Yazar "Karabuga, Arif" seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim Yok
    Öğe
    Application of artificial neural network model for forecast energy efficiency of the cryogenic liquefaction system in the meaning of sustainability
    (Inderscience Enterprises Ltd, 2021) Altintas, Elif; Tolon, Mert; Karabuga, Arif; Utlu, Zafer
    Sustainable engineering approaches are a necessity for improving efficiency. For this reason, the artificial neural network (ANN) model is used to forecast different types of energy efficiency problems. In this paper, a comparison is made between a simple model based on ANN which gives meaningful findings in terms of thermodynamics and a model that is based on thermodynamic principles as auditing and predicting tool to forecast exergy efficiency of the system by applying different ANN architecture types with 441 data of experimental measurements obtained from liquefied nitrogen and analysed the Engineering Equation Solver (EES) program to make an exergy analysis.
  • Küçük Resim
    Öğe
    Design today save future
    (Istanbul Gedik University, 2019) Yahya, Noorhana; Pereira, Carlos Mourão; Canci Matur, Utku; Özbudak, Özgün; Önal, Feride; Tolon, Mart; Karabuga, Arif
    Along with the development of technology, industrialization and rapid population growth have increased the energy demand. The awareness of the energy crisis has led researchers to search for new solutions and use new technologies in this area. Renewable energy has an extremely important place in energy requirement of the countries with domestic resources, reducing the external dependency, diversifying the resources and ensuring sustainable energy usage and minimizing the damages to the environment as a result of energy consumption. Today, around 20 percent of the world’s consumed energy is supply from renewable sources. Despite the high level of dependence on fossil fuels in the current situation, the use of renewable energy has been increasing steadily over the years. The conventional energy sources that already supply most of the energy demand. However, it is estimated that fossil fuels, especially petroleum, will be consumed in the next 200-300 years. In order to be able to produce solutions for this situation, it is necessary to carry out many research/development and production/development projects related to both conventional energy sources and alternative energy sources.
  • Küçük Resim Yok
    Öğe
    Examination of the liquefaction system for the use of different cryogenics in terms of thermodynamic analysis
    (Inderscience Enterprises Ltd, 2019) Karabuga, Arif; Utlu, Zafer; Selbas, Resat
    Energy consumption in the world is increasing day by day. In addition to diversifying energy resources, it is also important to reduce energy consumption. In order to find the actual consumption of a thermodynamic system, energy efficiency as well as exergy efficiency should be done. The purpose of this study is to determine the parameters affecting the exergy efficiency of the cryogenic liquefaction unit integrated into a real cryogenic air separation unit. Cryogenic liquefaction is one of the basic processes between liquefaction methods. In addition to this process, absorption and membrane are used in methods. The main difference in the selection of these methods is the desired purity rates. Cryogenes are defined as fluids used in cryogenic cooling. In this study, five different cryogenes in the air are investigated. The energy and exergy analysis of the liquefaction unit for each cryogen is made. As a result of the study, the highest COPactual value is obtained with 0.3105 hydrogen fluid and the highest COPrev value with 0.8551 oxygen. Exergy of the system is found as 0.48 with hydrogen.
  • Küçük Resim Yok
    Öğe
    Modelling of energy and exergy analysis of ORC integrated systems in terms of sustainability by applying artificial neural network
    (Oxford Univ Press, 2021) Utlu, Zafer; Tolon, Mert; Karabuga, Arif
    The present study focuses on the organic Rankine cycle (ORC) integrated into an evacuated tube heat pipe (ETHP), whose systems are an alternative solar energy system to low-efficiency planary collectors. In this work, a detailed thermodynamic and artificial neural network (ANN) analysis was conducted to evaluate the solar energy system. One of the key parameters of sustainable approaches focused on exergy efficiency is application of thermal engineering. In addition to this, sustainable engineering approaches nowadays are a necessity for improving the efficiency of all of the engineering research areas. For this reason, the ANN model is used to forecast different types of energy efficiency problems in thermodynamic literature. The examined system consists of two main parts such as the ETHP system and the ORC system used for thermal energy production. With this system, it is aimed to evaluate energy and exergy analysis results by the ANN method in the case of integrating the ORC system to ETHP, which is one of the planar collectors suitable for the roofs of the buildings. Within the scope of this study, the exergy efficiency was evaluated on the developed ANN algorithm. The effect rates of parameters such as pressure, temperature and ambient temperature affecting the exergy efficiency of ORC integrated ETHP were calculated. Ambient temperature was found to be the most influential parameter on exergy efficiency. The exergy efficiency of the whole system has been calculated as similar to 23.39%. The most suitable BPNN architecture for this case study is recurrent networks with dampened feedback (Jordan-Elman nets). The success rate of the developed BPNN model is 95.4%.