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Öğe Combining Floating Offshore Wind and PV: Challenges, Opportunities and a Case Study Application(Institute of Physics, 2025) Dimishkovska, Natasha; Öztürk, Samet; Maraj, Altin; Grozdanovi?, Milan Z.The transition from traditional fossil fuels to renewable energy sources is a critical component in addressing the global challenges of climate change, energy security, and sustainable development. Renewable energy sources are essential in reducing greenhouse gas emissions, diversifying energy supplies, and promoting sustainable economic growth. Integrating Floating Offshore Wind Farms (FOWF) and Floating Offshore PV (FOPV) systems separately is a well-established technology, with numerous ongoing and upcoming projects. However, the combined deployment of FOWF and FOPV systems is still in its experimental phase. This study aims to introduce the challenges and opportunities of combining both technologies, focusing on a case study near the east coast of Gökçeada Island, Türkiye. The case study evaluates the technical and economic possibility of deploying a combined 50 MW FOWF and a 20 MW FOPVS, resulting in 230 GWh yearly production of clean energy. © Published under licence by IOP Publishing Ltd.Öğe Evsel katı atıklardan elektrik üretimi: Bursa örneği(Balıkesir University, 2024) Öztürk, Samet; Seymenler, Harun; Akgül, Anıl; Uca, YusufEvsel katı atıklardan yakma yöntemiyle enerji kazanımı yaygınca kullanılan katı atık bertaraf yöntemlerinden biridir. Bu sayede hem atık hacmi önemli ölçüde azaltılmış olur hem de yakma yöntemiyle kazanılan enerji ile elektrik ve ısı eldesi sağlanmış olur. Bu çalışmada dünyada yaygınca uygulaması bulunan evsel katı atık yakma yönteminin Bursa ili için tekno-ekonomik analizi yapılmıştır. Çalışmada Bursa ilinde açığa çıkan evsel katı atık miktarı resmi veriler kullanılarak, potansiyel elektrik enerjisi geri kazanımı hesaplanmıştır. Bu çalışma sonucunda Bursa’da yanabilir evsel katı atıkların ısıl değeri 14 MJ/kg olarak hesaplanmış olup, bu atıkların değerlendirildiği bir yakma tesisisin yıllık yaklaşık 25 milyon dolar getir sağlayacağı ve 7,4 yılda tesisin kendini amorti edeceği hesap edilmiştir.Öğe Ranking Candidate Offshore Wind Power Sites Using SMART Technique: A Case Study on Türkiye(Springer Nature, 2025) Öztürk, SametOffshore wind energy becomes one of the promising energy sources around the globe due to its high energy yield and reducing investment cost. Türkiye is surrounded by coasts with great wind energy potential. Although there are more than 12 GW installations of onshore wind in the country, there is not a single plant of offshore wind as of 2024 in the country. Along this line, the Turkish Ministry of Energy and Natural Resources (MENR) set a 5 GW offshore wind installation goal for 2035. There are candidate areas for offshore wind installations, however the priorities among these areas are not discussed in detail in the literature. This study utilizes Simple Multi-Attribute Rating Technique (SMART) to rank candidate suitable regions for offshore power installations for Türkiye. Eight criteria, namely wind potential, water depth, shipping density, bird migration density, port availability, closeness to relevant industry, number of touristic regions and number of electrical substations nearby are selected to rank the candidate sites. The results show that Karabiga region comes first followed by Bozcaada and Bandırma regions. Hoşköy coast has the least scores among all four candidate areas. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.Öğe Başlıksız(Mdpi, 2020) Öztürk, Samet; Fthenakis, VasilisOperation and maintenance (O&M) costs, and associated uncertainty, for wind turbines (WTs) is a significant burden for wind farm operators. Many wind turbine failures are unpredictable while causing loss of energy production, and may also cause loss of asset. This study utilized 753 O&M event data from 21 wind turbines operating in Germany, to improve the prediction of failure frequency and associated costs. We applied Bayesian updating to predict wind turbine failure frequency and time-to-repair (TTR), in conjunction to machine learning techniques for assessing costs associated with failures. We found that time-to-failure (TTF), time-to-repair and the cost of failures depend on operational and environmental conditions. High elevation (>100 m) of the wind turbine installation was found to increase both the probability of failures and probability of delayed repairs. Furthermore, it was determined that direct-drive turbines are more favorable at locations with high capacity factor (more than 40%) whereas geared-drive turbines show lower failure costs than direct-drive ones at temperate-coastal locations with medium capacity factors (between 20% and 40%). Based on these findings, we developed a decision support tool that can guide a site-specific selection of wind turbine types, while providing a thorough estimation of O&M budgets.
