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- MakaleAçık Erişim2026Scopus SJRQ1Analyzing Failures In Wind–Solar Hybrid Energy Systems Using a Fuzzy-Based BWM-MARCOS Approach: Challenges and Solutions
Başhan, Veysi; Yucesan, Melih; Demirel, Hakan; Gul, Muhammet
The reliability of hybrid renewable energy systems (HRES) depends heavily on the identification and management of potential failure modes. This study employs a fuzzy-based BWM-MARCOS approach to systematically analyze and prioritize failure modes within wind–solar hybrid systems. The model aims to prioritize the failures considering four important risk parameters: (1) severity of the failure on system, staff, and failure, (2) failure occurrence chance, (3) effort and ease of detecting the cause of the failure, and (4) economic impact of the failure. In this context, four key risk indicators were evaluated to rank failures, revealing that SP1 (cell damage), ESS1 (battery degradation), and WT11 (battery fire) are the most critical due to their potential impact on system operations. Sensitivity analysis confirmed the stability of these rankings under varying parameter weights. Additionally, cross-method validation using fuzzy TOPSIS, SAW, and MARCOS demonstrated high correlation coefficients, underscoring the reliability of the results. Tailored mitigation strategies, including advanced diagnostics, durable materials, and robust monitoring systems, are proposed to address these critical failures. While the current methodology applies to various HRES configurations, future research should incorporate real-world operational data and machine learning techniques to enhance predictive capabilities and dynamic risk management.
AtıfScopus7WoS7OpenAlex8
İncele - MakaleYalnız künye2023Scopus SJRQ4Development of a best-worst method based MCDM approach for solar power plant location selection: an application to Tunceli, Turkey
Aykac, Yunus Emre; Yucesan, Melih; Gul, Muhammet
Solar energy stands out with its increasing potential in the world. The decision to choose the location of a solar power plant is very important due to the investment return. In this study, a solar power plant site selection for Tunceli, Turkey is studied with a two-stage multi-criteria decision-making approach. In the first stage, the importance levels of the determined nine factors are obtained by the best-worst method (BWM). In the second stage, the most appropriate site is selected among the eight districts of Tunceli. As a result of the first stage, solar and fault line emerged as the most and least important factor, respectively. The second stage showed that Pertek district is the most suitable place. A comparative framework has been created including five different MCDM methods, which strengthens the final decision's accuracy and reveals whether each method's results are correlated.
AtıfScopus5OpenAlex3İncele - Yüksek Lisans TeziAçık Erişim2022Fotovoltaik (PV) panellerde verim artırma yöntemlerinin incelenmesi
Nuriye Eryılmaz
Dünya üzerindeki nüfusun hızla artması ve teknolojideki hızlı gelişmelere bağlı olarak yeryüzündeki enerji kaynakların hızla tükenmesi ayrıca fosil yakıtların insan sağlığına ve çevreye olumsuz etkileri alternatif enerji kaynaklarına yönelimi zorunlu kılmaktadır. İşte bu noktada doğal enerji kaynakları içerisinde dünya için en önemlisi olan güneş enerjisinden maksimum düzeyde faydalanmak için fotovoltaik paneller dediğimiz teknolojik sistemler geliştirilmekte ve bu sistemlerden en iyi şekilde faydalanmak için çalışmalar yapılmaktadır. Fotovoltaik sistemler güneş enerjisini doğrudan elektrik enerjisine dönüştüren güneş enerjisi ile çalışan pillerden oluşur. Enerji tasarrufu ve çevresel kaygılar nedeniyle PV ve PV/T sistemleri büyük öneme sahip olmuştur. Bu sistemlerdeki gelişmelerin enerji tasarrufu, daha temiz yaşanılabilir bir çevre için büyük öneme sahip olacağı öngörülmektedir. Bu çalışmada genel olarak PV panellerin verimlerinin artırılması ile ilgili denenen yöntemler üzerinde geniş kapsamlı bir araştırma yapılmış olup verim artırma yöntemlerinin neler olduğu, hangi yöntemler üzerinde durulduğu uygulama teknikleri ve sonuçları derlenip sunulacaktır. Böylece PV panellerde verim artırma yöntemlerini genel hatlarıyla açıklayan bir tez çalışması oluşturulmuştur.
- MakaleYalnız künye2021TREND ANALYSIS OF THE EFFECT OF RAIN ON SOLAR ENERGY PRODUCTION IN A SUSTAINABLE FUTURE
Korkmaz, Meral
The greatest need of the modern world is energy. From production to consumption, energy has become essential in all areas. As fossil-derived energy production systems cause global warming and climate change, interest in renewable energy sources is increasing. Despite the pandemic, solar production has shown promising growth throughout the world. Turkey has been encouraging investments in renewable energy sources, especially solar energy, for the last 10 years. Feasibility studies before the installation of solar power plants are crucial for investors. As a result of feasibility studies, the cost of the investment and the depreciation period can be calculated. In this study, feasibility studies of the 474 kWp power plant in Samsun province were carried out with PVsyst program. Significant differences were found between the software results and the actual results of the solar plant built in Samsun province. Production losses between actual data and numerical data are thought to be related to meteorological data. There are numerous studies in the literature about PV software. However. current studies have not examined the effect of meteorological data of the region on the difference in production between PV software results and solar power plant production values. In this study, the Sen method was used to determine the precipitation trend by taking meteorological data from Samsun province. With this method, rainfall in Samsun province was seen to be on an upward trajectory. For this reason, in regions where there is a lot of precipitation; feasibility studies of solar power plants are falling by approximately 9 percent.