Today, decrease in fossil resources and the ever increasing need for energy increases the importance of renewable energy resources. Wind power; It has an important potential and usage area in clean and renewable energy sources. The measurement of Wind speed and direction values is very important in terms of evaluating the data of Wind power plant (WPP) project and estimating the amount of energy that can be produced. Wind energy is a good example of clean energy source due to its advantages such as cleanless fast commissioning, and reliability. There has been a significant increase in recent years especially in terms of utilizing wind energy. By the end of 2016, the installed wind power capacity in the world is 486 749 MW, Turkey takes the 11th place with 6,081 MW of installed capacity. In this study, the use of wind power in Turkey's Mersin province were studied. Mersin province in terms of installed wind power capacity has an important place in Turkey. As of 2016, the installed wind power capacity throughout the province is 364 MW, but the usable wind energy potential in the region is about 3414 MW.

In this study, performance estimation of biological wastewater treatment plants (WWTP) was made by applying Artificial Neural Network (ANN) techniques. As material, 355-day data from Adana Metropolitan Municipality Seyhan wastewater treatment plant for 2021 were used. Of the data used, 240 were evaluated as training data and 115 as test data. In the establishment of the ANN model, the daily chemical oxygen demand (COD), daily water flow (Qw) and daily suspended solids (SS) parameters at the entrance of the WWTP were used as input parameters. The daily biological oxygen demand (BOD) parameter was determined as the output parameter. In the study, feed forward back propagation ANN model (FFBPANN) was used to estimate the daily BOD amounts at the entrance of the WWTP. In the statistical analysis, the correlation (R2) values of the input parameters with BOD were found to be 0.906 for COD, 0.294 for Qw and 0.605 for SS. The R2 value was determined as 0.891, the MAE value was 10.32% and the RMSE value was 722.21 in the network structures where the best results were obtained for the test and training data (in the 4-4-1 ANN model). As a result of the study, it was concluded that the ANN model was successful in estimating the BODs of the WWTPs in obtaining reliable and realistic results, and that effective analyzes with the simulation of their nonlinear behavior could be used as a good performance evaluation tool in terms of reducing operating costs.

In this study is to determine the current status of organic wastes obtained from plant, animal, kitchen and industrial sewage sludge plants in Mersin province and to generate biogas energy production potential and to create sustainable solutions at the local level. Data on animals and plants were obtained from Mersin Provincial Directorate of Agriculture and Forestry and data on kitchen and industrial wastes were obtained from Mersin Metropolitan Municipality. As a result of this study, the daily organic matter produced in animal, vegetable, kitchen and sewage sludge plant in Mersin province is 16801.48 tons and the amount of biogas produced from these wastes is 557432.47 m3 and the electricity generated from methane is 2619.93 MWh. The amount of electricity produced from organic wastes; 57% were obtained from animal manure, 33% from treatment sludge, 6% from kitchen waste and 4% from agricultural waste. In Mersin province, it has been determined that animal manure and sewage sludge have significant potential in terms of organic matter. In addition, the biogas facilities to be established will provide commercial value contribution to the enterprises.

Tr en Bu çalışmanın amacı, soya bitkisinde tepe sürgününün kesilerek bitki mimarisinde oluşturulacak değişimin biyomas verimini artırma potansiyelini belirlemektir. Araştırmada Çukurova Bölgesinde ana ürün olarak yaygın üretimi yapılan Arısoy ve Lider soya çeşitleri materyal olarak kullanılmıştır. Tepe sürgün budama uygulamaları bitkiler üç yapraklı (3B) ve beş yapraklı (5B) aşamada iken gerçekleştirilmiştir. Araştırmada Arısoy çeşidinde dekara tohum verimi kontrol grubunda 461 kg, 3B uygulamasında 440 kg, 5B uygulamasında 553 kg olarak gerçekleşmiştir. Bu değer Lider çeşidinde ise sırası ile 540, 478 ve 519 kg olarak gerçekleşmiştir. Araştırma sonucunda, tohum verimi en yüksek Arısoy çeşidinin 5B uygulamasında görünürken, Lider çeşidi ise iki farklı uygulamaya (3B ve 5B) negatif tepki vermiştir. Bu durum, bölgemizde Arısoy çeşidinde 5B döneminde yüksek tohum ve biyomas verimi için uygun bitki mimarisini geliştirecek budama mekanizasyonun uygulanabilir olduğunu ortaya çıkarmıştır. The aim of this study was to determine the potential biomass yield increase by the change created in plant architecture by cutting the top shoot of soybean. In the research, Arısoy and Lider soybean varieties, which are widely cultivated in Çukurova Region, were used as materials. In the research, plants top shoots were pruned during three-leaf (3B) and five-leaf (5B) stages. In the study, the seed yield per decare in the Arısoy variety was 461 kg in the control group, 440 kg in 3B application and 553 kg in 5B application. These values were realized as 540, 478 and 519 kg in the Leader variety, respectively. As a result of the research, while the seed yield was highest in the 5B application of the Arısoy variety, the Leader variety responded negatively to two different applications (3B and 5B). This situation revealed that pruning mechanization, which will develop suitable plant architecture for high seed and biomass yield in 5B period in Arısoy variety in our region, is applicable.

The aim of this study is to assess the capacity of agricultural residues in South Sudan in terms of their types and quantities. The country had limited access to modern energy sources, and most of the population relied on traditional biomass for cooking and heating. However, efforts were being made to explore and develop alternative and sustainable energy sources, including biomass energy. Biomass energy involves the use of organic materials, such as wood, crop residues, and animal waste, to generate heat or electricity. In the context of South Sudan, biomass energy could play a crucial role in meeting the energy needs of the population, especially in rural areas. The quantities of crops cultivated in South Sudan, measured in tons of dry matter per year, were determined through calculations based on production data from the Food and Agriculture Organization Statistical Databases of the United Nations (FAOSTAT) for the 2021 seasonal year. The annual gross potential of agricultural residues was calculated by employing a residue to product ratio. The energy potential of crop residues was computed by multiplying the calorific values of agricultural residues with the available amount of residue. The total energy potential of agricultural residues during the 2021 production period in South Sudan amounted to approximately 112.7 TJ. The total amount of unused agricultural crop residues was estimated to be approximately 8.6 kilo tons (Kt). The proportion of overall residue quantity comprises major crops such as sorghum (78.71%), maize (11.06%), rice (5.66%), and millet (4.36%).