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  • Küçük Resim
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    Multi-objective optimization of energy system with battery storage - A case study of Turkey
    (Elsevier, 2024) Yürek, Yağmur Torul; Özyörük, Bahar; Özcan, 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.
  • Küçük Resim
    Öğe
    Socio-political evaluation of renewable energy resources under uncertain environment
    (Pergamon-Elsevier Science Ltd, 2023) Yürek, Yağmur Torul; Özyörük, Bahar; Özcan, 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.