In this study, using Crystall Ball software Monte Carlo Simulation (MCS) Model was used for evaluation of wind power plant (WPP) investment. WPP project's Net Present Value (NPV) were determined, by simulating different combinations of input variables affecting the WPP investments. Three different scenarios were used in the evaluation of the project's NPV. In the simulation results for three scenarios, the results of the MCS analysis of the WPP investment's NPV was obtained. End of the results, MCS is a useful method for the evaluation of the WPP investmet.

Yenilenebilir enerji kaynaklarından rüzgâr ve güneş enerjisi; temiz, güvenilir, tükenmeyen ve düşük işletme maliyetli enerji kaynaklarındandır. Bu araştırmada, simülasyon yönteminden yararlanılarak rüzgâr enerjisi santral (RES) ve güneş enerjisi santral (GES) yatırımlarının ekonomik performanslarının değerlendirilmesi yapılmıştır. Rüzgâr ve güneş enerjisi yatırımını etkileyen girdi değişkenlerin farklı kombinasyonları simüle edilerek, RES ve GES yatırım projelerinin net karlılık ve geri ödeme süresi gibi ekonomik performansları hesaplanmıştır. Böylelikle yapılması planlanan RES ve GES yatırımlarının ekonomik performansları tespit edilmiştir.Uygulama sonuçlarına göre RES yatırımlarında ekonomik olarak karlılığa geçilebilmesi için kapasite kullanımının %26'nın üzerinde olması gerekir. Yine uygulama sonuçlarına göre GES yatırımlarının ekonomik olarak karlılığa geçebilmesi için kapasite kullanımının %20'nin üzerinde olması gerekir.

The COVID-19 pandemic, which emerged in 2019, disrupted global education and training activities. During the epidemic, online education has replaced face-to-face education. During the epidemic, the routines of all families and their children have changed. This situation adversely affected the lives of both families with normally developing children and families with children with special needs. Significantly during the pandemic process, the workload of mothers has increased. From this point of view, the research aims to reveal the problems experienced by the mothers of children diagnosed with autism spectrum disorder during the COVID-19 pandemic. For this purpose, the opinions of 20 mothers who had a child diagnosed with autism spectrum disorder and participated in the study voluntarily were taken. The case study design was used as a qualitative research approach. In the study, data were collected by voice recording through semi-structured interviews, one of the qualitative data collection techniques. The obtained data were written down, checked and analyzed through descriptive analysis. According to the study, mothers stated that their children were bored at home and wanted to go out; they encountered behavioral problems and forgot what their children learned at school. They reported that their children spend more time with digital tools such as phones, tablets, and computers. They stated that they could not get feedback from the online courses, the courses were not organized according to individual differences, they had connection problems, and they could not benefit enough due to a lack of resources. All the mothers who participated in the interview emphasized that they wanted the education to be face-to-face.