Person: TEKİN, YÜCEL
Loading...
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
TEKİN
First Name
YÜCEL
Name
5 results
Search Results
Now showing 1 - 5 of 5
Publication Energy and emission benefits of chicken manure biogas production: A case study(Springer, 2021-03-01) Ulusoy, Yahya; Ulukardeşler, Ayşe Hilal; Arslan, Rıdvan; Tekin, Yücel; ULUSOY, YAHYA; ULUKARDEŞLER, AYŞE HİLAL; ARSLAN, RİDVAN; TEKİN, YÜCEL; Teknik Bilimler Meslek Yüksekokulu; 0000-0003-2658-3905; 0000-0002-0111-6879; 0000-0003-3665-7680; 0000-0001-6563-5785; J-3560-2012; V-1754-2018; AAH-9267-2019; AAG-6056-2021Studies on the production of biogas of different organic materials in an anaerobic environment are being carried out all over the world. The most important parameters in these researches can be listed as raw material potential, production processes, economic analyses, and environmental effects. Chicken manure is one of the raw materials used in biogas production. In this study, in addition to the analysis of biogas and energy production potential from chicken manure, greenhouse gas emissions were analyzed to evaluate environmental effects. In Turkey, chicken manure is not adequately processed and causes environmental pollution. The model biogas plant and potential energy generation were researched in this field study. The pilot plant produces 8.58 million m(3) of biogas per year by processing about 110 thousand tons of waste. It produces 17 GWh/year of electricity and 16 GWh/year of thermal energy, as well as reducing CO2 greenhouse gas emissions by 13.86 thousand tons/year.Publication A modular training project for vocational education and improvement in Turkey(Sage Publications Ltd, 2009-04-01) ARSLAN, RİDVAN; TEKİN, YÜCEL; Yazıcı, Murat; YAZICI, MURAT; Kuş, Abdil; KUŞ, ABDİL; Kaynak, Z. Gökay; Ziraat Fakültesi; 0000-0002-0111-6879; 0000-0002-8720-7594; J-3560-2012; M-4741-2017; V-1754-2018; AAG-9412-2021Various vocational training methods, most of which overlap with lifelong learning programmes, are being used to address the problem of unemployment - an issue of vital importance, especially for developing countries. This article examines the introduction of a modular certification project in Turkey supported by EU training funds. The objective of the project is to enable people who are unemployed to find work and people in employment to improve their professional skills and competences, and therefore their opportunities. The researchers observed the employment status and development of the 245 people who received a certificate. They found that 89% either had found work in a sector consistent with their training, thanks to their participation in the project, or had to taken up a different position in their current field of employment.Publication Geometric and mechanical properties of mung bean (Vigna radiata L.) grain:: Effect of moisture(Taylor & Francis Inc, 2008-01-01) Ünal, Halil; Işık, Eşref; İzli, Nazmi; Tekin, Yücel; ÜNAL, HALİL; Işık, Eşref; İZLİ, NAZMİ; TEKİN, YÜCEL; Teknik Bilimler Meslek Yüksekokulu; Tarım Makinaları Bölümü; R-7996-2016; J-3560-2012; AAH-4410-2021; CVV-6593-2022In this research, selected geometric and mechanical properties of mung bean grain were evaluated as a function of moisture content. Five levels of moisture content ranging from 7.28 to 17.77% d.b. (dry basis) were used. The average length, width, thickness, arithmetic and geometric mean diameters, sphericity, thousand grain mass and angle of repose ranged from 5.145 to 6.199 mm, 3.760 to 4.474 mm, 3.537 to 4.223 mm, 4.147 to 4.965 mm, 4.090 to 4.893 mm, 0.795 to 0.789, 52.3 to 64.6 g, and 25.87 to 29.38 degrees as the moisture content increased from 7.28 to 17.77% d.b., respectively. The bulk density was found to be decreased from 821.3 to 745.2 kg/m(3), whereas the grain volume, true density, porosity, terminal velocity, and projected area were found to be increased from 27.88 to 47.33 mm3, 1230.0 to 1456.7 kg/m(3), 30.43 to 46.57%, 4.86 to 5.29 m/s, and 17.48 to 19.26 mm(2), respectively. There is a 43% increase in surface area from grain moisture content of 7.28 to 17.77% d.b. The static coefficient of friction on various surfaces increased linearly with the increase in moisture content. The rubber as a surface for sliding offered the maximum friction followed by galvanised iron, medium density fibreboard, stainless steel, aluminium and glass sheet. As moisture content increased from 7.28 to 17.77%, the rupture forces values ranged from 67.39 to 39.44 N; 63.86 to 42.18 N, and 53.96 to 41.79 N for thickness (Z axis), length (Y-axis) and width (X-axis), respectively.Publication Energy and emission benefits of chicken manure biogas production: A case study(Springer Heidelberg, 2021-03-01) Ulusoy, Yahya; ULUSOY, YAHYA; Ulukardeşler, Ayşe Hilal; ULUKARDEŞLER, AYŞE HİLAL; Arslan, Rıdvan; ARSLAN, RİDVAN; Tekin, Yücel; TEKİN, YÜCEL; Teknik Bilimler Meslek Yüksekokulu; 0000-0003-2658-3905; 0000-0002-0111-6879; AAH-9267-2019; J-3560-2012; V-1754-2018Studies on the production of biogas of different organic materials in an anaerobic environment are being carried out all over the world. The most important parameters in these researches can be listed as raw material potential, production processes, economic analyses, and environmental effects. Chicken manure is one of the raw materials used in biogas production. In this study, in addition to the analysis of biogas and energy production potential from chicken manure, greenhouse gas emissions were analyzed to evaluate environmental effects. In Turkey, chicken manure is not adequately processed and causes environmental pollution. The model biogas plant and potential energy generation were researched in this field study. The pilot plant produces 8.58 million m(3) of biogas per year by processing about 110 thousand tons of waste. It produces 17 GWh/year of electricity and 16 GWh/year of thermal energy, as well as reducing CO2 greenhouse gas emissions by 13.86 thousand tons/year.Publication Fusion of gamma-rays and portable x-ray fluorescence spectral data to measure extractable potassium in soils(Elsevier, 2022-07-06) Nawar, Said; Richard, Florence; Kassim, Anuar M.; Mouazen, Abdul M.; Tekin, Yucel; TEKİN, YÜCEL; Teknik Bilimler Meslek Yüksekokulu; GGM-1129-2022The detection and mapping of plant-extractable potassium (K-a) using proximal soil sensing and data fusion (DF) techniques are essential to optimise K2O fertiliser application, improve crop yield, and minimise environmental and financial costs. This work evaluates the potential of combined use of portable gamma ray and x-ray fluorescence spectroscopy for in field detection and mapping of K-a. After subjected to various pre-processing methods, spectral data were split into calibration (75%) and validation (25%) sets, and single sensor and DF models were developed using partial least squares regression (PLSR). Maps of Ka were used to present spatial variability of potassium across an 8.4 ha Voor de Hoeves target field, in Flanders, Belgium. Results showed that the gamma-ray PLSR model using wet soils had greater predictive ability with coefficient of determination (R-2) = 0.71, ratio of performance deviation (RPD) = 1.89, root mean square error (RMSE) = 31.7 mg kg(-1), and ratio of performance to interquartile range (RPIQ) = 2.36 than the corresponding wet-XRF PLSR model (R-2 = 0.61, RPD = 1.64, RMSE = 48.8 mg kg(-1) and RPIQ = 1.84). The DF PLSR model on wet soils, resulted in a more accurate Ka predictive ability (R-2 = 0.75, RPD = 2.03, RMSE = 31.3 mg kg(-1) and RPIQ = 2.79), compared to the individual gamma ray or XRF sensors in wet soils. The best accuracy was obtained with XRF spectrometer using dry samples (R-2 = 0.77, RPD = 2.14, RMSE = 26.5 mg kg(-1) and RPIQ = 3.39). All Ka prediction maps showed spatial similarity to the corresponding measured maps in the target field. In conclusion, since DF increased the Ka prediction accuracy compared to the single sensor models using wet soils, it is recommended to be adopted in future studies as a potential solution for Ka measurement, mapping, and ultimately for site-specific K2O fertilisation management. The XRF analysis of dry spectra is recommended as the best method for accurate measurement of K-a.