Bu makalede, Sakarya Üniversitesi’nin rüzgâr enerjisi potansiyeli değerlendirilmiştir. Sakarya Üniversitesi için yapılan rüzgâr enerjisi potansiyel belirleme çalışmasında, Esentepe rüzgâr ölçüm ...istasyonundan alınan rüzgâr verileri ile bölgenin topoğrafya, engel ve pürüzlülük bilgileri kullanılmıştır. Hesaplamalar, WAsP (Rüzgâr Atlası Analiz ve Uygulama Programı) paket programı ve diğer rüzgâr enerjisi analiz programlarıyla yapılmıştır. Farklı yükseklikler için elde edilen sonuçlar değerlendirilerek rüzgâr enerjisi yatırımı yapmak isteyenlere tavsiyelerde bulunulmuştur.
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In this study, a simple methodology is proposed to estimate ambient temperature bin data. The proposed model is based on the determination of the best fitting equation describing the characteristics ...of the cumulative frequency distribution of yearly bin weather data values. This approach makes it easy for anyone, who needs bin data values for any location, to adopt the fitted equations in the building energy performance calculations. A case study was applied to six cities in Turkey, and the applicability of the proposed model has been shown. The obtained
R
2
values of the fitted equations are higher than 0.99. Therefore, the coefficients of the fitted equations for any location can be used easily to predict any bin data value to be used in building energy performance calculations. The results of this study are important for the experts using bin method.
Predicting the instant moisture content of the low-rank coals under the different drying conditions is crucial to construct the optimal system design and operation related to drying processes. Even ...if the thin-layer drying models are at the center of the field studies, the disadvantage of these type models is that the prediction results are valid only for the conditions of the drying experiment. Conversely, artificial intelligence models can provide accurate prediction results under a wide range of different conditions. Nevertheless, they are not practical because of their implicit forms and require both the specific software and experts. In this study, the GMDH-type neural network is applied for the first time in developing explicit model equations for the prediction of coal moisture at any time during the drying process. 223 experimental instances are used, representing coal moisture contents obtained under the different drying conditions. The considered parameters are bed height (80-150 mm), coal sample size (20-50 mm), drying air velocity (0.4-1.1 m/s), drying air temperature (70-160 °C), and drying time (0-270 minute). The developed equation is nonlinear and provides satisfactory prediction accuracy (R
2
is 0.96-0.99) for different drying conditions. Additionally, its usage is quite practical due to the explicit form.
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BFBNIB, DOBA, GIS, IJS, IZUM, KILJ, KISLJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
In vehicle cooling radiators, in general, water is used as a cooling fluid. Adding of nanoparticles to the cooling water has a significant effect on heat transfer performance of the radiator. One of ...the most popular nanoparticle for this kind of applications is Al2O3. There are some critical issues for the application of nanofluids as homogeneity of nanoparticle distribution and concentration of nanoparticles. In the present study, the Al2O3 particles used in an internal combustion engine cooling radiator to enhance heat transfer performance. The experimental works were done for different concentrations as 0.25, 0.50 and 1.0 wt% and engine brake power values. The enhancement of the heat transfer performance is achieved up to 37.2% (9.4 kW brake power and 1% concentration). The lowest overall heat transfer improvement was obtained as 2% (11.5 kW brake power and 0.25% concentration). The obtained results showed that adding of nanoparticles to the cooling water improves the heat transfer performance.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
The typical meteorological year (TMY) method has common applications in building energy performance and solar energy studies. However, there is not any well accepted method for the wind energy ...applications such as the TMY. In the present study, a new reference year approach is proposed for wind energy applications. By using the proposed method, the reference wind year (RWY) datasets may be generated as in the TMY methodology for any measurement station which has the possibility to be used as a reference station in the measure-correlate-predict (MCP) analyses. The MCP calculations are so significant to estimate the long term wind conditions for a candidate wind farm site. In this study, a case study is performed for Turkey after giving the details of the proposed method. The results for the RWY approach has a good agreement with the long term data as in the TMY method. Therefore, the RWY concept has the possibility to make the MCP studies easier and faster.
Coal is an important component in the energy industry and plays a key role in energy-producing facilities. Moisture is a common condition that has a considerable impact on coal. Coal drying has long ...been a question of great interest in a wide range of fields. Defining parameters in the coal drying is obtained by experiments. High costs, time constraints, and repetition of an experiment are one of the most frequently stated problems with experimental works. Using qualitative methods with experiments can be more useful for identifying and characterizing the coal drying process. The purpose of this article is finding the effective parameters in the coal drying process by using a hybridized prediction method. Genetic Algorithm (GA) and Artificial Neural Network (ANN) are hybridized with each other to identify and characterize the coal drying process. GA-ANN algorithm is applied to the coal drying process to predict the moisture of coal, but it does not provide a decent result at first. Later, the Design of Experiment (DoE) methodology is performed to determine the main effects of six parameters. Two scenarios are generated because two parameters are not statistically significant. The first scenario excludes the air relative humidity parameter, and the second scenario excludes the air relative humidity and the velocity of air parameters. Following the application of the DoE method, GA-ANN reaches decent results in scenario-2.
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BFBNIB, DOBA, GIS, IJS, IZUM, KILJ, KISLJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Bu makalede, Sakarya Üniversitesi’nin rüzgâr enerjisi potansiyeli değerlendirilmiştir. Sakarya Üniversitesi için yapılan rüzgâr enerjisi potansiyel belirleme çalışmasında, Esentepe rüzgâr ölçüm ...istasyonundan alınan rüzgâr verileri ile bölgenin topoğrafya, engel ve pürüzlülük bilgileri kullanılmıştır. Hesaplamalar, WAsP (Rüzgâr Atlası Analiz ve Uygulama Programı) paket programı ve diğer rüzgâr enerjisi analiz programlarıyla yapılmıştır. Farklı yükseklikler için elde edilen sonuçlar değerlendirilerek rüzgâr enerjisi yatırımı yapmak isteyenlere tavsiyelerde bulunulmuştur.
Full text
Available for:
IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Bu makalede, Sakarya Üniversitesi’nin rüzgâr enerjisi potansiyeli değerlendirilmiştir. Sakarya Üniversitesi için yapılan rüzgâr enerjisi potansiyel belirleme çalışmasında, Esentepe rüzgâr ölçüm ...istasyonundan alınan rüzgâr verileri ile bölgenin topoğrafya, engel ve pürüzlülük bilgileri kullanılmıştır. Hesaplamalar, WAsP (Rüzgâr Atlası Analiz ve Uygulama Programı) paket programı ve diğer rüzgâr enerjisi analiz programlarıyla yapılmıştır. Farklı yükseklikler için elde edilen sonuçlar değerlendirilerek rüzgâr enerjisi yatırımı yapmak isteyenlere tavsiyelerde bulunulmuştur.
Full text
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
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