Py-thagorean fuzzy sets (PFSs) was used to create the socio-political index for evaluating renewable energy hybrid technologies and Battery Energy Storage Systems (BESSs) in Turkey. The results showed that while solar energy has the highest socio-political index, Run of River with BESSs alternative ranks as the lowest.