Sürdürülebilir Kalkınma Amaçları
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- MakaleAçık Erişim2026Scopus SJRQ3Energy Consumption in the EU: The Role of Productivity and Efficiency-Driven Technology; [AB’de Enerji Tüketimi: Üretkenlik ve Verimlilik Odaklı Teknolojinin Rolü]
Çakır, Mehmet Ali; Ökte, Mehmet Kutluğhan Savaş
This study investigates how productivity and productivity-intensive technologies affect energy consumption in selected EU countries from 1996 to 2021. Despite technological progress, fossil fuels still dominate, posing environmental and economic concerns. Using the AMG method, results show that multifactor productivity significantly reduces energy use, while productivity-intensive technologies offer smaller but meaningful reductions. In contrast to prior research linking technology to higher energy demand, this study highlights the importance of efficiency-focused innovation. Findings support the EU’s 2030 energy reduction target and suggest policymakers should prioritise productivity-intensive technologies, on-the-job training, and digital tools to decouple growth from energy consumption.
- MakaleAçık Erişim2024Scopus SJRQ2Bioethanol Production from Mulberry Molasses Waste with Ohmic-Assisted Hydrodistillation
Tunç, Merve Tuğçe; Genç, Berna; Karataş, Şeyda Merve
In this study, the fermentation process of bioethanol production conditions were optimized by response surface methodology. Mulberry molasses production waste was used as the only carbon source for yeast fermentation to produce bioethanol. Hydrodistillation (HD) and ohmic-assisted hydrodistillation (OAHD) methods were employed to concentrate the bioethanol. Fermentation time (48–168 h), waste matter rate (5–45%) and pH (5–7) were selected as independent variables. Alcohol concentration was treated as the response. Optimum fermentation conditions were determined as 96.894 h fermentation time, 45% waste ratio and pH 7. At these optimum conditions, alcohol concentration was determined as 3.77 ± 0.33%. While the distillate obtained in the HD method contained 22.50 ± 1.89% alcohol, it showed 27.72 ± 0.24% in the OAHD method. The energy consumption values for OAHD and HD was 2.92 ± 0.51 and 53.24 ± 1.74 Wh/mL bioethanol, respectively. Results of study showed that the OAHD could be a cost-effective and green method to distillation of bioethanol from mulberry molasses waste.
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İncele - Yüksek Lisans TeziAçık Erişim2023Kripto para madenciliğinin neden olduğu çevresel sorunlara vergi çözümleri
Fadime Can
Bitcoin ve diğer kripto para birimleri teknolojinin gelişmesiyle birlikte son yıllarda daha fazla önem kazanmakta ve kripto paraların kullanımı daha fazla tercih edilmektedir. Kripto paraların yüksek getiri oranları, işlem maliyetlerinin az olması ve üçüncü bir tarafın olmaması, bankalara veya merkezi bir otoriteye bağlı olmamasından dolayı dünya çapında daha cazip bir yatırım ve ödeme aracı haline gelmiştir. Ayrıca blockchain teknolojisi ile işlemlerin daha kolay yapılması ve herhangi bir yere gitmeden tüm işlemleri tek bir bilgisayar üzerinden yapılabilmesi de tercih edilebilirliğini arttırmaktadır. Ancak kripto paralardaki kullanımın artması ve kripto para elde etmek için yapılan kripto para madenciliğinin de giderek artması ile tüketilen enerjide artmaktadır. Bu çalışmada blockchain teknolojisi, Bitcoin ve diğer kripto para birimlerinin tarihsel süreçleri ve ortaya çıkış nedenleri incelenmektedir. Daha sonra kripto para teknolojisi olan blockchain teknolojisinin ve kripto para madenciliğinin çevre üzerindeki etkilerini ortaya çıkarmak amaçlanmaktadır. Bu çevresel etkiler ile ortaya çıkan fazla enerji tüketimi de ele alınmaktadır. Ayrıca birkaç ülke örnek verilerek kripto para madenciliğinin ülkeler üzerindeki etkileri incelenmektedir. Kripto para madenciliği ve blockchain teknolojisi kullanımı ile ortaya çıkan fazla enerji tüketiminin ve çevre üzerindeki olumsuz etkilerini ortadan kaldıracak vergisel çözüm önerileri sunulmaktadır. Sunulan bu önerilerin etkilerini ortaya çıkararak faaliyetler sonucu gerçekleşen fazla enerji tüketimini önlemek amaçlanmaktadır.
- MakaleYalnız künye2023The Relationship between Urbanization, Energy Consumption and Carbon Dioxide Emissions: Panel Ardl Analysis for Newly Industrialized Countries
Akyol, Mehmet
An increase in the world population, technological advancement, and economic concerns bring along an increase in urbanization and energy consumption. Increasing urbanization speed and energy consumption cause environmental problems. The main hypothesis of this study is based on the idea that urbanization rate and energy consumption increase carbon dioxide emissions in developing countries. To test this hypethesis, the study ana-lyzed the relationship between urbanization, energy consump-tion, and carbon dioxide emission specific to newly industrialized countries. Panel ARDL method was utilized in this study that scrutinized the years between 1990 and 2018. According to the long-term results of the analysis, urbanization negatively affects carbon dioxide emission in the country group aforementioned; energy consumption and economic growth that is control vari-able have a positive effect on carbon-dioxide emission. Regarding short-term results, only the energy consumption positively af-fects carbon dioxide emission while other variables are statisti-cally insignificant. The results of the analysis reveal the necessity of policies towards smart city applications in reducing carbon dioxide emissions in newly industrialized countries. In addition, turning to renewable sources in energy consumption plays a key role in reducing carbon dioxide emissions.
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İncele - MakaleYalnız künye2011Scopus SJRQ1Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables
Kankal, Murat; Akpinar, Adem; Kömürcü, Murat Ihsan; Özşahin, Talat Şükrü
This study deals with the modeling of the energy consumption in Turkey in order to forecast future projections based on socio-economic and demographic variables (gross domestic product-GDP, population, import and export amounts, and employment) using artificial neural network (ANN) and regression analyses. For this purpose, four diverse models including different indicators were used in the analyses. As the result of the analyses, this research proposes Model 2 as a suitable ANN model (having four independent variables being GDP, population, the amount of import and export) to efficiently estimate the energy consumption for Turkey. The proposed model predicted the energy consumption better than the regression models and the other three ANN models. Thus, the future energy consumption of Turkey is calculated by means of this model under different scenarios. The predicted forecast results by ANN were compared with the official forecasts. Finally, it was concluded that all the scenarios that were analyzed gave lower estimates of the energy consumption than the MENR projections and these scenarios also showed that the future energy consumption of Turkey would vary between 117.0 and 175.4. Mtoe in 2014.
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