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Filtreler
Dr. Öğr. Üyesi Fatma Didem TunçezKTO KARATAY ÜNİVERSİTESİ/İKTİSADİ, İDARİ VE SOSYAL BİLİMLER FAKÜLTESİ/ENERJİ YÖNETİMİ BÖLÜMÜ/ENERJİ YÖNETİMİ PR. (TAM BURSLU)/
Erişime Açık

Utilization of Waste for Energy Generation in Clinker Production: Environmental Perspective

TUNÇEZ, Fatma Didem

Meeting the increasing energy need from fossil fuels such as coal, oil and natural gas caused the rapid depletion of natural resources. In a world where the need for energy is constantly increasing and resources are getting scarce, it is necessary to ensure the sustainability of energy. Clinker production is a process which require high amount of energy in manufacturing industry. The fact that energy is mostly obtained from coal, which is a non-renewable fuel, puts the future of the sustainability of cement production at risk. Alternative fuel usage plays the most important role in achieving m ...Daha fazlası

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Improving the bio-reclamation efficiency of petrol-derived wastes with Trichocladium Canadense

TUNÇEZ, Fatma Didem | ÇALIŞIYOR, Aslınur | ÖZBAYRAM, Emine Gözde | İNCE, Bahar | İNCE, Orhan | TOPRAK, Songül

It is known that petroleum and its derivatives causes significant pollution in the environment as a result of accidents during the production, transportation and utilization processes. The low boiling compounds and aromatics present in the structure of the petroleum (including PAH and MAH) have toxic and even some carcinogenic effects on living organisms (Aydın et al., 2016). These wastes are not easily biodegradable due to the complex structure and accumulate in the soil which affect the soil structure and reduce the water retention therefore reducing its fertility (Mohan et al., 2011). Altho ...Daha fazlası

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Short-Term Prediction of PM2. 5 Pollution with Deep Learning Methods

AYTURAN, Yasin Akın | AYTURAN, Zeynep Cansu | ALTUN, Hüseyin Oktay | KONGOLİ, Cezar | TUNÇEZ, Fatma Didem | DURSUN, Şükrü | ÖZTÜRK, Ali

Particulate matter (PM), classified according to aerodynamic diameter, is one of the harmful pollutants causing health damaging effects. It is considered as cancerogenic by the World Health Organization (WHO) because of the substances found in the chemical composition of PM. In this study, short-term prediction of PM2.5 pollution at 1, 2 and 3 hours was modelled using deep learning methods. Three deep learning algorithms and the combination thereof were evaluated: Long-short term memory units (LSTM), recurrent neural networks (RNN) and gated recurrent unit (GRU). Air Quality Monitoring Station ...Daha fazlası

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