Examination of Solar and Wind Energy Hybrid System for Kahramanmaraş Region

Karadöl, İsrafil; Keçecioğlu, Ö. Fatih; Açıkgöz, Hakan; Şekkeli, Mustafa

doi:10.17780/ksujes.321514

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…In the study carried out by Vasu et al, while the incidence of OSAS was between 2 and 26%, it was found to be higher in males (24%) than females (9%) 14 . Karadöl stated in his study that the incidence of OSAS is higher in men than in women 15 . In this study, the risk of OSAS, which is more common in men than in women, is similar to that reported in the literature.…”

Section: Discussionmentioning

confidence: 93%

Determination of the risk of obstructive sleep apnea syndrome in individuals aged 18 years and above

Kiskac,

Kiskac

2023

Rev. Assoc. Med. Bras.

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Section: Discussionmentioning

confidence: 93%

Determination of the risk of obstructive sleep apnea syndrome in individuals aged 18 years and above

Kiskac,

Kiskac

2023

Rev. Assoc. Med. Bras.

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“…Image processing is widely used in agricultural applications such as color analysis of agricultural products, quality control, classification, detection of weeds, spraying and automation processes in agriculture. Many studies have been conducted in this field (Kilic et al, 2007;Chen et al, 2010;Sabanci et al, 2012;Cai et al, 2013;Sofu et al, 2013;Paap, 2014;Sabanci and Aydin, 2014;Rahman et al, 2015;Demir et al, 2016;Yilmaz, 2016;Karadol, 2017;Sert, 2018;Sharif et al, 2018;Solak and Altinisik, 2018;Turkoglu et al, 2020). In this study, the aim was to estimate the weight of the pods based on the area they occupy on the image with the limited irrigation method for soybean seeds.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Soybean Seeds Weight Using Image Processing

Karadöl

KUZU

Keten

2023

Black Sea Journal of Agriculture

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Today, image processing techniques are frequently used in irrigation, fertilization and spraying applications in order to increase agricultural input efficiency and product quality. In this study, the relationship between the image and weight of soybeans was investigated. For this purpose, some image processing applications were carried out on the images of soybeans grown with the deficit irrigation (100%, 75, 50 and 25) method. In the study, the relationship between the weight of soybeans and the number of pixels occupied on the images was 88.78%. The weights belonging to the displayed soybean grains decreased from 100% watered to 50% watered, in the 25% irrigated area, it increased again. The 25% irrigated case created significant stress for soybeans. However, as in some plants, this situation caused an increase in grain weight in soybeans.

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“…In recent years, there has been a rapid development in the installation of wind power plants (WPP) all around the world. There has been a lot of studies about wind energy and WPP installation (Sekkeli et al 2015a;Feng and Shen 2015;Long and Zhang 2015;Sekkeli et al 2015b;Karadöl et al 2017;Abdelsalam and El-Shorbagy 2018;Yang et al 2019;Celik et al 2019). Due to this rapid increase in WPP installation, wind turbines micro-siting has been an important research topic.…”

Section: Introductionmentioning

confidence: 99%

Wind power plant layout optimization using particle swarm optimization

Çelik¹

2021

Turkish Journal of Engineering

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The use of wind energy has rapidly increased in recent years. In parallel with this rapid increase, Wind Power Plant (WPP) installation has become an important research topic. The selection of wind turbine location in WPP installation effects turbine output power. If the appropriate turbine position is not selected, the total generation of WPP is decreased. The purpose of this study was to determine the locations that wind turbines can achieve the highest energy generation. In this study, an optimization model was proposed to achieve the best WPP layout. In the first stage, field data and Wind Atlas Analysis and Application Program (WAsP) software were used to obtain wind speed distributions in the region where the WPP will be installed. . These distributions were used in the developed optimization model in MATLAB. The actual power curve of a wind turbine was used in the model to calculate energy generation. In the second stage, the locations of the wind turbine were determined by particle swarm optimization (PSO) method. In the final stage, the results of developed MATLAB model were compared with WASP to check accuracy. The difference between MATLAB model and WAsP software was found as 0.04%. This result showed that this model performed a calculation with acceptable accuracy. In addition, it was seen that wind turbines were located to the high wind velocity regions with the solution of the developed optimization model.

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Examination of Solar and Wind Energy Hybrid System for Kahramanmaraş Region

Cited by 7 publications

References 2 publications

Determination of the risk of obstructive sleep apnea syndrome in individuals aged 18 years and above

Determination of the risk of obstructive sleep apnea syndrome in individuals aged 18 years and above

Estimation of Soybean Seeds Weight Using Image Processing

Wind power plant layout optimization using particle swarm optimization

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